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1309 articles for “Efficiency”
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Securing Smart Electrical Systems through Comparative Analysis of Machine Learning Models for Classification
Abstract: In the realm of cybersecurity, the intersection of technology and security measures has spurred significant advancements, particularly in safeguarding electrical systems against cyber threats. This research delves into the evolving landscape of cybersecurity within electrical systems, leveraging machine learning techniques to mitigate challenges. By incorporating cybersecurity protocols with machine learning algorithms, this study demonstrates enhanced security measures tailored for electrical infrastructures, pivotal in ensuring efficiency and resilience. Through meticulous examination, …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Evolution of Mobile Wireless Generations and the Architectural Foundations of AI-Integrated 6G Networks
Abstract: Wireless communication has moved through five complete technology generations in roughly four decades, and each transition has reshaped how societies exchange information, run businesses, and design cities. This paper is the first instalment of a two-part review and concentrates on the historical arc of that journey, tracing the defining traits, benefits, and shortcomings of 1G through 5G before turning to the architectural groundwork on which sixth-generation (6G) networks are being …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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A Comprehensive Review of AES-Integrated DWT Watermarking Techniques for Image and Video Authentication
Abstract: The exponential growth of digital media production, distribution, and online sharing has intensified the need for reliable mechanisms that ensure image and video authenticity. With the rise of advanced editing tools and deepfake technologies, safeguarding multimedia content from tampering, unauthorized replication, or malicious manipulation has become a critical research challenge. Traditional cryptographic solutions provide confidentiality but fail to maintain post-decryption integrity, whereas watermarking techniques ensure persistent ownership verification but often …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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An Integrated Machine Learning and IoT-Based Framework for Predictive Urban Water Demand Management and Distribution Optimization
Abstract: Abstract Urban water resource management has become increasingly complex due to rapid urbanization, population growth, climate variability, and aging infrastructure. Conventional water management approaches are often reactive, inefficient, and incapable of handling real-time fluctuations in demand and supply. This study proposes an integrated framework that combines machine learning (ML) techniques with Internet of Things (IoT)-based real-time monitoring to enhance water demand prediction and optimize distribution systems in urban environments. The …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 Read article
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An Extensive Analysis of QC's Difficulties & Restrictions
Abstract: QC constitutes a fundamental shift in computational paradigms by exploiting quantum mechanical phenomena namely superposition, entanglement, and interference to achieve computational advantages over classical systems for specific problem domains. Despite significant theoretical progress, the realization of large-scale, fault-tolerant quantum computers remains impeded by a range of intrinsic and technological constraints. This paper offers a thorough & critical analysis of the principal challenges associated with QC, with a focus on de- …
Published in International Journal of Analog Integrated Circuits · Vol. 12, Issue 2, 2026 Read article
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Bluetooth Controlled Car
Abstract: The design and execution of a wireless remote-controlled vehicle that employs Bluetooth technology, generally paired with an Arduino microcontroller, is the focus of this project. The primary aim is to develop a cost-efficient, easily accessible, and user-friendly prototype car, which can be accurately maneuvered in various directions (forward, backward, left, and right) through commands dispatched from a Bluetooth-enabled smart device, such as a smartphone or tablet. In this endeavor, an …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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A Performance Evaluation of Transformer, LSTM, and ARIMA Models for LoadForecastinginIndia'sRenewable-RichSmart Grid
Abstract: India is trying to use renewable energy such as solar and wind to produce extreme and unpredictable fluctuations within India's National Smart Grid. These extreme fluctuations create difficulties for traditional load forecasting methods, including Autoregressive Integrated Moving Average (ARIMA) models, to provide stable and efficient operation through the creation of accurate short-term load forecasts. To accomplish this, the research aims to develop high-quality predictive models by comparing three modelling methods: …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 Read article
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Cloud-Based IoT Monitoring System for Pump Canal Operations: A Case Study of Narayanpur Pump Canal, Mirzapur
Abstract: Abstract The technical paper presents a comprehensive analysis of the Internet of Things (IoT)-based cloud monitoring system deployed at the Narayanpur Pump Canal (NPC), Chunar, Mirzapur, Uttar Pradesh. The system, operationalized in September 2024, provides real-time remote monitoring of 15 critical parameters across 14 pump sets through cloud-based analytics, automated alerts, and intelligent dashboards. The paper evaluates the technical architecture, demonstrated operational benefits – including a documented case of preventing …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 · pp. 49–68 Read article
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Enhancing Facial Expression Analysis Using CNNs: Insights from ML and Deep Learning Comparisons
Abstract: Emotion recognition from facial manifestations increases the interaction between humans and computers by enabling the interaction between humans and computers to effectively explain human feelings. This study presents a comparative analysis of three approaches to the emotional recognition of faces: a custom Convolutional Neural Network (CNN) model, Traditional Machine Learning (ML) methods, and other deep learning architectures such as VGG, ResNet, and Hybrid CNN–RNN models. The proposed CNN-based system, developed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 23–31 Read article
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Vani-Adapt: A Zero-Shot Accent Trans-Adaptation Framework for Robust Indic Speech Recognition
Abstract: In countries like India with multilingual and accent-rich dialects, speech-based human–computer interaction is important to expand digital services for better accessibility. Even with recent advancements in Automatic Speech Recognition (ASR), existing systems are still very reactive to regional accents and non-standard speech patterns which is not suitable for seamless experience. Traditional perspectives rely on accent-specific fine-tuning, which is unrealistic for real-world deployment and requires a lot of labeled data, which …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 17–22 Read article
