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Showing 1-50 of 833 results


Student Performance Prediction using Machine Learning

Abstract: Although the educational level of the Portuguese population has improved in the last decades, the statistics keep Portugal at Europe’s tail end due to its high student failure rates. In particular, lack of success in the core classes of Mathematics and the Portuguese language is extremely serious. On the other hand, the fields of


Student feedback analysis

Abstract: Advances in natural language processing (NLP) and educational technology, as well as the availability of unprecedented amounts of educationally-relevant text and speech data, have led to an increasing interest in using NLP to address the needs of teachers and students. Educational applications differ in many ways, however, from the types of applications for which


Machine Learning based Regression Model for Prediction of Soil Surface Humidity over Moderately Vegetated Fields

Abstract: Agriculture is one of the major revenue producing sectors of India and a source of survival. Numerous seasonal, economic and biological patterns influence the crop production but unpredictable changes in these patterns lead to a great loss to farmers. These risks can be reduced when suitable approaches are employed on data related to soil


Extracting Phishing Website Features in URL and Prediction using Machine Learning

Abstract: Malicious Web sites largely promote the growth of Internet criminal activities and constrain the development of Web services. As a result, there has been strong motivation to develop systemic solution to stopping the user from visiting such Web sites. We propose a learning based approach to classifying Web sites into 3 classes: Benign, Spam


Soil Moisture Retrieval using Ground Water Dataset using Machine Learning

Abstract:                       In this project work we perform analysis of groundwater level data in three districts of Tamilnadus. We have analysed this data for more than 100 observation wells in each of these districts and developed seasonal models to represent the groundwater behaviour. Three different type of models were developed-periodic, polynomial and rainfall models. While periodic


Crime Analysis and Prediction using Optimized K-Means Algorithm

Abstract: In this day and age security is a perspective which is given higher need by all political and government worldwide and intending to decrease wrongdoing frequency. As information mining is the proper field to apply on high volume wrongdoing dataset and information picked up from information mining approaches will be helpful and bolster police


Using NLP approach Predicting an automated answer chatbot technique

Objective: The main objective of our work has been to design, implement and evaluate a QA system to specifically deal with text based queries, creating and evaluating new techniques whenever analyse text based queries, they will provide perfect solution this system.   Abstract: Natural language processing (NLP) is a form of artificial intelligence (AI) which


Arabic Natural Language Processing and Machine Learning-based Systems

Abstract: Arabic is a Semitic language spoken by more than 330 million people as a native language, in an area extending from the Arabian/Persian Gulf in the East to the Atlantic Ocean in the West. Moreover, it is the language in which 1.4 billion Muslims around the world perform their daily prayers. Over the last


Data Science Process Pipeline to Solve Employee Attrition and Their Job Performance and Predicting with AI

Introduction: Machine learning is a form of AI that enables a system to learn from data rather than through explicit programming. However, machine learning is not a simple process. As the algorithms ingest training data, it is then possible to produce more precise models based on that data. A machine learning model is the output


Sentiment Analysis of Medicine Reviews Using NLP with Machine Learning Models

Abstract: The need to analyze user generated data over the web has recently gained importance due to the abundance of knowledge which can be acquired by careful analysis of such data. Majority of such data is available via online networking websites like Facebook, Twitter, LinkedIn, etc. The data available in such platforms are in the


User-Level Runtime Security Auditing for the Cloud

Objective: We propose a privacy-preserving mechanism that supports public auditing on shared data stored in the cloud.   Synopsis: In this paper, we propose a privacy-preserving mechanism that supports public auditing on shared data stored in the cloud. In particular, we exploit ring signatures to compute verification metadata needed to audit the correctness of shared


Supporting Privacy Protection in Personalized Web Search

Objective: The proposed personalized mobile search engine is an innovative approach for personalizing web search results. By mining content concepts for user profiling, it utilizes both the content preferences to personalize search results for a user.   Domain: Data mining   Synopsis: We propose a personalized search engine that captures the users’ preferences in the


Real time video streaming platform device for mobile networks

Objective: In this paper, to realized a prototype of this architecture to validate the feasibility of the proposed method. According to the experiment, this method could provide efficient self-adaptive multimedia streaming services for varying bandwidth environments.    Domain: Cloud Computing   Synopsis: Cloud multimedia services provide a capable, flexible, and scalable data processing method and


