Review ArticleOpen accessIn the abstractAdvances in Modern Biotechnological Tools for Sustainable Control of Plant Viral DiseasesNabela Akter, Ankita Saha, Md. Abdullah Al Sabbir, Md. Motaher HossainPlant viruses pose a major threat to global food production, causing yield losses across many staple and horticultural crops. Conventional breeding for resistance is typically slow and constrained by the number of available natural resistance genes. Recent breakthroughs in biotechnology have enabled the development of accurate, flexible, and environmentally friendly technologies to confer virus resistance. This review summarizes exciting developments … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 16 Jul 2026 · 726 accessesView PDFCite
Research ArticleOpen accessIn the abstractExploring Self-Sovereign Identity Through a Digital Transcript Proof-of-ConceptNaphat Khajohn-Udomrith, Ittipon RassameerojCredential forgery presents a significant threat to the integrity of academic and employment documents. While Self-Sovereign Identity (SSI) and Verifiable Credentials (VC) offer a decentralized alternative, existing solutions often struggle to balance institutional trust with holder privacy. This paper proposes a novel, dual-layered architectural framework for digital transcripts. We implement a strategic bimodal DID approach, utilizing did:web for the issuing … …Journal of Computer Science, Vol. 22, Issue 5 · 21 May 2026 · 1,487 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Intrusion Detection System Using Optimized Deep Learning for IoT NetworksChempavathy B., Mouleeswaran S. K.In the rapidly evolving landscape of Internet of Things (IoT) networks, assuring security is paramount. Cyber-attacks on IoT networks are evolving in complexity and scale. Intruders employ diverse tactics, including malware, Denial of Service (DoS) attacks, along with unauthorized access. This research aims to propose an optimized Deep Learning (DL) based Intrusion Detection System (IDS) to bolster security within IoT … …Journal of Computer Science, Vol. 21, Issue 8 · 9 Oct 2025 · 2,993 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Integrated Machine Learning Model for Heart Disease Classification and CategorizationSrikanth Meda, Raveendrababu BhogapathiProgressions in the coordination among the machine learning algorithms, helped to achieve high accuracy and reliability in decision-making systems. Due to the impact and importance of heart diseases in real life, designing the efficient heart disease prediction model become a pivotal aspect today. Former research scholars applied the popular supervised machine learning models like Decision Trees, Naïve Bayes, ANN's, and … …Journal of Computer Science, Vol. 18, Issue 4 · 19 Apr 2022 · 6,535 accessesView PDFCite
Review ArticleOpen accessIn the abstractAbout the Cyanobacteria and StromatolitesFlorian Ion Tiberiu Petrescu, Liviu Marian UngureanuStromatolites are layered biochemical accretionary structures formed in shallow water by the trapping, binding and cementation of sedimentary grains in biofilms (specifically microbial mats), especially cyanobacteria. Stromatolites occur widely in the fossil record of the Precambrian but are rare today. Life on Earth was born at least 3.7 billion years ago, but since then the number of living things has … …OnLine Journal of Biological Sciences, Vol. 22, Issue 1 · 17 Feb 2022 · 8,230 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Feature Extraction Dual DCT-DWT Image Watermarking Combined with Chaos-Based CryptosystemKumari Rinki, Pushpneel Verma, Tanupriya Choudhury, Bhupesh Kumar SinghAs a result of the emerging technologies such as Internet-of-Things (IoT), data analysis and automation in many aspects of identity, watermarking has become increasingly important. A majority of prior systems focused on watermark embedding and recovery techniques for binary and grey-scale images in one specified region of the cover image, making the system less dependable. This study develops a novel … …Journal of Computer Science, Vol. 17, Issue 10 · 13 Nov 2021 · 6,094 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart-EIS: An End to End Enterprise Information Systems FrameworkJalal Kiswani, Muhanna Muhanna, Abdallah QusefEnterprise Information Systems (EIS) are widely and extensively used in many domains such as banking, telecommunication, e-commerce and government. Although several research studies and investigations were performed that explore the importance of EIS, only a few studies have focused on effective and efficient end-to-end approaches to developing such systems. In this article, a proposed software development framework (Smart-EIS) is presented. … …Journal of Computer Science, Vol. 14, Issue 12 · 24 Dec 2018 · 7,557 accessesView PDFCite
Literature ReviewOpen accessIn the abstractState of the Art on Video Streaming and ApplicationsYahia Hasan, Ali ZanbouriThe real-time and live video streaming are playing an important role in our daily lives; therefore enhancing the quality of real-time and live video streaming over wired and wireless packet erasure networks which becomes more and more important topic nowadays. The main objective of this tutorial paper is to highlight state of the art on video streaming and the most … …Journal of Computer Science, Vol. 14, Issue 4 · 21 Apr 2018 · 7,953 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpact of an Extra Layer on the Stacking Algorithm for Classification ProblemsRodolfo Lorbieski, Silvia Modesto NassarClassifying and making decisions are tasks performed by any human being in their daily lives. Learning algorithms have been widely studied as tools to aid information management, with an objective to maximize the generalization capacity. Learning algorithms can be used individually or as a committee of machines (ensembles). An ensemble uses the solutions provided by several machines, making different combinations … …Journal of Computer Science, Vol. 14, Issue 5 · 10 Jan 2018 · 8,286 accessesView PDFCite
Review ArticleOpen accessIn the abstractMulti-Timescale Microscopic Theory for Radiation Degradation of Electronic and Optoelectronic DevicesDanhong Huang, Fei Gao, D.A. Cardimona et al.A multi-timescale hybrid model is proposed to study microscopically the degraded performance of electronic devices, covering three individual stages of radiation effects studies, including ultra-fast displacement cascade, intermediate defect stabilization and cluster formation, as well as slow defect reaction and migration. Realistic interatomic potentials are employed in molecular-dynamics calculations for the first two stages up to 100 ns as well … …Space Science International, Vol. 3, Issue 1 · 15 Jun 2015 · 10,235 accessesView PDFCite