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358 articles for “Interactive Learning”
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Evaluation of Machine Learning Classifiers for Sentiment Analysis
Abstract: Sentiment in social media refers to users’ emotions and opinions through their posts and interactions. Sentiment analysis (SA) refers to relating and classifying the sentiments expressed as engagement and interactions between users. When analyzed, tweets frequently produce a large source of clustered data. These data help determine people’s opinions about a variety of motifs. Thus, this study presents an Automated Machine Learning (ML) Sentiment Analysis Model to detect media sentiment. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 141–154 Read article
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A Review on Predicting Wear and Friction of PTFE Composites - Fillers to Machine Learning Models
Abstract: Polytetrafluoroethylene (PTFE) composites, a self-lubricating material with low friction, became an indispensable material in engineering applications where load carrying capacity and wear are crucial. The pure PTFE has poor mechanical strength and wear resistance which can be enhanced by the addition of fillers in appropriate volume fraction. The wear performance is dependent on various factors such as fillers, operating parameters, environmental conditions as well as manufacturing attributes. This makes the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 114–128 Read article
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Virtual Reality Based Decentralized Educational Art Gallery
Abstract: One can experience the forefront of education by engaging with our virtual reality (VR) powered decentralized educational art gallery. This groundbreaking platform seamlessly integrates VR technology with decentralized networks, crafting an unmatched learning journey. Curated collections of art from diverse cultures and eras can be explored, accompanied by interactive educational modules that deepen one’s understanding of each piece. One can engage with fellow learners in real time, fostering collaboration and …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 2, 2024 · pp. 31–37 Read article
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Artificial Intelligence in Drug Repurposing: A Short Impact Assessment
Abstract: Artificial intelligence (AI) in pharmaceutical repurposing has become a game-changing tool that opens new avenues for the application of new drugs that have already been approved. Traditional drug discovery is a lengthy and expensive process, whereas AI can rapidly analyze vast datasets of biological, chemical, and clinical information to predict drug-disease interactions. AI-driven techniques, such as machine learning, natural language processing, and deep learning, enable the identification of potential repurposing …
Published in Trends in Drug Delivery · Vol. 11, Issue 3, 2024 · pp. 42–45 Read article
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Optimizing Performance Characteristics, Thermal Stability, and Manufacturing Performance of Polymer Nanocomposites Using Artificial Intelligence
Abstract: Artificial intelligence (AI) has proven an efficient method to optimize the design and manufacture of polymer nanocomposites, allowing the proper prediction of the behavior of the materials and the results of the processing. This work proposes an AI-based framework to enhance the performance characteristics, thermal stability and manufacturing performance of advanced polymer nanocomposites. The input variables of the proposed framework are the material composition, the nanoparticle concentration, the particle size, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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A Review on Multimedia Classrooms
Abstract: AbstractOne of the methods for enhancing the understudies' scholarly needs and help them creating English dialect abilities, is giving interactive media amid the way toward educating and learning in the classroom. Technological classroom gives the understudies opportunities to associate with assorted writings that give them a strong foundation in the assignments and substance of standard school courses. The present written work plans to discover a few points of interest of …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 3, Issue 3, 2016 · pp. 9–13 Read article
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A Shift in Learning and Intelligence Acquisition: Technologies and Advancements
Abstract: Human intelligence replication by non-living things or objects has created new dimensions of research. With innovations in Artificial intelligence now happening at breathtaking pace, machines are not only learning but thinking for themselves.Artificial intelligence refers to intelligence of a machine and machine learning is one of its subfields. Machine learning involves training, in which large amount of data is fed into algorithms which gives machines the ability to learn how …
Published in Recent Trends in Programming languages · Vol. 5, Issue 3, 2018 · pp. 21–28 Read article
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Implement Explainable Machine Learning to Improve Conductivity in Polymer-CNT Nanocomposites: Supporting Adaptive, Flexible, and Long-Lasting IoT Wrap-Around Electronics Applications
Abstract: The rapid growth of Internet of Things (IoT) technologies requires electronic components that are adaptable, lightweight, and durable, and that can continue to function well in diverse contexts and circumstances. Polymer–carbon nanotube (CNT) nanocomposites have become interesting choices for these kinds of uses because they are more flexible, conduct electricity better, and can be made to fit specific needs. However, improving conductivity in these heterogeneous systems remains a major challenge …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 238–254 Read article
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EMOTION RECOGNITION FROM ELECTROENCEPHALOGRAM SIGNAL AND EYE MOVEMENT BASED ON DEEP LEARNING
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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E-learning: A Paradigm Shift from Traditional in-Campus Learning to Multimedia Based Distance Learning in India Post COVID-19
Abstract: With the onset of novel corona virus pandemic in early 2020, the major hurdle faced by the educational institutions was to provide continuous and uninterrupted tutoring in the absence of physical availability of the students. Initially, the institutions felt tremendous pressure to provide education to the large amount of students due to the temporary closure of schools, colleges, universities, coaching classes etc. Thus, to overcome the difficulty of physical absence …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 9, Issue 1, 2022 · pp. 1–5 Read article
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Bi-Lateral Interactive Device for Deaf
