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1112 articles for “system efficiency enhancement”
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Advances in Membrane Technology: A Comprehensive Review of Materials, Processes, and Applications
Abstract: Membrane technology has become a critical platform for sustainable separation processes across water treatment, energy generation, chemical processing, and healthcare. Over recent decades, advances in materials, fabrication methods, and process design have dramatically expanded the performance, efficiency, and applications of membrane-based systems. Polymeric membranes dominate the industry due to cost-effectiveness and scalability, while ceramic, metallic, and composite membranes offer enhanced thermal and chemical resistance for specialized environments. Nanostructured and bio-inspired …
Published in International Journal of Membranes · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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From High-Resolution Optics to High-Bandwidth Telemetry: The Evolution of Deep-Space Imaging Satellites
Abstract: The development of deep space imaging satellites has significantly enhanced satellite communication and space exploration capabilities. Earlier satellite systems relied on low-resolution imaging and conventional radio-frequency (RF) communication, which limited data transmission rates and image quality. With advancements in technology, modern satellites are equipped with high-resolution optical systems capable of capturing detailed images of celestial bodies. Furthermore, the introduction of high-bandwidth telemetry systems, such as Ka- band and optical (laser) …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 1, 2026 · pp. 34–40 Read article
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A Streamlined, Integrated Academic Management Portal for Faculty Access
Abstract: In today's rapidly evolving educational scene, increasing productivity and improving educational outcomes depend on the efficient management of academic resources and administrative responsibilities. This project proposes a streamlined and integrated academic management portal to provide faculty members with efficient access to required tools and resources. It is now possible for faculty to utilize a simplified integrated academic management portal. The site for managing attendance and marks is run by faculty …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 1–6 Read article
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Data-driven Approaches to Mineral Resource Management Using AI: A Brief Review
Abstract: The role of Artificial Intelligence (AI) in the mineral resource sector has become increasingly significant over the past few years, as industries seek to optimize and modernize their operations. AI encompasses a variety of technologies and techniques, such as machine learning, deep learning, and expert systems, that are now widely used in mineral exploration, resource estimation, and mine management. These AI-driven approaches have brought about a transformative shift, enhancing efficiency, …
Published in International Journal of Minerals · Vol. 2, Issue 1, 2025 · pp. 25–29 Read article
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Enhancing Farm Efficiency with IoT-Driven Real-Time Monitoring and Analysis
Abstract: This project proposes an Internet of Things (IoT) solution for enhancing agricultural practices by leveraging real-time data monitoring and analysis. The system utilizes NodeMCU, DHT11, pH sensor, soil moisture sensor, and an LCD display for data collection and visualization. NodeMCU facilitates internet connectivity, enabling the transmission of data to the ThingSpeak platform. Temperature and humidity are measured by the DHT11 sensor, and soil acidity is tracked by the pH sensor. …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 2, 2024 · pp. 9–15 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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High-Performance Polymer Composite Membranes for Selective Ion Transport in Advanced Energy Conversion Systems
Abstract: The development of high-performance Polymer Composite Membranes (PCM) with enhanced ion transport is essential for Polymer Electrolyte Membrane Fuel Cells (PEMFC). However, low-humidity conditions and filter agglomeration still limit long-term membrane stability. This research designs a functionalized PCM integrating cross-linked Poly (Vinyl Alcohol)/Poly (Ethylene Glycol) (PVA/PEG) matrix with sulfonic acid functional groups and Titanium Dioxide (TiO₂) nanofillers to improve selective ion transport under low-humidity conditions. Two types of PCM were …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 724–736 Read article
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Web-Based Placement Management System: A Digital Approach to Campus Hiring
Abstract: Web-based management system for placement is a complete digital platform focused on optimizing and automating the activities of campus recruitment. Placement activities are generally manual in nature and require a lot of work, which brings about inefficiencies and time lags involving students, recruiters, and placement coordinators. Such challenges are faced by the above-mentioned system that provides a single point of convergence for all students and employers, as well as coordinators, …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 18–29 Read article
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An Expected Cardiovascular Disease Detection Using Deep Learning Techniques
Abstract: Many avoidable deaths globally are caused by CVD, often due to individuals remaining unaware of their risk factors until severe symptoms, such as heart attacks or strokes, appear. This study utilizes retinal images as the dataset to explore the potential of retinal imaging as a non-invasive diagnostic tool for early detection of cardiovascular diseases (CVD). The delay in diagnosis and treatment highlights the need for sophisticated diagnostic instruments that can …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 Read article
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Advanced AI based Energy Monitoring and Demand Prediction with Theft Detection
Abstract: This paper presents a study on an AI-based energy management system, which is designed for real-time monitoring of energy consumption for theft detection and energy demand prediction. Our energy management system has voltage and current sensors for energy consumption measurement and provides real- time data on voltage (V), current (mA), and energy units. We have implemented Machine Learning algorithm SVM to improve the process of theft detection by identifying anomalies …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 1, 2026 Read article
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Grey Water Recycling
