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1360 articles for “lay-up”
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Characterization Techniques for Thin Film Coatings Based on SiO₂, TiO₂, and ZrO₂
Abstract: Thin film coatings made from silicon dioxide (SiO₂), titanium dioxide (TiO₂) and zirconium dioxide (ZrO₂) have attracted great interest owing to their excellent optical, electrical, mechanical and chemical properties. These oxide thin films are widely used in microelectronics, solar cells, sensors, biomedical devices, photocatalysis, anti-reflective coatings and protective layers. The structural, morphological, compositional, optical and mechanical properties of these coatings are closely related to their performance and reliability. Therefore, thorough …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 2, 2026 Read article
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Polypyrrole-Based Conductive Polymer-Gated Single Electron Transistor with Deep Neural Network Assistance for Biomedical Energy Harvesting and Charge Detection
Abstract: The increasing demand for intelligent biomedical monitoring systems has accelerated research into ultra-low-power sensing technologies capable of operating with high sensitivity and minimal energy consumption. Conductive polymers have attracted considerable attention for biomedical and nanoelectronic applications due to their tunable electrical properties, biocompatibility, and environmental stability. Among them, Polypyrrole (PPy) is a promising functional polymer that can enhance charge transport and electrostatic coupling in nanoscale devices. In this work, a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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AI-Enhanced EHR System with Intelligent Prescription Processing and Automated Patient Engagement
Abstract: AI-Enhanced EHR System with Intelligent Prescription Processing and Automated Patient Engagement: A Comprehensive Electronic Health Record and Hospital Management System Healthcare institutions increasingly require digital solutions to manage the growing complexity of patient data, staff coordination, and multi-branch operations. This paper presents an AI-Enhanced EHR System with Intelligent Prescription Processing and Automated Patient Engagement, a full-stack Hospital Management System (HMS) designed to streamline clinical and administrative workflows within modern healthcare …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 2, 2026 · pp. 28–34 Read article
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A Standards-Compliant API Framework for Integrating NAMASTE and ICD-11 TM2 Terminologies into Indian Electronic Medical Records (EMRs)
Abstract: The lack of standardized, interoperable terminology services has hindered the integration of India’s traditional medical systems into the mainstream digital health infrastructure. Although ICD-11 Traditional Medicine Module 2 (TM2) offers an internationally harmonized classification for traditional medicine diagnoses and the NAMASTE portal defines structured vocabularies for AYUSH conditions, current Electronic Medical Record (EMR) platforms in India are unable to natively consume, map, or translate these terminologies in a way that …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 2, 2026 · pp. 19–27 Read article
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Advances in Lung Cancer Detection and Diagnosis: An Integrative Approach Using Computational Chemistry, Statistics, Bioinformatics, Artificial Intelligence, and Machine Learning
Abstract: Lung cancer is still one of the most common and lethal cancers globally, accounting for more than a million deaths each year. Prompt detection is important, and imaging techniques like chest X-rays, MRIs, PETs, CTs, and molecular imaging have become important tools. But still, even though all these techniques do not provide an accurate classification of the lesion, they have led to the development of computer-based high-resolution image analysis. Computer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Enhance the Thermal Performance and Fluid Flow Behavior in Micro-Tube Heat Exchangers with Variable Fluid Properties for Cooling Applications
Abstract: This paper focus on the substantial effects of fluid property changes and phase change events, this study provides a comprehensive transient assessment of the heat exchanger's thermal performance and fluid flow behaviour for cooling and dehumidification applications. In response to a step-change perturbation, a dynamic model was created and co-simulated to describe the moist air (shell-side) and the two-phase refrigerant (tube-side), as well as their non-linear interactions. The significant correlation …
Published in Journal of Thermal Engineering and Applications · Vol. 13, Issue 2, 2026 Read article
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Design and Fabrication of Mini-Household Water Treatment System
Abstract: Access to safe drinking water remains a serious challenge in many developing countries, including Nigeria, due to pollution, poor infrastructure, and ineffective water management. This study presents the design, fabrication, and performance evaluation of a mini household water treatment system that uses charcoal carbon derived from desert date wood. The project aims to provide a low-cost, gravity-driven, and sustainable water purification solution for rural and peri-urban households. The system consists …
