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541 articles for “AI limitation”
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Advancing Asthma Management: The Synergy of Systems Biology, Artificial Intelligence, and Next-Generation Therapeutics
Abstract: Asthma is an inflammatory disorder of the respiratory tract that is chronic and heterogeneous in nature and has various effects on millions of people. Being a chronic inflammatory disease, asthma remains incurable and the major conventional treatments offer limited success due to the mask nature of its pathophysiology. Systems biology/(AI), and next-generation has greatly enhanced knowledge and the management of asthma. The approaches based on gene, transcript, protein, and metabolite …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 · pp. 1–12 Read article
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Fabrication and Characterization of Diacerein Loaded Nanosponge for Topical Delivery
Abstract: Diacerein, an anti-inflammatory drug, which comes under BCS class II, commonly used in treatment of osteoarthritis has limited by its poor solubility and bioavailability when administered topically. This study aimed to develop and evaluate diacerein-loaded nanosponges gel using varying concentrations of ethyl cellulose and polyvinyl alcohol (PVA) to enhance its delivery. Nanosponges were prepared using an emulsion solvent evaporation technique, with different ratios of ethyl cellulose (0.05-0.250%) and PVA (0.2-0.3%). …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 2, 2025 · pp. 26–46 Read article
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Navigating the Antenna Frontier for Emerging IoT Technologies
Abstract: Internet of Things (IoT) is rapidly transitioning from niche applications to a pervasive, interconnected fabric of intelligent devices, demanding unprecedented levels of performance, reliability, and miniaturization from its constituent components. At the heart of this revolution lies the antenna, the crucial interface between the digital and physical realms. This paper delves into the intricate and evolving landscape of IoT antenna design, specifically addressing the unique challenges and opportunities presented by …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Development and Mechanical Characterization of Polymer based Bio Composite Filaments for FDM Applications
Abstract: Additive Manufacturing (AM) is an advanced fabrication process capable of producing complex and intricate components to meet diverse industrial and customer demands. For small-scale producers and researchers, FDM is the most straightforward, affordable, and easily accessible of the several AM processes. The majority of conventional polymer feedstocks used in FDM lack sufficient mechanical strength and thermal stability, which limits their use in load-bearing or structural components. This effort aims to …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 743–751 Read article
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A Comprehensive Survey of Polymer Detection Techniques and Computer-Based Analysis Methods for Advanced Material Characterization
Abstract: Polymers are widely used in aerospace, automotive, biomedical, packaging, electronics, and manufacturing industries because of their lightweight nature, durability, and versatility. Accurate polymer identification and characterization are essential for quality control, recycling, performance assessment, and the development of advanced materials. Characterization helps determine important properties such as chemical composition, molecular structure, thermal stability, mechanical strength, and surface morphology, which influence material performance and application suitability. Traditional polymer detection methods include …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 921–929 Read article
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A Comprehensive Investigation of Bagging-Based Ensemble Methods for Improving Machine Learning Model Robustness
Abstract: Machine learning models such as Decision Trees, Logistic Regression, and K-Nearest Neighbors are widely used for classification tasks due to their simplicity and interpretability. However, these models often suffer from high variance, overfitting, and poor generalization when applied to real-world datasets, particularly those that are small, noisy, or imbalanced, as commonly encountered in healthcare, finance, and cybersecurity applications. To address these limitations, this research proposes a Bagging (Bootstrap Aggregating)-based ensemble …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 24–34 Read article
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The Eco-Friendly Future of Publishing and Literature Distribution Particularly in India
Abstract: This research paper explores the potential of eco-friendly methods in publishing and literature distribution, focusing on their usefulness and future impact, particularly in India. This paper aims to explore the potential impact and usefulness of eco-friendly methods in publishing and literature distribution, shedding light on the latest technologies and methods that can contribute to a greener future. In recent years, there has been a growing concern about the environmental impact …
Published in OmniScience: A Multi-disciplinary Journal Read article
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AI-Powered Multilingual Mental Health Chatbot with Personalized Voice and Text Support on Streamlit
Abstract: Mental health concerns are increasingly recognized as one of the most pressing global challenges, with millions of people struggling to access timely, affordable, and personalized support. Barriers such as stigma, lack of professional availability, language differences, and geographical limitations often prevent individuals from seeking help when they need it most. To address this critical gap, this study introduces MindMate, an AI-powered multilingual chatbot specifically designed to provide both text-based and …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 40–50 Read article
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Multi-Layered AI-Driven Paradigm Shift in IoT Ecosystem Security
Abstract: As the Internet of Things (IoT) continues to weave itself into the fabric of modern life – from smart homes and industrial automation to healthcare and urban infrastructure – the associated security vulnerabilities have become increasingly apparent. Traditional security mechanisms, often built on static rules and perimeter-based defenses, struggle to keep pace with the scale, heterogeneity, and dynamic nature of IoT ecosystems. In response, artificial intelligence (AI) has emerged as …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 1, 2026 · pp. 13–21 Read article
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Artificial Intelligence in Entomology: Global Advances, Applications, and Future Directions in Insect Research and Pest Management
Abstract: Artificial Intelligence (AI) is transforming entomology by enabling scalable, data-driven approaches to insect identification, ecological monitoring, and sustainable pest management. This review synthesizes recent global advances in AI applications across taxonomy, behavioral ecology, predictive modeling, and precision agriculture. Machine learning and deep learning techniques—including convolutional neural networks, acoustic classification models, and ensemble predictive algorithms—have demonstrated high classification accuracies (often exceeding 90% under controlled conditions) and improved early detection of pest …