Abstract: AbstractThis paper proposes an assisting system which will help hearing impaired people to communicate with normal people so that world could understand them better. This basically converts Indian sign language to speech and then the corresponding speech from the normal person will be translated into sign language, by this way our system eliminates the need of a third party and reduces the discomfort in the interactions. Gestures from deaf serve …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 6, Issue 2, 2019 · pp. 1–4 Read article
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Designing LMS for Different Universities
Abstract: A range of universities round the sector have applied the Learning Management System (LMS) to help college students and teachers interact outdoor of the conventional classroom. It's a digitally-enabled environment that manages consumer gaining knowledge of interventions and distributes gaining knowledge of content material and assets to students. Because the LMS device has already been set up and professors are obligated to use it in their daily lectures, selecting students …
Published in Current Trends in Information Technology · Vol. 11, Issue 3, 2021 · pp. 24–28 Read article
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Sustainable Learning and Education
Abstract: Sustainable learning asnd education are approaches to learning that prioritize environmental stewardship, social equity, and economic prosperity. A comprehensive approach to education, sustainable learning and education acknowledges the interdependence of social, economic, and environmental systems. Rather than treating these aspects in isolation, sustainable education integrates them to foster a comprehensive understanding of sustainability issues. Sustainable education places a strong emphasis on systems thinking, which entails comprehending the feedback loops and …
Published in International Journal of Sustainability · Vol. 1, Issue 2, 2024 · pp. 15–19 Read article
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Develop Institutional Chatbot Using Deep Neural Networks and NLTK
Abstract: Chatbots are intelligent software that can communicate and perform actions like those of a customer service representative. Chatbots are widely used for customer interaction and marketing on social networking and e-commerce sites. AI-based chatbots have the core ability to learn from any question based on initial training on a predefined dataset. A web-based platform provides a broad intelligent foundation for simulating human problem solving. The technology used here is based …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 3, 2023 · pp. 1–7 Read article
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Genetic Variability and Statistical Methods: Key Insights for Computational Genetics Research
Abstract: Genetic variability, defined as the differences in DNA sequences among individuals, serves as the foundation of evolutionary biology and plays a pivotal role in species’ adaptability, resilience, and overall survival. Advances in genomic technologies, particularly high-throughput sequencing, have enabled unprecedented exploration of genetic diversity, fostering the growth of computational genetics. This interdisciplinary field combines statistical methods and computational tools to analyze genetic data, identify patterns, and link phenotypes to genotypes. …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 19–23 Read article
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An Overview of Artificially Generated Neural Networks Inside the Brain’s Structure in an Alzheimer’s Disease Patient
Abstract: Alzheimer’s disease produces significant neuronal loss, while the precise mechanisms and timing are yet unknown. Other types of cell death, such necroptosis, parthanatosis, ferroptosis, and cuproptosis, need further investigation. Based on brain images of people with mild cognitive impairment, this study assesses artificial neural networks (ANNs) used to diagnose and predict Alzheimer’s disease (AD). This research was conducted considering growing recognition among researchers and medical professionals regarding the importance of …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 2, 2025 Read article
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Virtual Job Assistance
Abstract: In today’s competitive job market, interviews are a critical gateway to employment, but many candidates struggle with effective preparation. Traditional methods, such as mock interviews with friends or career counselors, often fail to provide detailed feedback or replicate real-world interview dynamics. The “AI-Powered Virtual Job Interview Simulator” addresses these challenges by leveraging advanced technologies, such as Natural Language Processing (NLP), to create a realistic and engaging environment for interview practice. …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 1–11 Read article
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Ethical Risks of Generative AI in Education: Challenges, Implications, and a Responsible Use Framework
Abstract: The rapid diffusion of generative artificial intelligence (AI) technologies in educational settings is reshaping how teaching, learning, and assessment are designed and enacted. Large language models and related generative systems offer powerful capabilities for content creation, personalized feedback, and instructional support, promising gains in efficiency and learner engagement. However, their growing use also introduces a complex set of ethical risks that challenge foundational educational values such as integrity, equity, transparency, …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 23–30 Read article
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Enhancing Customer Engagement with AI-Driven Movie Recommenders: Integrating Neural Collaborative Filtering, Sentiment Analysis, and Conversational Agents
Abstract: In today’s competitive digital landscape, user engagement is a critical factor for the success of entertainment platforms, especially those offering movie recommendations. This study introduces a comprehensive AI-driven framework designed to enhance customer interaction, satisfaction, and loyalty through the intelligent integration of multiple deep learning models. The system combines three core components: Neural Collaborative Filtering (NCF) for generating personalized movie recommendations based on user behavior and preferences, Long Short-Term Memory …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 45–54 Read article
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Quiz Application: A Review
Abstract: Educational tools are evolving in the digital age to cater to the needs of diverse learners. Among these tools, quiz applications have emerged as a popular and effective method for enhancing learning engagement. This study explores the significance of quiz applications in education, focusing on their impact on student motivation, knowledge retention, and overall learning outcomes. Quiz applications offer several benefits over traditional learning methods. To begin with, they provide …
Published in Recent Trends in Programming languages · Vol. 12, Issue 1, 2025 · pp. 16–25 Read article