Secured Erasure Code Based Algorithm For Cloud Data Security in Distributed Storage System

Abstract:  High-speed networks and ubiquitous Internet access become available to users for access anywhere at any time. Cloud computing is a concept that treats the resources on the Internet as a unified entity, a cloud. Cloud storage is a model of networked online storage where data is stored in virtualized pools of storage which are generally hosted by


A Hybrid Cloud Approach For Secure Authorized Deduplication

Objective: To implement a prototype of the proposed authorized duplicate check and evaluate the overhead of the prototype. The overhead is minimal compared to the normal convergent encryption and file upload operations.   Synopsis: Data deduplication is one of important data compression techniques for eliminating duplicate copies of repeating data, and has been widely used


Adaptive Watermarking And Tree Structure Based Image Quality Estimation

Abstract: Watermarking is the process of hiding digital information into a cover image; the hidden information should,but does not need to contain a relation to the cover image. Digital watermarks may be used to verify the authenticity or integrity of the cover imageAchieving the purpose of information hiding with the secret bits of information to


Text Based Image Retrieval Using Neural Network Algorithm

Abstract: We gift a image retrieval system supported a combined search of text and content. But it has been going complex to retrieve the image from text. We have so many implementations regarding the content based image retrieval. In this project the concept is to use the text gift in title, description, and tags of


CNN-based Adversarial Embedding for Image Steganography

Abstract: Steganographic schemes are commonly designed in a way to preserve image statistics or steganalytic features. Since most of the state-of-the-art steganalytic methods employ a machine learning (ML) based classifier, it is reasonable to consider countering steganalysis by trying to fool the ML classifiers. However, simply applying perturbations on stego images as adversarial examples may


An improved method for reversible data hiding steganography combined with cryptography

Abstract: Information Security has always been a very substantial facet when it comes to hindering unauthorised access, destruction or inspection of confidential data. Today every field in the world makes use of multimedia information. There is need to secure the confidential information used in these areas. There are multiple approaches to secure information. One of


SAR Image Fusion Using Fire Fly Algorithm

Abstract: Unlike multispectral (MSI) and panchromatic (PAN) images, generally the spatial resolution of hyper spectral images(HSI) is limited, due to sensor limitations. In many applications,HSI with a high spectral as well as spatial resolution are required. In this paper, a new method for spatial resolution enhancement of a HSI using spectral unfixing and sparse coding


Predicting Detection Performance on Security X-Ray Images as a Function Of Image Quality

Abstract: Developing methods to predict how image quality affects task performance is a topic of great interest in many applications. While such studies have been performed in the medical imaging community, little work has been reported in the security X-ray imaging literature. In this work, we develop models that predict the effect of image quality


Online employee leave management System

Abstract: Efficient employee attendance management leads any organizations to increase overall corporate performance and accomplish specific goals. Accurate employee attendance records are importantly used to control working discipline and increase worker’s productivity. Manual attendance-time checking makes increasingly the expense of time-consuming and paper work of the companies. Human actions i.e. mistake at work, and fraudulent


Attentive Layer Separation for Object Classification and Object Localization in Object Detection

Abstract: Object detection became one of the major fields in computer vision. In object detection, object classification and object localization tasks are conducted. Previous deep learning-based object detection networks perform with feature maps generated by completely shared networks. However, object classification focuses on the most discriminative object part of the feature map. Whereas, object localization


A Novel Scheme Based on the Diffusion To Edge Detection

Abstract: A novel scheme of edge detection based on the physical law of diffusion is presented in this paper. Though the most current studies are using data based methods such as deep neural networks, these methods on machine learning need big data of labeled ground truth as well as a large amount of resources for


A Novel Technique for Effective Image Gallery Search using Content Based Image Retrieval System

Abstract: Content-based image retrieval is known as one of the upcoming procedural structure that will apply various techniques of computer vision for penetrating and organizing the huge image anthology in an effective manner. It is largely accepted that with the growth of immense collection of digital images generated by fast progress in electronically storage ability


Multimodal Bio-metric recognition with Fusion on Face Finger Iris Ear and Vein Pattern Based Recognition

Abstract: Security access control systems and forensic applications. Performance of conventional unimodal biometric systems is generally suffered due to the noisy data, non universality and intolerable error rate. In propose system, multi layer Convolutional Neural Network (CNN) is applied to multimodal biometric human authentication using face, palm vein and fingerprints to increase the robustness of