Published in Journal of Water Resource Engineering and Management · Vol. 13, Issue 2, 2026 · pp. 26–37 Read article
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Experimental and Numerical Assessment of Sustainable Machine Tool Design: A Life Cycle Perspective on Structural Optimization and Energy Performance
Abstract: Machine tools are high-mass, energy-intensive systems with long service lives, contributing significantly to the carbon footprint of manufacturing. Enhancing their sustainability requires integrated structural and energy optimization without compromising functionality, accuracy, or productivity. While sustainable design has been studied broadly, systematic reviews from an experimental and applied mechanics perspective remain limited. This paper reviews sustainable machine tool design through a life cycle lens, emphasizing mechanics-based strategies and assessment methods. Key …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 2, 2026 · pp. 13–39 Read article
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Semantic Similarity Framework for Automatic Hallucination Detection in Large Language Models
Abstract: Large Language Models can generate fluent, contextually appropriate text across a range of NLP tasks, but they frequently produce outputs that are factually wrong while sounding confident and plausible. This problem, referred to as hallucination, poses serious risks in domains where accuracy matters. We propose a post-processing framework that detects hallucinated responses by comparing them against verified reference text using sentence embeddings. The system computes cosine similarity between the response …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 16–22 Read article
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Development of Multilayer Metallic Coatings with Graded Interfaces for Enhanced Wear and Fatigue Resistance in Aerospace Components
Abstract: This study presents a comprehensive investigation into the development and characterization of multilayer metallic coating systems with compositionally graded interfaces, specifically engineered to enhance wear and fatigue resistance in aerospace structural and rotating components. Four coating architectures were systematically designed: (i) CrN/TiAlN bilayer, (ii) TiN/TiAlN/TiAlSiN gradient trilayer, (iii) CrAlN/AlCrN nanolaminate, and (iv) a novel five-layer CrN–TiN–TiAlN–AlCrN–TiAlSiN functionally graded system (FGS). Coatings were deposited via high-power impulse magnetron sputtering (HiPIMS) and …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 13, Issue 2, 2026 · pp. 50–67 Read article
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From Photoreceptors to Photoelectrodes: Integrating Biological Light-Harvesting Mechanisms with Nanostructured Photoelectrochemical Systems
Abstract: The efficient conversion of solar energy into electrical and chemical energy is a major scientific challenge of the twenty-first century. Natural photoreceptors provide valuable models for addressing this challenge because they have evolved highly efficient mechanisms for capturing and converting light energy. Biological systems such as rhodopsins, bacteriorhodopsins, proteorhodopsins, cryptochromes, phototropins, and phytochromes employ chromophore-driven photoinduced electron and proton transfer processes to initiate a wide range of physiological responses, including …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 2, 2026 · pp. 25–33 Read article
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Nanostructure-Induced Thermoelectric Enhancement in Bi2Te3 Nanorod Design, Analysis, and Performance Evaluation
Abstract: Thermoelectric materials capable of efficient energy conversion near room temperature are critical for waste heat recovery applications. In this work, solution-grown Bi2Te3 nanorods were synthesized via a trioctylphosphine-assisted thermal decomposition route, and the influence of surfactant-induced nanostructuring on their thermoelectric properties was systematically investigated. Structural analysis using X-ray diffraction and Rietveld refinement confirmed the formation of rhombohedral Bi2Te3 with the emergence of Bi2Te3–BiTe nanocomposites at higher surfactant concentrations. Electron microscopy …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 2, 2026 · pp. 26–37 Read article
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Artificial Intelligence based Sustainable Decision Intelligence for Climate Action
Abstract: This paper proposes a Sustainable Decision Intelligence (SDI) framework to address the limitations of traditional climate policy through AI-driven analytics. By reviewing literature from 2020–2026, the study examines the impact of Artificial Intelligence (AI) on climate forecasting, energy optimization, and biodiversity monitoring, categorizing these tools into predictive, optimization, and policy intelligence layers. While acknowledging critical hurdles like data bias and computational energy costs, the research argues that integrating AI into …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Thermo-Hydraulic Performance of a Double-Pipe Double-Pass Heat Exchanger using Annular Fins and Graphite-filled Epoxy Composite Tubes
