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217 articles for “Affective Computing”
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Facial Emotion Detection and Its Applications
Abstract: Facial emotion detection (FED) is an interdisciplinary field that integrates artificial intelligence, computer vision, and machine learning to recognize and interpret human emotions based on facial expressions. The development of FED systems has been propelled by advancements in deep learning, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs), which enhance recognition accuracy. Feature extraction techniques, including geometric and appearance-based methods, play a crucial role in classifying emotional states. …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 8–12 Read article
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MemorialBot: An AI-Powered Voice Cloning and Conversational System for Digital Legacy Preservation
Abstract: MemorialBot is a kind of AI technology that allows people, who have lost a loved one, to continue a conversation with the help of their voice. The dialogue will be with a simulated image of the deceased individual based on an amalgamation of audio recording, correspondence, and common life history. The technical design allows voice recognition technology, large language models to generate responses based on personalized knowledge bases, neural text-to-speech …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 2, 2026 Read article
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Mood Mate: A Solid-State Edge-AI System for Real-Time Facial Emotion Recognition
Abstract: Recent progress in solid-state electronics and embedded vision systems has enabled real-time emotion-aware applications at the edge. This paper presents MoodMate, a solid-state edge-AI framework for real-time facial emotion recognition using camera-based sensing and embedded processing. The proposed system integrates a solid-state image sensor with an AI- driven emotion classification pipeline optimized for low-latency and resource-constrained environments. Intelligent, emotion-aware apps can now be deployed right at the network edge thanks …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 24–30 Read article
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An Unsupervised Common Sense-based Learning Framework for Emotion Detection and Classification in Textual Social Data
Abstract: AbstractEmotions are inherent to human behavior and generally expressed in response to the stimuli from the external environment or some internal processes. With the widespread use of online social platforms, people often express themselves using tweets, blogs and posts which generally include affective text. The topic of emotion detection and recognition has been widely studied in computational science and in fact a separate area “Affective Computing” is dedicated to its …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 3, 2017 · pp. 44–51 Read article
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Data Representation and Abstraction in Computer Systems: An Interactive Study
Abstract: Data abstraction simplifies data, while data representation stores or encodes it. Data abstraction in programming involves constructing a data type that hides data representation. This lets consumers concentrate on the data’s primary features rather than its implementation. Data abstraction is common in object-oriented programming and database administration. Computers store data in binary format. The smallest binary unit is a bit, or “binary digit”. Bytes typically have eight bits. Data abstraction …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 22–31 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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HCI: A Systematic Review of Trends, Challenges, and Future Directions
Abstract: The field of human-computer interaction (HCI), which connects people and technology, is becoming increasingly important and developing quickly. By emphasizing intuitive interaction, user-focused design, and overall system usability, it contributes to the development of more intelligent, responsive, and human-centered systems. This thorough analysis explores the many uses of HCI, such as mobile and multi-screen platforms that demand smooth, cross-device interactions and immersive settings like the Metaverse, where users interact within …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 10–16 Read article
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Emotions and Artificial Intelligence in Finance: Exploring the Relationship
Abstract: The integration of Artificial Intelligence (AI) into financial systems has profoundly transformed the industry, providing unprecedented efficiency, accuracy, and speed in decision-making processes. These technological advancements have streamlined operations, reduced human errors, and enabled more informed decision-making based on vast datasets analyzed in real-time. However, the role of emotions in finance remains a critical factor that cannot be ignored. Human emotions, such as fear, greed, and optimism, frequently drive market …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 1, 2025 · pp. 11–17 Read article
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Social Emotion Prediction: A Review of Sentiment Analysis Techniques Used in Social Networks
Abstract: Social media has become the most substantial resource of information due to its rapid growth from last one and half decade. Web users share their ideas, thoughts, experiences, and opinions about different entities and events through social networks, blogging platforms, forums, and reviews. Social media tends to attract more and more researchers to analyze this tremendous amount of unstructured data for creating new insights. This data is used for sentiment …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 26–35 Read article
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Emotion Evaluation from Text: A Survey
Abstract: Information extraction is the process of retrieving structured information from unstructured or semi-structured text. It has a wide range of applications in domains such as biomedical literature mining, business intelligence, sentiment analysis, and emotion analysis. This survey describes recent works in the field of emotion detection for text data, being a part of the broader area of affective computing. It has been inspired by the well-known fact that, despite there …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 8–20 Read article
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Cloud Computing in Library and Information Science
Abstract: IT sector have affected on developing countries. India have also affected by Information technology. Internet, networking Android system, advance software and Cloud Computing these new inventions affected on human being day to day life style. Higher education is basic need of our country and information science also affected on this area. Today we will see that every single second invented new subject and new technology rapidly. Information and knowledge has …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 2, 2014 · pp. 14–19 Read article
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Unveiling Cloud Computing’s Security Challenges.