Moving Object Detection in Complex Scene Using Spatiotemporal Structured-Sparse RPCA

Abstract: Moving object detection is a fundamental step invarious computer vision applications. Robust Principal ComponentAnalysis (RPCA) based methods have often been employedfor this task. However, the performance of these methodsdeteriorates in the presence of dynamic background scenes,camera jitter, camouflaged moving objects, and/or variations inillumination. It is because of an underlying assumption that theelements in the


Model-Based Separation,Detection, and Classification of Eye Movements

Abstract: We present a physiologically motivated eye movement analysis framework for model-based separation, detection, and classification (MBSDC) of eye movements. By estimating kinematic and neural controller signals for saccades, smooth pursuit, and fixational eye movements in a mechanistic model of the oculomotor system we are able to separate and analyze these eye movements independently. Methods:


Lung Classification Using Image Processing

Abstract: Effective identification of lung cancer at an initial stage is an important and crucial aspect of image processing. Several Segmentation  methods have been used to detect lung cancer at early stage. In this paper, an approach has been presented which will diagnose lung cancer at an initial stage using CT scan images. One of


Prediction of Kidney Stones Using Medical Images With Deep Learning

Abstract: Kidney stone is a common problem amongst the western population. Most kidney stones are small and pass spontaneously. These patients often need no further treatment. However, some patients develop large stones, which can cause significant morbidity in the form of acute symptoms and chronic complications if they are not treated. Yet effective treatment and


Fusion Of Medical Images

Abstract: The project presents multi focus image fusion using stationary wavelet transform with local directional pattern and spatial frequency analysis. Multi focus image fusion in wireless visual sensor networks is a process of fusing two or more images to obtain a new one which contains a more accurate description of the scene than any of


Effective Image Filtering And Enhancement With Block Diagonal Representation

Abstract: Image DE blurring is the process of obtaining the original image by using the knowledge of the degrading factors. Degradation comes in many forms such as blur, noise, and camera Mis-focus. A major drawback of existing restoration methods for images is that they suffer from poor convergence properties, the algorithms converge to local minima,


Fusion of SAR and Multispectral Satellite Images Using Multiscale Analysis and Dempster-Shafer Theory for Flood Extent Extraction

Abstract: Monitoring flood extent by means of Synthetic Aperture Radar (SAR) images has become a very common practice among decision makers and planners in disaster management as these images provide wide area coverage in extreme weather conditions. However, due to the satellite revisit time, their availability hinders their efficient use in disaster management. To capitalize


Foggy Image Enhancement and Object Identification

Abstract: Images captured during adverse weather conditions frequently feature degraded visibility and undesirable color cast effects. Images captured in foggy weather conditions often suffer from poor visibility, which will create a lot of impacts on the outdoor computer vision systems, such as video surveillance, intelligent transportation assistance system, and remote sensing space cameras and so


Studies On Different CNN Algorithm for Face Skin Disease and Classification Of Clinical Images

Abstract: Skin problems not only injure physical health but also induce psychological problems, especially for patients whose faces have been damaged or even disfigured. Using smart devices, most of the people are able to obtain convenient clinical images of their face skin condition. On the other hand, the convolutional neural networks (CNNs) have achieved near


Matlab code for Eye Tracking based visualisation and Analysis

Abstract: Eye ball tracking system is assistant system to the patients who are not able to the voluntary works of the daily life. To communicate to the real world eye ball tracking will be useful. Patients who can control their eyes they can communicate to the people in the real world. In this project we


Image Dehazing by An Artificial Image Fusion Method based on Adaptive Structure Decomposition

Abstract: The project presents visibility restoration of single hazy images using color analysis and depth estimation with enhanced refined transmission technique. Visibility of outdoor images is often degraded by turbid mediums in poor weather, Haze can seriously affect the visible and visual quality of outdoor images. As a challenge in practice, image dehazing techniques are


Cloth Type Detection Using Segmentation And Classifier

Abstract: Quality inspection is an important aspect of modern industrial manufacturing. In textile industry production, automate fabric inspection is important for maintain the fabric quality. For a long time the fabric defects inspection process is still carried out with human visual inspection, and thus, insufficient and costly. Therefore, automatic fabric defect inspection is required to


