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Research ArticleOpen accessIn the abstractOptimized Fractal Fusion Driven Deep Neural Network: An Efficient Hybrid Methodology for Disease Detection and Classification in Plant LeavesDeepkiran Munjal, Mrinal Pandey, Laxman SinghPlant diseases and pest attacks are among the major issues in agriculture, which have a great impact on crop growth and yield. Early and correct detection of these diseases is vital for effective management and keeping plant health at the desired level. This research proposes a new method for detection and classification of plant diseases, the Optimized Fractional Fusion Deep … …Journal of Computer Science, Vol. 21, Issue 12 · 8 Jan 2026 · 2,223 accessesView PDFCite
Research ArticleOpen accessIn the abstractCohesion Analysis of Rubber Stand Ages Using Object-Based Image Analysis and Spatial AutocorrelationJiradech Majandang, Suepsai Prasansat, Patiwat Littidej et al.Latex and rubber wood are crucial raw materials used in various industries and play a significant role in the economies of many countries, particularly in tropical regions. Mapping the areas where these materials are planted and classifying the age of rubber stands is important for managing growth assessment, yield assessment, and estimating the number of mature rubber trees that will … …Journal of Computer Science, Vol. 20, Issue 12 · 29 Nov 2024 · 5,293 accessesView PDFCite
Research ArticleOpen accessIn the abstractParticipation of Dermacentor Reticulatus Imago in the Reservation of Bovine Leukemia VirusY. Glazunov, Ya. Kabitskaya, L. Glazunova et al.Strict implementation of measures for the prevention and elimination of bovine leukemia does not allow completely getting rid of this disease. In all likelihood, the leukemia virus has additional transmission routes that have not been taken into account until today. In the Tyumen region, blood-sucking insects and ticks are widespread and take part in the transmission of some infectious and … …OnLine Journal of Biological Sciences, Vol. 22, Issue 4 · 2 Nov 2022 · 5,074 accessesView PDFCite
EditorialOpen accessIn the abstractVolume 3: SGAMR is Always on Track!Chiara Bedon, Mario D’Aniello, Flavio StochinoThe year 2019 represents a new growing step for SGAMR, that starts to publish “continuously” all the accepted papers, once they are subjected to positive, blinded peer-review process. This is a further effort to improve the service for the contributors and for the readers, given that the efficiency of the journal to share knowledge can be maximized. Hänig et al. … …International Journal of Structural Glass and Advanced Materials Research, Vol. 4, Issue 1 · 28 Aug 2020 · 5,711 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 abstractRandom Forest-Based Genome Analysis for Disease Association and SNP Marker IdentificationXiangdong LiuAt present, genomic data analysis has the problems of insufficient model interpretation and limited computational efficiency in disease association research. As a powerful machine learning algorithm, Random Forest has demonstrated excellent ability in processing complex and multi-dimensional data sets and has gradually become a popular tool in the field of bioinformatics. The purpose of this paper is to explore how … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 25 Jul 2025 · 5,533 accessesView PDFCite
Research ArticleOpen accessIn the abstractImage Binarization Using Block Boundary Pixels MeanO. Imocha Singh, T. Romen SinghInput image pixels classification into two intensities like black and white as foreground and background respectively refers to image binarization. Binarization with a local threshold value is termed as adaptive image binarization. Locally adaptive thresholding techniques are local pixels dependent process. Local environment dependent process is normally time consuming one and hence its computational time complexity is also local region … …Journal of Computer Science, Vol. 13, Issue 11 · 28 Nov 2017 · 7,811 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessment of the Role of Oil and Gas Production Complex in Anthropogenic Changes in Vegetation in Mangystau RegionLyudmila Pavlichenko, Espolayeva Aikerim, Aliya Aktymbayeva, Iztayeva AzizaThe article includes the detailed description of a simplified method of solving the integrated environmental assessment inverse problem. The method was developed by the authors on the basis of using ready map of expert specific environmental assessment of anthropogenic transformation of vegetation in Mangistau region. The first part of the methodology is aimed on obtaining concrete actual evidence which is … …American Journal of Environmental Sciences, Vol. 13, Issue 2 · 5 May 2017 · 7,235 accessesView PDFCite
Research ArticleOpen accessIn the abstractMycobacterium tuberculosis Complex Mutations in Drug Resistant Clinical Isolates from Southwest MexicoMartínez-Cruz Perla Mónica, Nakamura-López Yuko, Quintero-Hernández Verónica et al.Mutations in target genes have been described in Mycobacterium tuberculosis Complex (MTBc) drug resistant isolates worldwide. In Mexico, not enough information has been reported in this concern. The aim of this study was to characterize mutations related to resistance to first line drugs in MTBc isolates from Oaxaca, Mexico. MTBc isolates were identified in clinical samples from Tuberculosis (TB) patients. … …American Journal of Infectious Diseases, Vol. 17, Issue 4 · 28 Oct 2021 · 6,667 accessesView PDFCite
Literature ReviewOpen accessIn the abstractEfficient Morphometric Techniques in Alzheimer’s Disease Detection: Survey and ToolsVinutha N., P. Deepa Shenoy, K.R. VenugopalThe development of advance techniques in the multiple fields such as image processing, data mining and machine learning are required for the early detection of Alzheimer’s Disease (AD) and to prevent the progression of the disease to the later stages. The longitudinal and cross sectional images of elderly subjects were obtained from the standard datasets like ADNI, OASIS, MIRIAD and … …Neuroscience International, Vol. 7, Issue 2 · 4 Oct 2017 · 8,450 accessesView PDFCite