Abstract: Domestic grey water recycling and reuse in residential buildings have been comprehensively examined. It is estimated that recoverable grey water can account for approximately 35% to 40% of total household water demand, highlighting its substantial potential to reduce freshwater consumption in domestic settings. A comprehensive worldwide review of grey water recycling and reuse practices has been reported, highlighting the increasing importance of sustainable water management in both developed and developing …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 69–77 Read article
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Innovative Technologies for Sustainable Dairy Development: Implications for Improved Efficiency, Resource Utilization and Environmental Footprints
Abstract: This study explores innovative technologies in dairy farming aimed at enhancing sustainability through improved efficiency, optimized resource utilization, and reduced environmental footprints. As global demand for dairy products increases, the need for sustainable practices has become paramount, particularly in regions where agricultural systems face environmental and resource constraints. The paper examines a range of cutting- edge technologies, including precision feeding systems, genomic selection, automated health monitoring, and waste management solutions. …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 Read article
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Hybrid Quantum-Classical Reinforcement Learning Enabled Thermal-Aware Electronic Design Automation Framework for Energy-Efficient Next-Generation VLSI Systems Applications
Abstract: Modern Very Large-Scale Integration (VLSI) systems are becoming more complicated, which has increased need for sophisticated Electronic Design Automation (EDA) frameworks that can concurrently optimise thermal behaviour, power consumption, and performance. This study proposes a Hybrid Quantum-Classical Reinforcement Learning (HQCRL) Enabled Thermal-Aware EDA Framework for next-generation energy- efficient VLSI systems. The proposed framework integrates quantum-inspired optimization techniques with classical reinforcement learning algorithms to address the challenges of placement, routing, and …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 Read article
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Webpage Extraction and Retrieval Chatbot
Abstract: Web scraping is a fundamental technique for automating data extraction in big data applications. While multiple implementations exist, few leverage Python’s Beautiful Soup library for efficient and structured data retrieval. This project aims to develop a web scraper and retrieval system that extracts relevant information from web pages, stores it in a vector database (Milvus), and enables intelligent querying using semantic search and generative AI. The system is designed to …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
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Emerging Trends in Civil Engineering: Sustainability and Digital Transformation
Abstract: Civil engineering has long played a pivotal role in shaping society’s infrastructure, focusing traditionally on construction, design, and the structural integrity of buildings, roads, and bridges. However, recent years have witnessed a profound transformation in the field, driven by the urgent need for sustainable practices and the rapid evolution of technology. This paper provides an in-depth analysis of the latest trends that are redefining civil engineering, with a particular emphasis …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 8–11 Read article
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Polymeric Hybrid Systems Engineered with Multiple-Stage Energy Absorption for Temperature Control
Abstract: Polymer–composite based phase change systems offer an effective strategy for adaptive thermal management; however, most existing systems exhibit single-stage latent heat transitions, limiting their applicability in environments with fluctuating thermal loads. In this study, a thermoplastic polyurethane (TPU) polymer matrix was reinforced with two microencapsulated paraffin-based phase change materials (PCM-A and PCM-B) to achieve multi-level latent heat storage behavior. The fabricated TPU/PCM-A10–B20 polymer–composite demonstrated two distinct endothermic transitions at approximately …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 146–155 Read article
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AI-Based Intelligent Traffic Signal Management System: A Review
Abstract: Traffic congestion is a growing problem in urban areas worldwide, leading to economic losses, increased pollution, and commuter frustration. Traditional traffic management systems rely on fixed timing cycles and lack adaptability to real-time traffic conditions. Intelligent traffic light control systems based on artificial intelligence (AI) have become a viable substitute for traditional techniques. These systems are able to evaluate large volumes of traffic data in real time, identify patterns, and …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article
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VLSI Based Traffic Light Controller
Abstract: This study details the development and realization of an advanced traffic light control system utilizing VHDL (Very High-Speed Integrated Circuit Hardware Description Language) in conjunction with FPGA (Field Programmable Gate Array) technology. The system is designed to regulate a four-way intersection, with one primary high-traffic road intersecting with a less congested side road. To enhance traffic efficiency and minimize idle times, the model incorporates intelligent features such as a vehicle …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 2, 2025 · pp. 40–47 Read article
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Integration of Biosensors in Robotic Systems for Enhanced Environmental Monitoring
Abstract: Biosensors are analytical devices that use biological components, such as enzymes, antibodies, or nucleic acids, to detect specific chemical or biological substances. They have shown great potential in various fields, particularly in environmental monitoring, due to their sensitivity, specificity, and ability to provide real-time data. Integrating biosensors with robotic systems combines the strengths of both technologies, allowing for efficient data collection in remote, hard-to-reach, or hazardous environments. This integration enables …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 3, 2024 · pp. 38–49 Read article
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Systematic Review of Application of Nature-Inspired Algorithms for Resource Optimization in Multi-Programmed Operating Systems
Abstract: Multi-programmed operating systems are increasingly confronted with complex challenges in efficiently managing system resources, primarily due to the need to handle numerous concurrent processes with diverse and often conflicting resource demands. As these systems evolve, ensuring optimal performance across various dimensions, such as CPU scheduling, memory allocation, and load balancing, has become crucial. In this context, nature-inspired algorithms have emerged as promising solutions for enhancing resource optimization. These algorithms, which …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 08–14 Read article