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Article
A Generative AI-Based Assistant to Evaluate Short and Long Answer Questions
Assessment of long and short answers is a tedious task. The evaluation procedure is usually subjective, resulting in inaccuracies and substantial grading discrepancies. Generative AI-based tools have the poten...
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Article
Open AccessTraining software architects suiting software industry needs: A literature review
The ability to define, evaluate, and implement software architectures is a fundamental skill for software engineers. However, teaching software architecture can be challenging as it requires students to be inv...
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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 ...
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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...
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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...
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Chapter and Conference Paper
Deep Convolutional Neural Network Approach for Classification of Poems
In this paper, we proposed an automatic convolutional neural network (CNN)-based method to classify poems written in Marathi, one of the popular Indian languages. Using this classification, a person unaware of...
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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...
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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 ...
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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...
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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...
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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...
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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...
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Chapter and Conference Paper
A Two-Systems Perspective for Computational Thinking
Computational Thinking (CT) has emerged as one of the vital thinking skills in recent times, especially for Science, Technology, Engineering and Management (STEM) graduates. Educators are in search of underlyi...
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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...
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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...
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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...
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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...
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Chapter
Blockchain-Based Security Services for Fog Computing
Fog computing is a paradigm for distributed computing that enables sharing of resources such as computing, storage and network services. Unlike cloud computing, fog computing platforms primarily support non-funct...
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Chapter
Deep Learning Techniques for Geospatial Data Analysis
Consumer electronic devices such as mobile handsets, goods tagged with RFID labels, location and position sensors are continuously generating a vast amount of location enriched data called geospatial data. Con...
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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...