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648 articles for “implementation”
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AI-Based Image Detection of Rice Crop Diseases Using Deep Learning and Grad-CAM
Abstract: The Indian economy relies heavily on agriculture, and rice is one of the most significant staple crops grown in the country. Nevertheless, rice cultivation faces numerous challenges due to several leaf diseases, such as bacterial leaf blight, brown spot, and leaf smut. These diseases can lead to substantial yield losses and financial burdens for farmers. Therefore, the early detection and classification of these diseases are essential to minimize crop damage …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 Read article
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Intelligent Data Analytics on Cloud Infrastructure:Real-Time Insights and Managed Service Models
Abstract: This paper examines the integration of advanced data analytics and machine learning within modern cloud infrastructure, highlighting how organizations can transform large volumes of unstructured data into actionable business insights that drive competitive advantage. Cloud platforms leverage scalability and elasticity to efficiently process and analyze massive datasets in real time, allowing enterprises to identify hidden patterns, detect operational anomalies early, and generate accurate forecasts of future outcomes. A key factor …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 36–46 Read article
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A Study on Securing the Local Area Network with the Immutable Trust of Blockchain
Abstract: The contemporary Local Area Network (LAN) is the digital circulatory system of the modern enterprise, a vital yet perilously vulnerable ecosystem. Traditional security paradigms, built upon centralized authority models – firewalls, intrusion detection systems, and privileged administrators – increasingly resemble medieval castles in an age of artillery. They present a brittle single point of failure: compromise the center, and the entire kingdom falls. This paper proposes a radical architectural shift, …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 24–35 Read article
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Green Computing Strategies for Reducing Energy Consumption and E-Waste in Modern IT Ecosystems
Abstract: Green computing, also referred to as sustainable computing, addresses the urgent need to reduce the environmental impact associated with the design, operation, and end-of-life management of computing systems. As global reliance on digital technologies continues to expand rapidly, the demand for energy-intensive infrastructure such as data centers, cloud platforms, and network systems has increased significantly. This growth has led to rising energy consumption, higher carbon emissions, and an alarming accumulation …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 7–16 Read article
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CAM Software Selection in Tamil Nadu Manufacturing SMEs using ELECTRE III and Decision Resonance Methods
Abstract: This paper contributes a conceptual framework to guide the strategic alignment of software selection criteria using a new method - Decision Resonance Method and an established method - ELECTRE III within the existing decision theory frameworks. The analysis contributes empirically tested software selection criteria that will improve the categorization of decision implications This study provides input for decision theory extensions related to information, the value of problem structuring, and its …
Published in International Journal of Computer Aided Manufacturing · Vol. 12, Issue 1, 2026 · pp. 40–49 Read article
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Planar-to-Rotary G-code Transformation Via Post-Processing for Discrete 4-Axis Machining
Abstract: Conventional 4-axis CNC machining remains inaccessible to many due to the high costs of industrial hardware and the complexity of firmware modifications for entry-level controllers. This paper presents a software-defined framework that enables Planar-to-Rotary G-code Transformation, allowing standard 3-axis CNC systems to perform discrete 4-axis machining without hardware retrofits or firmware changes. The core of the proposed method is a custom Python-based post-processor that maps Cartesian XZ toolpaths onto a …
Published in International Journal of Computer Aided Manufacturing · Vol. 12, Issue 1, 2026 · pp. 50–66 Read article
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Generative Lightweighting of Actuator-Integrated Robotic Structures Under Decentralized Additive Manufacturing Constraints
Abstract: This study presents the implementation and structural validation of a constraint-driven generative design methodology for the development of lightweight actuator-integrated robotic components fabricated using decentralized additive manufacturing. Building upon a previously formalized constraint-driven framework, the method was applied to the synthesis of a modular robotic link representative of actuator-integrated structural elements commonly used in legged robotic systems. The baseline component was defined to preserve critical functional interfaces, including actuator mounting …
Published in International Journal of Mechanics and Design · Vol. 12, Issue 1, 2026 · pp. 44–60 Read article
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An Energy-Efficient CMOS Analog Front-End for Wearable Biomedical Monitoring Applications
Abstract: Because wearable biomedical monitoring technologies allow for continuous, real-time, and remote measurement of physiological parameters, they are quickly becoming a key component of contemporary healthcare. These systems place stringent demands on the analog front-end (AFE), which must accurately acquire and condition extremely low-amplitude biopotential signals such as electrocardiogram (ECG), electroencephalogram (EEG), and electromyogram (EMG) while operating under severe power and size constraints. This paper presents the design and simulation of …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 12, Issue 1, 2026 · pp. 1–10 Read article
