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2000 articles for “Research” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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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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Design and Implementation of an IoT-Based Smart Lux Level Controller for Intelligent Lighting System
Abstract: In order to improve the automation and effectiveness of lighting systems in smart buildings, this research details the development of a Smart Lux Level Controller based on the Internet of Things (IoT). Using a BH1750 light sensor, the system continually measures the ambient lux levels and instantaneously adjusts the artificial lighting intensity to ensure optimal illumination. An ESP32 microcontroller analyzes sensor data and controls lights using relay switches or dimming …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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A Review on FPGA-Based Automatic Crash Detection and Airbag Deployment System
Abstract: Every year there are many people die or become injured due to car crashes around the world- -these injuries can vary from slight to severe. Airbags prevent car accident related injury and death. In order for the airbag to operate successfully (i.e., airbag to deploy properly, at the right speed, for the right amount of time) there has to be a decrease in the time that it takes to deploy …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 Read article
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Entropy-Based Damage Accumulation in Tribological Systems: A Comprehensive Review
Abstract: This paper reviews classical wear models and entropy-based degradation approaches used for predicting failure in tribological systems. Various wear models, thermodynamic frameworks, and applications of the Degradation Entropy Generation (DEG) theorem are discussed. Friction, which is the primary source of heat generation in tribological contacts, is responsible for material degradation through a variety of irreversible processes. While classical wear approaches have been widely used for wear prediction and life estimation, …
Published in International Journal of Mechanics and Design · Vol. 12, Issue 1, 2026 · pp. 1–12 Read article
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Experimental Investigation on Shear & Flexural Behaviour of GFRP-Reinforced Concrete Beam
Abstract: Reinforced concrete (RC) beams are among the most commonly used structural elements in civil engineeringstructures. However, the long-term durability of conventional steel reinforcement is often affected bycorrosion when exposed to aggressive environmental conditions, which can significantly reduce the servicelife and structural performance of concrete members. In recent years, Glass Fiber Reinforced Polymer(GFRP) bars have emerged as a promising alternative reinforcement material due to their high tensilestrength, light weight, and excellent …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 2, 2026 Read article
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Experimental Investigation on Shear & Flexural Behavior of GFRP-Reinforced Concrete Beam
Abstract: Reinforced concrete (RC) beams are among the most commonly used structural elements in civil engineering structures. However, the long-term durability of conventional steel reinforcement is often affected by corrosion when exposed to aggressive environmental conditions, which can significantly reduce the service life and structural performance of concrete members. In recent years, Glass Fiber Reinforced Polymer (GFRP) bars have emerged as a promising alternative reinforcement material due to their high tensile …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 2, 2026 Read article
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Integrated Telecommunication Systems: Networking,Security, and Emerging Technologies inNext-Generation Communication Networks
Abstract: Integrated telecommunication systems play a crucial role in enabling reliable, high-speed, and scalablecommunication across modern digital infrastructures. This paper presents a comprehensive review ofintegrated telecommunication systems with a focus on networking architectures, security mechanisms,and emerging technologies in next-generation communication networks. It examines the fundamentalcomponents of communication systems, including transmission media, communication channels, andstandardized networking protocols, highlighting their contribution to efficient data exchange andsystem interoperability. The study explores both wired and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 36–45 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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A Machine Learning Framework for Fake News Detection Using Embeddings and Dimensionality Reduction
Abstract: The broad sharing of information throughout human history was greatly accelerated by the emergence of the World Wide Web and the swift rise of social networking platforms such as Facebook and Twitter. Due to the extensive use of social media, users now generate and distribute vast amounts of content at an unprecedented rate, and a portion of this information is inaccurate or detached from factual reality. Automatically classifying a written …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 8–14 Read article
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AI-Based Deepfake Voice Detection Model for Hindi Language
