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1135 articles for “Proposed”
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Advanced Security Mechanisms for AIDL Communication in High-Risk Environments
Abstract: Android Interface Definition Language (AIDL) serves as a critical component for inter-process communication (IPC) in Android systems, facilitating seamless interaction between different application components. However, in high-risk environments, such as military, healthcare, and financial systems, AIDL communication faces significant security challenges, including unauthorized access, data tampering, and privilege escalation. This paper presents a detailed review of the advanced security mechanisms designed to safeguard AIDL communication in such environments. We propose …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 Read article
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Industry 4.0 and Smart Manufacturing: A Review
Abstract: This review looks at Industry 4.0 and smart manufacturing's idea, enabling technologies, implementation issues, and future prospects. Drawing on recent literature, the paper synthesizes key pillars such as the Industrial Internet of Things (IIoT), cyber-physical systems (CPS), artificial intelligence, digital twins, and additive manufacturing. It highlights integration requirements across supply chains, cyber security concerns, workforce implications, and standards activities that influence adoption. The literature survey focuses on empirical studies and …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 2, 2025 · pp. 14–17 Read article
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A Study on Insect Journey using Sensor
Abstract: The orthodox entomologist’s toolkit – the net, the vial, the killing jar – has long rendered its subject’s mute. We have cataloged insects by their form, their pinned and static beauty, but have been largely deaf to the living, breathing reality of their existence. This study proposes a paradigm shift: to listen. By deploying a suite of miniaturized, non-invasive sensors – from accelerometers that trace the micro-vibrations of a beetle’s …
Published in International Journal of Insects · Vol. 2, Issue 2, 2025 Read article
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AI- based Prediction of Misinformation Virality Before Wide Dissemination using Attention-based Multi-modal
Abstract: Misinformation on social media has emerged as a critical global challenge, impacting public health, democratic institutions, and societal trust. While existing research has largely concentrated on detecting misinformation after it begins circulating, predicting its virality before wide dissemination remains an underexplored area, limited work addresses predicting its virality before wide dissemination. This paper presents a conceptual framework using attention-based multi-modal deep learning models to estimate the virality of misinformation posts …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 Read article
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Adapting Traditional Land Use Planning with Smart City Solutions - Case of New Delhi
Abstract: *Author for CorrespondenceMansi SinghEmail: mansi.singh042024@gmail.com1PhD, Department of Planning and Architecture, School of Planning and Architecture (SPA), New Delhi, Delhi, India2Senior Town Planner, Haryana's Town & Country Planning Department, Haryana, India3Environmental Advisor, Environmental Advisor at Green Circle, Gujarat, Vadodara, IndiaReceived Date: August 11, 2025Accepted Date: September 04, 2025Published Date: September 04, 2025Citation: Mansi Singh, Ar. Sanjay Kumar, Akshay. Adapting Traditional Land Use Planning with Smart City Solutions - Case of New …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 24–47 Read article
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User Review-Driven Recommendation Model for E-Scooter Selection
Abstract: In the era of rising environmental awareness and the growing emphasis on sustainable mobility practices, electric scooters (e-scooters) have gained significant popularity as an efficient and eco-friendly alternative to conventional modes of transport. Their ability to reduce carbon emissions, minimize traffic congestion, and offer cost-effective commuting solutions has made them highly attractive, particularly in urban environments. However, with the rapid expansion of the e-scooter market, consumers are faced with an …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 6–16 Read article
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Optimizing Urban Mobility with AI-Based Traffic Management
Abstract: Urban mobility is a pressing concern in modern cities, plagued by issues like traffic congestion and pollution. This research involves, "Optimising Urban Mobility with AI-based Traffic Management", delves into the potential of Artificial Intelligence (AI) to revolutionize traffic management. Focusing on AI algorithms, data analytics, and sensor technologies, the research aims to enhance traffic flow, reduce congestion, and improve overall efficiency. Through statistical analysis and simulations, the research evaluates the …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 34–43 Read article
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Structural Integrity Analysis of Reinforced Concrete Frames Under Progressive Collapse Scenarios
Abstract: This study examines how a tall reinforced concrete (RC) frame may gradually collapse under several column removal situations, such as edge, end, center, zigzag, and two-column failures. The study assesses the structural reaction based on displacement, inter-story drift, and Demand–Capacity Ratio (DCR) using nonlinear static pushover analysis carried out in ETABS. According to the analysis, the frame's stability is seriously jeopardized when two nearby columns and end columns are removed, …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 3, 2025 · pp. 1–15 Read article
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Enhancing Health of Workers in the Water Sector Through Effective Governance, Risk Management, and Environmental Safety Standards
Abstract: The water sector is fundamental to achieving sustainable development, safeguarding public health, supporting economic advancement, and ensuring environmental preservation in any nation. This paper explores how effective governance, comprehensive risk management frameworks, and strict adherence to environmental safety standards can contribute to improving the health and well-being of engineering professionals and workers within the water sector. The research methodology comprises an extensive literature review, detailed case studies, field visits to …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 3, 2025 · pp. 20–30 Read article
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Ethical Considerations in AI-Driven Rehabilitation Robotics: Balancing Innovation and Responsibility
Abstract: Artificial intelligence (AI) is transforming robotics rehabilitation by introducing advanced capabilities such as adaptive therapy, real-time feedback, and personalized assistance, significantly improving outcomes for individuals with neurological and physical impairments. These AI-powered systems offer high levels of precision and consistency in therapy delivery, making them especially beneficial in pediatric and adult rehabilitation settings where engagement and tailored interventions are crucial. However, the integration of AI in healthcare also presents critical …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 24–29 Read article
