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1990 articles for “compute” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Authentication Authorization and Auditing for Regenerating Encrypted Information in Cloud Computing
Abstract: AbstractTo secure an outsourced data in cloud storage against corruptions and adding fault tolerance to cloud storage together with data integrity checking and failure reparation becomes critical. Nowadays regenerating codes have been gained popularity due to the lower repair bandwidth while providing error a tolerance. Existing remote checking methods for regenerating-coded data only provide private auditing, requiring data owners to always stay online and handle auditing, as well as repairing …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 1, 2016 · pp. 7–11 Read article
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A Survey on Deep Learning based Detection of Abnormal Human Behaviour using Computer Vision Human Activity Recognition System
Abstract: Abnormal Human activity recognition (Abnormal HAR) systems are very popular among researchers nowadays, they attempt to identify and analyze human activities using acquired information from sensors. Several papers have already been published in the abnormal HAR topics, the technologies in this field have multidisciplinary nature. They need constant updates. Our literature survey divided the approaches into three categories, the first one is about wearable sensor-based approach, the second one is …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 3, 2021 · pp. 32–41 Read article
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Virtuality Keyboard by AI
Abstract: As everyone knows, computer vision is used to process images in machine learning. Today, for this wonderful task, we are using OpenCV and the cv-zone library in Python. Everyone is familiar with OpenCV, and the cv-zone is essentially a library for hand detection, pose detection, face detection, and other related tasks. By this, we created a keyboard named as “Virtuality Keyboard”. It is just another example of today's computer trend …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 1, 2022 · pp. 24–36 Read article
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Computational Software Assisted Multiple Therapeutic Targets Oriented Screening of Some Natural Alkaloid Compounds
Abstract: The current efforts endeavor towards the computational exploration of some interestingpharmacological potentials of some natural alkaloids by using the Schrodinger Maestro 9.1software. The excellence in therapeutics was screened against five most imperative targets:Cyclin-Dependent Kinase-5 (anti-cancer), Cycloxygenase-2 (anti-inflammatory), Proteinkinase C (anti-cancer), Dipeptidyl peptidase (anti-diabetic), and Angiotensin-1-ConvertingEnzyme (anti-hypertensive). The alkaloids which were previously reported to possessantibiotic activities against Bacillus subtilis, Staphylococcus aureus, and Mycobacteriumsmegmatis and anti-photo-oxidative, have now perceived to be multi-dimensional …
Published in Research and Reviews : Journal of Computational Biology · Vol. 8, Issue 2, 2019 · pp. 5–9 Read article
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Investigating Curcumin Phytocompounds as Prospective Parkinson's Disease Therapeutic Agents: A Computational Method that Targets LRRK2 Protein
Abstract: Objective: Parkinson’s Disease is the second stage predominant neurodegenerative illness. Primary aetiology is still unknown. One of the biggest battlegrounds in modern medicine is discovering the cause of Parkinson’s disease (PD), as well as the hunt for palliative treatments and, if feasible, a cure. The objective of this work is to identify the phytocompounds from curcumin (curcuma longa) for the treatment of PD. Curcumin, a well-researched phytochemical, has been suggested …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 3, 2023 · pp. 55–67 Read article
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Computational Identification of Protein Tyrosine Phospatase-1B (PTP-1B) Inhibitors for Checking Type II Diabetes