A Cartoon-Texture Approach for JPEG JPEG 2000 Decompression Based on TGV and Shearlet Transform

Abstract: In this paper, we propose a new artifact-free variation model for JPEG/JPEG 2000 decompression based on a cartoon-texture decomposition scheme. The new animal convolution type regularization associated with total generalized variation (TGV) and shear let transform can reconstruct piecewise smooth images with structured textures well, due to the property of shear let of representing


Hiding An Audio With Text With RC7 Encryption

Abstract: An enhancement of data protection system for secret communication using reserve room in encrypted images based on texture analysis with lifting wavelet is proposed here. The wavelet will decompose the image into four frequency sub bands namely LL, LH, HL and HH. These coefficients are then utilized in the encoder for removing the redundancies.


Time Series Analysis of Stock Price Movements: Insights from Data Mining using Machine Learning

Objective: The main goal of a project is to To review totally different techniques to predict stock worth movement. To find the performance and accuracy of stock’s price.   Abstract: The goal of this paper is to review totally different techniques to predict stock worth movement victimisation the sentiment analysis from social media, data processing.


Comparing Prediction Performance for Crash Injury Severity among Various Machine Learning and Statistical Methods

Abstract:  There are many inventories in in automobile industries to design and build safety measures for automobiles, but traffic accidents are unavoidable. There is a huge number of accidents prevailing in all urban and rural areas. Patterns involved with different circumstances can be detected by developing an accurate prediction models which will be capable of


Real-time machine learning detection of heart disease using big data approach

Abstract: According to recent survey by UN agency (World health organization) seventeen.9 million individuals die annuallyowing to heart connected diseases and it’s increasing chop-chop. With the increasing population and illness, it’s become a challenge to diagnosisillness and providing the suitable treatment at the proper time. however,there’sa light-weight of hope that recent advances in technology have


Understanding and clustering hashtags according to their word distributions using NLP in Machine Learning

Abstract: Hashtags (single tokens often composed of natural language n-grams or abbreviations, prefixed with the character ‘#’) are ubiquitous on social networking services, particularly in short textual documents (a.k.a. posts). Authors use hashtags to diverse ends, many of which can be seen as labels for classical NLP tasks: disambiguation (chips #futurism vs. chips #junkfood); identification


Diabetes Prediction Using Machine Learning Approaches and Predication Using AI

Project objective: To analyze data by considering exiting user’s data set and predict what are chances of diabetes in coming five years. Information is shown in the form of different graphs.   Introduction: Data analysis is playing important part in analyzing dataset and predicting what are situations in coming years. This analysis can give option


Bitcoin Price Prediction Using Time Series Analysis Observations Marked with a Timestamp

Abstract: Machine learning and AI-assisted trading have attracted growing interest for the past few years. Here, we use this approach to test the hypothesis that the inefficiency of the crypto currency market can be exploited to generate abnormal profits. We analyze daily data for 1, 681 crypto currencies for the period between Nov. 2015 and


Voice based chat-bot for College Management System

Abstract: In this paper, we will create dataset about college details like staff details and college events, function etc.  Then, first we have to create one android app for using speech recognition. This paper presents the design and development of an intelligent voice recognition chat bot. The paper presents a technology demonstrator to verify a


Smart Bus ticket system using QR code in android app

Abstract: In this paper, we are proposing QR reader for bus ticket. Users can scan QR reader instead of ticket. In this app, after registration profile, we have to attach our bank details through in this app. Then whenever we are going on bus, we have to select from and to location. Then it will


Secure and Smart Parking System Based on Android Application

Objective:           Smart parking system is designed successfully and In order to provide the android Application and secure system .   Abstract: Nowadays the traffic problem was rabidly increasing urban areas. So we can find the solution for this problem. In this paper we proposed the one solution for reducing this Problem. So, in this


Implementation of Crime Recognition using Android Application

Abstract: Today we are living in the world where technology is growing very fast and where mobile technology is become an integral part of our life. This field is getting more popular day by day as before people need to use computers or laptops for processing their work fast but today our smartphones have same


  1. I rakesh kumar Assistant prof. Chandigarh Group of colleges Landran Email id
    & Santosh Kumar Assistant prof. Chandigarh Group of colleges Landran Email id are not received webinar certificates. Plz. send the certificates in the registered aforementioned email id .
    thanks a lot

    1. Dear Rakesh,

      We are uploading all the Webinar certificates on our portal for those who filled the attendance form. Kindly search on your registered email id for the updated events.If not updated, sure will update soon.

