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126 articles for “artificial intelligence (AI)”
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Improved Programming Model Using AI: Shifting from Imperative Coding to Declarative Intent
Abstract: The contemporary software development lifecycle is burdened by significant cognitive friction, characterized by high demands for syntax recall, boilerplate management, and painstaking manual debugging. This paper proposes and examines a novel programming model built upon deeply embedded artificial intelligence, moving beyond simple code completion tools to establish a truly intent-based, declarative development environment. The proposed model leverages specialized large language models and domain-specific generative agents (Cognitive Programming Assistants, or CPAs) …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 2, 2025 · pp. 1–9 Read article
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CyberSentinel: A Proposed Hybrid AI Framework for Real-Time Cyber Threat Intelligence
Abstract: Modern cyberattacks have grown far more sophisticated, frequent, and fast-moving than the signature-based intrusion detection systems many organizations still rely on. This paper proposes CyberSentinel, a hybrid artificial intelligence framework for real-time cyber threat intelligence (CTI) that combines three complementary techniques into a single detection pipeline: a Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) module for network traffic anomaly detection, a Random Forest ensemble for structured log classification, and a transformer-based …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 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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Leveraging Artificial Intelligence for Traffic Flow Optimization: A Case Study Approach
Abstract: AbstractTraffic congestion poses a significant challenge in urban environments, contributing to economiclosses, increased fuel consumption, environmental pollution, and diminished quality of life. Traditionaltraffic management approaches, such as pre-timed traffic signals and manual interventions, often failto adapt dynamically to fluctuating traffic conditions. This study explores the integration of artificialintelligence (AI) in traffic management to optimize traffic flow and reduce congestion. By leveragingAI-driven predictive models, deep reinforcement learning, and real-time traffic data, …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 37–42 Read article
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Harmonizing Innovation: Exploring the Future of Smart Spaces
Abstract: Abstract: The inception of the harmonizing innovation was fueled by a forward-thinking vision aimed at revolutionizing interior spaces through the seamless integration of adaptive design concepts and cutting-edge technological advancements. At the core of our approach lies an interactive dialogue between design creation and inhabitants, facilitated by the incorporation of Artificial Intelligence tools. Through case studies drawn from numerous projects, the evolution of integrating smart solutions into interior design emerges …
Published in International Journal of Town Planning and Management · Vol. 10, Issue 1, 2024 · pp. 41–53 Read article
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Artificial Intelligence Applications for Sustainable IoT Systems: A Systematic Review and Future Directions in Environmental Sustainability
Abstract: This paper will be a systematic review of the Integration of Artificial Intelligence and the Internet of Things (IoT) in sustainable systems, towards the prospects for them Addressing environmental challenges. The review focuses on AI examples here include recognition AI, explainable AI, among others. The patterns are important for safety, security, and efficiency in Urban landscapes. It describes the functions of with this program, interoperability and openness are achieved. FIWARE …
Published in International Journal of Environmental Chemistry · Vol. 12, Issue 1, 2026 · pp. 27–35 Read article
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Geotechnical and Geological Engineering: Interdisciplinary Approaches to Sustainable Infrastructure
Abstract: AbstractGeotechnical and geological engineering are foundational disciplines that play a critical role in thedesign, construction, and sustainability of civil infrastructure, as well as in hazard mitigation andeffective resource management. This paper delves into the intersection of geotechnical and geologicalengineering, underscoring the essential role of comprehensive site investigations, the study of soil androck mechanics, foundation design principles, and slope stability analysis. The paper highlights theimportance of these elements in ensuring the …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 10, Issue 2, 2024 · pp. 1–9 Read article
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Predictive Brain Cancer Detection and Treatment Using Machine Learning and Artificial Intelligence
Abstract: Through the combination of Big Data and the computer science discipline of machine learning, significant insights may be gained. Machine learning may now be utilized to anticipate nearly any result based on any capability thanks to developing technology. By analyzing underlying patterns in the data, machine learning creates an appropriate model. Every day, medical sciences must overcome new obstacles, such as patients' lack of knowledge about the ailments they are …
Published in International Journal of Chemical Separation Technology · Vol. 9, Issue 1, 2023 · pp. 28–39 Read article
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Advance Solar Cleaning System Based on Artificial Intelligence
Abstract: A power generation panel’s surface is prone to dust accumulation. The efficiency of the solar panel gradually decreases because of dust accumulation. A solar panel cleanup system based on Arduino is devised and built in this study for dust removal. The suggested solar panel cleaner is waterless, cost-effective, and self-contained. Two-step mechanism used in this system consists of an exhaust fan which works as an air blower and a wiper …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 8, Issue 1, 2022 Read article
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Novel Approaches to Thermodynamic Optimization in Industrial Processes
Abstract: Thermodynamic optimization in industrial processes stands as a pivotal pursuit in enhancing efficiency, sustainability, and economic viability. Traditional methodologies have primarily focused on established principles, yet the escalating demands for resource conservation and emissions reduction necessitate innovative strategies. This abstract presents a compendium of novel approaches aimed at revolutionizing thermodynamic optimization in industrial settings. Firstly, the incorporation of advanced machine learning algorithms unveils unprecedented opportunities for predictive modeling and real-time …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 9, Issue 2, 2023 · pp. 20–25 Read article
