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897 articles for “identification system”
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AI-Driven Framework for Accelerating Polymer Nanocomposite Commercialization in Computational Materials Engineering
Abstract: The remarkable mechanical strength increased functional qualities, lightweight structure, and thermal stability of polymer nanocomposites have prompted modern materials research to prioritize their rapid commercialization. Advanced materials can be created by adding nanoscale fillers such as carbon nanotubes, graphene, silica, and metal oxides to polymer matrices. These materials have applications in biomedical engineering, aerospace, electronics, packaging, and automobile manufacture. Research and development of polymer nanocomposites has traditionally relied on costly …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1–19 Read article
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Computer Aided Drug Designing for Targeted Drug Delivery Systems
Abstract: The discovery and development of a contemporary sedate is widely acknowledged as an extremely difficult task that requires significant resources and effort. Therefore, computer-aided medication design techniques are widely utilized today to increase the productivity of the drug discovery and development process. Among structure-based and ligand-based drug design approaches, both recognized for their efficiency in drug discovery and development, various CADD (Computer-Aided Drug Design) techniques are evaluated based on specific …
Published in Trends in Drug Delivery · Vol. 11, Issue 2, 2024 · pp. 34–41 Read article
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A Systematic Review on The Role of Artificial Intelligence in Assisted Reproductive Technology
Abstract: Artificial Intelligence (AI) has significantly transformed Assisted Reproductive Technology (ART) over the past five years, enhancing diagnostic accuracy, treatment personalization, and overall success rates. AI-driven algorithms and machine learning models have been integrated into various aspects of ART, including sperm selection, embryo grading, and predicting implantation success. Deep learning techniques have improved image-based embryo assessment, reduced human subjectivity and increased efficiency. Additionally, AI-powered predictive analytics have helped optimize ovarian stimulation …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 Read article
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Spectral Intuitionistic Fuzzy Hypergraph Operators and Dominance Kernels for Resilient Discrete Network Design
Abstract: A new discrete-mathematical framework is developed for resilient network design on intuitionistic fuzzy hypergraphs, where uncertainty is explicitly represented through membership, non-membership, and hesitation degrees associated with both vertices and hyperedges. These three components are systematically integrated into an effective incidence operator that captures the underlying uncertain relationships within complex hypergraph structures. Based on this operator, both un-normalised and normalized Laplacian matrices are formulated to characterize the spectral properties and …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 41–48 Read article
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Impact of Urbanization on Biodiversity Hotspot: A Case of Bhubaneswar City
Abstract: Urbanization has contributed to pollution and generation of waste heat leading to changes in the urban heat balance thereby influencing its microclimate. Urban regions confront heightened heat wave conditions due to urban heat island (UHI) impact, which is a result of anthropogenic effects on both surface and atmospheric temperature patterns relative to the natural environment. The investigation was carried out in a 20-km radius around the city of Bhubaneswar. The …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 3, 2024 · pp. 20–28 Read article
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Stilbenes: A Molecular Docking and ADMET Analysis Approach on an Emerging Resource for Scavenging Reactive Oxygen Species in the Field of Colon Malignancy
Abstract: Objective: Colon malignancy, also referred to as colon cancer, originates as precancerous polyps in the colon or rectum, which have the potential to thrive and progress into cancerous tumors over time. This study delves into various bioactive compounds (from natural sources like plants) to assess their potential efficacy in inhibiting colon malignancy as compared to conventional methods. Methods: The objective of this study was to employ computational methodologies to evaluate …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 3, 2024 · pp. 29–38 Read article
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Optimizing Fin Parameters to Enhance Passive Heat Dissipation in Photovoltaic Panels
Abstract: This study explores passive cooling techniques to enhance the thermal management of photovoltaic (PV) modules, which is crucial for maintaining efficiency. A computational fluid dynamics (CFD) model, using ANSYS Fluent, was developed to evaluate three fin shapes: rectangular, trapezoidal, and triangular, attached to the back of PV modules. The study varied parameters such as fin count, thickness, and length to determine optimal configurations for cooling. Among the designs, triangular fins …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 2, 2024 · pp. 25–35 Read article
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Transforming Rare Disease Diagnosis with AI
Abstract: Artificial intelligence is changing healthcare fast. It is making diagnoses accurate, helping doctors get better results, and streamlining how care works. This paper looks at how AI shows up in healthcare right now – where it is already making a difference, what is working, and what is still tricky. The focus is on machine learning, natural language processing, and computer vision. Particular attention is given to using AI in diagnosing …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
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Antimicrobial Resistance and AI-Based Strategies for Rapid Pathogen Detection
Abstract: Antimicrobial resistance (AMR) has become a major global health threat, significantly reducing the effectiveness of antimicrobial therapies and increasing the burden of infectious diseases worldwide. The rapid emergence of multidrug-resistant pathogens has created an urgent need for faster, more accurate, and scalable diagnostic approaches to support timely treatment and effective infection control. Artificial intelligence (AI) has emerged as a promising technology capable of transforming pathogen detection and AMR surveillance through …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 2, 2026 · pp. 26–36 Read article
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Optimizing Microbial Consortia for Enhanced Biofuel Production: A Metabolic Engineering Approach
Abstract: Biofuels, derived from renewable biomass sources, offer a promising avenue for reducing greenhouse gas emissions and mitigating environmental impact. Among the various approaches to biofuel production, microbial fermentation using microbial consortia has gained significant attention due to its potential for enhancing efficiency and sustainability. Microbial consortia, consisting of diverse populations of microorganisms, exhibit synergistic interactions between different types of microbes that can improve substrate utilization and metabolic robustness compared to …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 1, 2024 · pp. 46–53 Read article
