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269 articles for “vehicles”
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The New Era of Fusion and Solid-State Joining: A Review of Latest Welding Techniques and Applications
Abstract: Abstract This review examines the quickly changing field of solid-state joining and welding technologies, emphasizing new developments, practical uses, and future research avenues. Strategies that lower heat input, enhance joint integrity, and allow the connecting of sophisticated and dissimilar materials have gained importance within the last ten years. Solid-state techniques are particularly appealing for lightweight alloys used in the automotive and aerospace industries because they reduce melt-related defects and the …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 2, 2025 · pp. 35–40 Read article
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The Future of Radar Antenna Design: A Study
Abstract: Radar antennas are the critical interface between the electronic heart of a radar system and theelectromagnetic waves that probe the environment, acting as the system's "eyes and ears." Theirdesign is a multi-faceted engineering challenge, inherently balancing often-conflictingrequirements to optimize performance across incredibly diverse applications – from long-rangesurveillance and air traffic control to autonomous vehicle sensing and precise weatherforecasting. This abstract introduces the fundamental principles and intricate considerationsgoverning radar antenna design, …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 43–51 Read article
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TRAFFIC CONTROL SYSTEM: CASE STUDY OF BALEWADI HIGH STREET SIGNAL
Abstract: Abstract— The increasing demand for efficient traffic management in urban areas is crucial for enhancing safety, reducing congestion, and improving overall mobility. This study focuses on the design and implementation of an intelligent traffic control system at two critical intersections in Pune: Balewadi High Street Bridge and Lt. Baburao Habaji Saykar Chowk. The study identifies key traffic flow issues, including congestion, delay, and poor intersection geometry, and proposes the use …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 8–13 Read article
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NEXT-GENERATION TRAFFIC OPTIMIZATION SYSTEM
Abstract: Abstract- Traffic lights at intersections automatically adjust based on the flow of traffic. Reinforcement learning enables continuous learning and optimization for more effective traffic control. Traffic lights are dynamically adjusted thanks to sensors that collect real-time data on the number of cars. By predicting the condition of the roads, predictive analytics helps avoid traffic jams. reduces stop-and-go traffic, which in turn reduces fuel consumption and pollution. A scalable system designed …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
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Mathematical and statistical analysis of operational data from transportation systems that impact the final result of greenhouse gas emissions and other atmospheric pollutants
Abstract: Abstract The main objective of this study is to identify which mathematical and statistical models are used to forecast greenhouse gas emissions and other atmospheric pollutants from transportation systems. The research demonstrates how mathematical and statistical tools are used to identify and anticipate future scenarios from an environmental perspective, thus contributing to better solutions for mitigating increased emissions. The research concludes that mathematical and statistical models can more accurately anticipate …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 14–18 Read article
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Coupled Dynamics in Fluid-Structure Interaction Systems: A Review of Analytical and Computational Models
Abstract: Abstract: Fluid-Structure Interaction (FSI) systems embody the complex, coupled behavior between deformable or flexible structures and surrounding fluid flows. This interaction is inherently nonlinear and dynamic, posing significant challenges in modelling, simulation, and analysis. Understanding and accurately predicting the behavior of FSI systems is critical across a broad spectrum of engineering applications, including aerospace structures undergoing aeroelastic effects, underwater vehicles interacting with fluid currents, biomedical devices, such as heart valves …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
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Intelligent Rocket and Missile Propellants: A Study
Abstract: The pursuit of enhanced performance, increased safety, and unparalleled mission adaptability in aerospace and defence systems necessitate a paradigm shift in propulsive technologies. Traditional rocket and missile propellants, while highly effective, possess intrinsic limitations related to fixed energy release profiles, inherent handling risks, and susceptibility to environmental factors. This paper introduces the concept of Intelligent Rocket and Missile Propellants: advanced chemical or energetic materials endowed with intrinsic sensing, self-monitoring, and …
Published in International Journal of Energetic Materials · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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Advanced Security System for Residential Complexes
Abstract: A sophisticated apartment safety system aimed at preventing unauthorized access and enhancing security within residential complexes. The system employs facial recognition technology to identify residents and regular visitors while capturing the pictures and data of unknown individuals upon entry. These individuals are provided with an RFID tag, enabling continuous tracking of their movement within the premises until they reach their intended destination so that we can monitor the person and …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 1–7 Read article
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Advances in Machine Learning and Data Analytics: A Multidisciplinary Synthesis
Abstract: Machine learning has emerged as a key driver of innovation across a wide range of fields. Its transformative potential is evident in natural language processing, computer vision, and real-time automation, where it addresses intricate challenges with remarkable efficiency. This paper delves into recent developments in machine learning, spotlighting techniques, such as semi-supervised learning frameworks, stable diffusion models for generative tasks, and advanced lightweight architecture for real-time defection detection. By integrating …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 1, 2025 · pp. 12–17 Read article
