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1532 articles for “Computational study”
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Algebraic Cloud Computing and its Applications
Abstract: An algebraic cloud computing technique is proposed in this paper. From plane to space is the key transformation studied under the context of computational applications. This paper presents a new idea of cloud computing based on relative concept of group theory. Its algebraic properties are applied to design an e-diagnosis system. This e-administration system performs efficiently and securely than classical cloud computing system. The algebraic analysis is presented in this …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 2, 2020 · pp. 24–30 Read article
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Design and Optimization of Heat Dissipation Systems for Electric Vehicle Battery Packs: A Study on Advanced Cooling Techniques
Abstract: In order to guarantee battery safety, performance, and longevity, the increasing popularity of electric vehicles (EVs) has increased the demand for efficient heat management systems. With an emphasis on cutting-edge cooling methods, this study explores the design and optimization of heat dissipation systems for EV battery packs. The study compares cutting-edge techniques like phase change materials, micro channel heat sinks, and thermoelectric cooling systems with more conventional cooling techniques like …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–10 Read article
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Workload Division by Replication for High Availability in Cloud Computing: A Review
Abstract: AbstractThis paper presents a comprehensive study about the problem of increase in the workload on the data nodes in case of node deletion or error occurrence in connection with server. In cloud computing fast and concurrent access to data is required which may increase the probability of overloading of available nodes due to failure of any node. It is considered as a serious problem when there is a continuous increase …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 25–28 Read article
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To Develop Efficient and Time Effective Search Model for Comparing Nucleotide Sequences with Database
Abstract: AbstractSearching of gene from their database is an important and common practice in various studies related to identification of similar genes against a query gene sequence. Our objective was to develop a faster search model by partitioning search space which is only possible through the numerical representation of genes that will satisfy test of reliability, uniqueness and speed required for this purpose. The result showed promise in speedier identification of …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 4, Issue 2, 2017 · pp. 24–27 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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Enhanced Oil Recovery (EOR) Process through Miscible Gas Injection: A Case Study of an Iranian Oil Reservoir
Abstract: Speedy computers and development in equations’ numerical solutions have enhanced applying simulation to predict the behavior of oil and gas reservoirs. The pressure in hydrocarbon reservoirs reduces overtime due to utilization of oil and gas resources until the fluid pressure itself is no more able to transfer it to the surface, and even if it reaches to the surface, its production is not cost-effective. Whereas, large amounts of hydrocarbon resources …
Published in Journal of Petroleum Engineering & Technology · Vol. 5, Issue 2, 2015 · pp. 1–8 Read article
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A Comparative Study of Different Cloud Service Providers
Abstract: Cloud computing is most rising field of the field of computing. Be that as it may, choosing the correct cloud specialist organization to trust with your foundation, basic applications and delicate information can be a troublesome procedure. In this Research paper different cloud benefits alongside the related cloud security issues has been talked about and dissected and a correlation of three significant cloud specialist organizations in particular Amazon AWS, Windows …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 8, Issue 3, 2021 · pp. 1–7 Read article
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Implementing Machine Learning in Data Classification
Abstract: Data classification forms an essential aspect of artificial intelligence (AI) and soft computing, helping a great deal in the transformation of raw data into knowledge that forms the basis of numerous applications, such as fraud detection, medical diagnostics, and natural language processing. This study discusses the challenges and the state of the art in data classification, as far as scalability, noise handling, and feature selection optimization are concerned. It gives …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article
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Secure Image Backup System
Abstract: The primary reason for developing a backup system is to save files that are important. This is done so that in case if system crashes due to any reason such as hard drive failure or natural calamities, the files can be retrieved later easily. Security is one of the essential/crucial factors when it comes to data, as this data might contain confidential as well as important information. Hence, the backup …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 1, 2022 · pp. 1–6 Read article
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The Impact of AI-Driven Decision-Making on Consumer Behavior and Sustainable Consumption Patterns in Modern Management
Abstract: The accelerating integration of Artificial Intelligence (AI) into business management systems has fundamentally transformed the dynamics of consumer decision-making and organizational marketing strategies. This paper investigates the multidimensional impact of AI-driven technologies, including predictive analytics, recommendation engines, chatbots, natural language processing, and machine learning algorithms, on consumer behavior and sustainable consumption patterns within contemporary management frameworks. Drawing upon a comprehensive synthesis of empirical studies, theoretical literature, and bibliometric analyses, the …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 12–19 Read article
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Software Development for Computers That Are Brand New
Abstract: The purpose of this study is to present a novel method to software development that is intended to answer the issues that are constantly changing in the realm of computer programming and application development. The demand for software solutions that are superior in terms of efficiency, scalability, and adaptability has substantially increased in tandem with the rapid advancement of technology. The development approach that has been offered integrates contemporary methods …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 07–18 Read article
