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1462 articles for “Data applications”
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Incorporating Mobility to Sensor Networks during Node Failure and Their Analysis for Radio Propagation Models
Abstract: AbstractWireless sensor networks are expected to find wide applicability and increasing deployment in the near future. It consists of spatially distributed autonomous sensors to monitor physical or environmental conditions and to cooperatively pass their data through the network to a main location. The more modern networks are bi-directional, also enabling control of sensor activity. The development of wireless sensor networks was motivated by military applications such as battlefield surveillance, many …
Published in Journal of Communication Engineering & Systems · Vol. 4, Issue 1, 2014 · pp. 29–35 Read article
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A Decrease in the Encryption Latency Utilizing Transport Layer Protocols for Software Defined Networks
Abstract: Data centers and business networks are rapidly using SDN (Software Defined Networking), an emerging technology. It isolates the control plane from the underlying data or forwarding plane to allow more efficient and customized network control with a global view of the underlying network. A variety of encryption algorithms created for network-level data encryption and decryption must be used in a PC network for every application communication to be encrypted at …
Published in Journal Of Network security · Vol. 11, Issue 1, 2023 · pp. 24–38 Read article
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Study: Internet of Things
Abstract: This paper gives a brief analysis of different applications based on Internet of Things (IoT)s. This explains about how internet of things evolved from mobile computing and ubiquitous computing. With the help of IOT gradually evolving as the subsequent phase of the evolution of the internet, it becomes crucial to find the various potential domains for IOT, and the research challenges that are associated with various applications. It gives the …
Published in Journal of Microwave Engineering and Technologies · Vol. 8, Issue 1, 2021 · pp. 1–5 Read article
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Artificial Intelligence in Diagnostics: Advancements, Challenges, and Future Prospects
Abstract: AI is changing (and will change) healthcare as we know it, and diagnostics might be the specialty that feels the most discomfort. Artificial intelligence-based analytical systems are facilitating the detection, diagnosis, and treatment of a variety of diseases, with better accuracy, speed, and results. Now, this abstract investigates the role of AI in diagnostics, scouring its elements, landmark techniques, transformative impact and future overview. This article explains AI and discusses …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 8–17 Read article
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Diabetic Risk Prediction Using Machine Learning
Abstract: The global prevalence of Type 2 diabetes has risen dramatically in recent years, posing a serious public health risk. Long-term risk prediction is an important technique for evaluating who is most likely to develop type 2 diabetes. Early detection and response can lead to better management and prevention of diabetes complications. Developing a user-friendly Windows program for long-term Type 2 diabetes risk prediction could revolutionize preventive healthcare due to technological …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 11–17 Read article
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Edge computing: Applications, Challenges and Opportunities
Abstract: Internet of things is a broad term used to describe how the physical things in real life are connected to each other via the logical network. The data generated by these things is stored on the infrastructure called as the cloud. Cloud computing is rapidly moving towards providing the better cloud services to its end users. Some time-critical applications cannot tolerate the high latency of cloud computing. These circumstances gives …
Published in Journal of Computer Technology & Applications · Vol. 9, Issue 3, 2018 · pp. 1–4 Read article
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An Effective Privacy Preservation Technique for Enhancing Data Usability
Abstract: The rapid growth and adoption of modern database systems have created immense opportunities for researchers, industries, and organizations to extract meaningful knowledge and make data-driven decisions. While this progress has enabled the discovery of valuable patterns and trends, it has also intensified the challenge of safeguarding individual privacy. Merely removing direct identifiers such as names, social security numbers, or Aadhar card details is no longer sufficient, as adversaries can often …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 3, 2025 · pp. 35–40 Read article
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Educating Compilers to Learn: Utilizing Machine Learning for More Brilliant Code Optimization
Abstract: This study explores the use of machine learning (ML) approaches to compiler optimization. The now-traditional static compilation techniques are transformed into adaptive, dynamic systems capable of making context-specific advancements. Traditional compilers rely mostly on heuristic or rule-based optimization techniques. While these techniques work well in general cases, they consistently fail to adapt well within the limits of code structures that modern machines display. This limitation is especially acute in today's …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 50–54 Read article
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Machine Learning Revolutionizing Server Management and Performance
Abstract: The modern data center is a complex and dynamic environment, grappling with ever-increasing workloads, stringent performance demands, and the constant pressure for cost optimization. As such, applying machine learning (ML) directly to the server infrastructure offers a powerful avenue for achieving advanced automation, resource optimization, and proactive problem resolution. This article explores the transformative potential of integrating machine learning into server systems, leveraging insights gleaned from the abstract and conclusion …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 36–44 Read article
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VME Interfacing for SLAVE PCB on FPGA by using VIVADO
Abstract: Abstract: In this paper, we have presented a brief review on VME bus interface. Various studies have revealed that the VME bus is a widely used industrial bus, which is applied in military, industrial, aerospace, communication and control applications. It uses the Euro card format, its high performance, and its versatility are some of the reasons that it appeals to a wide range of users. The designer friendly and user-friendly …
Published in Current Trends in Signal Processing · Vol. 9, Issue 1, 2019 · pp. 26–29 Read article
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Application-Driven Rule-Based Framework for Lubrication Failure Modes in Industrial Systems
