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503 articles for “high-performance computing”
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AI Driven IoT based Satellite remote sensing system: KSK Approach in Satellite Remote Sensing
Abstract: The convergence of the Internet of Things (IoT) and satellite remote sensing has traditionally been bottlenecked by massive data latency and limited downlink bandwidth. This paper proposes a decentralized framework for an "AI-Driven IoT-based Satellite Remote Sensing System," which shifts the paradigm from raw data transmission to onboard edge-intelligence. By integrating lightweight convolutional neural networks (CNNs) directly into satellite payloads, the system performs real-time feature extraction and anomaly detection before …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 50–57 Read article
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A Deep Survey on Techniques Used to Recognize Locust Based on CNN
Abstract: The major threat in agriculture is insect pests and crop disease. Outbreaks and upsurges of insects can cause huge loss to crop production. Locusts are crop devouring pests found in many parts of the world. Recognition of locusts in early stage helps to prevent the spread of locusts by taking appropriate counter-measures and biological control methods. Initially, locusts were classified and recognized manually which is time consuming and requires taxonomic …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 1, 2021 · pp. 1–8 Read article
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A Comprehensive Review on Nanostructured Polymer Composites for CT Imaging Contrast Enhancement in Brain Tumor Diagnosis
Abstract: The detection and characterization of brain tumors require high-resolution and non-invasive imaging modalities that have the ability of differentiating tumorous tissues and healthy brain tissues. Computed tomography (CT) can be included in this number because, in addition to providing speedy scans and penetration to deep tissue, the diagnostic capability in soft tissue organ such as the brain is poor despite low natural contrast. The review is dedicated to the emerging …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 148–162 Read article
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Comparative Analysis of AI-Based Approach vs. Traditional Methods in Climate Modeling
Abstract: Climate modeling helps to predict the future of climate variations and human interference with environment. The traditional General Circulation Models (GCMs) are based on physics-derived mathematical equations but are very expensive in terms of computation. There are alternative ways to perform climate modeling in recent years with the rise and improvement of Artificial Intelligence (AI) based approaches in term of predictability, efficiency, and classification of extreme events compared to conventional. …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 26–32 Read article
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Optimizing Vehicle Structures Using Functionally Graded Materials of Aluminum and Carbon Fiber Reinforced Polymer Composites
Abstract: This article investigates the optimization of vehicle structures through application of functionally graded materials (FGMs), specifically aluminium and carbon fibre reinforced polymer (CFRP) composites. Such materials, known as FGMs, are characterized by spatial variations in composition and structure designed to improve so-called performance attributes. For the purposes of this research, the material properties of aluminium and CFRP composites are taken to be randomly distributed in thickness direction of a FGM …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 478–489 Read article
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Optimized Design and Control of Oil Exploitation Strategies: An Assisted Approach
Abstract: Because there are so many factors and scenarios to consider, optimizing oil exploitation tactics requires complicated decision-making. Conventional approaches frequently concentrate on particular elements of the design infrastructure, which restricts their capacity to fully handle the process. In order to maximize a set of oil exploitation variables in a hierarchical fashion, this research proposes a novel assisted optimization technique that combines mathematical algorithms with engineering analysis. By grouping variables into …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 29–34 Read article
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From Noise to Insight: An Academic Study of Electrical Signal Processing
Abstract: Electrical signal processing is very important for turning raw, often noisy data into useful and actionable information. This article gives a simple and easy-to-understand summary of the basic ideas and methods used in electrical signal processing, such as filtering, signal representation, modulation, and spectrum analysis. The focus is on how to effectively eliminate noise and interference to improve the quality and dependability of signals. The conversation connects ideas from theory …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 · pp. 10–21 Read article
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Comparative Study of Schedule Analysis Using Earned Value and Earned Schedule Methods on Two Distinct Construction Projects
Abstract: This paper focuses on how Earned Value (EV) and Earned Schedule (ES) is used for schedule analysis to monitor the progress and forecast important information in schedule; well before it is too late to make any corrective changes. Two case studies are adopted here. Using Earned Value, its monthly performance is computed along with project completion date is forecasted. The reliability of the two methods is compared using correlation analysis …
Published in Journal of Construction Engineering, Technology & Management · Vol. 5, Issue 3, 2015 · pp. 1–5 Read article
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Perspectives of Cloud Computing Management: An Overview
Abstract: AbstractCloud computing is not limited to reduce the capital expenditure but also used to perform trillions of computations per second in consumer-oriented applications such as financial portfolios to deliver personalized information, to provide data storage or immersive computer games. The purpose of the paper is to provide an overall management perspective of cloud computing with the aim to highlight the management that should be properly addressed and managed to realize …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 3, 2015 · pp. 72–82 Read article
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A Survey Paper on Smart Path Algorithm for Ant Colony Optimization
Abstract: Apart from the tremendous research being executed, ad hoc networks is the huge issue for various researchers. Ad hoc network routing is particularly most challenging issue because of its power energy, dynamic nature and inadequate bandwidth. Someway, techniques which are based on the SI for example algorithms of ACO have presented to be a perfect method for developing algorithms of ad hoc networks routing. ACO routing is an effective routing …
Published in E-Commerce for Future & Trends · Vol. 3, Issue 1, 2016 · pp. 1–9 Read article