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Bidirectional DC–DC Converter Design and Control for EV Charging Stations with Grid Support Capability
Abstract: The rapid proliferation of electric vehicles (EVs) has intensified the demand for advanced charging infrastructure capable of delivering reliable, efficient, and grid-aware power management. Conventional unidirectional chargers are inadequate for modern smart-grid applications, as they preclude the utilization of stored battery energy for grid support functions. This paper presents the design, mathematical modeling, and simulation-based validation of a non-isolated bidirectional DC–DC buck–boost converter rated at 20 kW for EV charging …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 1, 2026 Read article
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High-Tech Battery Management Systems with Integrated Battery Electronics
Abstract: “Sophisticated BMSs with onboard battery electronics are a paradigm shift in battery technology, sensitive enough to meet the increasing needs of contemporary applications like electric vehicles, renewable energy storage, and portable devices. This paper discusses the architecture and functional aspects of the integrated systems in optimizing performance, safety, and lifespan through real-time monitoring and control of individual cells. Integrating critical electronics directly onto the battery structure, such systems minimize complexity …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 1, 2026 · pp. 21–28 Read article
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Deep Reinforcement Learning-Based MPPT for PV Systems Under Partial Shading: A Hybrid Metaheuristic-Optimized Control Framework.
Abstract: Partial shade and quickly changing environmental conditions make Maximum Power Point Tracking (MPPT) in photovoltaic (PV) arrays particularly difficult. In these situations, traditional algorithms frequently fail to find the global optimum or experience sluggish convergence and steady-state oscillations. To obtain reliable, real-time MPPT under non-uniform irradiance, this research suggests a hybrid control architecture that combines a deep recurrent reinforcement learning (DRL) agent with metaheuristic-based parameter optimization and a digital-twin training …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 35–46 Read article
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AI-Based Noise Reduction Techniques for Digital and Analog Communication Systems
Abstract: Noise is one of the major challenges in modern communication systems because it significantly affects signal quality, transmission efficiency, and overall system reliability. Both digital and analog communication systems are influenced by different types of noise such as thermal noise, impulse noise, quantization noise, atmospheric noise, and channel interference. Conventional noise reduction techniques including filtering, adaptive equalization, and statistical signal processing have been extensively used to improve communication performance. However, …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 40–48 Read article
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Design and Commercial Validation of a Hierarchical Three-Tier Quality GradingSystem for Post-Industrial and Post-Consumer Recycled Thermoplastic Resins in US Industrial SupplyChains
Abstract: Quality grading systems for recycled thermoplastic resins providing industrial buyers with a standardized, documented quality classification framework for secondary raw material procurement are a foundational requirement for the reliable integration of recycled materials into industrial supply chains. Despite this requirement, no standardized grading scale has been established for post- industrial and post-consumer PP, HDPE, and LDPE resins in industrial supply chain contexts. This paper presents the design, operational implementation, and …
Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 2, 2026 · pp. 1–22 Read article
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Hypsometric Analysis of Kumbhi River using Geographical Information System
Abstract: Hypsometric curves and integrals play a pivotal role in analyzing watershed dynamics, particularly in understanding erosion patterns and flood responses. The Kumbhi River Basin exemplifies this complexity, characterized by a blend of consolidated and unconsolidated Quaternary sediments alongside basaltic lava flows. The integration of Geographic Information System (GIS) technology has enhanced the ability to create detailed slope and contour maps, facilitating a comprehensive hypsometric analysis of this watershed.The results of …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 12, Issue 2, 2026 · pp. 1–6 Read article
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A Low-Power Chopper-Stabilized Amplifier forHigh-Resolution Biomedical Signal Acquisition
Abstract: Biomedical signal acquisition systems such as ECG, EEG, and EMG require analog front-end (AFE) circuits capable of amplifying extremely small, low-frequency physiological signals in the presence of noise, interference, and motion-induced artifacts. These signals usually fall within the sub-millivolt range and are highly susceptible to low-frequency noise and amplifier offset. Chopper-stabilized amplifiers offer a compelling solution by suppressing flicker noise (1/f noise) and minimizing input- referred offset, especially for low-frequency …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 1–14 Read article
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Data-Driven Multiscale Design of Nanostructured Composite Materials for Sustainable Engineering Applications.
