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261 articles for “S-Numbers”
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Research ArticleOpen accessIn the abstractHMGD: A High-Accuracy Model for Detection and Prediction of Respiratory Genetic DiseasesKamal ElDahshan, Hesham Hefny, Iman Ahmed ElSayedRespiratory genetic diseases are considered a major participant in the reasons of death worldwide nowadays and were one of the major participants in helping in increasing the numbers of COVID-19 patients. It is considered one of the most alarming diseases affecting in particular the respiratory system. The journey of early detection of respiratory genetic diseases is considered to be very … …Journal of Computer Science, Vol. 20, Issue 6 · 30 Mar 2024 · 5,282 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenerating IoT Specific Anomaly Datasets Using Cooja Simulator (Contiki-OS) and Performance Evaluation of Deep Learning Model Coupled with Aquila OptimizerVandana Choudhary, Sarvesh Tanwar, Tanupriya ChoudhuryIn recent times, the massive expansion of the Internet of Things (IoT) has transformed various facets of everyday life and industries. The compelling cause behind the widespread adoption of IoT is the increasing availability of affordable, compact, and energy-efficient computing devices. While these devices offer significant benefits, they also raise substantial security and privacy challenges. Consequently, safeguarding IoT networks and … …Journal of Computer Science, Vol. 20, Issue 4 · 1 Feb 2024 · 6,853 accessesView PDFCite
Research ArticleOpen accessIn the abstractInfluence of Varietal Characteristics and Planting Schemes of Remontant Raspberries on their ProductivityLyazzat Zhailibayeva, Sergey Oleichenko, Yerlan Dutbayev et al.The red raspberry (Rubus idaeus L.) is a member of the Rosaceae family. The production of raspberries has increased rapidly worldwide. In recent years, about 300 ha of remontant raspberry varieties have been planted in the Almaty region, Kazakhstan. These varieties are technologically easier to grow compared to traditional varieties because they bear fruit on annual shoots and do not … …OnLine Journal of Biological Sciences, Vol. 24, Issue 2 · 29 Dec 2023 · 5,457 accessesView PDFCite
Research ArticleOpen accessIn the abstractMeasuring Uncertainty to Extract Fuzzy Membership Functions in Recommender SystemsHeersh Azeez Khorsheed, Sadegh AminifarNowadays, due to the high volume of choices for customers which causes confusion, the use of recommender systems is strongly growing. Of course, existing systems have two problems, one is complexity and the other is failure to consider uncertainty. In this article, we have reduced the complexity of the system by using a fuzzy innovative system and solved the problem … …Journal of Computer Science, Vol. 19, Issue 11 · 15 Oct 2023 · 5,497 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Study: Algorithms for Short Message Service ClassificationEvaristus Didik Madyatmadja, Aldi, Fiona Fheren et al.This research aims to classify Short Message Service (SMS) data by applying classification models that have studied SMS data to classify SMS data into SMS spam and SMS ham. The classification model is made from data mining algorithms: Naive Bayes and support vector machine. Before implementing the two algorithms, the SMS data will go through a text preprocessing stage, including … …Journal of Computer Science, Vol. 19, Issue 11 · 29 Sep 2023 · 4,998 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessment of Spring Wheat Varieties for Pest ResistanceRimma Meyramovna Ualiyeva, Mariya Mikhailovna Kaverina, Lyubov Nikolaevna Ivanko, Sayan Berikovich ZhangazinThe article is devoted to the study of spring wheat varieties cultivated in the steppe area of North-Eastern Kazakhstan and their resistance to the main pests. The dynamics of the number and phenology of spring wheat phytophages were investigated in relation to the varietal and climatic characteristics of agricultural production. Modern spring wheat varieties' resistance to the main pests was … …OnLine Journal of Biological Sciences, Vol. 23, Issue 4 · 12 Sep 2023 · 5,415 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Comprehensive Overview of Handwritten Recognition Techniques: A SurveySardar Hasen Ali, Maiwan Bahjat AbdulrazzaqDeep learning and deep neural networks, particularly Convolutional Neural Networks (CNNs), are rapidly growing areas of machine learning and are currently the primary tools used for image analysis and classification applications. Handwriting recognition involves using computer algorithms and software to interpret and recognize handwritten text and drawings and has various applications such as automated handwriting analysis, document digitization, and handwriting-based … …Journal of Computer Science, Vol. 19, Issue 5 · 8 Apr 2023 · 8,771 accessesView PDFCite
Research ArticleOpen accessIn the abstractIncreasing Plant Health using Plant Growth Regulator from Rice RhizobacteriaMaimuna Nontji, Ayu K. Parawansa, Saida Saida et al.Plant health is a very important factor in the agriculture system. The presence of plant hormones such as Auxin, gibberellic acid, and siderophores with variation numbers in the plant gives different effects on plant health. Related to the environment rich with rhizobacteria, they have a unique function because rhizobacteria can produce a chemical compound known as Plant Growth Promoting Rhizobacteria … …OnLine Journal of Biological Sciences, Vol. 23, Issue 1 · 3 Jan 2023 · 6,037 accessesView PDFCite
Research ArticleOpen accessIn the abstractCombining SMOTE and OVA with Deep Learning and Ensemble Classifiers for Multiclass ImbalancedRattanawadee PanthongThe classification of real-world problems alwaysconsists of imbalanced and multiclass datasets. A dataset having unbalanced andmultiple classes will have an impact on the pattern of the classification modeland the classification accuracy, which will be decreased. Hence,oversampling method keeps the class of dataset balanced and avoids theoverfitting problem. The purposes of the study were to handle multiclassimbalanced datasets and to improve … …Journal of Computer Science, Vol. 18, Issue 8 · 23 Aug 2022 · 6,099 accessesView PDFCite
Research ArticleOpen accessIn the abstractSensitivity of Okra Growth Indices to Various Moisture ConditionsAkeem MakindeThis study evaluates the effects of flooding conditions on two Okra cultivars (Ibadan local and Jokoso) at Abeokuta, Nigeria. The flooding conditions vary from continuous Flooding (FLD), Wetting after three Days (W3D), Wetting after five Days (W5D), Wetting after seven Days (W7D), and Wetting after ten Days (W10D). The agronomic parameters (leaf width, leaf length, plant height, numbers of leaves, … …American Journal of Agricultural and Biological Sciences, Vol. 17, Issue 1 · 4 Aug 2022 · 6,549 accessesView PDFCite