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Chemical Synthesis Strategies and Reaction Mechanisms in Self-Healing Polymeric Materials: A Comprehensive Review
Abstract: Self-healing polymeric materials are one of the most rapidly growing and technologically transformative classes of smart polymeric materials. Such materials offer the ability to autonomously repair damage and retain & restore functional performance. This capability is very important for polymers, which undergo mechanical failure, micro- cracking, delamination, photo-oxidation, or thermal degradation during service environments. The last decade has been remarkable for developments in self-healing polymers, ranging from extrinsic capsule-based approaches …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 12, Issue 1, 2026 · pp. 26–34 Read article
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Third Generation Biofuel as Alternative Fuel for Compression Ignition Engine
Abstract: In recent years, many researchers have tested compression ignition engines with the goal of creating a diesel fuel alternative. This was also published in literature. The limited supply and increased cost of petroleum products are two main reasons for the search for alternate feedstocks for biodiesel. This paper reviews the potential of alternative biodiesel feedstocks to replace petroleum diesel, specifically focusing on algae biodiesel and the process for producing biodiesel. …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 10–15 Read article
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Optimizing Internal Combustion Engine Performance and Fleet Fuel Economy through Machine Learning and AI using Big Data Analytics
Abstract: This paper presents a software-defined operational intelligence approach for optimizing internal combustion engine performance and fleet fuel economy using Big Data Analytics combined with Machine Learning and Artificial Intelligence. Real-world vehicle data is transformed into engineered features and virtual sensing outputs to estimate fuel consumption, driver behaviour, and component health without additional hardware. The proposed system integrates fuel optimization, predictive maintenance, driver assistance, and sustainability assessment into a unified one-stop …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 35–51 Read article
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A Review on Hybrid Honeycomb Engine Mounts for Vibration Isolation in Variable Compression Ratio Engines
Abstract: The increasing sophistication of modern engine systems has highlighted the importance of advanced vibration control methods. Engines today are required to function under continuously changing operating conditions, particularly in Variable Compression Ratio (VCR) systems, where vibration behavior becomes highly complex, non-linear, and dependent on time. Under such circumstances, conventional engine mounts often struggle to deliver stable and consistent performance. In contrast, hybrid honeycomb structures offer significant advantages due to their …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 29–34 Read article
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Green and Nanotechnology Approaches for the Determination of Tungsten (VI): A Modern Analytical Perspective
Abstract: The determination of tungsten (VI) has gained increasing importance due to its extensive industrial applications and growing environmental relevance. Tungsten is widely used in alloys, catalysts, electronics, and energy systems, leading to its release into environmental matrices such as water, soil, and biological systems. Accurate monitoring of tungsten at trace and ultra-trace levels is therefore essential for environmental assessment and industrial quality control. Conventional analytical techniques, including inductively coupled plasma …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 1, 2026 · pp. 26–35 Read article
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An Overview on Metal Processing using Machine Learning
Abstract: Metalworking, which is an important part of modern industry, includes a wide range of steps, such as shaping and casting the metal, machining it, and riveting it. The industry has always relied on trial and error and other empirical methods, but machine learning (ML) is now causing a big change. It is expected that this change will lead to higher production, better product quality, and better use of resources. The …
Published in International Journal of Manufacturing and Materials Processing · Vol. 12, Issue 1, 2026 · pp. 43–53 Read article
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Comparative Analysis of a G+29 RCC Building under Indian Wind Zones III, IV, and V Using Parametric BIM–FEM Integrated Workflow
Abstract: The increasing demand for high-rise reinforced concrete (RCC) buildings in urban regions has made wind-load assessment an important aspect of structural design. In tall buildings, wind-induced lateral forces significantly affect serviceability performance, structural stability, and occupant comfort. Recent advancements in Building Information Modelling (BIM) and finite element–based structural analysis have improved the efficiency, accuracy, and interoperability of structural design workflows. The present study investigates the comparative wind response of a …
Published in International Journal of Structural Engineering and Analysis · Vol. 12, Issue 2, 2026 Read article
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Design, Development, and Testing of 2-Phase Separator
Abstract: As the pressure vessel operates under high internal pressure, the choice of material and accuracy indesign play a vital role in ensuring its safety and reliability. Proper design is essential because anyfailure in a pressure vessel can lead to serious hazards, financial losses, and operational shutdowns.In compliance with the ASME Code (Section VIII, Division 1) and the process data sheet, this articledescribes how to design a pressure vessel. To guarantee …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 1, 2026 · pp. 29–37 Read article
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COMPUTATIONAL AND EXPERIMENTAL ANALYSIS OF A DOUBLE PIPE HEAT EXCHANGER WITH AND WITHOUT INSERTS USING NANO FLUIDS
Abstract: In applications that need warming procedures, improved heat exchange will also significantly boost heat efficiency and reduce the expense of design and operation. Double tube heat exchangers are best suited for high temperature and high compression applications due to their simplify diameters. Although they are cheap, they disseminate to the other types in a comparatively large amount. A number of approaches were developed to accomplish the required heat transfer rate …
Published in International Journal of Computer Aided Manufacturing · Vol. 12, Issue 1, 2026 · pp. 1–9 Read article
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An Integrated Computer-Aided Approach for Fixture Design and Assembly
Abstract: Fixtures play a crucial role in ensuring dimensional accuracy, productivity, and repeatability in modern manufacturing systems. With the increasing adoption of flexible and computer-integrated manufacturing, there is a growing need for systematic and automated fixture design methodologies. This work presents a computer-aided fixture design and assembly approach that integrates CAD-based modeling, modular fixturing concepts, and virtual assembly techniques. The proposed methodology covers the complete fixture development cycle, including workpiece analysis, …
Published in International Journal of Computer Aided Manufacturing · Vol. 12, Issue 1, 2026 · pp. 24–39 Read article