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Fabrication of a Smart LPG Monitoring and Alert System for Homes Using Node MCU and IoT
Abstract: The "Smart LPG and MNGL Gas Monitoring System with Gas Leakage Detection" project is designed to enhance the safety and efficiency of liquefied petroleum gas (LPG) and Maharashtra natural gas limited (MNGL) distribution systems. LPG and MNGL are widely used for cooking and heating purposes, making it crucial to ensure their safe handling and distribution. Gas leakage can lead to life-threatening situations and environmental hazards. This project presents a comprehensive …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 10, Issue 2, 2024 · pp. 16–21 Read article
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Advancements in Manufacturing Techniques for High-performance Fiber-reinforced Composite Materials
Abstract: This article explores the recent advancements in manufacturing techniques for high-performance fiber-reinforced composite materials. Composite materials have gained significant attention in various industries due to their exceptional mechanical properties, lightweight nature, and design flexibility. The continuous development of manufacturing methods has enabled the production of composites with improved performance, increased productivity, and reduced costs. This article reviews key manufacturing processes, such as automated fiber placement, resin transfer molding, and additive …
Published in International Journal of Composite and Constituent Materials · Vol. 9, Issue 1, 2023 · pp. 35–42 Read article
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Emerging trends and challenges in telecommunications: a review of 5G/6G, softwarization, edge intelligence, IoT security and enabling technologies
Abstract: Telecommunications research over the last decade has accelerated from the deployment and optimization of 5G to early explorations of 6G, driven by demands for extreme data rates, ubiquitous low-latency connectivity, massive device density and novel services such as extended reality (XR) and holographic communications. This review synthesizes recent developments across six interlocking technology areas: radio access and physical-layer advances (5G/6G), network softwarization (SDN/NFV), edge and cloud-native architectures, artificial intelligence for …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 38–43 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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Microelectronics: Reach, Functions, and Worldwide Effects
Abstract: Microelectronics has changed modern life by making it possible to make small, powerful, and efficient electronic systems. This article looks at the basic ideas behind microelectronics, with a focus on how to design and make integrated circuits and semiconductor devices that power the technologies we use every day. It also highlights how crucial advanced lithographic methods and fabrication techniques are for attaining high precision and scalability in the contemporary production …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 12, Issue 1, 2026 · pp. 33–46 Read article
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Intelligent Transport System for the Development of Smart Cities
Abstract: Increment in activity thickness on the planet brings about more blockage, air contamination and mishaps. Consequently Intelligent Transport System (ITS) has been risen as an answer for different transport related issues. The point of this examination paper is to lead precise investigation on ITS. Strategies/Statistical Analysis: ITS is characterized as the arrangement of uses which are progress and plan to apply keen data and correspondence advancements keeping in mind the …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 2, Issue 2, 2016 · pp. 20–29 Read article
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Multifunctional Composite Materials: Innovations AndApplications
Abstract: The development of multifunctional composite materials has revolutionized various industries byintegrating multiple functionalities into single material systems. These advanced composites, designedto perform more than one function, offer significant advantages in terms of performance, efficiency,and sustainability. This paper explores the latest innovations in multifunctional composite materials,focusing on their design, fabrication, and diverse applications. Innovations in this field have led to thecreation of composites that combine structural integrity with additional capabilities such …
Published in International Journal of Composite Materials and Matrices · Vol. 10, Issue 1, 2024 · pp. 28–34 Read article
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SMART SURVEILLANCE: AI-DRIVEN DRIVER DROWSINESS DETECTION SYSTEM
Abstract: In this study, a real-time application for driver drowsiness detection based on machine learning and deep learning is developed. Accidents, including traffic accidents, are now a frequent cause of fatalities and injuries among people. One of the major contributing factors to traffic accidents and a significant threat to road safety is drowsy driving. As a result, there are more people dying and getting hurt every year. Serious traffic accidents have …
Published in International Journal of Computer Aided Manufacturing · Vol. 9, Issue 1, 2023 · pp. 29–35 Read article
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A Review on Artificial Intelligence, Internet of Things and Wearable Technology for Smart Healthcare
Abstract: The healthcare industry is no longer an isolated area unaffected by technology advancements. Healthcare is driven by technology more than any other force, and it will continue to evolve in spectacular ways in the future. Artificial Intelligence, Internet of Things, Big Data, Cloud Computing, Smart Wearables, and other cutting-edge healthcare technologies have transformed traditional healthcare into smart healthcare. Technology has allowed us to keep a close eye on our health …
Published in International Journal of Distributed Computing and Technology · Vol. 7, Issue 1, 2021 · pp. 26–34 Read article
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Securing the Edge with Artificial Intelligence, Cyber Defense: Privacy Protocols in Distributed Sensor Networks and Cloud–Fog Ecosystems
Abstract: In the rapidly developing distributed computing, edge devices, and Internet of Things (IoT) networks are propelling a revolution in intelligence and connection in today’s digital world. Low-latency compute, robust security measures, and privacy-preserving methods are being demanded by the vast number of connected devices and the enormous volume of real-time data they produce. Common and centralized cloud-based solutions are strong, but they use a large dispersed system to handle time-sensitive …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article