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Music on Mind and Body: A Simultaneous EEG and EMG Study to Quantify Emotions from Hindustani Classical Music
Abstract: With the advent of various techniques to assess the bioelectric signals on the surface of the body, it has become possible to develop various human-computer interface systems. In this study, for the first-time a cross- correlation based data is reported for two-different types of bio-signals viz. EEG (Electroencephalography) and EMG (Electromyography). Whereas EEG refers to the neuro-electric impulses generated in the brain recorded in the form of electric potentials, EMG …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 9, Issue 2, 2019 · pp. 27–38 Read article
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Prediction of Molecular Targets for Anthraquinone and Its Analogs for Treatment of Good Pasteur Syndrome
Abstract: Objective: In order to find prospective molecular targets for the treatment of Good Pasteur Syndrome (GPS), a rare autoimmune disease that affects the kidneys and other organs, computational methods and network pharmacology were applied in this work. The goal of the study is to identify particular human proteins that might interact with anthraquinone and its analogues as well as to uncover potential mechanisms of action by which these drugs might …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 1, Issue 3, 2023 · pp. 10–27 Read article
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In Silico Prediction of Multitarget Mechanism of Quinoline and Its Analogs on Phosphoinositide-3-Kinase Pathway Proteins
Abstract: Objective: Phosphoinositide 3-kinases (PI3Ks), the target of rapamycin (PI3K/Akt/mTOR, PAM), are a family of enzymes that play a role in the growth, proliferation, differentiation, motility, survival, and intracellular trafficking of cells, all of which are essential for healthy cellular function and are also connected to cancer. In this study, quinoline and its derivatives were employed to analyze its inhibition activity on the phosphoinositide-3-kinase pathway. Methods: In this work, eight phytocompounds …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 1, 2023 · pp. 57–76 Read article
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Stilbenes: A Molecular Docking and ADMET Analysis Approach on an Emerging Resource for Scavenging Reactive Oxygen Species in the Field of Colon Malignancy
Abstract: Objective: Colon malignancy, also referred to as colon cancer, originates as precancerous polyps in the colon or rectum, which have the potential to thrive and progress into cancerous tumors over time. This study delves into various bioactive compounds (from natural sources like plants) to assess their potential efficacy in inhibiting colon malignancy as compared to conventional methods. Methods: The objective of this study was to employ computational methodologies to evaluate …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 3, 2024 · pp. 29–38 Read article
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In silico Molecular Docking Analysis of Stephania glabra phytocompounds Targeting Thymidylate Kinase for potential Antituberculosis Activity
Abstract: Tuberculosis (TB) is an infectious disease caused by the bacteria Mycobacterium tuberculosis. It mainly affects the lungs and spreads through the air when a person with active TB in their lungs coughs, sneezes, or spits. This study investigates several bioactive compounds derived from plants to forecast how effective plant-based ligands will be at preventing tuberculosis. The purpose of the study was to use computational techniques to assess the effectiveness of …
Published in International Journal of Molecular Biotechnological Research · Vol. 3, Issue 2, 2025 · pp. 25–37 Read article
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Tri-Band Edge-Cut Rectangular Microstrip Patch Antenna on Composite Substrate for RF Energy Harvesting in IoT Networks
Abstract: The increasing use of Internet of Things devices underscores the pressing need for sustainable energy solutions, since traditional batteries necessitate regular replacement and constrain scalability. Radio frequency energy harvesting is a viable option; nonetheless, antenna design continues to provide a significant problem owing to the requirements for compactness, efficiency, and multi-band functionality. A hybrid composite substrate configuration combining FR4 (εr = 4.3) and RT Duroid (εr = 2.2) is employed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 867–883 Read article
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New Method for the Transient Analysis of Lines with Corona
Abstract: Abstract-- A new direct procedure for the transient analysis of overhead lines under corona is suggested.The governing partial differential equations are derived taking into consideration the possiblevariations in the line’s equivalent conductance and capacitance. A noniterative solution ofthese equations can be found in terms of interpolating functions resulting from a Mathematicacomputer code. The developed program can handle any time waveform of the sourcesinitiating the transients, any line length, design and …
Published in Journal of Power Electronics and Power Systems · Vol. 9, Issue 3, 2019 · pp. 1–9 Read article
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Analysis of Six-Pulse Bridge Circuits Including Zener and Semiconductor Diodes Part One
Abstract: This paper addresses the analysis of electronic bridge circuits including Zener and/or semiconductor diodes. The analysis is based on recently suggested models for these diodes. A compact Mathematica code written in the Versions 7.0, 11.3 and 12.2 simulating a six-pulse rectifier bridge circuit is then derived and mathematically implemented. It investigates the time-domain transient and steady-state analysis of several representative case studies. In principle, the computer simulation can yield the …
Published in Journal of VLSI Design Tools and Technology · Vol. 12, Issue 1, 2022 · pp. 14–22 Read article
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Rainfall Runoff Modeling Using SCS-CN Method: A GIS Based Case Study of Pawana Watershed
Abstract: In a country over 125 million, we are proudly an agricultural based economy, wherein 51% of population is indulged in any business related to somehow with agriculture. Of course, we still are in a developing stage as far as methodologies or their implementation is concerned. But surely somewhere we have started focusing on modern techniques and strategies to improve pattern, productivity, profit and all. The two vital natural resources required …
Published in Journal of Water Resource Engineering and Management · Vol. 3, Issue 3, 2016 · pp. 50–58 Read article