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1144 articles for “complexity”
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The Role of Artificial Intelligence and Machine Learning in Redefining Global Healthcare Systems and Advancing Medical Innovation
Abstract: Health Services are being revolutionized with AI and ML through improved accuracy, efficiency and accessibility in the delivery of health care. With AI and ML, it is now possible for health care professionals to assess varying amounts of complex clinical data in a relatively short amount of time, therefore, creating opportunities for early detection of disease, increasing the odds of accurate diagnosis, and improving the ability to make informed clinical …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 14–19 Read article
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A Comprehensive Review of Machine Learning and Explainable AI Techniques for Disease Prediction Systems
Abstract: Large amounts of diverse medical data have been produced because of the quick development of digital healthcare systems, offering substantial chances to use machine learning methods for clinical decision support and illness prediction. By identifying intricate patterns in clinical data, machine learning-based models have shown great promise in early disease detection, risk assessment, and personalised healthcare. However, issues with transparency, interpretability, and reliability have been brought up by the growing …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
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Autonomous 6G Physical Layer Architectures for Space-Air-Ground Integrated Networks
Abstract: The emergence of sixth generation (6G) wireless systems calls for a significant shift away from conventional deterministic communication models. As communication infrastructures evolve into Space- Air-Ground Integrated Networks (SAGIN), traditional physical layer (PHY) techniques struggle to operate effectively under the severe Doppler effects and long propagation delays associated with space environments. This paper examines the role of artificial intelligence embedded directly within the 6G transceiver architecture to enable ultra-reliable and …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
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Polymeric Nanocomposite Aided Bioaugmentation for Marine Oil Spills – A Review
Abstract: Bioaugmentation is a promising, cost-effective bioremediation technique that enhances the degradation of marine pollutants by introducing hydrocarbon-degrading microorganisms. This review explores recent advancements in the use of bioaugmentation for petroleum biodegradation in marine environments, emphasizing the integration of microbial systems with polymeric and composite materials. Innovative methods, such as the immobilization of microbial cells within biodegradable polymeric matrices (e.g., alginate, chitosan, polyvinyl alcohol), have significantly improved microbial viability, metabolic efficiency, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1049–1061 Read article
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Monoclonal antibodies in targeted cancer therapy advances, resistance mechanisms, and next-gen formats (Bispesifics, ADCs)
Abstract: Breast cancer is one of the leading causes of cancer-related morbidity and death worldwide, which emphasizes the need for more effective and focused treatment strategies. antibody-mediated drug delivery techniques. Specifically, antibody–drug conjugates (ADCs) have emerged as a potential approach that combines the specificity of monoclonal antibodies with the potent cytotoxicity of anticancer drugs. By selectively targeting tumor-associated antigens, ADCs enhance drug accumulation within cancer cells while minimizing systemic toxicity associated …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 17, Issue 2, 2026 Read article
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Enhance Thermal and Conductive Properties through Graph Neural Network-Based Machine Learning-Driven Advanced Polymer Material Design
Abstract: Advanced polymer materials are widely used in modern engineering and manufacturing because of their lightweight nature, flexibility, durability, and adaptability to different applications. However, designing polymer materials with enhanced thermal and electrical properties remains a challenging task. The performance of polymers is influenced by a complex combination of molecular structures, filler materials, processing parameters, and nanoscale interactions. Conventional optimization methods often require extensive experimental trials and computational resources, making it …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Evaluation and Fabrication of 3D Printed Bioactive β-TCP/PCL Scaffolds for Bone Tissue Engineering
Abstract: Bone is one of the tissue types that is transplanted the most worldwide. Each year, there are over four million procedures that incorporate the use of bone grafts or substitutes to help heal bone deficiencies. These treatments are still limited greatly, and there is always a demand to help because of trauma, cancer, infection, and arthritis. Because of this, researchers are targeting improvement in developing bioactive three-dimensional (3D) scaffolds that …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 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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AI-Driven Pharmacogenomics and Precision Medicine: Future of Personalized Therapy
Abstract: Pharmacogenomics and artificial intelligence (AI) are emerging as important drivers of precision medicine, enabling healthcare systems to adopt individualized therapeutic approaches. Pharmacogenomics examines how genetic variations influence drug response, efficacy, metabolism, and toxicity, while AI provides advanced computational tools for analyzing complex genomic and clinical data. This review highlights the integration of AI-driven pharmacogenomics in personalized therapy and its potential to improve treatment outcomes. Machine learning, deep learning, natural language …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 1–12 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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Performance and Analysis of 6T, 8T & 10T SRAM Cell in 28nm Technology
Abstract: Technology scaling into deep sub-micron regimes has significantly increased the design challenges of Static Random Access Memory (SRAM), particularly at the 28 nm technology node. As transistor dimensions shrink, SRAM cells become more vulnerable to stability degradation, leakage current, process variations, and reduced noise margins, which adversely affect overall memory performance and reliability. The conventional 6T SRAM cell remains widely used due to its compact structure and high storage density; …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 Read article
