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1035 articles for “Computing Techniques”
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Hybrid Deduplication for Secure Data Sharing Using Erasure Techniques and HIDC
Abstract: Data deduplication has an important role in reducing storage consumption to make it affordable to manage in today’s explosive data growth. To overcome the problems occurring in the cloud a system is proposed, in which History Aware Inline De-duplication algorithm for checking duplicity of data before uploading it on the server is used. MD5 algorithm is used to generate the hash value of the data. Also, erasure coding is used …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 3, 2017 · pp. 34–39 Read article
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Vision Based Gesture Recognition Techniques: A Review
Abstract: With the ever-growing use of computers in the society, it is clearly seen that present popular mode of interactions with computers is mouse and keyboard. Mouse and keyboard will become an inconvenient way to convey information to the computers. Nowadays there are intelligent systems in which the flow of information takes place without any physical contact. The vision based (camera) gesture recognition has the potential to be a natural and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 3, 2015 · pp. 1–8 Read article
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Incremental Partial Update Strategies Over Distributed Networks
Abstract: This paper presents a partial update adaptive strategies based on incremental techniques. The proposed strategies apply to the problem of linear estimation with less number of computations in a cooperative manner. A partial update technique for updating the LMS filter coefficient is an effective method for reduced computational load and power consumption in adaptive filter implementation. It is promising approach to reducing complexity, potential to improve performance while permits complexity …
Published in Current Trends in Signal Processing · Vol. 5, Issue 2, 2015 · pp. 1–8 Read article
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Optimization of Lightweight Polymer Composites Using Finite Element Analysis Machine Learning and Topology Optimization Techniques for Aerospace Applications
Abstract: The advancement of aerospace engineering depends on lightweight polymer matrix composites (PMCs) because they help decrease weight while improving fuel efficiency and payload capacity together with increased structural integrity. Research developed a computer program comprising FEA with ANN and TO optimize high-performance PMCs through integrated design approaches. The combination of Python-controlled LS-DYNA simulations measured hybrid composite laminate resistance to impact while an ANN model obtained data from simulations to forecast …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 693–709 Read article
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Computational Simulations in Drug Discovery: Modeling Protein Folding and Drug Binding
Abstract: Computational simulations have become essential tools in drug discovery, offering unprecedented insights into molecular behavior at the atomic level. These simulations, particularly in the domains of protein folding and drug binding, allow for the exploration of complex biological systems that are often difficult to study experimentally. Protein folding, a critical aspect of drug discovery, involves the transition of a polypeptide chain from an unfolded to a biologically active structure. Understanding …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 23–29 Read article
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Computational and Molecular Aspects of DNA Profiling in Forensic and Biomedical Sciences
Abstract: DNA profiling has changed many diverse modern sectors, from health and criminal justice to ancestry research and animal conservation. It is one of the most important scientific instruments of our time. This technique makes it possible to identify people, analyze family relationships, and learn more about biology by looking at unique genetic markers in a person’s DNA. DNA profiling has changed the way forensic science works by making it easier …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 14–18 Read article
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Matrix Factorization and Tensor Decomposition at Scale: Mathematical Foundations and Computational Approaches
Abstract: Matrix factorization and tensor decomposition techniques have emerged as fundamental tools in machine learning and data science for handling high dimensional data efficiently. This paper presents a comprehensive analysis of scalable matrix factorization and tensor decomposition methods, focusing on their mathematical foundations, computational complexity, and practical applications. We examine key algorithms including Singular Value Decomposition (SVD), Non-negative Matrix Factorization (NMF), CP decomposition, and Tucker decomposition, with particular emphasis on their …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 56–59 Read article
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Power Management Techniques: Power Simulators and Dynamic Power Management
Abstract: Power/energy management nowadays is emerging as a significant issue in designing the modern electronic circuits to reduce electricity cost and bills, improve reliability and environment considerations. The advent demand of power-performance in parallel and distributed systems has enabled the designers to develop the energy efficient techniques that aim at minimizing the energy consumption and also satisfying the goal of little or no impact on overall performance of the system. This …
Published in Recent Trends in Parallel Computing · Vol. 3, Issue 2, 2016 · pp. 39–45 Read article
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An Introduction to Proteome Bioinformatics
Abstract: For basic and translational research, high-throughput approaches are essential. Recent improvements in proteomics techniques, for example, have allowed biomedical researchers to characterise the proteome of a variety of creatures. Proteome bioinformatics approaches and technologies have greatly aided this extraordinary progress. The study and use of informatics in the realm of proteomics is known as proteome bioinformatics. This chapter presents an overview of the computational strategies, methodologies, and techniques for bioinformatics …
