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244 articles for “Explainability”
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Ethical and Responsible AI: A Comprehensive Review of Principles, Methods, and Tools
Abstract: Quick development of artificial intelligence (AI) has revolutionized a number of industries, including healthcare, banking, and government, by providing creative answers to challenging issues. However, there are serious ethical issues with growing integration of AI into crucial decision-making processes, including prejudice, a lack of transparency, abuses of data privacy, and accountability gaps. A systematic strategy that incorporates technical solutions, legal frameworks, and ethical standards is needed to address these issues. …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 1, 2026 · pp. 23–34 Read article
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AI-Based Early Diagnosis & Prevention of Diabetes
Abstract: The worldwide burden of Diabetes Mellitus, especially Type 2 diabetes (T2D) has escalated to a critical level. Early detection of diabetes is essential to reduce long‑term complications and healthcare costs. This study explores the use of artificial intelligence (AI) techniques to improve the early diagnosis and prevention of diabetes. We developed an AI model using the Random Forest algorithm, the model predicts diabetes risk based on clinical and lifestyle variables …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Artificial Intelligence-Assisted Multi-Objective Optimization of Agricultural Biomass-Reinforced Polymer Composites
Abstract: Agricultural biomass can reduce the environmental burden of polymer composites, yet its heterogeneous structure creates competing effects on strength, moisture resistance, density, and process ability. This study developed an artificial intelligence-assisted framework for balanced composite formulation. Experimental data of agricultural biomass reinforced polymer composites were gathered, harmonized and validated using leakage controlled validation. The mechanical and physical properties were predicted by artificial neural networks and conventional regression models. Explainable analysis …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Real-Time Deepfake Detection in Video Conferencing Systems
Abstract: Deepfake technology presents non-exemplary threats to video conferencing platforms, enabling advanced fraud, impression and misinformation campaigns worth billions annually. Current detection methods either exhibit latencies exceeding 100ms or rely on server-side cloud processing, raising privacy concerns. This paper presents DeepConfGuard, a lightweight hybrid architecture combining MobileNetV2 for spatial feature extraction, a bidirectional LSTM with attention for temporal modelling, and EfficientNetV2 for refinement. It reaches 94.8% accuracy with 85 ms end‑to‑end …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
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The Economic Importance of Art and Craft: Men as Artisans at Ranchi Cluster in Jharkhand State
Abstract: There is an inseparable relationship between Art, culture and civilization in India. As man Gradually developed, art also kept on developing along with his civilization. Be it the civilization of any country. Its emergence has been the result of human imagination. Art has always had a significant historical significance, transcended cultural borders and acted as a monument to humanity's inventiveness and imagination. Artists have risen throughout history as guardians of …
Published in Recent Trends in Social Studies · Vol. 1, Issue 2, 2024 · pp. 47–56 Read article
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AI-Driven Exam Evaluation Systems: Challenges, Innovations, and Future Directions
Abstract: A proposed AI system is used to grade exams automatically. It addresses inefficiencies in human assessment. A GPT model trained on graded replies is used for evaluation, and TrOCR is used for precise handwritten text recognition. Efficiency and less bias are provided by this method, although there are still issues. More work is needed to assess open-ended questions and make sure they are understandable. To automate many aspects of exam …
Published in International Journal of Electronics Automation · Vol. 2, Issue 2, 2024 · pp. 7–13 Read article
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Depression Detection using Machine Learning: A Comprehensive Review
Abstract: Depression is a leading mental health disorder worldwide, often underdiagnosed due to subjective assessment methods. The increasing availability of digital behavioral data and the advancement in machine learning (ML) have opened new avenues for automated depression detection. This review presents a comprehensive overview of recent developments in ML- based approaches for detecting depression. It explores data sources, feature extraction techniques, learning algorithms, evaluation methods, and highlights current challenges and future …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 Read article
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Human-in-the-Loop AI in HR Decision-Making: Insights from Big 4 AI Governance Reports
Abstract: The integration of artificial intelligence (AI) in human resource (HR) decision-making has transformed recruitment, performance evaluations, and talent management. However, biases embedded in AI-driven HR systems present significant ethical and operational challenges. Human-in-the-Loop (HITL) AI offers a hybrid approach that combines AI efficiency with human oversight to enhance fairness and accountability. This paper systematically analyses HITL AI in HR decision-making using qualitative analysis of AI governance reports from Big 4 …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 43–50 Read article
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Navigating the Dual Edge: A Comprehensive Technical Survey of Security, Privacy, and Countermeasures in the Era of Artificial Intelligence
Abstract: Artificial Intelligence (AI) is seamlessly weaved into vital sectors such as self-driving cars, high-speed trading systems, and defense strategies, it has triggered a counterintuitive development in advanced cyber-attacks. This survey paper attempts to perform an in-depth technical analysis on “AI Attack Surface.” There are threats across three main vectors. Data Integrity Attacks focuses specifically examining ‘Clean Label’ poisoning and backdoor injection. Model Confidentiality Breaches is discussing the mathematics behind Model …
Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 1, 2026 Read article
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Collaborative Robotics and Smart Automation: Enhancing Human–Robot Synergy in Industry 5.0
