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1974 articles for “high-k” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Debris Flows in Mining Areas: Risk Assessment and Mitigation Strategies for Mine Waste Management
Abstract: This study investigates the dynamics and risks associated with debris flows, focusing on the differentiation between natural and mine-generated debris, particularly in storm-affected areas. Mine debris flows, frequently exacerbated by heavy rainfall and human activities, are a major concern due to their destructive potential and environmental impact. The research highlights key factors contributing to debris flow hazards, such as sediment composition, flow velocity, and terrain susceptibility. Additionally, the study explores …
Published in International Journal of Minerals · Vol. 1, Issue 2, 2024 · pp. 1–7 Read article
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Toward Comprehensive Immunization: The Role of Combined COVID-19 and Influenza Vaccines in Public Health
Abstract: The emergence of multi-pathogen vaccines, particularly those combining protection against COVID- 19 and influenza, marks a significant advancement in immunization efforts. These combination vaccines have the potential to streamline vaccination processes, improve vaccine uptake, and reduce the burden on healthcare systems by offering a single dose that targets both viruses. COVID-19 and seasonal influenza are major public health concerns, with overlapping symptoms and seasonal patterns that justify the rationale for …
Published in International Journal of Vaccines · Vol. 2, Issue 1, 2025 · pp. 9–17 Read article
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Big Data Application in Manufacturing and Supply Chain Management: A Comprehensive Review
Abstract: This review paper synthesizes findings from ten recent studies on the application of big data analytics in manufacturing, supply chain management, and related fields. The papers examined cover a range of topics including sustainable manufacturing, green supply chain management, predictive maintenance, and semiconductor manufacturing. This review aims to provide a comprehensive overview of the current state of research in these areas, highlighting key trends, methodologies, and opportunities for future work. …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 1, 2025 · pp. 8–17 Read article
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Pharmacovigilance and drug safety current trends and challenges
Abstract: Pharmacovigilance and drug safety are critical areas of focus in healthcare, aimed at monitoring the safety and efficacy of pharmaceutical products throughout their lifecycle. This review explores current trends, emerging technologies, and challenges in pharmacovigilance, emphasizing their impact on public health and regulatory practices. With the increasing complexity of global pharmaceutical markets, pharmacovigilance systems are evolving to integrate real-time data analytics, artificial intelligence (AI), and machine learning (ML) to detect …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 1, 2025 · pp. 19–27 Read article
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A Sociolinguistic Perspective on Hausa Loanwords in the Kəlba Language
Abstract: Linguistic borrowing is seen as a significant source of language development and enrichment. This study examines Hausa loanwords borrowed into the Chadic language of Kəlba, which is spoken in Gombi, Hong, Maiha, Mubi North, and Mubi South local government areas of Adamawa State, Nigeria. The lingua franca in most of northern Nigeria is Hausa, one of the indigenous national languages of the region. The primary sources of data for the …
Published in Emerging Trends in Languages · Vol. 2, Issue 1, 2025 · pp. 27–32 Read article
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Academia to Industry: The Impact of AI on Information Retrieval Technologies
Abstract: Artificial intelligence (AI) has significantly reshaped the field of information retrieval (IR), bridging theoretical advancements from academia with practical applications across various industries. This article explores the transformative impact of AI on IR technologies, highlighting key contributions from academic research and how they have been adapted for industry-scale implementations. Academic innovations, such as neural ranking models and semantic search techniques, have improved the accuracy and relevance of search results by …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 1, 2025 · pp. 1–7 Read article
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Revolutionizing oncology - role of artificial intelligence in early cancer detection and diagnostic advances-A comprehensive review
Abstract: Oncology has experienced a remarkable transformation with the adoption of artificial intelligence (AI), which has greatly enhanced cancer detection and diagnosis. As one of the leading causes of death worldwide, cancer highlights the importance of early detection in improving patient outcomes and survival rates. AI’s ability to analyze vast and complex datasets has enabled groundbreaking innovations in imaging, pathology, biomarker discovery, and predictive analytics. This review highlights key AI-driven advancements …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 1, 2025 · pp. 18–22 Read article
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A Study of Open-source Cloud Computing Platforms
Abstract: Cloud computing has modernized the way organizations manage, store, and process data, offering scalable and cost-effective solutions. Open-source cloud computing platforms have emerged as a key enabler in this transformation, providing flexibility, transparency, and community-driven innovation. This study discusses the most prominent open-source cloud platforms, including OpenStack, CloudStack, and Kubernetes, highlighting their architecture, features, and use cases. The study deals with their comparative strengths, limitations, and adoption challenges in various …
Published in Journal of Open Source Developments · Vol. 12, Issue 1, 2025 · pp. 25–36 Read article
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Enhancing Credit Card Fraud Detection Using Device Fingerprinting and Behavioral Biometrics
Abstract: Credit card fraud is a growing global concern, with financial losses projected to reach $ 43.47 billion by 2028. Credit card fraud poses a major challenge in the financial industry, resulting in substantial financial losses and security risks. This research introduces a Machine Learning-based Credit Card Fraud Detection System designed to improve the accuracy of fraud identification. Due to the imbalanced nature of fraud datasets, SMOTE (Synthetic Minority Over-sampling Technique) …
Published in Journal Of Network security · Vol. 13, Issue 2, 2025 · pp. 40–50 Read article
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Leveraging Deep Learning and Cloud Computing for Water Usage Optimization in Agriculture: A Study