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Pollutant Emissions, Performance and Combustion Characteristics in Diesel Engines at High Altitudes: A Review
Abstract: At high altitudes, majority of the engines tend to have less power output since the increase in altitude which directly results in lack of oxygen content present in the atmosphere. This paper presented to come up with a systematic work carried out on the existing research efforts regarding the effects of altitude on engines, the changes or modifications that can be applied for the enrichment of oxygen, the design parameters, …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 11, Issue 1, 2025 · pp. 37–50 Read article
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Emission Reduction Strategies in Diesel and Gasoline Engines: Progress and Future Directions
Abstract: Abstract The global transportation sector remains a significant contributor to greenhouse gas emissions and air pollution, necessitating continuous advancements in emission reduction strategies for internal combustion (IC) engines. Diesel and gasoline engines, despite their efficiency and widespread use, produce harmful pollutants, such as nitrogen oxides (NOx), particulate matter (PM), and carbon monoxide (CO). These emissions contribute to serious environmental and health issues, including global warming, respiratory diseases, and ecosystem degradation. …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 10, Issue 2, 2024 · pp. 11–15 Read article
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A Comprehensive Review of Smart Parking Systems: Technologies, Challenges, and Future Directions
Abstract: Abstract Smart Parking Systems (SPS) are gaining significant attention as a critical solution to address the growing concerns of urban congestion, inefficient use of parking spaces, and environmental sustainability. This paper presents a comprehensive review of SPS, focusing on the key technologies, challenges, and future directions. We explore the integration of advanced technologies, such as the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and sensor networks in …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 1–13 Read article
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Evaluating Service Quality and Customer Satisfaction in Interurban Transport: A Case Study of Vatican Express, Yaoundé
Abstract: Customer satisfaction and the viability of the business are greatly impacted by the quality of the services provided in interurban transportation. This study assesses the level of client satisfaction and the quality of service offered by Vatican Express, a significant interurban transport provider in Yaoundé, Cameroon. The study employed a mixed-method research approach, gathering qualitative insights through interviews and observations and quantitative data through user surveys. Tangibility, dependability, assurance, responsiveness, …
Published in International Journal of Housing and Human Settlement Planning · Vol. 11, Issue 1, 2025 · pp. 1–11 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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Impact of Cryogenic Temperatures on the Mechanical and Thermal Properties of Polymers and Composites
Abstract: The development of lightweight, high-performance materials for use in cryogenic environments is crucial for advanced applications in aerospace, energy storage, and industrial sectors. This study explores the thermodynamic and mechanical behavior of fiber-reinforced polymers and composite materials under extremely low-temperature conditions. The cryogenic performance of these materials, including their thermal stress resistance and impact properties, was assessed with a focus on polymer fragility and the durability of composites at temperatures …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 10, Issue 1, 2024 · pp. 7–12 Read article
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A Saftey Device Fast Acting Electronic Circuit Breaker
Abstract: When the project is overloaded, it is intended to switch off the power supply. The thermal bimetal lever trip mechanism of a traditional circuit breaker, such as an MCB, is used. The percentage of overload might affect the journey time of a miniature circuit breaker, or MCB. The MCB may take longer to trigger and shut off the circuit as the overload develops. The concept of an electronic circuit breaker …
Published in International Journal of Analog Integrated Circuits · Vol. 10, Issue 2, 2024 · pp. 11–20 Read article
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Efficiency Improvements in Long-Distance Wireless Power Transmission
Abstract: The quest for efficient and flexible energy transfer has given rise to Wireless Power Transmission (WPT) technology, which allows the transmission of electrical energy from power source to consuming device deprived of physical connectors. This transformative technology has garnered significant responsiveness due to its possible applications across various domains, including consumer electronics, electric vehicles, medical devices, and industrial systems. With advancements in resonant inductive coupling, microwave transmission, and laser-based systems, …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 1, 2024 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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IoT Based Smart Car Parking System
Abstract: The surge in urban infrastructure development has led to a significant rise in the number of privatevehicles, causing traffic congestion that adversely affects traffic flow and the overall quality of life forcity residents. Parking has emerged as a major problem in urban centers. This research paper proposesan IoT-based smart car parking system designed to alleviate the current parking issues cost-effectively.Previous solutions, such as automatic car parking systems, aimed to minimize …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 10, Issue 1, 2024 · pp. 21–28 Read article
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Optimization Techniques for Battery Health Monitoring and Management
Abstract: The "IoT-Based Battery Management System" project represents an innovative solution to address the growing demand for efficient and intelligent battery monitoring and management across various applications. In order to achieve maximum efficiency from a multi-cell Li-ion battery, every cell inside the battery must be "matched." Most battery safety and qualification standards demand that a battery be built entirely of compatible cells. Still, not much work is done to ensure that …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 10, Issue 1, 2024 Read article