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278 articles for “Real world applications”
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Advancements in Data Structures: Bridging the Gap Between Theory and Real-world Applications
Abstract: In the rapidly advancing landscape of computer science, this study unfolds a comprehensive exploration of Data Structures, spanning from foundational principles to cutting-edge innovations. Data structures form the backbone of computational processes, and this study aims to dissect and illuminate their pivotal role. Beginning with fundamental concepts such as Arrays, Linked Lists, Stacks, and Queues, the narrative progresses to intricate structures like Trees, Graphs, and Hash Tables. Practical applications in …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 1, 2024 · pp. 14–20 Read article
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Reinforcement Learning in Real World Application: A Study on Robotics; Autonomous Vehicles and Industrial Automation
Abstract: This research paper investigates the practical application of reinforcement learning (RL) in three critical domains: robotics, autonomous vehicles, and industrial automation. The study delves into the implementation of RL algorithms to enhance decision-making, adaptability, and autonomy in these real-world scenarios. Through a comprehensive review of existing literature, methodologies, and case studies, the paper addresses the challenges faced and the successes achieved in deploying RL in each domain. The findings offer …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 1, Issue 3, 2023 · pp. 1–15 Read article
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Emerging Technologies Reshaping Industries
Abstract: Emerging technologies such as Artificial Intelligence (AI), machine learning and 5 G technology are reshaping industries rapidly. This paper contains knowledge about some of the key emerging technologies and their real-world applications in various sectors like health care, education, agriculture, transportation, finance. This includes some of the challenges and considerations arising due to the widespread use of these emerging technologies. Also exploring about the future directions due to adopting these …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 3, 2025 · pp. 1–10 Read article
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Software Development for Computers That Are Brand New
Abstract: The purpose of this study is to present a novel method to software development that is intended to answer the issues that are constantly changing in the realm of computer programming and application development. The demand for software solutions that are superior in terms of efficiency, scalability, and adaptability has substantially increased in tandem with the rapid advancement of technology. The development approach that has been offered integrates contemporary methods …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 07–18 Read article
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Fault Detection in Solar PV Systems Integrated with the Power Grid: Evaluating Logistic Regression through Confusion Matrix Analysis
Abstract: This paper proposes a method for failure detection in grid-integrated solar photovoltaic (PV) systems using logistic regression and real-time sensor data. The approach effectively classifies and identifies seven distinct fault types. The developed model demonstrates a high fault identification accuracy, ranging from 93% to 96.5% across various fault types and operational conditions. By leveraging logistic regression, the system utilizes key independent variables that significantly influence the classification process. Additionally, the …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 2, 2025 · pp. 45–52 Read article
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Electromechanical Modeling of Microscale Fluidic Systems with Electro Kinetic
Abstract: Due to their capacity to carry out complex fluid manipulations at the microscale, microfluidic systems have become more popular in a variety of applications. For a variety of industries, including biomedical diagnostics, chemical analysis, and environmental monitoring, achieving precise and effective fluid control is essential. The electromechanical modeling of microscale fluidic systems using electro kinetic actuation is the main topic of this research study. We propose a thorough framework for …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 1, Issue 1, 2023 · pp. 18–22 Read article
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Nanoparticle Chemistry: The Synthesis, Properties and Applications of Polymer and Macromolecule-Based Nanoparticles and Their Composites
Abstract: Nanoparticles have arisen as a transformative branch of materials in chemistry, owing to their unique physicochemical and biological properties that vary from their bulk materials. Various synthesis techniques, including physical (e.g., laser ablation), chemical (e.g., sol-gel, co-precipitation) and biological (e.g., microbial or plant-mediated) approaches, offer control over particle size, shape and surface characteristics. These methods influence the optical, electronic, catalytic and mechanical properties of nanoparticles. Nanoparticles can exhibit high surface …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1236–1247 Read article
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Reaching Conditions for Discrete-time Sliding Mode Control: Analysis and Design
Abstract: Sliding mode control (SMC) is a robust control method widely used in engineering due to its ability to handle uncertainties and disturbances effectively. In discrete-time sliding mode control (DSMC), system trajectories are constrained to sliding surfaces in the state space, leading to improved performance and stability. This paper provides an overview of DSMC, focusing on its applications, advantages, and limitations. It discusses the use of DSMC in various engineering fields …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 1, 2024 · pp. 7–14 Read article
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Advancements in Satellite Networking Applications Through Delay-tolerant Networking (DTN)
Abstract: The burgeoning demand for global connectivity and communication has intensified the exploration of novel networking paradigms, especially in remote or challenging environments where traditional methods fall short. One such innovative approach is delay-tolerant networking (DTN), a technology specifically engineered to work in scenarios where standard networking is unreliable, frequently disrupted, or suffers from considerable delays. This study focuses on the application of DTN in satellite networking, a domain characterized by …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 1, 2024 · pp. 24–28 Read article
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The Role of 3D Modeling in Additive Manufacturing: Advances and Applications
Abstract: By making it possible to create intricate, highly functional, and customized components for a range of industries, the combination of 3D modeling and additive manufacturing (AM) has completely changed contemporary production processes. With an emphasis on both the technological advancements in digital design and its real-world applications, this paper examines the critical role that 3D modeling plays in the success of additive manufacturing. 3D modeling, the cornerstone of additive manufacturing, …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 2, 2025 · pp. 16–21 Read article
