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105 articles for “autonomous”
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A Comprehensive Study on Evolvable Hardware
Abstract: AbstractEvolvable Hardware (EHW) is an innovative approach to hardware design that utilizes evolutionary algorithms, such as Genetic Algorithms (GAs) and Genetic Programming (GP), to enable electronic systems to autonomously adapt, optimize, and reconfigure themselves in response to changing environments or requirements. Inspired by natural evolution, EHW dynamically evolves hardware configurations through selection, mutation, and crossover, allowing systems to improve performance, enhance fault tolerance, and achieve greater energy efficiency. Central to …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 1, 2025 · pp. 16–22 Read article
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Intelligent Approaches to Functional Material Development
Abstract: By empowering systems to carry out tasks like decision-making and problem-solving that call for human-like intellect, artificial intelligence (AI) is revolutionizing technology. A key enabler of this progress is functional materials, designed through materials engineering to meet the needs of high-performance technologies like semiconductors, sensors, and memory storage. These materials are vital in ensuring AI systems operate efficiently by providing the computational power, energy efficiency, and sensory capabilities required. The …
Published in International Journal of Energetic Materials · Vol. 11, Issue 1, 2025 · pp. 11–15 Read article
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Multipurpose Navigating and Surveillance Robot
Abstract: A robot is a kind of automated machine that can quickly and precisely carry out particular activities with little or no assistance from humans. Autonomous mobile robots (AMRs), automated guided vehicles (AGVs), robotic arms, humanoid robots, and hybrids are the six most popular forms of robotics [1]. The goal of this project is to develop a mobile robot, or rover, with intended applications on multi-purpose to aid in exploration in …
Published in International Journal of Manufacturing and Materials Processing · Vol. 10, Issue 1, 2024 · pp. 19–25 Read article
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Edge AI-Based Smart Passenger Protection Systemwith Accident Severity Classification andAutonomous SOS Communication
Abstract: This project presents the design and implementation of an Edge AI-Based Smart Passenger Protection System to enhance passenger safety during hazardous situations inside vehicles. The system integrates an MQ-2 gas sensor, an impact sensor, an Edge AI-enabled microcontroller, a two-channel relay module, and a buzzer to provide intelligent and autonomous safety responses in real time. The gas sensor continuously monitors the air quality inside the vehicle cabin, while the Edge …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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A Study on AI in 7G Mobile Communication
Abstract: The imminent transition from 5G to the seventhgeneration (7G) mobile ecosystem promises to redefine connectivity through unprecedented data rates, pervasive ultralow latency, and holistic integration of terrestrial, aerial, and spaceborne networks. Central to this evolution is Artificial Intelligence (AI), which is poised to become the nervous system that orchestrates, optimizes, and secures the hyperdynamic 7G fabric. This paper surveys the emerging AIdriven paradigms that will underpin 7G, focusing on three …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 29–39 Read article
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Literature Review on Overcoming Graphene Dispersion Challenges in Ultra High Performance Concrete: A Review of Self-Dispersion and Bio-Polymer Encapsulation Strategies
Abstract: Abstract—Ultra-High-Performance Concrete (UHPC) is a new generation of cement-based material because of its higher compressive and tensile strength, increased durability, and higher resistance to environmental degradation. However, UHPC undergoes microcracking when subjected to mechanical and thermal loading, which can jeopardize the long-term performance of the structure, decrease service life, and cause expensive maintenance. Traditional solutions to enhance UHPC durability are centered on material densification and fiber strengthening, while these treatments …
Published in International Journal of Concrete Technology · Vol. 12, Issue 1, 2026 · pp. 31–46 Read article
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From Cloud to Edge–The Comprehensive Impact ofEdge AI
Abstract: By bridging the divide between localized device intelligence and centralized cloud computing, edge artificial intelligence (AI) can transform existing businesses and social paradigms. Extreme real-time data processing, enhanced privacy, and decreased latency are among the capabilities. To comprehend how edge AI interacts with hybrid systems that result in full integration with cloud computing, this paper thoroughly examines the whole architecture and important technologies utilized in this technology. Autonomous driving, smart …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 1–13 Read article
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Review and Analysis of Fault Detection in Self-Healing Hardware System
Abstract: Self-healing hardware systems represent a transformative advancement in fault tolerance, enabling devices to autonomously detect, diagnose, and recover from malfunctions to ensure continuous and reliable operation. This paper explores the critical role of fault detection techniques in self-healing systems, focusing on methods such as built-in self-test (BIST), redundancy, and machine learning-based approaches. These techniques facilitate proactive and real-time fault resolution, addressing the limitations of traditional reactive strategies. The study highlights …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 1, 2025 · pp. 11–15 Read article
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Enhancing Image Quality with Deep Learning Techniques for Restoration and Denoising