Abstract: Water scarcity and inefficient irrigation practices are significant challenges in modern agriculture. This research investigates how deep learning and cloud computing can be combined to enhance water efficiency in agricultural practices. Leveraging advancements in deep learning and cloud computing, researchers have developed innovative solutions for optimizing water usage. This review examines the state-of-the-art methodologies, technologies, and applications in smart irrigation systems. It explores how deep learning models and cloud platforms …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 83–91 Read article
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Electric Vehicle Prospects and Obstacles in India
Abstract: India has a lot of prospects and obstacles when it comes to the adoption of electric cars (EVs). As the country seeks to address pressing environmental concerns, reduce dependence on fossil fuels, and promote sustainable growth, the shift to EVs is seen as a critical step forward. India's move to electric cars (EVs) is a significant change in the automotive and energy industries of the nation, with significant potential economic …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 20–25 Read article
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Advanced Functional Polymers and Their Synergistic Role in Smart Composite Materials for Sustainable Industrial Applications
Abstract: Advanced functional polymers have revolutionized composite materials, offering enhanced properties such as self-healing, electrical conductivity, environmental adaptability, and high mechanical strength. These innovations are reshaping industries by enabling smarter, more efficient, and sustainable solutions. Functional polymers play a pivotal role in producing high-performance composite materials to meet the growing demands of sustainable industrial applications. Significant improvements in material properties mechanical strength, durability, thermal stability, and recyclability are achieved through the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 12–27 Read article
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Advances in Biopolymer-Based Surgical Implants: A Polymer Chemistry Perspective
Abstract: Biopolymers have emerged as a promising class of materials for surgical implants due to their biocompatibility, biodegradability, and ability to mimic natural tissue properties. These materials play a crucial role in modern biomedical engineering by reducing adverse immune responses and enhancing tissue integration. This paper explores the role of polymer chemistry in developing biopolymer-based surgical implants, highlighting key polymeric materials. These polymers are making them suitable for diverse biomedical applications. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1–6 Read article
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Early Detection of Heart Disease using Machine Learning Techniques
Abstract: Coronary illness stays one of the main sources of death around the world. Exact expectations of coronary illness can altogether work on quiet results by empowering early intercession and customized treatment plans. Throughout the course of many recent years, AI (ML) methods have been extensively investigated for anticipating coronary illness, attribuFig to their remarkable capacity to analyze complex data patterns and generate precise predictions based on historical clinical records. With …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 34–45 Read article
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Natural Language Processing in Education: A Review of Applications, Challenges, and Future Directions
Abstract: Natural Language Processing (NLP) has increasingly become a transformative force within the field of education, offering innovative solutions and reshaping traditional methods of teaching, learning, assessment, and educational research. This review explores the evolving landscape of NLP applications in education, shedding light on significant advancements, ongoing challenges, and emerging opportunities. The integration of NLP into intelligent tutoring systems has enabled more personalized learning experiences, while automated assessment tools have enhanced …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 11–18 Read article
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Symmetry Principles in Digital Twin Systems: Modeling, Integration, and Applications
Abstract: This systematic review comprehensively examines the burgeoning field of Digital Twin (DT) technology, analyzing its current state, diverse applications, and future trajectory. Through a rigorous methodology involving a systematic search of academic databases and relevant industry literature, this review synthesizes findings across a spectrum of disciplines. We identify the core components and underlying principles of DTs, distinguishing them from traditional simulation models by their dynamic, realtime data integration and bi-directional …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 06–24 Read article
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AI- based Prediction of Misinformation Virality Before Wide Dissemination using Attention-based Multi-modal
Abstract: Misinformation on social media has emerged as a critical global challenge, impacting public health, democratic institutions, and societal trust. While existing research has largely concentrated on detecting misinformation after it begins circulating, predicting its virality before wide dissemination remains an underexplored area, limited work addresses predicting its virality before wide dissemination. This paper presents a conceptual framework using attention-based multi-modal deep learning models to estimate the virality of misinformation posts …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 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
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Role of Fluid Engineering in Biomedical and Healthcare Systems: A Comprehensive Review
Abstract: Fluid engineering — the study and application of fluid behavior, transport, and interaction — has become a cornerstone of modern biomedical and healthcare systems. This review synthesizes the multifaceted roles fluid engineering plays across diagnostics, therapeutics, biomedical devices, and physiological modeling. Micro-fluidics enables precise manipulation of microliter and nanoliter volumes, facilitating rapid point-of-care diagnostics, high-throughput screening, and the fabrication of uniform nano particles for targeted drug delivery. In cardiovascular medicine, …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 1–5 Read article
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Enhancing Remote Patient Monitoring with Ai-Powered Virtual Assistants
Abstract: Artificial Intelligence (AI) is transforming personalized education by tailoring learning materials to meet the distinct needs, preferences, and progress of individual students. This paper explores how AI technologies—such as machine learning, natural language processing, and adaptive learning systems are improving the effectiveness of personalized learning experiences. Through AI, students benefit from timely feedback, access to intelligent tutoring systems, and data-driven insights that enable educators to enhance their teaching strategies. Additionally, …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 Read article