Abstract: The increasing demand for high-performance, lightweight, and environmentally sustainable materials has accelerated the advancement of nanostructured composite systems in modern engineering. This study develops a comprehensive data-driven framework for the multiscale design and optimization of nanostructured composite materials, with emphasis on the interaction between structure–property relationships across nano-, micro-, and macro-scales. By integrating hybridization strategies with intelligent manufacturing techniques—such as machine learning-assisted modeling and additive fabrication—the research addresses critical limitations …
Published in International Journal of Composite and Constituent Materials · Vol. 12, Issue 1, 2026 · pp. 48–58 Read article
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Synthetic Biology in Industrial Biotechnology for Livestock: Designing and OptimizingNext-Generation Bioprocesses for Sustainable Animal Production and Health
Abstract: Synthetic biology has emerged as a transformative discipline in industrial biotechnology, enabling the rational design and engineering of biological systems for efficient and sustainable production of fuels, chemicals, enzymes, pharmaceuticals, and biomaterials. Unlike traditional genetic engineering, synthetic biology focuses on constructing gene circuits, modular metabolic pathways, and standardized biological parts to precisely control cellular metabolism. Advanced genome editing tools such as CRISPR, combined with computational biology and bioinformatics, allow rapid …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 12, Issue 1, 2026 Read article
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An investigation into the use of nanotechnology in medical-military applications
Abstract: The concept of Nanotechnology's Impact on Battlefield Welfare highlights the field's significant implications for troop safety, health, and recuperation while providing a fresh and innovative perspective on military medical applications. This abstract captures the essence of the profound changes in military medicine that have been made possible by recent advances in nanotechnology. This review examines the wide-ranging and intricate effects on battlefield wellbeing of improved medical treatments utilising nanotechnology. Additionally, …
Published in International journal of Nanobiotechnology · Vol. 12, Issue 1, 2026 · pp. 43–52 Read article
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Synthetic Biology in Industrial Biotechnology for Livestock: Designing and OptimizingNext-Generation Bioprocesses for Sustainable Animal Production and Health
Abstract: Synthetic biology has emerged as a transformative discipline in industrial biotechnology, enabling the rational design and engineering of biological systems for efficient and sustainable production of fuels, chemicals, enzymes, pharmaceuticals, and biomaterials. Unlike traditional genetic engineering, synthetic biology focuses on constructing gene circuits, modular metabolic pathways, and standardized biological parts to precisely control cellular metabolism. Advanced genome editing tools such as CRISPR, combined with computational biology and bioinformatics, allow rapid …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 12, Issue 1, 2026 Read article
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Future-Ready Library Buildings: AI and IoT for Equity and Compliance
Abstract: Libraries are buildings presenting unique challenges when integrating different types of spaces under a single roof, like quiet reading spaces, central lobbies, book staging areas, archival rooms, discussion zones, seminar rooms, e-resources labs, etc. These spaces require specialized norms related to construction and involve varied daylighting requirements, anthropometric needs, indoor air environment requirements, and other specific functional needs. Moreover, libraries must follow various requirements mentioned in relevant IS codes, fire …
Published in International Journal of Sustainable Building Technology · Vol. 9, Issue 1, 2026 · pp. 19–24 Read article