Abstract: Industry 5.0 marks a paradigm shift from efficiency-centric automation to a human-centred, sustainable, and collaborative production environment . In this context, collaborative robots, commonly referred to as cobots, play a central role by enabling direct and safe interaction between humans and machines within shared workspaces. These systems are designed to support human operators by undertaking repetitive, precision-intensive, and physically demanding tasks, thereby allowing humans to focus on supervisory control, problem-solving, …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 22–29 Read article
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Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Charting the Path Forward: An In-Depth Analysis of Breakthroughs and Hurdles in Artificial Intelligence
Abstract: Recent years have witnessed tremendous progress in artificial intelligence (AI), fueled by exponential increases in processing power and data accessibility. These developments have made it possible for AI to be widely used in a variety of industries, such as healthcare, finance, autonomous driving, and more. Significant difficulties are presented by the "black-box" nature of many AI systems, which lack transparency and the capacity to explain. By encouraging algorithms that can …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 13–23 Read article
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Heterosis in Plants
Abstract: It refers to hybrid vigor or heterosis; herein, the offspring expressed better traits than one or both parent lines. This most often manifests in crop breeding as increased yield in F1 hybrids compared with their parents. Developing high-yielding hybrid cultivars across a wider range of crops represents an important strategy for addressing future food security. However, conventional hybrid breeding approaches are fraught with significant challenges in many self-pollinating crops, such …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 2, 2025 · pp. 21–31 Read article
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COVID-19: Nija or Agantuj Roga, Ayurvedic Perspective
Abstract: which is explained under name Janapadodhwamsa or Maraka, It is explained in detail as an independent chapter in various classical texts. As per description Ayurvedic literature described their mechanism of Aetiology (Nidana), various factors affecting severity and actions complicating illnesses along with their management and preventive method. In this article,An attempt is made to describe it as per our classical science, which assert the superiority of host susceptibility (Nija) over …
Published in Research and Reviews: A Journal of Health Professions Read article
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Solution to Space Debris: IDRSS
Abstract: Debris has always been a matter of great concern in the field of space sciences. All the junk that can also be referred as the remains of the space projects that may include the rockets, satellites and much more is known as debris. This junk revolves in the space after getting detached from their host bodies and hence pose a hazardous threat for the possible space missions in the future …
Published in Journal of Materials & Metallurgical Engineering Read article
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Research on the Field of Social Robotics and HRI
Abstract: One of the most fascinating trends in recent technology is “Social Robots”, born out of human intelligence. Soft Robots will soon become a vital organ of Human civilization. Social robots are robots that are designed in such a way that they can interact with other living organisms. The detailed study of interactions between a Social robotic system and humans is crucial in developing this technology. With the progress in this …
Published in Trends in Electrical Engineering Read article
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Study about Important on why the Phenomenon of Light Propagation in Microstructure on Anisotropy is Important
Abstract: Here we want to explain the phenomenon of light propagation in a subtle structure the information of which is shown here. So here we investigated the phenomenon dependence of light diffusion in human dentin on microstructure. The main scatter tubes are found in the dentin, which can be estimated to be shaped like long cylinders. So here we calculated the scattering of electromagnetic waves through an infinitely long cylinder and …
Published in Research & Reviews : Journal of Physics Read article
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Seismic Analysis of Alternate Outrigger System
Abstract: In regions characterized the concept of construction sequence analysis, explain that this method involves analyzing a structure's behavior over time, considering the chronological order of construction stages. Introduce the crucial aspects of time-dependent effects, specifically creep and shrinkage, explain that these factors cause deformations in concrete over time and can significantly influence the structural behavior of buildings. In this study deals with non-linear construction stage analysis of G+14 structure as …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 1, 2024 · pp. 16–25 Read article
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Spirituality-Based Psychotherapies in Relation to Social Media Addiction: A Review
Abstract: Social media addiction has become a pressing concern, characterized by compulsive usage that significantly impacts mental health. In the digital age, where the boundaries between the virtual and the real have blurred, social networking sites (SNS) have emerged as pivotal platforms that shape the lives of young people. Most people's life now revolve around social networking sites, particularly those of teens. Excessive engagement with social media can have adverse effects …
Published in International Journal of Behavioral Sciences · Vol. 1, Issue 2, 2024 · pp. 39–47 Read article
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Eu3+/Gd3+ doubly doped ions in SrCO3-Al2O3-B2O3-SiO2 glasses for optical and White light applications
Abstract: The present work deals with the optical analysis of SrCO3-Al2O3-B2O3-SiO2 glass materials doubly doped with Eu3+/Gd3+ ion were prepared by melt quenching technique. These are studied by XRD, physical properties, FITIR, optical absorption and luminescence spectroscopy. The XRD measurements are conducted to verify the amorphous form of prepared material and structural modifications can be explained by the FTIR spectra. The thermal stability of the glass matrix is measured by the …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 2, 2024 Read article