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546 articles for “data processing efficiency”
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Synthesis of Magnetically Recoverable Nickel (II) Complex-Functionalized Fe 3 O 4 @ISNA (ISNA= Isonicotinic acid) Nanomaterials: Catalytic Studies on Nitrophenol Reduction and TD- DFT Studies
Abstract: In this study, we aimed to develop a novel, environmentally sustainable, and magnetically separable heterogeneous nanocatalyst, denoted as Fe 3 O 4 @ISNA@NiL (where L represents the ligand). The synthesis involved a two-step process, first, isonicotinic acid was chemically grafted onto the surface of iron oxide nanoparticles (Fe 3 O 4 ) to introduce functional groups capable of further chemical modification. Subsequently, a nickel(II) Schiff base monomeric complex was anchored …
Published in Journal of Polymer & Composites 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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Low-Power Reconfigurable Digital Filter Design Using FPGA for IoT Edge Devices
Abstract: The rapid evolution of the Internet of Things (IoT) has led to an exponential increase in the deployment of edge devices that continuously process real-time sensor data under strict power, latency, and computational constraints. Digital filtering remains a critical operation in these devices, supporting tasks such as noise removal, data conditioning, and feature extraction for intelligent decision-making. However, conventional filter implementations on microcontrollers or fixed digital signal processors often struggle …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 23–34 Read article
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Automated Healthcare Support System with AI
Abstract: The Automated Healthcare Support System with Artificial Intelligence (AI) presents a smart and scalable digital solution aimed at improving the accessibility and efficiency of healthcare services. The system is designed to provide preliminary medical guidance, perform symptom-based analysis, and deliver health-related insights through an intuitive user interface. By enabling early identification of potential health conditions, it assists users in determining the necessity of professional medical consultation. The proposed platform utilizes …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article
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An Overview of Smart Attendance System and Communication system
Abstract: Our attendance is made more sophisticated and self-controlled by using "the smart attendance system (SAS)," which is the topic of this paper. It has an innovative QR scanner technology that makes the process accurate and simple. The system operates efficiently, saving us time and requiring less labor to maintain attendance. Previous versions of the monitoring system had problems locating students and required a tedious manual attendance method. Thanks to developments …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 2, 2023 · pp. 12–17 Read article
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A Hybrid Multi-Physics Ensemble Deep Learning Framework for Simultaneous Prediction of Thermal and Electrical Conductivity in Functional Polymer-Based Nanocomposites
Abstract: Polymer-based nanocomposites have become promising materials for applications in energy storage, flexible electronics, biomedical devices, aerospace components, and advanced engineering because of their tunable thermal and electrical properties. Reliable prediction of these properties is essential for accelerating material design; however, existing analytical models and conventional machine learning techniques often fail to represent the complex interactions among filler characteristics, polymer matrices, processing conditions, and interfacial transport phenomena. This work presents HMEP-Net, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1062–1082 Read article
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Au@Sio2@PVP-DCMD Membranes: A Breakthrough in Heavy Metal Removal and Antibacterial Defense
Abstract: This study investigates the development and characterization of multifunctional gold-doped silica (Au@SiO₂) membranes for water distillation and antibacterial applications. The manufacturing process integrated gold nanoparticles into silica matrices using sol-gel techniques. Structural analysis was conducted using SEM (showing uniform pore distribution with an average pore size of 40-50 nm), FTIR (confirming Si-O-Si and Si-Au-Si bonding peaks at 525 cm⁻¹ and 1310 cm⁻¹ respectively), EDX (revealing gold nanoparticle content of 1.5 …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 13–27 Read article
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An Overview of New Coastal Research Vessel (N-CRV) Dry Dock and Construction
Abstract: A New Coastal Research Vessel (N-CRV) is a specialized ship designed for scientific research in fields like oceanography, geology, biology, and atmospheric studies, equipped with specific facilities and accommodations for sea missions. This paper discusses the coastal research ship dry-dock, construction, and design process, which involves three stages: concept, preliminary, and contract design. N-CRV must utilize scientific cruise, Exclusive Economic Zone (EEZ) survey, deployment, data collection, and seawater sample collection …
Published in Journal of Offshore Structure and Technology · Vol. 11, Issue 3, 2024 · pp. 1–11 Read article
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Enzyme Stability Prediction using BERT and CNN-A Deep Learning Approach for Enhanced Biocatalysis
Abstract: An important factor in determining the efficacy of industrial enzymes used in various biotechnological applications is their stability. The goal of this study is to develop a predictive model for industrial enzyme stability, which is essential to the efficiency of these enzymes in biotechnological applications. The research takes a comprehensive strategy to comprehend the parameters affecting enzyme stability by combining statistical analysis, deep learning algorithms (BERT and CNN), and molecular …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 2, 2024 · pp. 19–35 Read article
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Interpretable Skin Cancer Detection via Optimized CNN Models for Smart Healthcare Solutions
