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503 articles for “high-performance computing”
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A Correlative Study of Machine Learning Algorithms
Abstract: Machine learning (ML) is the term used to define a systematic reading of algorithms and mathematical models of computer structure used to perform a specific task without precise programming. Learning algorithms in many programs we use every day. Nowadays, one of the reasons an online search engine like Google performs so effectively is because the learning algorithm has mastered the art of rating web sites. Additional uses for these algorithms …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 9, Issue 2, 2022 · pp. 30–35 Read article
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Deep Learning for Traffic Sign Recognition in Autonomous Vehicles: Challenges, Trends and Future Directions
Abstract: Traffic Sign Recognition (TSR) serves as a fundamental task in the domain of autonomous vehicles (AVs), enabling systems to detect, classify, and respond to road signs with the level of accuracy and speed required for safe navigation. As AV technology continues to evolve, the role of intelligent TSR systems has become increasingly vital. Traditional computer vision techniques, while foundational, often fall short under challenging real-world conditions such as poor lighting, …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 2, 2026 · pp. 1–7 Read article
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Role of Machine Vision in Autonomous Vehicles: A Review
Abstract: The integration of machine vision in autonomous vehicles (AVs) is a critical advancement in the field of intelligent transportation systems. Machine vision systems enable AVs to perceive their environment, understand road conditions, detect obstacles, and make real-time decisions necessary for safe navigation. These systems rely heavily on image processing techniques, which have evolved significantly over the past decade, leading to improved performance in complex driving scenarios. These developments are largely …
Published in Trends in Machine design · Vol. 12, Issue 1, 2025 · pp. 38–43 Read article
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Performance Analysis of IEEE 802.22 Wireless Regional Area Network with Different Modulation Schemes and Code Rates: A Review
Abstract: Abstract: The wireless regional area network (WRAN) is an IEEE 802.22 standard. It operates in the very high frequency and ultra-high frequency range. It works on the principle of cognitive radio. The basic objective of WRAN is to sense the available frequency spectrum and assign this sensed frequency to the secondary user. The performance of the network strongly depends on the wireless environment and different channel conditions. In this paper, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 6, Issue 3, 2019 · pp. 12–17 Read article
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Analysis of Field Distribution in Optical Fibre Using FEM Method
Abstract: The application of the linear Finite Element Method (FEM) to the analysis of the field distribution in optical fibres is examined in this work. Characterizing fibre characteristics like mode profiles, propagation constants, and dispersion, all of which are critical for maximizing fibre performance in a variety of applications like sensing and telecommunications, requires an understanding of the distribution of electric and magnetic fields. In order to accurately determine the modal …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 2, 2025 · pp. 31–40 Read article
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Taguchi Design for Optimization of Reinforcement at Toe area of Carbon Fiber Foot Plate
Abstract: This paper uses the Taguchi method to design experiments to determine the effect of various factors, such as fiber orientation, fiber type, and number of layers, on the reinforcement at the toe area. The experiments are Taguchi method, which allows for identifying the optimal combination of factors that minimize the carried out using a combination of computer simulations and physical tests. The results are analyzed using the variability in the …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 115–121 Read article
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Human Motion Recognition Using Optical Flow Based Particle Filtering
Abstract: ABSTRACTHuman motion recognition has been a significant topic in computer vision due to its numerous applications such as video surveillance, human machine interaction and video retrieval. One core difficulty behind these applications is mechanically identifying low-level actions and high-level activities of concern. This paper presents a technique of automatically identifying the motion accomplished by humans. The speeded up robust features (Optical flow with kinetic energy algorithm) are made use of, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 1–9 Read article
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Modeling Dispersed Count Data: Evaluating the Conway–Maxwell–Poisson Regression with COVID-19 Mortality Data
Abstract: Count data are prevalent in diverse fields such as biology, healthcare, psychology, and marketing, characterized by non-negativity and inherent heteroskedasticity, often exhibiting overdispersion or underdispersion. Traditional Poisson regression, which assumes equal mean and variance, is inadequate for such dispersed data. To address this, various generalized linear models (GLMs) and their extensions, including negative binomial (NB) and Conway–Maxwell–Poisson (CMP) regressions, are utilized. This study evaluates the performance of CMP regression compared …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 18–26 Read article
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Experimental Analysis and Design Proposal of Banana Fiber Reinforced Polymer Composites and Computer Analysis
Abstract: This study presents a comprehensive experimental investigation and design model development using banana fiber reinforced polymer (BFRP) composites. The primary aim is to evaluate the mechanical and physical performance of the composite, with particular emphasis on tensile strength, flexural strength, and water absorption characteristics. These properties are critical for applications in industries such as transportation and construction, where durability, lightweight materials, and cost-effectiveness are essential. Banana fibers, being natural, renewable, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 901–907 Read article
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Solar Panel Defect Detection Using Geospatially-Aware Deep Learning framework
Abstract: Large-scale photovoltaic (PV) systems demand reliable inspection techniques to maintain efficiency, as manual methods remain labor-intensive and inconsistent. This study introduces a geospatially informed deep learning framework for defect detection and localization in PV panels from drone and satellite imagery. The framework incorporates an adaptive tiling mechanism that adjusts tile boundaries according to object size, reducing information loss and enhancing detection performance. In addition, coordinate transformation between image pixels and …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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Smart EV Charging Infrastructure using IoT
