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Review ArticleOpen accessIn the abstractAdvances in Forest Fire Detection, Prediction and Behavior: A Comprehensive SurveyAhmad Alkhatib, Khalid JaberForest fires are a major environmental challenge that poses a threat to both human life and ecological health. To effectively prevent and manage forest fires, it is crucial to have reliable detection, prediction and behavior analysis systems in place. This study provides a comprehensive survey of the different approaches and techniques used for forest fire detection, prediction and behavior analysis. … …Journal of Computer Science, Vol. 20, Issue 4 · 7 Feb 2024 · 6,419 accessesView PDFCite
Research ArticleOpen accessIn the abstractPasture Productivity Depending on the Method of Pasture use in the Steppe Zone of Northern KazakhstanBalzhan Akhylbekova, Nurlan Serekpayev, Adilbek Nogayev, Bakhytbek ZhumabekUnsystematic grazing of animals and continuous use of pastures leads to their degradation and, accordingly, to a shortage of pasture forage for the production of competitive environmentally friendly livestock products. The proportion of productive grasses in grass covers is decreasing; therefore, there is an urgent need to preserve valuable plant species in pasture grass, restore the productivity of natural vegetation … …OnLine Journal of Biological Sciences, Vol. 22, Issue 4 · 3 Nov 2022 · 5,909 accessesView PDFCite
Research ArticleOpen accessIn the abstractEpizootology and Epidemiology of Opisthorchiasis in Northern KazakhstanMarat Zhaksylykovich Aubakirov, Aida Makenovna Abdybekova, Madina Asylkhanovna Khassanova et al.The aim was to study the epizootological situation, as well as the characteristics of the territories of Kostanay and North Kazakhstan regions on fish opisthorchiasis. The object of the study is the reservoirs of Kostanay and the North Kazakhstan region (rivers Torgai, Tobol, and Ishim). To date, there is a need to develop monitoring methods to assess the epidemiological and … …OnLine Journal of Biological Sciences, Vol. 22, Issue 3 · 1 Sep 2022 · 5,714 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Study of the Effects of Soil Salinity on the Growth and Development of Maize (Zea Mays L.) by using Sentinel-2 ImageryShakhislam Uzakbaevich Laiskhanov, Zhassulan Maratuly Smanov, Kulyash Duisenbaevna Kaimuldinova et al.Salinization of soil cover and the constant increase in their area have become one of the most pressing problems year after year for irrigated agriculture regions. The degradation processes caused by the salinity of soils negatively affect the growth and development of food crops. Therefore, this study focused on the effects of soil salinity in the midstream of the Syrdarya … …OnLine Journal of Biological Sciences, Vol. 22, Issue 3 · 15 Aug 2022 · 6,257 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Systematic Literature Review for Implementing Data Ops in the Data Warehouse Lifecycle during the ETL PhaseAhmed Bahaa, Sherif Ragab Eldemerdash, Hanan FahmyNowadays, no one can deny the importance of Data Ware House (DWH) in all organizations. The most important components in Data Ware House (DWH) are the Extraction, Transformation, Loading (ETL) phase. Data cleaning is a basic piece of the transformation stage in Data Warehousing. This may affect critical activities such as data collection and decision-making in various organizations Data Ops … …Journal of Computer Science, Vol. 17, Issue 11 · 10 Nov 2021 · 7,547 accessesView PDFCite
Review ArticleOpen accessIn the abstractMechanistic Insights of Actions of Metal Nanoparticles on Multidrug-Resistant BacteriaSeham S. Alzahrani, Hani Mohammed Ali, Mohamed M. AhmedMultidrug-Resistant bacteria (MDR) are the most serious threat to public health. The number of infections caused by resistant strains is on the rise all over the world. At this time, new techniques for developing antimicrobial drugs are becoming necessary. Metallic Nanoparticles (MNPs) in the biomedical field are one of the most promising methods to overcome antibiotic resistance. Nanoparticles have recently … …OnLine Journal of Biological Sciences, Vol. 21, Issue 2 · 22 Jun 2021 · 6,374 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Performance of Supervised Learning Algorithms for Flood Prediction in Kemaman, TerengganuNur Najihah Shaaban, Norlida Hassan, Aida Mustapha, Salama A. MostafaFlood is one of the most destructive phenomena all over the world. Because the flooding uncertainties and the urgency to prepare for disaster management, three specific technique approaches are compared in this study to predict the flood occurrence based on historical rainfall data. The study involved the rainfall data in Kemaman, Terengganu between 2017 and 2018 extracted from the official … …Journal of Computer Science, Vol. 17, Issue 5 · 7 May 2021 · 6,887 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting the Diffuse Solar Radiation by using a New Modeling over Saudi ArabiaSamy A. KhalilWithin the arranging and execution assessment of solar energy projects, particularly within the planning and estimation of solar photovoltaic sources as elective energy sources within the future, exact evaluation of Diffuse Solar Radiation (DSR) is one of the essential and basic issues. The target of this article is to use the new model to predict DSR in four different locations … …American Journal of Applied Sciences, Vol. 18, Issue 1 · 5 May 2021 · 7,352 accessesView PDFCite
Review ArticleOpen accessIn the abstractAstrocytes Store for Memory and CognitionMajid Karimi BaghmalekiIn humans, protoplasmic astrocytes are found with high density in the cortex and hippocampus (both parts responsible for memory and cognition) and each astrocyte is in contact with two million of synapses. Astrocytes are responsible for the synaptogenesis and the removal of synapses, which is the basis of learning and memory. The synaptogenesis increases sevenfold with the addition of astrocytes … …Neuroscience International, Vol. 12, Issue 1 · 21 Apr 2021 · 17,209 accessesView PDFCite
Research ArticleOpen accessIn the abstractCovid-19 Global Spread Analyzer: An ML-Based AttemptRana Husni Al Mahmoud, Eman Omar, Khaled Taha et al.The novel Coronavirus 2019 (COVID-19) has caused a pandemic disease over 200 countries, influencing billions of humans. In this consequence, it is very much essential to the identify factors that correlate with the spread of this virus. The detection of coronavirus spread factors open up new challenges to the research community. Artificial Intelligence (AI) driven methods can be useful to … …Journal of Computer Science, Vol. 16, Issue 9 · 2 Oct 2020 · 6,925 accessesView PDFCite