Abstract: Double-pipe heat exchangers remain one of the most widely adopted thermal devices because of their simple construction, operational reliability, and ease of maintenance. Nevertheless, their performance is often constrained by the limited heat transfer area of smooth tubes and the long-term challenges associated with metallic materials, including corrosion, scaling, and structural weight. Recent advances in thermally conductive polymer composites provide an opportunity to overcome these limitations by replacing conventional metals …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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VeriSci—AI-Based Multi-Modal Research Assistant
Abstract: The exponential growth of scientific literature is a major bottleneck for academic researchers who want to efficiently discover, assess, and synthesize relevant scholarly knowledge. Traditional methods of literature review are heavily reliant on manual keyword searching, human screening, and subjective data extraction, making them time-consuming, susceptible to cognitive bias, and less effective as the tidal wave of information continues to grow. To overcome these limitations, this study introduces VeriSci, an …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 2, 2026 · pp. 20–27 Read article
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Energy-Efficient Parallel Computing for Edge Devices: Techniques, Challenges, and Emerging Research Directions
Abstract: Edge computing brings computation closer to data sources, which supports low-latency applications but places substantial demands on energy-constrained and heterogeneous devices. Parallel execution across multicore CPUs, GPUs, FPGAs, and other accelerators can improve responsiveness, but it also complicates scheduling, power management, and resource allocation. This review examines six closely related technique families: energy-aware task scheduling, dynamic voltage and frequency scaling (DVFS), task offloading and resource allocation, artificial-intelligence-based optimization, hardware acceleration, …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 2, 2026 · pp. 35–41 Read article
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A Multimodal AI-Based System for Real-Time Harassment and Violence Detection Using Surveillance Cameras
Abstract: Public safety in urban settings, as these areas are crowded and experience increasing incidents of harassment, verbal abuse, and physical violence. Traditional CCTV surveillance systems heavily rely on human operators who have to continuously monitor the video feeds, which is inefficient and prone to human error. AI-based harassment and violence detection systems automatically monitor public environments in real-time using video and audio analysis. The system is based on a multilayer …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 2, 2026 · pp. 8–21 Read article
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AI-Powered Prompt-to-Production Platform for Automated React Application Generation and Cloud Deployment
Abstract: The proliferation of large language models (LLMs) has fundamentally altered the landscape of automated software engineering. However, a significant “deployment chasm” persists between the generation of code artifacts and their realization as production-grade cloud applications. Traditional workflows are marred by the “DevOps Tax”: the high operational overhead of environment configuration, dependency resolution, and infrastructure provisioning. This paper presents a novel, technically adept architecture that bridges this gap through a unified …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 · pp. 1–16 Read article
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SmartCloud: Extending an AI-Powered Cloud Storage System with Automated S3 Glacier Archiving, SimHash Near-Duplicate Detection, and a Custom-Trained Random Forest Recommendation Engine
Abstract: Cloud storage services have become fundamental infrastructure for both individuals and organizations, yet they continue to charge users for every byte retained without offering any mechanism to automatically reduce that footprint over time. Files accumulate progressively, near-identical document revisions go undetected, and cold data occupies expensive active storage tiers indefinitely. The present work introduces SmartCloud, a fully deployed multi-cloud storage optimization platform that addresses these inefficiencies through four integrated engineering …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 · pp. 36–44 Read article
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CogniLeapAI: An Adaptive Personalized Learning Platform with AI-Powered Content Generation, Active Recall, and Intelligent Study Planning
Abstract: Students today must work through large volumes of academic PDFs with little tooling to support effective learning. Passive reading remains the default approach for most learners, yet it consistently produces poor retention and demands excessive preparation time. This paper presents CogniLeapAI, a web-based platform designed to convert static PDF documents into a closed-loop adaptive learning system. AI requests are routed across four providers (Google Gemini, OpenRouter, LaoZhang, and Kie.ai) with …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 · pp. 45–63 Read article