Abstract: Most current research on deepfake voice detection focuses heavily on English or Mandarin, creating a significant security gap for Hindi speakers. To address this, we developed a detection framework specifically tailored for the Hindi language using a lightweight approach: Mel-Frequency Cepstral Coefficient (MFCC) feature extraction paired with an XGBoost classifier. We trained the system on a large dataset comprising over 99,000 real voice samples and roughly 3,800 synthetic samples, each …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 2, 2026 Read article
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A Comprehensive Review of Convolutional Neural Network Architectures and Evolution
Abstract: Convolutional Neural Networks (CNNs) have become a foundational deep learning framework in computer vision because they can automatically extract layered, increasingly complex features directly from raw image data. CNNs use convolutional, pooling, and activation layers to extract spatial patterns from basic edges to intricate object components, drawing inspiration from the human visual cortex. An overview of CNNs’ basic architecture is given in this study, along with an explanation of important …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 32–40 Read article
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Advanced Classification of Diabetic Retinopathy Using GAN and Deep Residual CNN Model
Abstract: Diabetic retinopathy (DR) is a leading cause of blindness worldwide, impacting the largest number of individuals who have diabetes. Early identification of diabetic retinopathy may help to prevent severe effects; however, the very limited availability of labeled datasets, and the possibility of overfitting of the model, presents obstacles to obtaining an accurate diagnosis. In this research, a hybrid deep learning strategy is introduced, where Generative Adversarial Networks (GANs) are used …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 8–16 Read article
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A Study on CNN-Based Image Mosaicing
Abstract: The intricate tapestry of image mosaicing, while a cornerstone of computer vision, has long been constrained by the rigidity of classical, geometry-driven pipelines. Hand-crafted feature detectors and homography estimators, while effective in controlled environments, prove brittle when confronted with the challenges of real-world scenes: significant parallax, dynamic moving objects, repetitive textures, and illumination variance. This work introduces a fundamental paradigm shift, proposing a deep convolutional neural network (CNN) architecture designed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 1–7 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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AI-Driven Predictive Maintenance in Smart Homes: Enhancing Efficiency and Reliability
Abstract: The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has transformed smart homes into intelligent, self-regulating environments. Despite these advancements, ensuring the long-term reliability and efficiency of interconnected devices remains a complex challenge due to device heterogeneity, dynamic usage patterns, and continuous data streams. This study investigates AI-driven predictive maintenance (PdM) as a proactive strategy for detecting early signs of equipment degradation in residential settings. The proposed …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Recent Advances in Analytical and Applied Chemistry: A Comprehensive Review
Abstract: Analytical and Applied Chemistry form the backbone of modern scientific progress, connecting fundamental molecular insights with real-world industrial and societal applications. Over the past decade, these fields have undergone significant transformation, driven by the need for sustainability, precision, and efficiency. This review highlights key advancements in green analytical chemistry (GAC), high-resolution mass spectrometry (HRMS), and the incorporation of nanotechnology into chemical sensing, while also examining their broader implications in applied …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 1, 2026 · pp. 36–41 Read article
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Adaptive Production Scheduling in Multi-Machine Manufacturing Environments
Abstract: For manufacturing processes to meet evolving market demands, they must be executed in the most efficient manner while maintaining flexibility against unanticipated disruptions. Often, traditional scheduling methods overlook dynamic variability and real-time interruptions. An inverse scheduling framework for a multi-machine flowshop system is proposed in this research with the primary objective of makespan minimisation. Several issue situations are analysed to validate the algorithmic efficacy, and metaheuristic techniques are used to …
Published in International Journal of Manufacturing and Materials Processing · Vol. 12, Issue 1, 2026 · pp. 32–42 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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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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Effect of Nano-Fillers on the Mechanical and Fracture Behavior of Polymer Composite Matrices: A Review
Abstract: The modification of polymer composite matrices through the incorporation of nano-scale fillers has become a prominent and highly effective strategy for enhancing mechanical performance, stiffness, and fracture resistance. Unlike conventional micro-scale reinforcements, nano-fillers possess exceptionally high surface area–to–volume ratios and unique physicochemical characteristics that significantly influence interfacial phenomena within the polymer matrix. Materials, such as carbon nanotubes (CNTs), graphene nanoplatelets (GNPs), nano-silica, and layered silicate nanoclays, introduce advanced toughening mechanisms …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 1, 2026 · pp. 31–36 Read article