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Research ArticleOpen accessIn the abstractSCUTMA: Selecting Components for Unit Testing in Mobile ApplicationsJosias Gomes, Isabel K. Villanes, Silvia M. Ascate et al.Context The source code of a mobile application has several components (i.e., code units) and they have a cost (e.g., test creation and execution) and benefit (e.g., find bug) value for performing unit testing. Problem Choosing in which components unit tests should be done, in order to increase the benefit (effectiveness) and decrease the cost of this activity. Proposal This … …Journal of Computer Science, Vol. 16, Issue 10 · 15 Oct 2020 · 7,015 accessesView PDFCite
Research ArticleOpen accessIn the abstractCurrent State of a Rare, Narrowly Endemic Plant of the Flora of Kazakhstan, Rosa Potentilliflora Chrshan. et M. Pop. (Rosaceae) in Low-Mountain SyugatyChinargul Aldassugurova, Abibulla Ametov, Akmaral Nurmahanova, Aigul AkhmetovaThis study provides a comprehensive ecological assessment of Rosa potentilliflora, a rare and narrowly endemic species of the Kazakh flora, occurring exclusively in the Syugaty low-mountain range at the eastern edge of the Zailiyskiy Alatau. The species occupies southeast-facing rocky slopes within steppe vegetation belts. Three distinct cenopopulations were identified and studied using standard geobotanical and demographic methods. Within these … …OnLine Journal of Biological Sciences, Vol. 25, Issue 3 · 27 Nov 2025 · 2,023 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimizing Lentil Breeding Models for South-East Kazakhstan: Yield, Adaptability, and Protein EnhancementSaikenova Alma Zhumabaevna, Kudaibergenov Mukhtar Sarsenbekovich, Kanatkyzy Makpal et al.This study presents the development of a model for optimizing lentil breeding in the agroclimatic conditions of southeastern Kazakhstan. By evaluating 31 lentil varieties and hybrid populations (F1, F2, and F3), key economically valuable traits such as yield, protein content, drought resistance, and adaptability to mechanized harvesting were identified. A systematic selection process enabled the creation of lentil variety models … …OnLine Journal of Biological Sciences, Vol. 25, Issue 3 · 24 Sep 2025 · 3,201 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomatic Skin Lesion Diagnosis and Medical ReportGeneration Based on Image CaptioningAbdelouahed Sabri, Chaimae Zouitni, Hamza El Medhoune, Abdellah AarabCaptioning or textual description of the visual content of imagesinvolves generating meaningful words and sentences to describe the contentof an image. This work lies at the crossroads of Natural LanguageProcessing (NLP) and computer vision. When dealing with medical imagesand especially skin lesions, it goes beyond simple classification to generatedetailed textual reports describing the skin lesion's conditioncomprehensively. Such reports are crucial … …Journal of Computer Science, Vol. 21, Issue 5 · 13 May 2025 · 5,422 accessesView PDFCite
Research ArticleOpen accessIn the abstractAlgorithmization of Electrostatic Model for Solving the Direct Problem of ElectrographyTagirbek Gaidarbekovich Aslanov, Naur Zamirovich Ivanov, Shamil Shamil`evich Anudinov, Tatiana Vladimirovna KarlovaAn analysis of the creation and implementation of algorithms to control cardiological processes occurring in the cardiovascular system using software and hardware diagnostic systems is a required activity. This study considers ways to improve the methods of medical data processing using electronic diagnostic systems, relying on existing methods of mathematical simulation of human body states. This study describes the development … …Journal of Computer Science, Vol. 21, Issue 4 · 7 Mar 2025 · 5,330 accessesView PDFCite
Research ArticleOpen accessIn the abstractSecuring IoT Networks: Multi-Attack Detection of RPL Routing Threats Using Deep LearningAyoub Krari, Abdelmajid Hajami, Ayoub Toubi, Marouane Ait SaidThe growing frequency of cyber threats in Internet of Things (IoT) networks, including attacks on RPL routing, requires the creation of strong detection systems to safeguard network integrity and provide dependable communication. This study is driven by the pressing necessity to tackle the security weaknesses in IoT networks, where threats such as black holes, version number alteration, DIS flooding, and … …Journal of Computer Science, Vol. 21, Issue 4 · 6 Mar 2025 · 5,397 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
Research ArticleOpen accessIn the abstractBlockchain: An Efficient Intelligent Agreement for Patents and TrademarksVikram Shirol, Shanmuga RathinamIntellectual property security faces problems in the digital era, with growing piracy, AI-generated works, and global compliance problems, Creations, designs, trademarks, and trade secrets are all protected by Intellectual Property (IP) rights; yet, there are several issues with IP rights management and enforcement around the world. The benefits of blockchain technology include decentralization, transparency, and immutability. Therefore, blockchain offers to … …Journal of Computer Science, Vol. 21, Issue 3 · 20 Feb 2025 · 5,491 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart Tourism Design in Karangasem District Using Design Science Research ApproachHendro Nindito, Evaristus Didik Madyatmaja, Johan Hadi WijayaBy analyzing user needs and covering issues facing the regional tourism sector, this research seeks to create a smart tourism system for the Karangasem Regency. Extensive research, including surveys and interviews with a range of stakeholders, including visitors, local companies, and government representatives, served as a direction for the system's design and development. The research findings had a significant impact … …Journal of Computer Science, Vol. 21, Issue 3 · 7 Feb 2025 · 6,471 accessesView PDFCite
Research ArticleOpen accessIn the abstractDifferSqueezeNet: A Leaner Defect Detection ModelJose Joao Manrique Franco, Marcelo RudekIn the industrial environment, the inherent limitations of manual inspection have caused the ascent of automated computer vision systems that aim to match or surpass human performance. In this context, the artificial intelligence field has been interested in defect detection with the creation of many machine learning techniques, focusing on Unsupervised and Semi-supervised learning methods. Since most of these methods … …Journal of Computer Science, Vol. 21, Issue 3 · 4 Feb 2025 · 5,727 accessesView PDFCite