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559 articles for “computational requirement”
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A Review on Software Simulation of Mechanical Structures Using FEA
Abstract: In this paper author aims to study the various researches based on simulation using various FEA software to design and analyze mechanical structures, which can be helpful to identify the suitability of particular software for its specific application, and to evaluate the best suitable methodology used by software for design and analysis of complex geometry. This study is helpful to reduce a computation requirements and improves accuracy in result.Cite this …
Published in Trends in Mechanical Engineering & Technology · Vol. 5, Issue 3, 2015 · pp. 1–7 Read article
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Air Computing: A Parallel Computing Module for Offloading Computational Workload on Neighboring Android Devices
Abstract: Developing complex applications which requires the increasing computational requirements is sophisticated and remains a daunting task. For application developers, countering the real-time computing in mobile devices has always remained a demanding job to ask for more computational power and energy usage than that offered by devices of present generation. In this paper, the author presents an out of the box air computing technology which aids the developers to run real-time …
Published in Recent Trends in Parallel Computing · Vol. 1, Issue 3, 2014 · pp. 10–13 Read article
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Hybrid Best-Response Algorithms for Mobile Computing Offloading: A Comprehensive Review
Abstract: The exponential growth of mobile applications with intensive computational requirements has necessitated innovative offloading strategies in mobile computing ecosystems. This comprehensive review examines hybrid best-response offloading algorithms integrated with game-theoretic optimization frameworks to address resource allocation challenges in mobile edge computing (MEC) environments. The proliferation of Internet of Things (IoT) devices and bandwidth-intensive applications has created unprecedented demands on mobile network infrastructure, compelling researchers to develop sophisticated offloading mechanisms that …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 2, 2025 · pp. 20–26 Read article
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Multi-population Search Engines for Topology Optimization of Continuum Structures
Abstract: This paper deals with the complex design domains, which usually require higher computational effort, and further tuning of parameters for algorithms is not practicable in terms of time and effort required. Multi search engines can be one such option wherein the search particles in groups are searching the design domain. Aqua search metaheuristic optimization algorithm is used to effectively explore and exploit the search domain. It is observed that this …
Published in Recent Trends in Civil Engineering & Technology · Vol. 7, Issue 1, 2017 · pp. 17–23 Read article
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The Impact of High-Performance Computing on FEA and CFD Simulations
Abstract: The integration of advanced simulation techniques, such as Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD), has transformed mechanical design by enabling engineers to develop optimized, efficient, and reliable systems. FEA is widely applied to analyze structural mechanics, thermal stresses, and vibrations, offering detailed insights into material behavior and design performance. On the other hand, CFD focuses on simulating fluid flow, heat transfer, and aerodynamic performance, making it indispensable …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 26–35 Read article
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Minimization of Energy Consumption in Cloud Computing
Abstract: AbstractCloud computing gives a huge advantage to the clients over the globe. However, on the other side of the picture cloud computing requires huge data centers to fulfill the requests provided by the clients over the globe and during this process a large amount of energy is consumed and a huge amount of CO2 is emitted which results in global warming. Since energy has been the prime concern in near …
Published in Journal of Advanced Database Management & Systems · Vol. 6, Issue 1, 2019 · pp. 33–38 Read article
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Algorithmic Strategies for Complex Data Handling: Optimizing Data Structures for Enhanced Computational Performance
Abstract: We live in an age of big data and processing very large often complicated datasets can be crucial to efficient algorithmic performance. This paper discusses different algorithmic techniques when working with difficult data and how to arrange your information structures correctly for better functionality in large-scale methods. It checks the impact of different algorithms like sorting, searching, and hashing in boosting its processing speed as well as memory use. This …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 1–10 Read article
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Quasar: Quantum-Accelerated Sustainable Anomaly Recognition in Climate Systems
Abstract: Accurate detection of climate anomalies is vital for disaster alleviation and policy making in a sustainable manner, but customary detection methods face the challenges of computational inefficiency and physical inconsistency. In this study, we propose a novel approach called Quantum-Optimized Fuzzy Physics-Informed Neural Networks (QFuzzy-PINNs), which integrates quantum computing, fuzzy logic, and physics-informed deep learning. As a first step, we employ quantum annealing for conventional optimization to adjust multiple Gaussian …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 18–27 Read article
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A Comparative Study on Evolutionary Algorithms to perform Isogeometric Topology Optimisation of Continuum Structures using Parallel Computing
Abstract: The optimization of computational performance along with the topology optimization of structures is the main focus of this study. The computational performance of the program is enhanced using two search engines in parallel. The search process is done using a least pop size which has reduced the number of computations required to optimize the objective function. The geometry can be exactly represented using isogeometric basis functions where the same basis …
Published in Journal of Aerospace Engineering & Technology · Vol. 8, Issue 1, 2018 · pp. 51–58 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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Unleashing the Power of Mathematics in Natural Language Processing: Sentiment Analysis Perspectives
Abstract: Sentiment analysis (SA), which utilizes natural language processing (NLP), computational linguistics, text analysis, image processing, and video processing to extract and analyze subjective information from the internet, social media, and other sources, is becoming increasingly popular in both the business world and the scientific community. It is even possible to model it so that it focuses on polarity, sentiments and emotions, urgency, and even goals. It is able to distinguish …