Abstract: The Smart EV Charging Infrastructure employs IoT technology, cloud computing, and real-time monitoring to offer an easy and efficient charging experience for electric vehicle owners. The system is designed to enhance charging station operations by incorporating secure transactions, integration of renewable energy, and automated processes. It includes infrared sensors for slot detection, wireless inductive charging, dynamic billing, and RFID authentication, providing convenience and security. The system incorporates ThinkSpeak and ThinkView …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 2, 2025 · pp. 13–22 Read article
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Security Using Identity Based Cryptography
Abstract: In today’s world, lots of transactions are carried out online via various applications using computer networks. Such sensitive information must be protected against any vulnerability. On the other hand, networks are becoming infrastructure less, dynamic in topology, nodes are mobile and with limited resources, communication links are not secured and mostly wireless. This has made security a very difficult task and concentrated efforts are required to design a specialized security …
Published in Journal Of Network security · Vol. 5, Issue 1, 2017 · pp. 39–47 Read article
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To Detect and Overcome Sinkhole Attack in Mobile Ad-hoc Network
Abstract: Mobile ad-hoc network abbreviated as MANET is most emerging and highly demanding wireless network technology. Due to the property of self-deliberate, where all points of network behave like source or router and also, all nodes keep on moving freely in network area. Mobile ad hoc network performs important role in connectionless environment. Security is the most fundamental requirement in mobile ad hoc network to secure the sensitive information from hackers. …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 3, 2015 · pp. 1–8 Read article
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Corrugated Tube Shell-and-Tube Heat Exchanger Using Epoxy-Based Polymer Composite Coatings for Lightweight and Efficient Thermal Systems
Abstract: Corrugated tube geometries are widely recognized for their ability to enhance heat transfer through boundary layer disruption and secondary flow generation. In this study, a combined experimental and computational investigation is carried out to evaluate the thermo-hydraulic performance of a shell-and-tube heat exchanger incorporating corrugated stainless steel tubes integrated with an epoxy-based polymer composite coating and housed within a mild steel shell. Unlike conventional metallic systems, the present work introduces …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 603–617 Read article
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Anthrax Toxin Time-Resolved Absorption and Resonance FT-IR and Raman Biospectroscopy and Density Functional Theory (DFT) Investigation of Vibronic-Mode Coupling Structure in Vibrational Spectra Analysis
Abstract: Anthrax toxin is a three-protein exotoxin that is secreted by the bacterium's virulent strains, the anthrax causative agent Bacillus anthracis. Harry Smith first found the toxin in 1954. Anthrax toxin consists of a protein called a protective antigen (PA) binding cell protein and two enzyme parts called an edema factor (EF) and a deadly factor (LF). These three protein components act together to impart their physiological effects. Assembled complexes containing …
Published in Research and Reviews : Journal of Computational Biology · Vol. 8, Issue 2, 2019 · pp. 23–51 Read article
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DFT/Data Guided Predictive Modelling of Absorption Maxima in the OLED Rubrene Derivatives
Abstract: This study investigates the optical properties of rubrene derivatives to develop an accurate predictive model for absorption maxima using computational chemistry and chemoinformatic techniques. We benchmarked various quantum chemical methods, identifying that the M06-2X/aug-cc-pVDZ method in dichloromethane (DCM) provided the strongest correlation with experimental data. Key molecular descriptors such as band gap, ionization potential, and electrophilicity index were calculated and analyzed using principal component analysis (PCA) to identify significant factors …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 41–56 Read article
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Texture Segmentation Using Multichannel Filtering And Kohonen’s Self Organizing Map
Abstract: The texture is very important cue in region based segmentation of images. Texture features play a very important role in computer vision and pattern recognition. Texture segmentation can be broken down into two areas, feature extraction and clustering. In this paper, we implement two stage of feature extraction technique using multichannel filter and Self Organizing Map (SOM). Firstly, we go through channel filters, also known as 2-D Gabor functions. The …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 3, Issue 3, 2012 · pp. 17–30 Read article
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Statistical Modeling of Heat Transfer and Fluid Dynamics: Application in Mechanical Engineering Design
Abstract: Understanding and optimizing the intricate processes involved in heat transfer and fluid dynamics—two concepts essential to mechanical engineering design—require statistical modeling. Engineers can forecast, regulate, and enhance the performance of systems including heat exchangers, turbines, cooling mechanisms, and different fluid machinery by using statistical approaches. In order to address uncertainties, variability in material properties, boundary conditions, and operational parameters, this work investigates the integration of statistical modeling tools in the …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 2, 2024 · pp. 18–22 Read article
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Design a Framework for Cybersecurity Using Steganography
Abstract: AbstractNowadays with the rapid increase in transmitting data’s through computers, securing these transmitted data is mandatory. The most common and desired technique used to secure these data is Cryptography. Cryptography consists of two steps, namely Encryption and Decryption. But they are not much safe compared to steganography. This study aims to design a framework for cyber security using steganography to increase the security level of data to be transmitted, using …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 6, Issue 1, 2019 · pp. 1–6 Read article
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Advances in Pipe Flow Systems, Turbulence, and Combustion Processes in Fluid Mechanics
Abstract: Fluid mechanics plays a critical role in the design and optimization of engineering systems involving fluid transport, energy conversion, and thermal processes. This review presents recent advances in pipe flow systems, turbulence behavior, and combustion processes, highlighting their interdependence in modern applications. Pipe flow systems are essential in industries such as water distribution, oil and gas transport, and chemical processing, where flow characteristics are influenced by factors such as pressure, …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 1, 2026 · pp. 1–7 Read article