Abstract: As organizations increasingly embrace cloud computing, concerns surrounding security threats in the environment have become more prevalent. This white paper alms to address these concerns by offering a comprehensive analysis of the various security threats that can affect cloud computing. Our research delves into the intricacies of virtualized infrastructure, examining potential issues and vulnerabilities that arise in this context. We investigate the challenges associated with securing the software platform, including …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 1, 2023 · pp. 37–44 Read article
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Predicting Multiple Diseases Using Machine Learning: A Data-Driven Approach
Abstract: The increasing prevalence of chronic and life-threatening diseases highlights the need for innovative healthcare solutions that enable early detection and proactive management. The Multiple Disease Prediction Platform is a web-based system utilizing machine learning (ML) and deep learning (DL) algorithms to analyze user-inputted health data, generating real-time predictions of potential health risks. By leveraging Python’s Streamlit library, the platform provides an interactive and accessible diagnostic experience, eliminating the need for …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 16–35 Read article
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Power Consumption Reduction using Microarchitecture Techniques for Modern Multicore Microprocessors
Abstract: The development in the semiconductor technology is helping the designer to make the systems as compact as possible. We are moving towards 14 nm fabrication technology. The technology scaling is going much down but it is also the reason to bring several crucial issues on the surface which is very difficult to handle. The various advance processor architecture design concepts helped in increasing speed by keeping the power consumption under …
Published in Current Trends in Information Technology · Vol. 3, Issue 3, 2013 · pp. 16–20 Read article
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A Five-Layer Architectural Framework for Sustainable and Scalable AI Systems
Abstract: Artificial Intelligence (AI) is not only about algorithms. AI works like a full “stack” of layers, from electricity to real-world user applications. In this paper, we explain a simple and student-friendly Five- Layer Architecture of AI: (1) Energy, (2) Chips, (3) Infrastructure, (4) Models, and (5) Applications. Each layer supports the next layer, like a cake with multiple layers. If any layer is weak, AI systems become slow, costly, or …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Use of library Internet Facilities
Abstract: Libraries have transformed into vibrant centers of digital connectivity and knowledge dissemination in the ever-evolving information technology landscape. Fundamental to this transformation is the unavoidable mix of the Web into library administrations and assets. A new age of accessibility, empowerment, and creativity that is unrestricted by the physical limitations of physical buildings has begun with the usage of the Internet in libraries. Supporters presently have the world readily available, with …
Published in Journal of Advancements in Library Sciences · Vol. 11, Issue 3, 2024 · pp. 33–40 Read article
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Structural Load Evaluation of a Low-Rise Residential Building (G+4) Using STAAD.Pro: A Review
Abstract: The structural analysis and design of multi-story residential buildings have become more complex because cities continue to grow while safety requirements become more demanding and building codes establish stricter requirements. The traditional methods of structural analysis worked through manual execution which required extended periods to complete and suffered from computational errors that primarily affected indeterminate structures and lateral loading conditions. This review paper providesa detailed evaluation of previous works related …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 40–45 Read article
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Attitude towards Computerized Nursing Care Plan (CNCP) among Nursing Students
Abstract: Integration of computer technology in health care industries requires objective and information on how nurses perceive the use of computers and the factors affecting the attitudes towards technology. Use of nursing care plan is a neglected part under nursing practice due to multiple reasons. A descriptive study was conducted with the aim to assess the attitude of nursing students towards the computerized nursing care plan in the selected nursing institution …
Published in Research and Reviews: A Journal of Health Professions · Vol. 2, Issue 2, 2012 · pp. 1–7 Read article
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Survey Report on Digital India Program
Abstract: On July 1st, 2015, Prime Minister Narendra Modi unveiled the Digital India campaign, an ambitious endeavour of the Indian government that aims to give citizens transparent, participative, and responsive governance. Advanced India envisions general computerized proficiency and receptiveness for every single computerized asset for residents by guaranteeing that the assets and administrations are open in provincial dialects and giving computerized platform to participatory administration guaranteeing accommodation, such as making all …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 9, Issue 2, 2022 · pp. 12–17 Read article
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DETECTION OF LUNG CANCER USING SOFT COMPUTING TECHNIQUES
Abstract: Cancer is a generic term that can affect any part of the body. Most cancers, 90%-95%, are because by environmental and lifestyle variables which cause genetic mutations. Inherited genetics account for 5% to 10% of the total. Early identification of lung cancer has improved patient survival and has been a vital study topic. It starts within the cells covering the bronchi and lung parts like bronchioles or alveoli. Due to …
Published in Research and Reviews : A Journal of Immunology · Vol. 13, Issue 2, 2023 · pp. 1–12 Read article