  2. on 27 august 2020, Sri Dharmasthala Manjunatheshwara College of Engineering and Technology college conduccted a webinar or introduction to machine learning. the certificate is not avaialble in linkn. Already recent 11october2020, broadccasting society of india conducted a webinar on 5G.Its also not aviallabe lon line

  3. I am very much happy to attend the Pantech e Learning webinars,but constraints of my duty in work field.

  4. It’s one of the best platform for learning…
    Thanks pantech E-learning for all your support ❤️.. love you always

  5. Looking forward this project learning session. Attended lot of events with Pantech, the way of sharing knowledge is good…thanks to team Pantech eLearning..

  6. It is a good plateform for beginers to get an idea regarding pantech e learning projects thanks a lot pantech by providing this they can easily get understand the project and also your team clarifying the doubts whatever we post thanks alot

  7. Pantech elearning is a good platform to excel the knowledge on current technologies.
    It delivers the insightfil trainings by different experts/Professionals.
    Trainings are appreciated 👍👍.

  8. Hey pantech, It’s been a nice experience. I learn a lot in this internship program. My mentor is very much helpful. He make me done all my assignment successfully. And this is the better way to learn the technology. I had a intern in machine learning.

    Once again than you very much.

  9. I am Very lucky to be in the part of one person in PANTECH SOLUTIONS Student Ambassador.Pantech Solution E-learning Trained me lot in lastest Technologies like Artificial intelligence, Internet of things, MACHINE LEARNING,Ect… Thank you Pantech Solution and Pantech E-learning.I will Support the PANTECH SOLUTIONS in all Aspects…. Thank you Pantech Solution.

  10. I have done internship in embedded systems it was very helpful. I was looking for some career oriented training the session were exactly like that. Very interesting

  11. I had done my intern with Pantech eLearning on artificial intelligence, really it’s a great experience. I learned a lot on algorithms, deep learning concepts and the tools like tensorflow and keras..Thanks to my trainer and the Pantech eLearning for this opportunity…

  12. Hi this is sangeetha…. Thanks for pantech E learning group…. Its very informative and very easy to learn all… My mentor be friendly with us and xlear all doubts un extraordinary manner… Thanks for this opportunity… Share me all the upcoming programs to me… Waiting to join with you guys again

  13. Thanks pantech eLearning and the mentor. I developed a project under the guidance of my mentor. He guided me thought the project and make me completed successfully.

    Thanks pantech eLearning. I highly recommend pantech eLearning internship program.

  14. I learn a lot in this internship program. My mentor is very much helpful. He make me done all my assignment successfully. And this is the better way to learn the technology.I had a intern in POWER ELECTRONICS BY using MATLAB ..

  15. For College students those who are struggling from developing their own project …..join to this institute it will really help full……

  16. I am Very lucky to be in the part of one person in PANTECH SOLUTIONS.Pantech Solution E-learning Trained me IOT using raspberry pi and it was very helpful.great working with u. Thank you Pantech Solution and Pantech E-learning

  17. It was great experience and session was very informative and trending. I have done Iot using iot using arduino. Programme was helpful. I got to know new things . Thank pantech eLearning

  18. Thank you Pantech e Learning for having this wonderful session on Machine learning models and their applications for 15 days..I gained knowledge of using various Machine Learning applications..And the way of teaching with hands on was very helpful in understanding its usages in various fields..

  19. Overall session was so good sir thank you for your wonderful teaching and thank you for your effort to making knowledgeable in python learning

  20. This internship was really good , I was learned about some python modules and how their are used in Machine learning . It was really useful to me . I’m also learned about some Machine learning projects .

  21. The internship was really useful…learnt much more about machine learning and python modules…The hands on was really good and worked on it.

  22. This internship was very useful…I have learnt many things on python and machine learning..Thanks for valuable training

  23. Thank you Pantech e Learning for the usefull classes on Machine Learning..It was more understandable and helped in gaining more practical knowledge.

  24. Totally enjoyed and learned a lot in a comfortable environment. The style and the knowledge of the presenter is totally amazing.

