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272 articles for “adjustment”
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Green AI-Enabled Opto-Electronic Communication Systems for Carbon-Neutral Digital Networks
Abstract: The rapid expansion of digital communication infrastructure, driven by cloud computing, Internet of Things (IoT), 6G networks, and artificial intelligence applications, has significantly increased the energy consumption and carbon footprint of modern communication systems. Conventional optical communication networks often rely on static resource allocation and energy-intensive signal processing mechanisms, resulting in inefficient utilization of network resources and elevated operational costs. This study proposes a Green Artificial Intelligence (Green AI)-Enabled Opto-Electronic …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 2, 2026 Read article
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Academic Performance and Its Associated Factors Among Pawe Health Science College Students in Benishangul-Gumuz Regional State, North-West Ethiopia
Abstract: Background: Academic performance can be defined as the degree to which a teacher, an institution, or a student meets short-term or long-term learning objectives. Continuous assessments and the student’s overall cumulative grade point average (CGPA) are typically used to measure academic achievement. Objectives: To assess academic performance and its associated factors among students, in the case of Pawi Health Science College, Benishangul-Gumuz Regional State, North-West Ethiopia, 2025. Methods: An institution-based …
Published in Journal of Nursing Science & Practice · Vol. 16, Issue 1, 2026 · pp. 24–35 Read article
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Integrate AI and IoT to Develop Sustainable Polymer Structural Materials Processing Optimization: Enabled Monitoring Strategies for Performance and Lifecycle Assessment
Abstract: The need for long-lasting structural polymer materials that are both environmentally friendly and highly mechanically effective is driving demand for these materials as the industrial sector continues to grow. Optimizing processes, saving energy, detecting faults, and monitoring structures are all hindered by conventional polymer manufacture. This study suggests an AI-IoT system for environmentally friendly production of structural polymer materials to get around these problems. Tools for evaluating system performance and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 169–192 Read article
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Automatic Car Controller Based on Sign Board using Deep Learning and IOT
Abstract: The rapid growth of intelligent transportation systems has increased the demand for safer and more efficient driving solutions. Conventional vehicles often rely heavily on human intervention, which can lead to accidents due to negligence, fatigue, or poor visibility of traffic signs. This project proposes an automated car control system that utilizes deep learning and Internet of Things (IoT) technologies to recognize traffic signboards and respond accordingly. The primary objective is …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 2, 2026 Read article
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AI-Based Outfit Rating and Suggestion System
Abstract: The increasing demand for personalised fashion advice in the digital era has highlighted the need for intelligent, automated styling solutions. The AI-Based Outfit Rating and Suggestion System is a web- based platform that assists users in evaluating and improving their clothing choices through intelligent image analysis. Unlike conventional fashion applications that merely identify garment categories or suggest purchases, this system performs a holistic assessment of complete outfits by analysing colour …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, 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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Chlorophyll-Mimicking Ti₃C₂Tₓ MXene-Conjugated Polymer Nanocomposites: Nature-Inspired Exciton Funneling Architecture for Ultrahigh Photon-to-Electron Conversion in Organic Solar Cells
Abstract: Green plant photosynthetic machinery is one of the most efficient natural systems for harvesting solar energy and converting it into useable electronic charge. Specifically, chlorophyll molecules in the Light-Harvesting Complex II (LHC-II) achieve nearly unity quantum yield via a well-organized Förster Resonance Energy Transfer (FRET) mechanism that enables excitons to migrate towards reaction centers. This study presents a bio-inspired nanocomposite architecture using two-dimensional Ti₃C₂Tₓ MXene nanosheets functionalized with chlorophyll-mimicking porphyrin …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 114–130 Read article
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Sustainable Carbon Materials for Catalysis, Energy Conversion, and Environmental Remediation
Abstract: Among the most ancient and adaptable materials used by humans, carbon finds use in a wide range of industries, including electronics, energy production, medicine, water purification, air filtration, and catalysis. Among them, activated carbon's highly developed microporous structure, remarkably large specific surface area, and adjustable surface functions have drawn a great deal of attention from both science and industry. Activated carbon materials have been widely used as molecular sieves, adsorbents …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 2, 2026 · pp. 47–52 Read article
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Effect of Blunt Truncation in an Aerospike Nozzle
Abstract: Aerospike nozzles are gaining attention as a more advanced alternative to conventional bell nozzles, mainly because they can perform efficiently across a wide range of altitude conditions. Unlike traditional converging–diverging nozzles, aerospike designs naturally adjust to changes in ambient pressure, allowing the exhaust flow to expand more effectively. This results in better thrust performance under varying operating conditions, making them a strong candidate for future aerospace propulsion systems. In this …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Solar Panel Defect Detection Using Geospatially-Aware Deep Learning framework
Abstract: Large-scale photovoltaic (PV) systems demand reliable inspection techniques to maintain efficiency, as manual methods remain labor-intensive and inconsistent. This study introduces a geospatially informed deep learning framework for defect detection and localization in PV panels from drone and satellite imagery. The framework incorporates an adaptive tiling mechanism that adjusts tile boundaries according to object size, reducing information loss and enhancing detection performance. In addition, coordinate transformation between image pixels and …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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Prediction of Mechanical Properties for Advanced Engineering Applications utilizing Polymer Composite Materials by Machine Learning
Abstract: Polymer composites show great promise as engineering materials because of their mechanical performance, resistance to corrosion, lightweight nature, and adaptability in design. Aerospace, automotive, biomedical, maritime, and civil engineers all rely on mechanical property prediction to cut down on trial expenses, expedite product development, and optimize material selection. Speedy design optimization is not possible using traditional numerical and experimental methods due to the high costs associated with material characterisation, computational …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Crop Metabolism: A Biochemical Perspective on the Synthesis of Key Biomolecules and Structural Adaptations
Abstract: Crop metabolism involves intricate biochemical pathways that govern the biosynthesis of essential biomolecules, ensuring growth, development, and adaptability in various environmental conditions. Key processes include the synthesis of nucleic acids, amino acids, proteins, carbohydrates, organic acids, lipids, and natural products, each playing vital roles in maintaining cellular homeostasis. Nucleic acids drive genetic information storage and transfer, while amino acids and proteins form the backbone of enzymatic and structural cellular functions. …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 1, 2025 · pp. 26–31 Read article