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Innovating Sustainably: The Role of Generative Design in Sustainable Technology Development
Abstract: As industries strive for sustainability, generative design has emerged as a transformative approach in engineering, offering solutions that minimize environmental impact while optimizing product performance. Based on established features, including material, size, weight, and performance standards, generative design generates an immense amount of design options using machine learning and artificial intelligent algorithms. Unlike traditional design, which relies on human intuition, generative design automates the exploration of solutions, ensuring material efficiency, …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 1, 2025 · pp. 39–45 Read article
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Evaluation of Critical MMAW Welding Defects Using Computer Simulation in Industrial Manufacturing Systems
Abstract: Manufacturing is one of the key sectors of any countries GDP and welding is one of the prime manufacturing processes of the manufacturing sector. Welding has several notable advantages over mechanical joining techniques, including higher structural integrity, design flexibility, and cost and weight lowers. Welded products/structures are subjected to serious issues of residual stresses and distortions. The performance and sturdiness of the welded structures are severely impacted by weld remaining …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 18–26 Read article
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An Overview of the Design and Optimization of Antennas Employing Machine Learning Algorithms and Methodologies
Abstract: This paper offers a comprehensive exploration of the integration of machine learning (ML) techniques in antenna design and optimization, reflecting the burgeoning interest and potential impact of ML in emerging technologies. The first segment conducts a detailed literature survey, elucidating conventional computational electromagnetic and numerical methods preceding an in-depth discussion on the core facets of ML, encompassing diverse learning categories and frameworks. Additionally, it provides a mathematical exposition on regression …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 3, 2023 · pp. 1–12 Read article
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The Power of the Shell: A Deep Dive into Shell Programming Techniques
Abstract: Shell programming is a fundamental skill in Unix/Linux environments, enabling users to automate tasks, streamline workflows, and enhance system efficiency. This paper, “The Power of the Shell: A Deep Dive into Shell Programming Techniques,” explores the core concepts, commands, and strategies that make shell scripting a powerful tool for both novice and advanced programmers. By examining key elements such as control structures, file manipulation, process management, and error handling, the …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 3, 2024 · pp. 41–50 Read article
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Fractal-Entropy Guided Adaptive Signal Reconstruction for Non-Stationary Biomedical and Communication Systems
Abstract: This paper presents a novel Fractal-Entropy Guided Adaptive Signal Reconstruction (FEG- ASR) framework designed for accurate processing of non-stationary signals in biomedical and communication systems. The proposed approach integrates fractal dimension analysis with entropy- based feature evaluation to capture the intrinsic complexity and irregularity of time-varying signals. By dynamically adapting reconstruction parameters based on fractal-entropy measures, the method effectively separates noise from meaningful signal components while preserving critical information. The …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 · pp. 22–33 Read article
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Design and Implementation of Low Latency 16-bit Full Adder
Abstract: In the new age world, modern technology has vast applications in various fields of engineering, medicine, and others. Digital electronics processing and systems play a vital role in the analysis and computation of data representation. Electronic systems have gradually become faster and smaller scale. The primary structural element of any modern ALU-based processor is an adder. Addition is a well-known extremely basic function that is employed in nearly all computing …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 3, 2024 · pp. 21–31 Read article
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Performance Analysis of Network Based Cellular Positioning Techniques in UMTS Networks
Abstract: In the current scenario location estimation is a very challenging field in case of UMTS networks, as the utility is very high in the LBS application with respect to various aspects. So, performance analysis of cellular positioning techniques is carried out in this paper using three mostly used network based techniques likely RSSI, TOA & AOA, where the nodes are assumed to be static at the time of computation of …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 2, Issue 2, 2015 · pp. 25–34 Read article
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Optimization of Hybrid Precoding in Massive MIMO using Kalman’s Algorithm
Abstract: The ever-growing demand in the market for the high data rate and high spectral efficiency increases the need to use the available band ofspectrum more efficiently. The future is dependent on using the frequency bands more efficiently. The most recent and trending 5G technologyuses the mm Wave band for its transmission. This band in the 60 GHz frequency uses MIMO systems along with many other leadingtechnologies or methodologies like hybrid …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 2, 2023 · pp. 7–19 Read article
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Biomimicry of Eucalyptus Leaf Design for Optimization and Fabrication of Airfoil
Abstract: Biomimicry is the practice of drawing inspiration from natural forms to solve engineering problems, which has become progressively popular for refining design efficiency and performance. This work discovers how biomimicry can be applied to airfoil design, precisely through the unique structure of Eucalyptus leaves, a concept rarely explored in airfoil profiling. The work presented here, focuses on enhancing airfoil designs by incorporating the intricate features of these leaves. The airfoil …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 359–372 Read article
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ANN Approach to Forecasting the Strength of Nano Silica Incorporated Geopolymer Composite
Abstract: Coal and steel industry by-products, such as fly ash (FA) and blast furnace slag (GGBS), have gained significant attention as precursors for geopolymer concrete (GPC) due to their high aluminosilicate content, offering a sustainable alternative to conventional cement. Nano silica (NS), recognized for its exceptional pozzolanic activity and ability to refine microstructure, has shown potential to enhance the mechanical and durability properties of GPC. This study investigates the influence of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 267–278 Read article