  25. The three day WORKSHOP ON AUGMENTED REALITY & VIRTUAL REALITY is given brief about the tools that can be used in AR-VR like Unity, with good hands on demo, with more examples. Thanks for the organizers.

  26. This internship was really good!!! IT is more useful… But one thing is if this internship is offline it is easy to understand.. in online lack of disturbance, noise sounds and so on… Any how it’s session is really amazing

    We are learned about some machine learning projects….

    Thank you for giving this type of projects..

  27. The internship was good. It covered all the basics of robots, sensors, and programming. Although, it was good the pantech faced internet issues at their end, due to which 3 classes were canceled. Seeing the recorded session was much more pleasing than the online session.

  28. I am happy that i have invested my money on great internship, by doing this internship i learned many
    Things about robots ,the explanation was good,now i am capable of making my own robot.thanks to the staff of the internship

  29. Machine learning using python sessions was very useful for me. I learned more about python in the session. I gained a lot of practical knowledge.its very useful and improve our skills.Thank you very much for giving this oppurnity

  30. Internship on Robotics using Arduino was very helpful, it helped me gain loads of knowledge about the subject. The staff was very interactive with us and helped us overcome every issue we faced. Overall a very good internship

  31. How can i be a part of this project

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  32. Morning Session 1,2 is Very Useful,Very Informative and Interesting Session from Pantech E-learning and VELALAR COLLEGE OF ENGINEERING AND TECHNOLOGY. I am Waiting for Next two Sessions….😊🎊😎

  33. This sessions were very useful and it was very interesting too , it is in the way that everyone can understand easily, thank u so much for this wonderful opportunity ✨

  34. Good learning experience

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  35. Wonderful teaching concepts

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  36. Good.

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  37. Good

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  38. Good

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  39. It was so interesting learnt new things , mentor was so patient in explanation ,The sessions was intresting .

  40. The two days Sessions was informative and useful. The Workshop helps to install latest Modelsim Version, by ourselves and Simulate the Verilog Programs.
    Examples given for FSM makes us understand the concepts easily.

  41. I would like to thank pantech for providing me with this great learning experience. I got to learn many small things about IoT and ML and I would definitely implement the things I learnt here.

  42. Jishnu Sir it was a wonderful experience learning with you , you teached us with so much patience and your lectures were so good I’ve learned so many things from this session and jishnu sir thank you for giving us opportunity to learn from you

  43. The session on data science was put in articulated and simple manner so that non-specialist could grasp the concept well. Thank you Pantech for the amazing job.

  44. GOOD

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  45. GOOD

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  46. Good

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  47. Good

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  48. Good

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  49. Very good

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  50. Excellent

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  51. Nice lecture

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  52. Basic learners to use full this session….

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  53. Good learning experience

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  54. Good

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  55. it good

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  56. To good and easy

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  57. Good

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  58. Amazing

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  59. I attended the One Day Crash Course on AI using Python on 09-04-2021 in Pantech solutions but till now I did not receive any certificates for this course. so I kindly request you to issue me a certificate for the One Day Crash Course on AI using Python.
    I will be more happy if you issue me the certificate as soon as possible.
    Thank you

  60. Session was good. If demonstration on hardware and software simultaneously would have been managed well then it would be easier to understand.

  61. The sessions by Mr.Jishnu Sir were informative. The practical implementations of the concepts was illustrated in a simple and reproducible manner. The duration of the program was effectively utilized by the instructor in delivering most of the required concepts.

  62. Very good experience both in theortical and pratical way.the conduction of task helps us to increase our knowledge about the coding.

  63. The session provide by jishnu sir is very informative. Sharing all session through drive is useful for future reference.practical session is good.

  64. It was really a informative session. This is the one organization which gave a intership with good standard and knowledge at affordable fee. I am glad to be a part of this.. Looking forward for more!!

  65. The session on Deep Learning was engaging and learnt many new things. Thanks to the trainer!

  66. This 15 days of training gone really well,gaineed more knowledge encouraged us to learn python.Thanks to the entire team for this opportunity

  67. The sessions was very interactive and informative, gained some practical skills and i also thank jishnu sir for guiding us throughout the internship. (IOT with ML internship)

  68. The session was interesting and gain practical knowledge…the way of teaching and answering the questions was excellent.

  69. It was so good lecture and got many information from it .in very easy way got all the information…hope for more further lecture or event … thank you.

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