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90 results for “Computational Development”
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Research ArticleOpen accessIn the abstractSelf-Supervised Contrastive Learning for Steering Angle Prediction in Autonomous Driving SimulationsMaxson Phang, Suryadiputra LiawatimenaPredicting steering angles is a crucial task in autonomous driving, with end-to-end deep learning being a widely used approach. However, such models often suffer from overfitting to learned trajectories, limiting their generalization to new data. To address this, self-supervised contrastive learning is explored as an alternative, allowing models to learn meaningful representations without labeled data. The primary objective is to … …Journal of Computer Science, Vol. 21, Issue 9 · 20 Oct 2025 · 2,581 accessesView PDFCite
Research ArticleOpen accessIn the abstractIn silico and in vitro Structural Analysis on the Interaction of Calmodulin and Calmodulin-Binding Motif of FKBP35 from Plasmodium knowlesiSazlinawatie Aladin, Cahyo Budiman et al.FK506-binding protein 35 (FKBP35) is a peptidyl-prolyl cis-trans isomerase found in Plasmodium knowlesi, a zoonotic malaria parasite responsible for concerning cases of malaria infection in East Malaysia. This protein contains a segment known as the calmodulin-binding motif (Pk-CBM), which is predicted to facilitate interaction with calmodulin from P. knowlesi (Pk-CaM). Although this interaction is considered promising for future antimalarial drug … …OnLine Journal of Biological Sciences, Vol. 25, Issue 2 · 10 Mar 2025 · 4,846 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Data Encryption for Securing HDFS Using DQN-Enhanced Deep Reinforcement Learning TechniquesShivani Awasthi, Narendra KohliIn the era of big data, ensuring the security of large-scale distributed storage systems like the Hadoop Distributed File System (HDFS) is critical. Traditional encryption methods often struggle to balance robust security with system performance, leading to vulnerabilities and inefficiencies. This study presents the design and implementation of an efficient data encryption algorithm for securing HDFS using Deep Q-Network (DQN) … …Journal of Computer Science, Vol. 21, Issue 4 · 4 Mar 2025 · 6,376 accessesView PDFCite
Review ArticleOpen accessIn the abstractEducational Challenges in Computer-based Finite Element Analysis and Design of StructuresVagelis Plevris, Gro MarkesetComputer simulations and computational methods, such as the Finite Element Analysis (FEA) have become essential methodologies in science and engineering during the last decades, in a wide variety of academic fields. Six decades after the invention of the digital computer, advanced FE simulations are used to enhance and leapfrog theoretical and experimental progress, at different levels of complexity. Particularly in … …Journal of Computer Science, Vol. 14, Issue 10 · 26 Oct 2018 · 8,625 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Analysis of Two Famous Cryptographic Algorithms on Mixed DataEmmanuel Abidemi Adeniyi et al.The rapid development of digital data sharing has made information security a crucial concern in data communication. The information security system heavily relies on encryption methods. These algorithms employ strategies to increase data secrecy and privacy by obscuring the information, which only those parties who have the accompanying key can decode or decrypt. Nevertheless, these methods also use a lot … …Journal of Computer Science, Vol. 19, Issue 6 · 29 May 2023 · 6,020 accessesView PDFCite
Research ArticleOpen accessIn the abstractParameter-Expanded Data Augmentation for Analyzing Nominal Data With Missing Values Using Multinomial Probit ModelsSuwash Silwal, Xiao ZhangNominal data occur in many scientific fields, such as health-related studies, transportation, and econometrics. Due to the ubiquitousness of missing data, it is inevitable to analyze nominal data with missing values. As is well known, statistical methods for analyzing nominal variables are quite limited. The Multinomial Probit (MNP) model has been an essential tool for analyzing nominal categorical data, but … …Journal of Mathematics and Statistics, Vol. 22, Issue 1 · 23 May 2026 · 1,804 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementing Mitogen Activated Protein Kinases Cascade on Membrane Computing Using P-LinguaBareq Shaalan, Ravie Chandren MuniyandiThe Mitogen Activated Protein Kinases (MAPK) cascade has been used as a case study for different computational software tools in both modelling and simulation of real-life problems. This study focuses on the development of new techniques for solving a MAPK cascade by using membrane computing. Membrane computing is an unconventional computational approach that provides a platform for modelling discrete system. … …Journal of Computer Science, Vol. 11, Issue 1 · 15 Sep 2014 · 6,815 accessesView PDFCite
Research ArticleOpen accessIn the abstractBioinformatics-Assisted Microbiological Research: Tasks, Developments and Upcoming ChallengesDhananjaya P. Singh, Ratna Prabha, Anil Rai, Dilip K. AroraProblem statement: Bioinformatics in the present day microbiological research is an inevitable subject area that encompasses biological resources and high end computational skills to unravel the coded and encrypted information within the life. We have produced a brief account of the developments and tasks in the subject and upcoming challenges in the subject. The area has seen tremendous developmental pattern … …Current Research in Bioinformatics, Vol. 1, Issue 1 · 23 Jan 2012 · 14,793 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation of Computational Grid Services in Enterprise Grid EnvironmentsR.J.A. Richard, Ajay Anant Joshi, C. EswaranGrid Computing refers to the development of high performance computing environment or virtual super computing environment by utilizing available computing resources in a LAN, WAN and Internet. This new emerging research field offers enormous opportunities for e-Science applications such as astrophysics, bioinformatics, aerospace modeling, cancer research etc. Grid involves coordinating and sharing of computing power, application, data storage, network resources … …American Journal of Applied Sciences, Vol. 5, Issue 11 · 30 Nov 2008 · 7,368 accessesView PDFCite