Published in Recent Trends in Programming languages · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article
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Automated Suspicious Activity Detection in Video Surveillance Using Deep Learning: A Review
Abstract: In the current era of advanced security systems, video surveillance plays an essential role in ensuring safety by detecting suspicious activities. With the increase in real-time data, manual monitoring has become impractical, paving the way for automated surveillance systems utilizing machine learning (ML) and artificial intelligence (AI) technologies. This paper explores the integration of ML and AI models, specifically convolutional neural networks (CNNs) and long short-term memory (LSTM) networks, for …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 20–27 Read article
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Pathophysiology Reimagined: Integrating Systems Biology and AI for Disease Understanding
Abstract: Pathophysiology, the study of disease mechanisms at molecular, cellular, and systemic levels, has traditionally relied on reductionist approaches that often fail to capture the complex, dynamic, and interconnected nature of biological systems. Diseases such as cancer, neurodegenerative disorders, and infectious diseases arise from intricate interactions among genetic, epigenetic, metabolic, and environmental factors, necessitating integrative, data-driven methodologies for a deeper understanding. Systems biology has emerged as a powerful approach by leveraging …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 2, 2025 · pp. 63–71 Read article
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Hardware Design using Flexible Hk-Means
Abstract: High performance hardware is required to meet the necessities of consumer electronics. Color quantization and image partition are an inevitable part for different applications, and HKMeans is the main algorithm that is used for color quantization and image partition owing to its low cost, less computational time and the hardware area required. The computational time and the hardware area increases as the quantization number increases. Hierarchical K-means or HK-Means is …
Published in Journal of Electronic Design Technology · Vol. 6, Issue 1, 2015 · pp. 30–35 Read article
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Generative Design of Bioactive Orthopedic Composites for Fracture Repair Using an Integrated Conditional GAN–Transformer Framework: A Multi-Objective Approach
Abstract: Orthopedic composite implants for fracture repair must simultaneously satisfy conflicting mechanical and biological demands: high fracture toughness, sufficient compressive stiffness, and bioactive surface chemistry enabling osteoblast adhesion and mineralization. Existing design approaches rely on trial-and-error experimentation, yielding sub-optimal trade-offs between these objectives. This paper presents an integrated conditional Generative Adversarial Network–Transformer (cGAN-T) framework for fully computational, multi-objective generative design of hydroxyapatite (HA)-reinforced polymer composite microstructures targeting Orthopedic fracture repair. A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 21–35 Read article
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A Survey on Different Approaches of Attribute based Encryption For Cloud File System
Abstract: Cloud computing has emerged as a solution for organizations that desire services on lease. It enables convenient and on-demand network access to a centralized pool of configurable computing resources. Among many of its applications, File distributing and sharing is one of the most commonly used services in cloud computing. The requirement of data security grows with the faster growing cloud computing. One feasible solution is Attribute based encryption (ABE). In …
Published in Current Trends in Information Technology · Vol. 4, Issue 1, 2014 · pp. 1–3 Read article
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Numerical Simulation and Design of Efficient Brain Tumor Segmentation with Hybrid Fuzzy K-Means Clustering Technique
Abstract: The goal of this study is to detect brain cancers from MRI images using a Matlab GUI interface. Using the GUI, this application may employ numerous combinations of segmentation, filters, and other image processing methods to produce the best results. We begin by applying the Prewitt horizontal edge-emphasizing filter on the image. “Watershed pixels” are the next step in detecting tumours. The most essential aspect of this project is that …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 3, 2021 · pp. 8–17 Read article
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A Memory Efficient No List SPECK (NSK) Wavelet Image Coder for Memory-constrained Applications
Abstract: In this paper, a fast and memory-efficient listless version of set-partitioned embedded block (SPECK) image coder is proposed. Due to the use of linked lists, the original SPECK algorithm requires large run-time memory, making it unsuitable for memory-constrained applications. The proposed coder replaces linked list with small fixed size static memory, to keep track of blocks in set partitioning only and use only two markers to facilitate coding. Replacement of …
Published in Journal of Remote Sensing & GIS · Vol. 3, Issue 3, 2012 · pp. 1–16 Read article
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Glitches in the Implementation of Bioinformatics in Medical Settings: A Comprehensive Review
Abstract: Bioinformatics is a dynamic field at the intersection of biology, computer science, and information technology, offering new possibilities in medicine by enabling a deeper understanding of genomics, molecular biology, and personalized treatment approaches. Its integration into healthcare could greatly enhance diagnostics, enable tailored treatments for individuals, and facilitate the analysis of large biological datasets. However, despite its potential, several barriers impede its successful implementation in clinical settings. These include technical …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 1–6 Read article
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Harnessing Artificial Intelligence for Precision Physics: A Machine Learning Framework for Data Reconstruction in Support of India's Deep-Tech Missions
Abstract: India's emergence as a global leader in deep-tech innovation is driven by ambitious scientific megaprojects, including the Laser Interferometer Gravitational-Wave Observatory (LIGO)-India, the X-ray Polarimeter Satellite (XPoSat), the Aditya-L1 solar observatory, and the National Quantum Mission (NQM). However, the unprecedented scale and complexity of the observational data generated by these missions present severe computational bottlenecks. Traditional analytical frameworks struggle with non-stationary noise transients, diffusion blurring, and the exponential scaling limits …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 2, 2026 · pp. 48–55 Read article