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Understanding Significance, Challenges and Barriers in Home-Based Medical Care – A Thematic Review of Literature
Abstract: Home-based medical care (HBMC) is emerging as a cornerstone of modern healthcare, offering a pragmatic solution to the evolving needs of patients. This form of care, which delivers personalized and patient-centric services, catering to individual needs within the familiar environment of their homes, is gaining traction for its ability to improve patient outcomes while simultaneously reducing healthcare costs. This thematic review of the literature aims to shed light on the …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 1, 2024 · pp. 66–71 Read article
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Synthesizing Policy Gaps, Sector-Specific Challenges, and Emerging Opportunities to Develop Novel Research Themes in India’s Circular Economy
Abstract: The concept of the Circular Economy represents an important shift away from the linear & take-make-dispose" model toward a regenerative system, with quite a number of aspects in which circularity is needed in India, due to recent decades of rapid industrialization and rising consumption. Despite supportive policy initiatives such as the National Resource Efficiency Policy and Extended Producer Responsibility frameworks, India's transition to CE remains fragmented. This synthesis aims to …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 1, 2026 · pp. 32–39 Read article
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Computational Biomodeling: Transforming Drug Design with Advanced Simulations
Abstract: Computational biomodeling has emerged as a transformative approach in the field of drug discovery, significantly enhancing the efficiency and precision of identifying and optimizing potential drug candidates. This article explores the various computational techniques utilized in drug design, including molecular docking, molecular dynamics (MD) simulations, free energy calculations, and virtual screening, and examines how these methods collectively contribute to the drug development process. The integration of these advanced simulations allows …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 24–29 Read article
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Analysis of Rear Suspension Geometry of an ATV
Abstract: This research presents the design and optimization of a rear suspension system specifically developed for an All-Terrain Vehicle (ATV), with the primary goal of enhancing ride quality, handling, and overall dynamic performance across diverse terrains. A key objective is to improve damping characteristics while minimizing unwanted changes in track width and wheelbase during suspension articulation. The study carefully examines critical suspension parameters, including camber angle, toe angle, and wheel travel, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 275–286 Read article
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Pneumatic Operated Engine
Abstract: The increasing awareness of fossil fuel depletion & environmental pollution has accelerated the need for the development of sustainable & eco-friendly alternatives to traditional internal combustion engines. Pneumatically operated engines have been identified as a potential alternative for small-scale mechanical power generation owing to their advantages of zero exhaust emissions, noise reduction & operational safety. This paper describes the design, development & performance analysis of a pneumatically operated engine, which …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 1, 2026 · pp. 1–7 Read article
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Integrating Building Information Modelling in the Pursuit of Sustainability: A Systematic Review
Abstract: Building Information Modelling (BIM) technologies drive sustainable practices throughout the project lifecycle. It highlights how BIM serves as a powerful tool for enhancing project efficiency, reducing waste, and improving resource management. Study different phases of implementation of BIM in sustainable development. Role of BIM in Energy efficiency, Waste management, Carbon footprint reduction, Water conservation and Project life cycle management. The paper reviews various studies that demonstrate the integration of BIM …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 3, 2025 · pp. 76–92 Read article
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AGRISMART: Crop and Soil Management System
Abstract: Agriculture has played a crucial role in developing countries where the majority of the rural population relies on it for their livelihoods. A finer-grade crop classification has become crucial in the context of precision agriculture. In recent years, the volume of open image data has grown significantly. This can be used in combination with machine learning techniques to classify crop types in the agricultural industry. The proposed crop species recognition …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 50–55 Read article
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Gatividhi Guard: The Activity Guardian—Revolutionizing Security Information and Event Management (SIEM) Technology
Abstract: In the dynamic landscape of cybersecurity, organizations confront increasingly intricate cyber threats that necessitate sophisticated security measures. Conventional systems such as Security Information and Event Management (SIEM) systems face ongoing challenges, they often struggle to effectively detect and mitigate sophisticated attacks within extensive data sets. To address these limitations, the introduction of Gatividhi Guard signifies a paradigm shift in SIEM technology. Gatividhi Guard is an innovative SIEM platform leveraging advanced …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 1, 2024 · pp. 29–44 Read article
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Epidemiology and transmission of infectious diseases study using Machine learning
Abstract: Infectious diseases remain a formidable global health challenge, characterized by rapid evolution and complex transmission dynamics that often outpace traditional epidemiological surveillance and response mechanisms. This study investigates the transformative potential of machine learning (ML) methodologies to enhance our understanding and prediction of infectious disease epidemiology and transmission. Leveraging diverse datasets—including clinical records, genomic sequences, environmental factors, social mobility data, and real-time digital footprints—we studies and presented various ML models …
Published in International Journal of Pathogens · Vol. 2, Issue 2, 2025 Read article
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An Overview on AI-Driven IoT Based Decision Making in Climate change Study: KSK approach in Climate Change Study
Abstract: As the Earth’s climate enters a state of unprecedented volatility, the traditional methods of ecological observation—characterized by delayed reporting and fragmented data—are no longer sufficient. This study investigates the paradigm shift toward AI-driven IoT (KSK Approach)-based decision-making frameworks as the primary frontier in climate science. By deploying a "planetary nervous system" of interconnected sensors—measuring everything from soil moisture in the Sahel to glacial melt rates in the Arctic—we generate a …
Published in International Journal of Climate Conditions · Vol. 3, Issue 1, 2026 · pp. 1–10 Read article