Published in International Journal of Insects · Vol. 3, Issue 1, 2026 · pp. 29–40 Read article
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AI-Based Threat Detection in Cloud Platforms
Abstract: This research work delves into the transformative role AI has come to assume for enhanced threat detection in the cloud ecosystem. The conventional security frameworks, which form the basis for many architectures, are several steps behind actualizing the rapidly evolving cyber threat landscape, exposing critical weaknesses in the areas of accuracy, adaptability, and speed of response. Initially, the study sets forth the problems with the old-school approaches to threat detection …
Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 01–10 Read article
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AI-Assisted Design and Theoretical Aerodynamic Evaluation of a Multistage Conical Diffuser Micro Wind Turbine Fabricated from Polymeric Composites
Abstract: The rising demand for compact, lightweight, and high-efficiency renewable energy systems has accelerated the development of micro wind turbines capable of delivering stable performance under low wind conditions. Traditional bare-rotor micro turbines suffer from limited aerodynamic efficiency, motivating the adoption of diffuser-augmented architectures and advanced polymer-based composite materials. This study presents the AI-assisted conceptual design and theoretical aerodynamic evaluation of a multistage conical diffuser micro wind turbine fabricated using a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1111–1118 Read article
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The Impact of Dietary Components on Lactation: A Critical Review
Abstract: Infant growth and well-being depend on an adequate and species-specific amount of nutrients, antibodies, and immunological components, which are provided by human breastfeeding, the cornerstone of newborn sustenance and development However, some moms struggle with producing inadequate milk, which can put the health advantages of nursing for both mother and child in jeopardy and cause stress, anxiety, and perhaps early weaning. This review discusses the fascinating idea that food changes …
Published in International Journal of Nutritions · Vol. 1, Issue 1, 2024 · pp. 31–36 Read article
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6G Frontier Exploration Analysis: Technologies, Vision, Insight and Challenges
Abstract: 6G wireless communication represents a revolutionary leap forward in connectivity, offering unprecedented speed, reliability, and security. Emphasizing machine-to-machine communication, terahertz frequencies, and advanced security protocols, 6G aims to create a data-driven society where connectivity is instant and limitless. By integrating cutting-edge innovations such as artificial intelligence, 6G has the capacity to reshape various sectors, including healthcare, urban planning, and manufacturing, facilitating smarter and more efficient systems. The current paper provides …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 25–33 Read article
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Optimization and CFD Analysis of Fin-Enhanced Cooling Systems for Improved PV Efficiency
Abstract: This study is about optimizing and doing a CFD (Computational Fluid Dynamics) analysis of fin-enhanced cooling systems to improve the efficiency of photovoltaic (PV) systems. Photovoltaic (PV) panels are sensitive to temperature changes; the temperature influences the performance and lifespan of these panels. High temperatures cause their electrical output to reduce, thereby limiting their performance. In order to address this problem, several coolants such as air, liquid, phase change materials, …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 1, 2025 · pp. 19–29 Read article
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Laser Engraving Machine
Abstract: Laser engraving technology has gained significant importance across various sectors, including manufacturing and prototyping, as well as in arts, due to its high precision and adaptability. Nevertheless, the high cost of commercial laser engraving systems often renders them inaccessible to small-scale users and educational institutions. From quick prototyping and large-scale production to creative industries like arts and crafts, laser engraving technology has become a very useful tool in many different …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 6–13 Read article
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A Study to Assess the Effectiveness of a Structured Teaching Programme on the Level of Knowledge Regarding Primary Prevention of Oral Cancer Among Intermediate Students at Shatrughan Singh Inter College, Kalyanpur, Kanpur
Abstract: Background: Oral cancer is a significant public health concern, yet awareness of its causes, risk factors, and preventive measures remains low among adolescents and young adults. Since intermediate students have a limited understanding of oral cancer and its impact on health, the present study aimed to assess the effectiveness of an informational pamphlet in improving knowledge regarding the primary prevention of oral cancer. Method: A quantitative pre-experimental research design with …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 9–14 Read article
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Toward Intelligent Public Transport: Review of Smart Bus Stop Systems with Real-Time Location
Abstract: The increasing demand for efficient, reliable, and sustainable public transportation has driven the evolution of smart bus stop systems worldwide. Traditional bus stops often fail to meet modern commuter expectations, such as real-time service information, accessibility, and integration with smart city frameworks. This review paper provides a comprehensive overview of the technological advancements, design approaches, and global adoption of smart bus stops. Key enabling technologies, including GPS, IoT, wireless communication, …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 1, 2026 · pp. 1–12 Read article
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A Review on Tailor Craft E-Commerce: Design, Implementation and Evaluation
Abstract: The rapid growth of e-commerce has transformed how consumers purchase products and interact with businesses. In particular, the clothing and fashion industry has embraced digital platforms to extend its reach, improve accessibility, and offer convenience to customers. However, challenges such as unclear product information, insecure payment methods, poor user experience, and inefficient order tracking still limit customer satisfaction in many platforms. The Tailor Craft E-Commerce project aims to bridge these …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 Read article
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Virtual Reality in Civil Engineering: A Comprehensive Review of Applications, Challenges, and Future Trends
Abstract: Virtual reality (VR) technology has gained significant attention in civil engineering, offering immersive and interactive environments that enhance visualization, safety training, and project management. This review paper comprehensively examines the current applications of VR in civil engineering, focusing on construction safety training, design visualization, and stakeholder collaboration. VR’s ability to simulate hazardous scenarios allows for effective safety awareness and risk mitigation without real-world exposure. Additionally, the integration of VR with …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 3, 2025 · pp. 20–24 Read article