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503 articles for “high-performance computing”
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Strategic Library Automation: A Practical Approach
Abstract: Library automation is not new in the library and information science discipline these days; however particularly in India it is not much practiced on the ground reality. Library automation deals with automating the library services that are performed by human beings. Computerized data management and application of information and communication technology (ICT) are intrinsic parts of library automation. Sometimes, computerization is synonymously used with automation in the context of library …
Published in Journal of Advancements in Library Sciences · Vol. 4, Issue 3, 2017 · pp. 27–30 Read article
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Accelerating Unsupervised Feature Learning: Parallelized Training of Denoising Autoencoders
Abstract: Unsupervised representation learning has become a cornerstone of contemporary machine learning, enabling algorithms to extract informative features from un-labelled, high-dimensional data. This work investigates the efficacy of stacked denoising autoencoders (SDAEs) trained via parallelized stochastic gradient descent (SGD) as a scalable approach to feature extraction. By strategically leveraging multi-threaded computation, our study systematically examines the trade-offs between increased parallelism, training efficiency, and the preservation of model accuracy. Experiments on the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 56–64 Read article
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SkinSight: Design and Implementation of an Intelligent Skin Type Detection System
Abstract: Identifying an individual’s skin type accurately is essential for creating personalized dermatological treatments and formulating skincare products that genuinely meet user needs. In this project, a real- time skin type classification system is developed using a combination of convolutional neural networks (CNNs) and modern computer vision techniques. The system processes live video streams, isolates the facial region through Haar cascade–based detection, and applies a series of preprocessing steps to enhance …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 35–45 Read article
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A Comparative Machine Learning Framework for Early Prediction of Liver Cancer Using Clinical Attributes
Abstract: One of the main causes of cancer-related death globally is liver cancer, and improving patient outcomes depends heavily on early detection. However, low contrast, noise, organ similarity, and tumor shape and size variability make it difficult to accurately identify and segment liver tumors from medical imaging. Automated liver cancer diagnosis, segmentation, and prognosis have been greatly improved by recent developments in artificial intelligence (AI), especially deep learning. This work presents …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 · pp. 39–47 Read article
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Perception of Nursing as a Career Choice among Natural Science Preparatory School Students in Hawassa City, South Ethiopia
Abstract: Background: Nursing is a frontline of all aspects of human health and peaceful death. Studies suggest that early high school students’ perception of nursing as a career of choice directly or indirectly impacts the health industry. High school students are a pipeline for future nursing. High school students who understand nursing as a career choice in the future contribute a lot of things and retention the work area. Throughout our …
Published in Research and Reviews: A Journal of Health Professions · Vol. 7, Issue 3, 2017 · pp. 14–22 Read article
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A Hybrid Multi-Physics Ensemble Deep Learning Framework for Simultaneous Prediction of Thermal and Electrical Conductivity in Functional Polymer-Based Nanocomposites
Abstract: Polymer-based nanocomposites have become promising materials for applications in energy storage, flexible electronics, biomedical devices, aerospace components, and advanced engineering because of their tunable thermal and electrical properties. Reliable prediction of these properties is essential for accelerating material design; however, existing analytical models and conventional machine learning techniques often fail to represent the complex interactions among filler characteristics, polymer matrices, processing conditions, and interfacial transport phenomena. This work presents HMEP-Net, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1062–1082 Read article
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Modeling and Simulation of Spiral Plate Heat Exchanger
Abstract: The spiral-plate heat exchanger (SHE) offers efficiency in spacing and reduces heat losses. SHE’s offer high reliability, lower spaces occupancy, high heat transfer coefficient and on-line performance in many severely fouling services such as slurries. Experimental investigations were conducted in a spiral plate heat exchanger with hot water as the service fluid and cold water in different flow rates as the cold process fluid. The experiments were conducted essentially in …
Published in Journal of Thermal Engineering and Applications · Vol. 1, Issue 1, 2014 · pp. 22–29 Read article
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Design and Manufacturing of Suspension and Steering System of a F3 Vehicle
Abstract: The suspension and steering systems are critical subsystems of any formula-style racing vehicle, directly influencing its stability, handling, and driver safety. This paper focuses on the design, analysis, and manufacturing of suspension and steering systems for a Formula Student F3 vehicle. The primary objective is to develop a lightweight, reliable, and efficient design that complies with Formula Student competition rulebooks while ensuring optimum ride quality and performance. Using advanced computer-aided …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 1–12 Read article
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Flame-Retardant Polymeric Materials: Recent Advances and Future Directions
Abstract: This review explores essential flame-retardant polymers that play a vital role in various industries such as electrical & electronics, automobile, manufacturing, and firefighting. This review also highlights the latest progress in the design and synthesis of flame-retardant polymers, highlighting novel approaches such as the incorporation of nanomaterials, bio-based flame retardants, and the use of intumescent systems. Recent advancements include high-throughput screening, computational design, bio-based and sustainable flame retardants, self-healing materials, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 125–132 Read article
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Advancements and Challenges in Automated Guided Vehicles for Smart Industrial Automation
Abstract: Automated Guided Vehicles (AGVs) are increasingly central to modern industrial automation, enhancing operational efficiency in manufacturing, warehousing, and logistics. Traditionally reliant on fixed paths using magnetic tapes or wired tracks, AGVs were limited in flexibility. However, recent technological advances have enabled the development of autonomous AGVs equipped with sensor fusion, LiDAR, computer vision, and artificial intelligence (AI). These features support real-time obstacle detection, dynamic path planning, and robust performance in …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 1–5 Read article