Abstract: Skin cancer is a common and potentially life-threatening condition, highlighting the importance of reliable and efficient diagnostic techniques. Recently, convolutional neural networks (CNNs) have demonstrated significant potential in automating the classification of skin cancer using thermoscopic images. Despite these advancements, the lack of interpretability in these models poses a barrier to their widespread use in clinical settings. In this study, we propose an interpretable CNN architecture optimized for skin cancer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 41–45 Read article
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Android Voting System Using Face Recognition
Abstract: This work investigates a novel authentication approach for online voting systems that includes facial recognition verification. The goal is to create an automated voting system that increases election security and voter convenience. Voters prefer to cast their ballots in designated areas, such as polling booths, resulting in long lines and the majority of people missing out on the chance to vote. Ineligible voters may potentially fabricate their ballots, generating a …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 1, 2024 · pp. 15–20 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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Intelligent Earth: AI As A Catalyst For Climate Action
Abstract: Artificial Intelligence (AI) is assuming an increasingly influential role in climate science, providing advanced tools capable of interpreting vast, complex, and multi-dimensional environmental datasets. Traditional climate modeling approaches, while grounded in physical principles, frequently struggle to deliver high-resolution, real-time, and region-specific forecasts because of heavy computational demands, incomplete observations, and uncertainties in representing small -- scale processes. Artificial intelligence (AI) techniques, especially machine learning and deep learning, provide strong substitutes …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 48–52 Read article
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Ferroelectric Materials for Next-Generation Non-Volatile Memory Applications
Abstract: The continuous scaling of conventional memory technologies is increasingly constrained by limitations in power consumption, speed, endurance, and integration density. As data-intensive applications such as artificial intelligence, Internet of Things, and edge computing demand fast and energy-efficient memory solutions, alternative non-volatile memory technologies have gained significant attention. Ferroelectric materials, characterized by their reversible spontaneous polarization, offer a promising pathway toward next-generation non-volatile memory due to their intrinsic non-volatility, low operating …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 1, 2026 · pp. 1–9 Read article
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Design and Development of a Smart Automated Packaging System for Poultry Drumsticks
Abstract: The present work aims to design and implement an automated packaging system for poultry drumsticks that enhances operational efficiency, product quality, and adaptability. The integrated system offers a solution that complies with industrial quality and safety standards by sorting products, getting accurate weighing, and efficiently portioning food into 1-kilogram standardized units. By effectively reducing human involvement, operational inefficiencies, workforce requirements, and contamination hazards, the automation system becomes sufficiently adaptable to …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 Read article
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**Innovation and Quality Assurance in School Management: A Research Study on Indian Schools in the Context of NEP 2020**
Abstract: The quality of school education is strongly influenced by the efficiency and vision of school management practices. In today’s rapidly changing educational landscape, schools are expected to perform responsibilities that extend beyond routine administration. They must ensure academic excellence, learner well-being, value- based education, inclusion, transparency, and accountability to parents and society. However, many schools still function through traditional management patterns that focus mainly on record-keeping, examination routines, and compliance …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 1, 2026 Read article
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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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Traversal Speed Comparison of BFS and DFS in Balanced and Skewed Binary Trees
Abstract: In this paper, we provide an analysis of how well both breadth-first search (BFS) and depth-first search (DFS) algorithms perform while wandering through two kinds of binary trees: balanced and skewed. The research was motivated by the practical application of storing files and directories in a certain type of parent-child relationship through the use of hierarchical file systems (e.g., windows explorer). The result of measuring how fast and versatilely these …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 2, 2026 Read article
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Polymer Composite-Enhanced Anaerobic Digestion of Kitchen Waste for Optimised Biogas Production: Process Design, Parametric Study, and Simulation Analysis
Abstract: There is an urgent need for decentralised sustainable biogas production from organic waste due to the rising amount of food waste in cities. The application of polymer composite material including HDPE tanks, PVC pipes, and FRP secondary containment systems presents a promising option compared to conventional MS digester fabrication in terms of durability, excellent thermal insulation capability, light weight, and easier installation. This study explores the possibility of adopting a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 803–818 Read article
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A Review on Integrated Acoustic Emission and Piezoelectric Sensing for Real-Time Damage Characterization of Polymer Composite-Enhanced Concrete: Advances, Challenges, and Future Perspective
Abstract: Polymer composite reinforced concrete has been identified as an efficient material system that can enhance the mechanical properties, durability, and service life of modern structures. The combination of fiber reinforced polymers (FRPs), polymer modifiers, and hybrid composite reinforcements increases structural effectiveness. However, these systems are still vulnerable to damage processes, including matrix cracking, fiber breaking, interfacial debonding, and delamination. Thus, there is a need for structural health monitoring (SHM) strategies …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 930–939 Read article