Published in Research and Reviews : Journal of Computational Biology · Vol. 10, Issue 3, 2021 · pp. 7–9 Read article
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Strategies in Hybrid Evolutionary Algorithms for Optimization
Abstract: AbstractEvolutionary computing has grown to be a significant methodology in the field of research. Robustness and adaptation are some of the prime features of evolutionary algorithms as compared to other global optimization techniques. Even though evolutionary computation is popularly used for solving several important practical problems in engineering, business, commerce, etc., there is scope for fine-tuning its performance. It is not easy to find any one best algorithm for solving …
Published in Journal of Advancements in Robotics · Vol. 4, Issue 3, 2017 · pp. 29–32 Read article
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Computer, Animation and Aesthetic Expressions
Abstract: The integration of computers, animation, and aesthetic expressions has revolutionized creative industries, enabling the development of highly immersive and visually engaging content. This interdisciplinary field combines computer science, digital animation techniques, and the principles of visual aesthetics to craft experiences that resonate with audiences on both intellectual and emotional levels. Through advanced algorithms, artificial intelligence, and innovative rendering techniques, modern animation blends technical precision with artistic design to create dynamic …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 2, 2025 · pp. 01–06 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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An Unsupervised Common Sense-based Learning Framework for Emotion Detection and Classification in Textual Social Data
Abstract: AbstractEmotions are inherent to human behavior and generally expressed in response to the stimuli from the external environment or some internal processes. With the widespread use of online social platforms, people often express themselves using tweets, blogs and posts which generally include affective text. The topic of emotion detection and recognition has been widely studied in computational science and in fact a separate area “Affective Computing” is dedicated to its …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 3, 2017 · pp. 44–51 Read article
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Analysis & Detection Kidney Stone Images using Fuzzy Techniques
Abstract: Kidney Stone is the most debilitating sort in one of the deadliest malignancies type of tumor. Over the a few years the occasion of dangerous tumor has consistently reached out, considering the way that the fix of the disease depends upon its fundamental judgment. Two noteworthy sorts of lung tumor, Small cell & Non-small cell Kidney Stone. The lungs are normally sweeping in measure along these lines tumors can create …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 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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CFD Analysis and Optimization of Fin-Enhanced Cooling Systems for Enhanced PV Performance
Abstract: This study examines how the performance of photovoltaic (PV) panels can be improved by means of passive cooling techniques through fin configurations. Computational Fluid Dynamics (CFD) simulation, validated with experimental data, was used to analyse the thermal behaviour of PV modules integrated with different fin shapes, namely rectangular, trapezoidal, and triangular geometries. It was found that trapezoidal fins yield better thermal performance, lowering the panel temperature by more than that …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 1, 2025 · pp. 1–15 Read article
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Revolutionizing Optical Fibre Field Distribution with Linear Finite Element Method
Abstract: This study investigates the use of the linear Finite Element Method (FEM) for the analysis of the field distribution in optical fibres. Understanding the distribution of electric and magnetic fields is necessary to characterise fibre properties including mode profiles, propagation constants, and dispersion, all of which are essential for optimising fibre performance in a range of applications like sensing and telecommunications. This study emphasises on applying a linear FEM formulation …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 3, 2025 · pp. 32–42 Read article
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The Importance of DNA Profiling Today
Abstract: DNA profiling has changed a lot of sectors, from health and criminal justice to ancestry research and animal conservation. It is one of the most important scientific instruments of our time. This technique makes it possible to identify people, analyse family relationships, and learn more about biology by looking at unique genetic markers in a person's DNA. DNA profiling has changed the way forensic science works by making it easier …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 4, Issue 1, 2026 · pp. 10–14 Read article
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Machine Learning Assisted Timing Violation Prediction in Sub-7nm VLSI Physical Design
Abstract: The continuous scaling of semiconductor technology into the sub-7nm regime has introduced significant challenges in timing closure due to process variability, interconnect delay, power density, and manufacturing uncertainties. Conventional static timing analysis techniques often require extensive computational resources and iterative optimization cycles, resulting in increased design complexity and longer turnaround time. This research proposes a Machine Learning Assisted Timing Violation Prediction framework for sub-7nm VLSI physical design to improve early-stage …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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Modification in Stacks Design for the Integrated Incinerator–Fired Heater System Using CFD
Abstract: AbstractIn a unique integration of its kind, incinerator hot flue gases are routed below convection section of fired heater for enhanced heat recovery for an ongoing oil and gas field development projects. High degree of flue gas mixing between incinerator and heater flue gases is desired at inlet section of coils in convection section for optimal heat recovery. Also design of stack should take care of required draught in incinerator …
Published in Journal of Thermal Engineering and Applications · Vol. 6, Issue 3, 2019 · pp. 27–35 Read article