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The Role of Augmented and Virtual Reality in Enhancing Education and Training
Abstract: Virtual reality (VR) and augmented reality (AR) are emerging as powerful tools that are transforming the way education is delivered and experienced. Unlike traditional teaching approaches that often rely heavily on textbooks, lectures, and passive learning, these technologies create highly interactive and engaging environments that allow students to actively participate in the learning process. By providing immersive experiences, VR and AR bridge the gap between theoretical knowledge and practical application, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 33–38 Read article
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AI-Powered Emotion Recognition in Dog
Abstract: Understanding animal emotions is important for improving veterinary care, human animal interaction, and overall pet well-being. Inspired by previous research that utilized a modified EfficientNetB5 model for emotion classification in cats and dogs, our study builds upon this foundation with a focus on real-time emotion recognition in dogs. While earlier approaches achieved high accuracy using Dense Residual and Squeeze-and-Excitation blocks, they often lacked real-time applicability and were not optimized for …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 · pp. 20–32 Read article
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Virtual Reality Based Decentralized Educational Art Gallery
Abstract: One can experience the forefront of education by engaging with our virtual reality (VR) powered decentralized educational art gallery. This groundbreaking platform seamlessly integrates VR technology with decentralized networks, crafting an unmatched learning journey. Curated collections of art from diverse cultures and eras can be explored, accompanied by interactive educational modules that deepen one’s understanding of each piece. One can engage with fellow learners in real time, fostering collaboration and …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 2, 2024 · pp. 31–37 Read article
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A Review on Predicting Wear and Friction of PTFE Composites - Fillers to Machine Learning Models
Abstract: Polytetrafluoroethylene (PTFE) composites, a self-lubricating material with low friction, became an indispensable material in engineering applications where load carrying capacity and wear are crucial. The pure PTFE has poor mechanical strength and wear resistance which can be enhanced by the addition of fillers in appropriate volume fraction. The wear performance is dependent on various factors such as fillers, operating parameters, environmental conditions as well as manufacturing attributes. This makes the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 114–128 Read article
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Integration of GIS and AI in Urban Planning and Disaster Management
Abstract: The rapid pace of urbanization, combined with the increasing frequency and intensity of natural disasters, necessitates the development of innovative solutions for urban planning and disaster management. Geographic information systems (GIS) and artificial intelligence (AI) have emerged as transformative technologies capable of addressing these challenges. GIS provides a robust framework for spatial data analysis, while AI enhances decision-making through predictive analytics and automation. This paper explores the integration of GIS …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 1, 2025 · pp. 20–36 Read article
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AI-Based Intelligent Traffic Signal Management System: A Review
Abstract: Traffic congestion is a growing problem in urban areas worldwide, leading to economic losses, increased pollution, and commuter frustration. Traditional traffic management systems rely on fixed timing cycles and lack adaptability to real-time traffic conditions. Intelligent traffic light control systems based on artificial intelligence (AI) have become a viable substitute for traditional techniques. These systems are able to evaluate large volumes of traffic data in real time, identify patterns, and …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article
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Recent Trends and Techniques in the Advanced Microcontroller Bus Architecture (AMBA) Protocol: A Comprehensive Review
Abstract: ARM has created the Advanced Microcontroller Bus Architecture (AMBA) that is used as the main method for communication on chips in today’s embedded systems. Since AMBA is built to scale and combine with other components, it allows data transfer to high-performance and low-power components easily. The paper discusses how AMBA protocols have evolved and presents new trends of producing higher data rates, conserving energy, and lowering latency. This study offers …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 3, 2025 · pp. 9–15 Read article
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Design of a SmartMesh IP Network with Wireless Motes and GUI Control
Abstract: SmartMesh IP is an innovative way to connect smart devices with advanced network management and comprehensive security features. SmartMesh IP delivers reliable, scalable, and energy efficient wireless sensor connectivity. In recent years, SmartMesh IP has become the industry’s most energy- efficient wireless mesh sensing technology even in harsh and dynamically changing radio frequency (RF) environments. This paper proposes a SmartMesh IP network system that consists of a network manager and …
Published in Journal of Microcontroller Engineering and Applications Read article
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The Role of Adaptive Filters in Enhancing Acoustic Echo Cancellation Efficiency in Noisy Environments
Abstract: The novel approach that this work discusses is a DCD-based iterative learning filter approach improved with deep learning methodologies, designed to improve the efficiency of acoustic echo cancellation. The proposed system can really manage both linear and nonlinear echo scenarios, dynamically adapting to fluctuating acoustic environments. The above comparative evaluations with standard filter, the standard RLS filter, indicate that the mean square error, and the standard deviation of the correlation …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 2, 2024 · pp. 9–24 Read article
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IoT Innovations: Sensors Integration and Communication for Smart Environments Journal
Abstract: In today’s rapidly advancing technological landscape, companies are racing to embrace the transformative concept of the Internet of Things (IoT), merging physical objects with the vast realm of the internet. This integration, facilitated by smart hardware and software, promises a seamless network where objects communicate and actively engage in our daily lives. However, the journey to this interconnected future is not without hurdles. Addressing the myriad challenges from diverse perspectives …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 1, 2024 · pp. 1–6 Read article