Abstract: Protein tyrosine phosphatases (PTPs) are a family of enzyme that comprises of about 100 proteins which catalyze dephosphorylation of phosphotyrosine residues in protein substrates. Phosphotyrosine is a central element in cell signaling, and its activity is essential for cellular homeostasis and for appropriate responses to extracellular signals. PTP-1B antagonizes insulin signaling by reducing the activation state of the insulin receptor kinase, thereby inhibiting post-receptor signaling in insulin responsive tissue. The …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 6, Issue 3, 2017 · pp. 21–25 Read article
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Principles of Computer Infrared Spectroscopic Diagnostics, Classification and Prognostication of the Methods of Treatment of the Tumors
Abstract: The paper presents the formulated principles of computer infrared spectroscopic diagnostics, classification and prognostication of the methods of treatment of the tumors that permit to develop original software. The developed software allows using of the modern methods of physical chemistry analysis and mathematical modeling in diagnostics, treatment and management of the oncological patients. The essence of this using consists of in the establishment of the basic physical chemistry reasons for …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 8, Issue 1, 2019 · pp. 1–4 Read article
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An Intelligent Complexity-Performance Tradeoff Model of Asynchronous Random Access Protocols in Distributed Edge Computing Using Software Science with Halstead
Abstract: The paradigm shift towards Distributed Edge Computing (DEC) has changed the entire world of the Internet of Things (IoT) connectivity to its core and has spawned the need to implement robust Asynchronous Random Access (ARA) protocols to deal with the contention between a huge range of diverse devices that are constrained by their resources. While there is now extensive optimization of these protocols in contemporary research for channel efficiency (throughput, …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 Read article
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Multiscale Catalytic Strategies for Sustainable Chemical Production: Integrating Computational Catalysis, Process Technology and Biocatalytic Transformations
Abstract: The transition toward sustainable chemical manufacturing requires catalytic technologies capable of maximizing resource efficiency, minimizing greenhouse gas emissions, and enabling the utilization of renewable feedstocks. Recent advances in computational catalysis, process technology, and biocatalytic transformations have created opportunities for the development of integrated catalytic platforms spanning molecular, reactor, and process scales. Density functional theory (DFT), machine learning-assisted catalyst discovery, and multiscale modeling have accelerated the rational design of heterogeneous, homogeneous, …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 27–35 Read article
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A Ventilated Dual-Function Photonic–Phononic Metasurface for Simultaneous Passive Radiative Cooling and Low-Frequency Noise Mitigation in Building Envelopes: Conceptual Design and Computational Feasibility Analysis
Abstract: Acoustic metamaterials for sound insulation and photonic/radiative-cooling metamaterials for passive thermal management have each matured separately for building-envelope retrofit, but existing studies address ventilation, acoustic damping and radiative thermal control in isolation, and no reported unit-cell architecture co-designs all three within a single shared structure. This gap persists because materials that are acoustic absorptive are generally dense and structurally opaque, whereas materials that are highly solar-reflective are conventionally applied to …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 2, 2026 Read article
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Computer Vision Algorithm for Surface Defects Identification in TIG Welded Joints
Abstract: Quality monitoring of welded joints is still quite a tedious job for many industries. The surface defects on welded joints arises from the improper selection of various input parameters which further result bad quality weld. This paper highlight the application of a computer vision algorithm called discrete Fourier transformation approach for identification of surface defects present on TIG welded joints.