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Artificial Intelligence in Early Diagnosis and Personalized Treatment of Alzheimer’s Disease
Abstract: Artificial intelligence (AI) has become a disruptive technology in the medical care industry, with potential solutions to early diagnosis and customized treatment of Alzheimer’s disease (AD), a progressive neurodegenerative disease and the most prevalent cause of dementia globally. Conventional diagnostic techniques, such as cognitive, neuroimaging and biomarker techniques, are usually limited in the ability to detect disease at its most susceptible stage when treatment interventions are most effective. The recent …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 · pp. 15–27 Read article
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Phosphorescence of Carbon Nanodots – The Phenomena and the Applications
Abstract: Photoluminescence has emerged as a fundamental phenomenon in modern biomedical science, enabling advanced diagnostic, therapeutic, and theranostic applications through light–matter interactions at the nanoscale. The ability of photoluminescent materials to absorb electromagnetic radiation and emit light at distinct wavelengths has been widely exploited in bioimaging, biosensing, drug delivery tracking, and photodynamic therapy. Among various photoluminescent nanomaterials, carbon nanodots have attracted significant attention due to their strong emission intensity, tunable fluorescence, …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 1, 2026 · pp. 01–05 Read article
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Artificial Intelligence in Education: Enhancing Usability and Adoption Among Educators in Digital Classrooms
Abstract: The use of Artificial Intelligence (AI) in education has changed digital learning environments. It provides new tools to improve teaching and boost student engagement. However, even with more AI-enabled technologies available, not all educators are using them equally. This uneven adoption is mainly due to problems with usability, accessibility, and digital readiness. This study addresses the critical gap between the potential of AI in education and its practical utilization by …
Published in Recent Trends in Social Studies · Vol. 3, Issue 2, 2026 Read article
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Integrated Frameworks for Artifical Intelligence in Radioactive Waste Characterization and Nuclear Lifecycle Safety
Abstract: The management and characterization of radioactive waste represent a pivotal challenge for the global energy sector, requiring the convergence of advanced physics, material science, and computational intelligence. As the nuclear industry undergoes a paradigm shift toward decommissioning legacy facilities and establishing deep geological repositories, the limitations of traditional, manually-intensive waste management processes have become increasingly apparent. Rigid separation from the biosphere is required for radioactive waste, which is defined by …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Comparative Study of BERT Variants for Sentiment Analysis with Error Analysis
Abstract: The use of media is going up fast in India, and this has led to the rise of Hinglish. Hinglish is an informal blend of Hindi and English that people commonly use in everyday conversations, especially across social media platforms such as Twitter, Facebook, and WhatsApp. People use Hinglish to talk to each other in a way that is not very formal. Hinglish blends English vocabulary with informal usage, often …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 39–48 Read article
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AccuPark: Intelligent Parking Using Wheel Detection
Abstract: Nowadays Due to rapid urbanization and the increasing number of vehicles in India, major traffic problems have emerged in cities. The lack of parking spots is one of the main causes. Even when parking spaces are available, they are often not properly managed. Additionally, improper and unorganized parking by individuals leads to inefficient use of available space, further worsening traffic congestion as people tend to park their vehicles anywhere. This …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 2, 2026 Read article
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Robotics and Automation in Mechanical Engineering: Transforming Modern Manufacturing Systems
Abstract: Robotics and automation have significantly transformed mechanical engineering, particularly in manufacturing, precision assembly, and intelligent systems integration. With the advancement of sensors, control systems, artificial intelligence, and mechatronics, robotic systems are now capable of performing complex tasks with high accuracy, repeatability, and efficiency. This article explores the role of robotics in modern mechanical applications, including industrial automation, collaborative robots, predictive maintenance, and smart manufacturing. It also discusses design considerations, challenges, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 1, 2026 · pp. 27–33 Read article
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Nutritional Status, Bioactive Properties & Therapeutic Efficacy of Omega-3 Polyunsaturated Fatty Acids Obtained by Green Synthetic Routes
Abstract: Polyunsaturated fatty acids (PUFAs), particularly omega-3 (n-3) fatty acids like eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), are crucial for human health. They support structural brain development, visual acuity, and cardiovascular function, while also exhibiting potent anti-inflammatory, antioxidant, and antimicrobial properties. Historically, marine fish oil has been the primary dietary source of these essential fatty acids. However, escalating concerns regarding ecological environmental impacts, the oceanic bioaccumulation of heavy metal contaminants, …
Published in International Journal of Nutritions · Vol. 3, Issue 2, 2026 Read article
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Optimized Sentiment Analysis Through TextBlob and Hybrid RNN Models
Abstract: In today’s world, analyzing people’s feelings from what they write online has become very important. This is because there is a large amount of content created by users. To make this analysis accurate and fast, we present a method. This method uses a mix of two approaches: one that looks up words in a dictionary and another that uses computer learning. TextBlob is an affordable tool for getting an initial …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 29–28 Read article