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    Chapter and Conference Paper

    Security Requirement Analysis of Blockchain-Based E-Voting Systems

    In democratic countries such as India, voting is a fundamental right given to citizens of their countries. Citizens need to physically present and cast their vote in ballot paper-based voting systems. Most of ...

    Sanil S. Gandhi, Arvind W. Kiwelekar in Intelligent Communication Technologies and… (2023)

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    Chapter and Conference Paper

    Comparative Analysis of Wind Power Forecasting Using LSTM, BiLSTM, and GRU

    Artificial intelligence (AI) technology is rapidly evolving, and its applications in big data analytics and practices are becoming increasingly diverse. Deep learning-based time series prediction, such as LSTM...

    Manisha Galphade, V. B. Nikam, Biplab Banerjee in Evolution in Computational Intelligence (2023)

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    Chapter and Conference Paper

    A Small-Scale Ontology to Represent Knowledge About Question Items

    Generation of quizzes or examination papers by using a question bank is an important activity supported by many e-learning platforms. This chapter presents an ontology to represent the knowledge associated wit...

    Yogesh N. Patil, Sanil S. Gandhi in Smart Trends in Computing and Communicatio… (2023)

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    Chapter and Conference Paper

    Effective Online Tools for Teaching Java Programming Course on an Online Platform

    is the era of online teaching and learning. Specifically for programming courses, it is necessary to apply any powerful online tool that may help students learn on an online platform. Hence, in this pap...

    Sapana S. Barphe, Varsha T. Lokare, Sanjay R. Sutar in Intelligent Sustainable Systems (2022)

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    Chapter and Conference Paper

    To Predict Employability of Student by Using Artificial Neural Network

    In the higher education institute or universities employability of the student is the key factor that decides the quality of the education. One of the outcomes of education acquired is employability according ...

    Manjushree D. Laddha, Arvind W. Kiwelekar, Laxman D. Netak in ICDSMLA 2020 (2022)

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    Chapter and Conference Paper

    Predicting Expected Time of Arrival of Shipments Through Multiple Linear Regression

    Handling uncertainty in information is one of the biggest challenges faced by logistics management and freight forwarding agencies. The uncertainty may be in user needs, availability of raw materials, Estimate...

    Prasad C. Mahajan, Arvind W. Kiwelekar, Laxman D. Netak, Akshay B. Ghodake in ICDSMLA 2020 (2022)

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    Chapter and Conference Paper

    Map** and Change Detection of Mangroves Using Remote Sensing and Google Earth Engine: A Case Study

    In this case study, we describe the map** and change detection in the mangrove coverage of Raigad District of Maharashtra, India, using remotely sensed images. The mangrove maps are prepared using the Landsa...

    Geetanjali S. Mahamunkar, Arvind W. Kiwelekar in ICT Systems and Sustainability (2022)

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    Chapter and Conference Paper

    Feature Extraction for Automatic Grading of Students’ Presentations

    This paper presents an automated approach to assess the students’ presentations. The approach aims to evaluate students’ knowledge about various functionalities provided by presentation software. The method us...

    Jyoti G. Borade, Arvind W. Kiwelekar, Laxman D. Netak in ICT Systems and Sustainability (2022)

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    Chapter

    Exemplar Use-Cases for Training Teachers on Learning Analytics

    Learning Analytics (LA) provides a rich set of methods, techniques, and tools to analyze learners’ data. However, educators without a background in data analysis and statistical methods experience difficulty c...

    Arvind W. Kiwelekar, Manjushree D. Laddha in Handbook on Intelligent Techniques in the … (2022)

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    Chapter

    Personalization of News for a Logistics Organisation by Finding Relevancy Using NLP

    Artificial Intelligence-driven applications have already stepped in to streamline logistics on a global scale. News impact and relevancy helps in taking the right decision at the right time in the logistics in...

    Rachit Garg, Arvind W Kiwelekar in Modern Approaches in Machine Learning and … (2021)

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    Chapter

    Understanding Deep Learning: Case Study Based Approach

    Deep learning is a much focused domain of artificial neural networks. Deep learning algorithms try to learn massive amounts of unlabelled data and make a better analysis. With deep learning, all layers learn t...

    Manisha Galphade, Nilkamal More, V. B. Nikam in Deep Learning and Edge Computing Solutions… (2021)

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    Chapter

    A Decentralized and Autonomous Model to Administer University Examinations

    Administering standardized examinations is a challenging task, especially for those universities for which colleges affiliated to it are geographically distributed over a wide area. Some of the challenges incl...

    Yogesh N. Patil, Arvind W. Kiwelekar in Blockchain Technology for IoT Applications (2021)

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    Chapter

    Potential Use-Cases of Natural Language Processing for a Logistics Organization

    All industries like Healthcare and Medicine, Education, Marketing, e-commerce are using AI and providing a technical advantage to these industries. Logistics is such an industry where AI has started showing it...

    Rachit Garg, Arvind W. Kiwelekar in Modern Approaches in Machine Learning and … (2021)

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    Chapter

    An Architectural Perspective of Learning Analytics

    Tools for learning analytics are becoming essential features of Learning Management Systems (LMS) and various course delivery platforms. These tools collect data from online learning platforms, analyze the col...

    Arvind W. Kiwelekar, Manjushree D. Laddha, Laxman D. Netak in Machine Learning Paradigms (2020)

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    Chapter

    A Product Line Architecture for Mobile Patient Monitoring System

    The term mobile health (mHealth) means to adopt Information and Communication Technology (ICT) especially mobile hand held devices to provide health-care and delivery services[1]. The ICT is mainly adopted wit...

    Gaurav Paliwal, Arvind W. Kiwelekar in Mobile Health (2015)