Published in Research and Reviews : Journal of Computational Biology Read article
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Anti Covid-19 Drugs Suggested by Computational Methods: A Review
Abstract: Background and aims: Long COVID refers to the persistence of illness in individuals who have survived from COVID-19 infection. This article reviews long covid and the use of in silico techniques in drug development for COVID-19. Results: Many COVID-19 survivors have long COVID, which has become a burden in daily life. Various attempts have been undertaken to relieve symptoms and manage it, but there is no cure as of yet. …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 1, Issue 1, 2023 · pp. 16–34 Read article
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An approach of Computer Vision Methods for Driver’s Drowsiness and Yawn Detection
Abstract: Numerous studies have demonstrated that 4,444 traffic crashes are primarily caused by driver drowsiness. Due to advancements in digital computer systems, tiredness behaviour may now be studied by researchers worldwide. The goal of this project is to increase road safety by preventing accidents caused by sleepy drivers. To view the driver's face, use real-time facial recognition technology. A driver's attentiveness and reaction time may be impacted by weariness, which raises …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 21–26 Read article
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Computational Analysis of Non-Newtonian Blood Flow through Bifurcated Coronary Artery: Insights into Hemodynamics and Wall Shear Stress
Abstract: This abstract presents a study on the computational fluid dynamics (CFD) simulations of blood flow through a bifurcated coronary artery using non-Newtonian fluid model. The objective of this study is to investigate the hemodynamic characteristics in Bifurcated Coronary artery. The methodology involved the utilization of ANSYS SpaceClaim software for creating a geometric model of the bifurcated coronary artery. A mesh independent study was conducted to ensure the accuracy and reliability …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 160–168 Read article
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In Silico Assessment of Demethoxycurcumin: Molecular Docking and Computational Insights into its various therapeutic Potential
Abstract: Natural compounds are increasingly explored for their therapeutic potential in medical research. Here, we focused on demethoxycurcumin (DMC), a polyphenolic bioactive compound extracted from Curcuma longa, commonly found in turmeric. DMC, with a chemical formula of C20H18O5 and a molecular weight of 340 g/mol, possesses two aromatic ring systems, each featuring a β-diketone moiety connected by a seven-carbon chain. This unique structure allows DMC to engage in tautomerism, which is …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 1, 2024 · pp. 9–15 Read article
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Multi-phase Flow Simulation Using Computational Fluid Dynamics
Abstract: Computational fluid dynamics (CFD)-based multi-phase flow simulation is a fast developing topic with broad applications in many scientific fields and industry. An extensive account of current developments, difficulties, and uses in multi-phase flow simulations is given in this review paper. Important modeling strategies, numerical methods, validation procedures, and new developments in CFD-based multi-phase flow analysis are covered. This paper is to contribute to the ongoing development and use of CFD …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 2, 2023 · pp. 28–34 Read article
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Unfolding Linux Shell and Shell Scripting in File and Process Management: Enhancing Computer Programming
Abstract: Shell scripting is the process of automating repetitive chores or executing intricate command sequences by creating a series of instructions in a file called a script. Shell scripts take advantage of the shell's features to let users create repeatable and efficient solutions for everyday problems. A shell script is a textual file containing a series of commands intended for a UNIX-based operating system. Because it combines several commands that would …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 1, 2024 · pp. 1–3 Read article
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Revolutionizing Motorcycle Safety: A Deep Learning Approach for Helmet and Triple Riding Detection using Computer Vision Technology and Machine Learning Model
Abstract: Introducing a revolutionary paradigm in road safety, our project unveils the Intelligent Traffic Surveillance System (ITSS), a groundbreaking initiative poised to transform urban traffic management. In an era where road safety is paramount, ITSS emerges as a beacon of innovation, harnessing the prowess of computer vision and machine learning to tackle two of the most pressing concerns plaguing our roads: helmet non-compliance and triple riding among motorcyclists. At its core, …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 1, 2024 · pp. 28–36 Read article
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Integrating Deep Learning and Computer Vision for Recognizing American Sign Language
Abstract: The only way the hearing-impaired community can exchange ideas is by utilizing non-verbal communication. The main challenge, however, is that the non-impaired community, which may not comprehend non-verbal communication, would struggle to communicate effectively with this group, and vice versa. The project is purposely devised to admit unwilling and dumb societies to transport ideas and connect with the organization. It aims to bridge the gap between the hearing- and speech-impaired …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 10–17 Read article
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Computational Investigation of Withania somnifera Compounds Targeting S. pombe SMN YG-Dimerin Spinal Muscular Atrophy: Insights from Molecular Docking Analysis
Abstract: Objectives: The primary objective of this study is to determine the potential of phytochemical constituents of Withania somnifera in treating spinal muscular atrophy, an autosomal recessive genetic neurodegenerative disorder, through computational techniques. To investigate the binding affinity of phytocompound to the target protein S. pombe SMN YG-Dimer through molecular docking. Besides, evaluating the pharmacological attributes of phytochemical constituents to assess their ability as an ideal prospect for developing therapeutic medication. …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 2, 2024 · pp. 39–52 Read article