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92 articles for “Loss of Information”
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Research ArticleOpen accessIn the abstractDesigning Information System Architecture Based on Education 4.0 Case Study: Senior High School Institutions of IndonesiaYemima Monica Geasela, Nilo LegowoThe development of information technology that has occurred to date has made information technology necessary in an organization's business in various fields. Information technology support is very much needed in the current era of globalization because it can increase business effectiveness and efficiency. Utilization of technology optimally and in line with business processes is the main thing in developing the … …Journal of Computer Science, Vol. 18, Issue 7 · 20 Aug 2022 · 6,639 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnimal Health Prediction Using Hybrid CNN Based BiLSTM Classification Model: A Deep Learning ApproachJ. Rathi, A. SumathiAccurate prediction of animal diseases is vital in veterinary medicine, as it can substantially enhance animal health outcomes and mitigate economic losses, making it a critical task that warrants attention and innovative solutions. This paper proposes a novel approach to animal condition classification, leveraging an Auto-encoder-based feature selection process and an Improved Hybrid Convolutional Neural Networks (CNN) with Bidirectional (Bi-LSTM) … …Journal of Computer Science, Vol. 22, Issue 5 · 20 May 2026 · 1,481 accessesView PDFCite
Review ArticleOpen accessIn the abstractAssessment of Dust Event By RS, GIS, MODIS and Statistical Methods Among Satellite ImagesKaveh Ostad-Ali-Askari, Naimeh Rahimi, Parisa Ashrafi et al.Dust is an event that occurs in most sections of the world that leads to financial loss and harmful environmental impacts. Several factors are included in dust event incidence, some of them are natural and others are due to human processes and their impact on the environment. Thus, very critical situations are coming and it is expected that the majority … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 2 · 25 Jun 2021 · 6,698 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenetic Diversity of Leifsonia xyli Subsp. xyli Causing Ratoon Stunting Diseases of Sugarcane in Indonesia Using Intergenic Spacer Region Sequence AnalysisSisca Prayudani Usman, Abdul Latief Abadi et al.Leifsonia xyli subsp xyli (Lxx) is the cause of Ratoon Stunting Disease (RSD) on sugarcane and it considers as a quarantine pest in certain regions of Indonesia. RSD is a systemic disease that causes severe cane yield loss. Information about genetic diversity of this bacterial pathogen in Indonesia is limited. While global trading of sugar cane seed may facilitate the … …OnLine Journal of Biological Sciences, Vol. 25, Issue 2 · 23 Jun 2025 · 3,351 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Secured Blockchain-based Information-Centric NetworkAbdelrahman Sheham Abdellah, Sherif Saif, Hesham E. ElDeeb et al.In this study, we propose an Information-Centric Network (ICN) approach for the Internet as an alternative to the present host-centric architecture. The proposed approach solves present Internet challenges, where most Internet users nowadays are involved in seeking knowledge by searching through large amounts of data, independent of the data's physical locations and these users usually have requests that need prompt … …Journal of Computer Science, Vol. 18, Issue 4 · 17 Apr 2022 · 6,239 accessesView PDFCite
Research ArticleOpen accessIn the abstractPatient Data Integration: A Panacea for Effective HealthcareHenry Anayo Okemiri, Alo Uzoma Rita, Achi Ifeany Isaiah et al.A huge challenge in the healthcare domain has remained the spread and proliferation of fragmented information systems and multiplicity of data that accumulate from growing quantities of heterogeneous data of patient. This challenge must be addressed as the whole domain gradually transforms into models of delivery of healthcare that is electronic and patient-centered. The presence of inadequate data integration at … …Journal of Computer Science, Vol. 16, Issue 2 · 22 Feb 2020 · 7,727 accessesView PDFCite
Review ArticleOpen accessIn the abstractFrom Textural Inpainting to Deep Generative Models: An Extensive Survey of Image Inpainting TechniquesSetika Mehra, Ayush Dogra, Bhawna Goyal et al.Image inpainting is an evolving discipline of image processing with the objective of reconstructing an image by removing unwanted information, adding missing information or presenting the information appealing to the human visual system. In the presented manuscript, we have exhibited an extensive survey of various image inpainting techniques. The effectiveness of the techniques is together summarized with significant comparisons and … …Journal of Computer Science, Vol. 16, Issue 1 · 1 Jan 2020 · 8,720 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultimodal Face Expression Recognition Using Parametric Exponential Linear Unit-Long Short-Term MemoryKampa Ratna Babu, Akula Suneetha, Kampa Kanthi KumarMultimodal facial expression recognition combines information from multiple modalities of audio and video to achieve the required accuracy and robustness. By integrating different data sources, multimodal systems capture different aspects of human expression. However, accurately recognizing facial expressions across audio and video modalities causes challenges due to variations in expression representation. In this research, Parametric Exponential Linear Unit-Long Short-Term Memory … …Journal of Computer Science, Vol. 20, Issue 10 · 17 Aug 2024 · 4,612 accessesView PDFCite
Research ArticleOpen accessIn the abstractSeasonal Pattern of Varroa Mite Infestation and Its Impact on Honey Production in Apis mellifera Beekeeping in Chitwan, NepalSujan Amgai, Kedar DevkotaHoneybee colony health and productivity are severely affected by infestations of Varroa mites, which have become one of the most significant threats to apiculture due to their role in colony weakening, reduced productivity, and increased colony losses worldwide. The study was conducted in Chitwan district to assess beekeepers’ perceptions on mite infestation in different seasons, its effect on honey production, … …American Journal of Agricultural and Biological Sciences, Vol. 21, Issue 1 · 14 Aug 2026 · 1,234 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning and Image Analytics for Forest Land Management: Classification, and Object DetectionDevam Dixit, Aditya Bhavsar, Shreyas Jani, Nilesh YadavRapid urbanization and industrialization have contributed to deforestation which has led to a severe degradation of the environment and biodiversity loss. Traditional field survey methods are not applicable in the monitoring of large forest areas due to the fact that such methods are manual, costly and time consuming as well as subject to human error. The current methods of remote … …Journal of Computer Science, Vol. 22, Issue 3 · 26 Mar 2026 · 1,590 accessesView PDFCite