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Analysis of Die Corner Gap Formation for Strain Hardening Materials in ECAP Through an Upper Bound Sensitivity Approach: A Comparative Study
Abstract: In recent work, using a proposed central composite factorial analysis, the upper-bound theorem's theoretical concept for the equal channel angular pressing process are used. The upper-bound theorem-based theoretical solutions consider Tresca friction conditions and varied fillet radii at the die channel junction. When using AA5083's uniaxial mechanical properties, isotropic nonlinear work hardening is assumed. The ratio of the cumulative effective plastic strain to the time generated by the deformation zones, …
Published in Trends in Machine design · Vol. 12, Issue 3, 2025 · pp. 1–22 Read article
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Eco-Design Approaches in Modern Machine Tool Construction
Abstract: In the contemporary landscape of manufacturing, sustainability is no longer optional; it is imperative. Within this context, machine tool construction presents a unique set of challenges and opportunities: these heavy, energy-intensive pieces of capital equipment operate across long lifecycles, consume substantial embodied energy and materials, and eventually require disposal or remanufacture. This study explores eco-design approaches tailored specifically to modern machine tools, covering the full lifecycle from material sourcing and …
Published in Trends in Machine design · Vol. 12, Issue 3, 2025 · pp. 23–29 Read article
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A Retrospective Study to Assess the Incidence of Anaemia Among Pregnant Women Admitted in a Tertiary Care Centre, Jalandhar, Punjab
Abstract: Background: Anemia during pregnancy is a common and preventable condition that contributes significantly to adverse maternal and neonatal outcomes, including preterm delivery, low birth weight, and increased maternal morbidity. Despite the implementation of various national health programs in India, the burden of anemia among pregnant women remains high, particularly in rural regions. Objective: To assess the incidence and severity of anemia among pregnant women admitted to a tertiary care center …
Published in International Journal of Women's Health Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 38–42 Read article
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AI-Enabled Feedback Management for Enhancing Education
Abstract: Institutions are becoming more aware of the importance of student input in improving learning experiences in the current educational environment. However, the intricate and complex patterns found in this feedback are frequently missed by conventional techniques like manual reviews and simple statistics. Our proposal suggests a novel method for analyzing student input and more accurately predicting sentiment by utilizing Long Short-Term Memory (LSTM) algorithms. We can learn more about student …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 21–27 Read article
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Smart Patient Monitoring and Motion Tracking System
Abstract: The integration of smart technologies in healthcare has revolutionized patient monitoring and diagnostics. This paper presents a Smart Patient Monitoring and Motion Tracking System designed for hospitals, leveraging EEG (Electroencephalogram) signals to track patient movements and monitor neurological health. The proposed system combines motion tracking with real time EEG signal analysis to enhance patient safety, especially for individuals prone to seizures, neurological disorders, or other mobility-related risks. The system employs …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 2, 2025 · pp. 9–23 Read article
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A Smart Stove System for cooking food: A study
Abstract: Traditional cooking methods often suffer from inconsistencies, safety concerns, and a lack of real- time feedback, leading to suboptimal culinary results, potential hazards, and inefficient energy consumption. This paper introduces the design and implementation of an innovative Smart Stove System engineered to address these challenges comprehensively. Leveraging Internet of Things (IoT) principles, the system integrates an array of precise sensors (e.g., temperature, flame/gas detection, weight) with a sophisticated microcontroller, smart …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Deploying Fuzzy Logic for Self-Tuning Regulator Design for Motion Control in Modern Electrical Machines
Abstract: Modern electrical machines require sophisticated motion control systems capable of adapting to varying operating conditions, load disturbances, and parameter uncertainties. Traditional self-tuning regulators (STR) based on classical control theory often struggle with nonlinearities, time-varying dynamics, and complex operational environments characteristic of contemporary electric drives. This article presents a comprehensive framework for deploying fuzzy logic in self-tuning regulator design to address these challenges in motion control applications. Fuzzy logic controllers leverage …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 11–21 Read article
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A Review of Torque Ripple Reduction Techniques in Switched Reluctance Motors
Abstract: Switched Reluctance Motors (SRMs) have emerged as a promising alternative to conventional motor technologies due to their rugged structure, low manufacturing cost, high-temperature capability, and suitability for harsh environments. Despite these advantages, the widespread adoption of SRMs in applications such as electric vehicles, household appliances, industrial drives, and aerospace systems is significantly restricted by the issue of torque ripple. Torque ripple manifests as periodic fluctuations in the developed electromagnetic torque, …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 45–50 Read article
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Early Alzheimer's Disease Detection Using Deep Ensemble Learning and MRI Image Analysis
Abstract: Early detection of Alzheimer's disease (AD) is crucial to slowing cognitive decline and enabling timely clinical interventions. Traditional diagnostic methods, including cognitive tests and single-model classifiers, have limited sensitivity during early stages of the disease. This paper presents a deep ensemble learning approach that integrates multiple convolutional neural networks (CNNs) for accurate Alzheimer's disease detection using structural Magnetic Resonance Imaging (MRI) data. The proposed framework utilizes ResNet50, VGG16, and DenseNet121 …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
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Machine Learning-Driven Polymer Composite Smart Skin for Integrated Sensing in Soft Robotic Systems
Abstract: Soft robotics has grown rapidly, but its progress is still constrained by the limitations of current sensing skins. Most polymer-based sensors provide either flexibility or sensitivity, yet they struggle to deliver real-time communication and adaptive intelligence when deployed in complex robotic environments. This disconnect between material performance and system-level responsiveness forms a critical bottleneck for practical deployment. Existing approaches often treat tactile sensing and wireless communication as separate problems. As …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 121–136 Read article