Abstract: Abstract: Clear and high-quality images have become more and more necessary in recent years due to the rapid development of computer vision-based autonomous systems, including autonomous driving, underwater robots, video surveillance, and medical imaging. However, real-world circumstances, such as inclement weather, underwater scenes, and moving cameras, can lead to poorer-quality photographs. These degradations, which include color distortions, noise, and blurring, hurt how well visual systems accomplish tasks like target tracking, …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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Unlocking Insights, Optimizing Processes: A Review Of Machine Learning In Action
Abstract: Machine learning (ML) has become a disruptive technology with applications in many different fields and sectors. Machine learning techniques are transforming the way data is examined, patterns are found, and decisions are made in a variety of industries, including healthcare, finance, manufacturing, and transportation. ML is improving drug discovery, treatment strategies, and diagnostics in the healthcare industry. In the financial sector, this means maximizing risk mitigation, credit scoring, and fraud …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 10, Issue 1, 2024 · pp. 14–22 Read article
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Integrating climate adaptation into asset management planning – Assessing the adaptation potential and opportunities of an urban area in Bangkok
Abstract: Most cities are at risk of climate change related disasters and flood frequencies and impacts are increasing the need for adaptation. Apart from these large scale interventions imposed by the central government, small-scale interventions taken at the neighborhood or household level could further contribute to mitigate future flood risk and to enhance the flood resilience of the city of Bangkok as a whole. Interventions taken at the local scale are …
Published in International Journal of Water Resources Engineering · Vol. 4, Issue 2, 2018 · pp. 50–65 Read article
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3D Printed Side Winding Snake Mobile Robot
Abstract: ABSTRACTThe design, programming and deployment of Modular robotics is a new approach in the field of robotics. Modular robots area autonomous and self-reconfigurable. It can change its shape by changing its topology. In this research, we propose an approach which combines evolutionary robotics with 3D printing as an approach for rapid and cheaper method for the fabrication of autonomous mobile robots. Capitalizing at the computerized layout and optimization phases of …
Published in International Journal of Broadband Cellular Communication · Vol. 6, Issue 1, 2020 · pp. 11–17 Read article
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A Survey on Secure Authentication Scheme for VANETs
Abstract: In wireless networks, Vehicular Adhoc Net- work (VANET), is one of most recent research area, which is growing day by day. It is utilized to give an efficient Traffic Information System (TIS), Intelligent Transportation System (ITS), and Life Safety. Authentication is an developing issue for VANET security. There are many authentication schemes which have been given for stabilized communication among autonomous entities for efficient, fast, scalable and reliable data transmission. …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 2, Issue 2, 2016 · pp. 28–38 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Forensic Science and Nursing: A Synergistic Approach to Justice and Health
Abstract: Forensic science, rooted in the application of scientific principles to legal contexts, has played a critical role in solving crimes and upholding justice throughout history. Forensic nursing, a more recent innovation, merges health care with law enforcement to address issues such as trauma, violence, and death. This review explores the evolution of forensic science and nursing, their scopes and specializations, ethical implications, and the global expansion of forensic practices. With …
Published in International journal of Nursing Science Practice and Research · Vol. 12, Issue 1, 2026 · pp. 1–5 Read article
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Nurses' Responsibilities and Patients' Rights in Safe Medication Administration
Abstract: Safe medication administration is a fundamental responsibility of nurses and a critical element of quality healthcare. As the final healthcare professionals involved before medications reach patients, nurses play a vital role in preventing medication errors, ensuring adherence to prescribed treatments, and protecting patient safety. Equally important is the recognition and protection of patients' rights throughout the medication administration process, including the right to receive accurate information, participate in decision-making, provide …
Published in International journal of Nursing Science Practice and Research · Vol. 12, Issue 2, 2026 · pp. 6–15 Read article
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Brain-Inspired Computing: The Rise of Neuromorphic AI
Abstract: Neuromorphic computing is an emerging computing paradigm that draws inspiration from the structure and operational principles of the human brain. By integrating ideas from neuroscience, computer design, and materials science, neuromorphic systems aim to deliver high-performance, low-power computation that is suitable for smart data processing. Unlike traditional von Neumann architectures, neuromorphic hardware uses massively parallel processing, event driven computation, and adaptive learning. This paper provides an overview of neuromorphic principles, …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 12, Issue 2, 2026 Read article
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Exploration of Explainable Artificial Intelligence (XAI) Techniques to Enhance Model Interpretability
Abstract: Explainable Artificial Intelligence (XAI) has become a major research field because of the rising application of complex machine learning and deep learning models in actual decision-making systems. Although such models are accurate, they are in many cases black boxes and therefore the users do not have much understanding of the way the decisions are generated. This absence of transparency brings up some serious concerns connected with trust, accountability, fairness, and …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering 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