Abstract: Modern lubricants increasingly rely on polymer-based composites, integrating synthetic base oils, polymer thickeners and solid additives like MoS₂ and PTFE for high-performance applications. These formulations not only enhance thermal and mechanical stability but also enable low-friction operation across diverse industrial conditions. Lubrication-related failures represent a critical cause of unplanned downtime and reduced reliability in industrial machinery. This paper presents an application-driven, rule-based framework designed to assess and mitigate lubrication failure …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 522–531 Read article
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Role of Beowulf Clusters in Next-Generation Military Applications: A Comprehensive Study
Abstract: Beowulf clusters, which utilize cost-effective commodity hardware combined with open-source software for parallel computing, have emerged as a viable and efficient solution for high-performance computing needs. This paper explores their growing relevance and practical applications in modern and future military technologies. Contemporary military operations increasingly rely on rapid data processing, real-time intelligence, high-fidelity simulations, and autonomous decision-making systems. Beowulf clusters offer scalable and adaptable computational power that supports these demands …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 01–07 Read article
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Critical Review of Fatigue Properties of Friction Stir Welds of Aluminum Alloys
Abstract: Friction Stir Welding (FSW) is a solid state welding technique being developed for various metals and alloys. It allows joining of high strength aluminum alloys which is generally difficult to weld with conventional welding techniques. This joining technique is energy efficient, environment friendly, and versatile. FSW is considered to be the most significant development in metal joining in a decade. It is expected to have various weld properties to meet …
Published in Journal of Materials & Metallurgical Engineering · Vol. 4, Issue 1, 2014 · pp. 1–6 Read article
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Social Media Analysis Using Big Data
Abstract: Social media has become an essential aspect of everyday life across different age groups, serving functions ranging from sharing personal updates to staying informed about social developments. Our objective is to harness big data to extract meaningful insights from the immense and ever-expanding volume of data generated on social media platforms. We will collect and analyze data from various social media sources, including text, images, and user interactions, using cutting-edge …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 3, 2024 · pp. 35–46 Read article
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Comprehensive Study of Least Squares Estimation in Fast Fading MIMO-OFDM Systems
Abstract: MIMO-OFDM technology is now the foundation for modern wireless communication systems, allowing dramatic improvements in spectral efficiency, power efficiency, and transmission rate. On the other hand, the least accurate channel estimation is still a critical task, especially when they are in fast-fading environments. This study gives a comprehensive survey of LSE-based approaches and their applications on different fast-fading channel models for MIMO-OFDM systems. Techniques like Pilot Assisted Channel Estimation (PACE), …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 1, 2025 · pp. 13–21 Read article
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Physics-Informed Generative and Tensor-Based Framework for DNA Sequence Simulation and Genomic Structure Discovery
Abstract: In this paper, we explore the intersection of artificial intelligence (AI) and mathematical physics to propose advanced methods for DNA sequence generation and analysis. Specifically, we investigate how physics-informed Generative Adversarial Networks (GANs) and tensor network representations can be harnessed to restructure DNA for applications in genetic science. The proposed methodology offers a unique integration of concepts of thermodynamic modeling with innovative GAN architecture in order to allow the creation …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Orthostride: An Internet of Medical Things-Enabled Smart Rehabilitation Footwear System for Real-Time Monitor
Abstract: The orthopedic rehabilitation goal of controlled weight bearing, a stable gait progression, and early recognition of hazardous situations for safe mobility is traditionally met through time, scheduled in-clinic observation and clinician induction, and patient report. In this work, Orthostride, a smart rehabilitation footwear prototype intended to augment postoperative and injury-related lower extremity restoration through continuous sensing, embedded decision logic, local feedback, and remote telemetry, is proposed. This system incorporates force …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
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A Review on Smart Parking System
Abstract: The Smart Parking System is an intelligent solution designed to reduce traffic congestion and save time by efficiently managing parking spaces using modern technology. To determine if a car is there or not, sensors are placed in each parking space in this system. The collected sensor data is processed by a microcontroller and transmitted to a display unit or mobile application, enabling users to access real-time information about parking availability. …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 2, 2026 Read article
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The Potential of Li-Fi for High-Speed Underwater Data Transfer
Abstract: Recently, there has been a growing interest in using underwater communication (UC) to monitor obstacles and marine life in oceans. Unlike conventional methods which struggle due to the absorption of radio waves in water, Li-Fi technology has emerged as a promising solution. Li-Fi utilizes light to transmit data, making it effective for underwater communication as light can penetrate deep into the ocean. In a recent study, researchers successfully demonstrated real-time …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 2, 2024 · pp. 10–17 Read article
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Measuring Microstructure, Wear Resistance, and Mechanical Reliability Enhancement in Polymer Nanocomposites via Data-Driven Analysis with Deep Learning
Abstract: Polymer nanocomposites have gained great attention owing to their superior mechanical performance, better wear resistance and customizable microstructural properties for aerospace, automotive, medicinal and industrial engineering applications. However, the correct evaluation of the link between the microstructure evolution and the material reliability is a huge issue due to the intricacy of nanoscale interactions and diverse material characteristics. In this study, we propose a data-driven approach that integrates deep learning and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article