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Java’s Enduring Popularity: Unraveling the Factors Behind Its Preference
Abstract: Java remains one of the most widely used programming languages across various industries, owing to its robust architecture, platform independence, and extensive ecosystem. Its versatility, scalability, and security make it a preferred choice for developing a wide range of applications, from enterprise software to mobile and web solutions. This study delves into the key factors contributing to Java’s sustained relevance in software development, highlighting its adaptability to evolving technological trends. …
Published in Recent Trends in Programming languages · Vol. 12, Issue 1, 2025 · pp. 8–15 Read article
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AI Powered Fault Detection in DC Motor using STM32
Abstract: This work presents the design and implementation of an embedded artificial intelligence system for real-time fault detection in a direct current (DC) motor using the STM32 Nucleo- F411RE microcontroller. The objective of the study is to develop a low-cost and efficient predictive maintenance solution capable of identifying abnormal motor behavior at an early stage. Vibration and temperature signals are acquired using an MPU6050 sensor and processed directly on the microcontroller …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 39–49 Read article
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Performance Improvements in Thin Client Through Software Fault Tolerance
Abstract: Normal 0 false false false EN-US X-NONE X-NONE We have already moved towards hi-tech technology in each field of study in a cost effective manner. Thin client technology boasts of an impressive range of financial, technical, and administrative benefits combined with virtualization technology, higher bandwidth availability, and cheaper and high performance processors. In thin client systems, the server must function with a very high availability even under any fault condition. …
Published in Current Trends in Information Technology · Vol. 1, Issue 2-3, 2011 · pp. 16–21 Read article
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Optimum Setting of Distance Protection Scheme for HV Transmission Line
Abstract: Protective relays in a power system are used to detect system abnormalities and to execute appropriate commands to isolate swiftly only the faulty component from healthy system. One of the protective relay is the distance relay. When the fault occurs it is seen that large amount of current flows through the network. The distance relay detect the over current by measuring the impedance of the transmission line and send the …
Published in Journal of Power Electronics and Power Systems · Vol. 3, Issue 2, 2013 · pp. 23–36 Read article
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Secured IPv6 based IoT Programming using Contiki and Cooja
Abstract: ABSTRACTThe current era is surrounded with enormous devices and gadgets connected with each other using high performance technologies. Such type of technology loaded object communication is treated under the aegis of Internet of Things (IoT). A number of applications are using IoT based communication whether it is related to defense equipments, smart cities, smart offices, highway patrolling, smart toll collections, business communications, satellite televisions, traffic systems or interconnected web cams …
Published in Journal of Web Engineering & Technology · Vol. 4, Issue 2, 2017 · pp. 9–14 Read article
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A Review on AI and Machine Learning for Predictive Maintenance and FDD in RAC Systems
Abstract: The paper reviews the existing AI/ML methods first in the general context of predictive maintenance and FDD of RAC systems, then specifically focusing on granular cooling appliances. Perspectives and insights are provided on the reasons why potentially valuable models do not make it into practice more often, and where future research and development should be headed. New emerging topics for decision support systems to include domain knowledge and physics-based modeling …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 13, Issue 1, 2026 · pp. 15–25 Read article
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Bearing Fault Analysis using Variational Mode Decomposition
Abstract: Bearing health analysis plays a significant role in industry to improve reliability and performance of critical processes by alarming the faults at early stages. Conventional techniques do not guarantee to detect the faults at early stages because the low energy bearing frequencies get suppressed by stern noise and higher vibrations. The fast Fourier transform (FFT) fails to analyze the transient and nonstationary signals directly. This paper performs the signal analysis …
Published in Journal of Instrumentation Technology & Innovations · Vol. 4, Issue 2, 2014 · pp. 20–27 Read article
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Numerical Simulation and Performance Characteristics of Solid-state Dye-sensitized Solar Cell using SCAPS 1D
Abstract: In this research article, we studied the optimization and performance of a titanium oxide (TiO2) working electrode for the manufacture of solid-state dye sensitized solar cell (so-DSSC). The structure of solid-state dye sensitized solar cell used in current work is composed of FTO/TiO2/N719/PEDOT: PSS/Pt. The only variable for simulation is absorber layer. The computational simulation findings indicate that parameters of solid-state DSSC such as VOC, JSC, FF and PCE are …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 23, Issue 2, 2021 · pp. 1–11 Read article
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Thermal Performance Analysis and Optimization of Pin-Fin Heat Sink Using CFD, Taguchi Method, and Machine Learning
Abstract: Efficient thermal management is essential for improving the performance and reliability of modern engineering systems and electronic devices. This study presents the design, simulation, and optimization of a pin-fin heat sink using SolidWorks for three-dimensional modeling and ANSYS for thermal and computational fluid dynamics (CFD) analysis. Four different pin-fin geometries, namely square, pentagon, octagon, and circular fins, are considered to evaluate their thermal performance under varying operating conditions. Aluminum is …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 8–20 Read article
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Learning-based Edge Detection for Video Sequences
Abstract: The advancing fields in video technology like that of 3D TV and Free Viewpoint Video essentially requires more information to transmit in addition with the 2D color maps. This information is the depth maps of the accompanying scenes from the videos sequences in order to facilitate rendering of arbitrary viewpoints within it. Soft computing approaches such as consisting of fuzzy logic, neural or evolutionary computation are the emerging fields with …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 3, 2015 · pp. 1–19 Read article