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117 results for “Variety Model”
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Research ArticleOpen accessIn the abstractComplexity and the Ecological Impacts of Tourism on Wetlands Ecosystem and Rural Sustainability: A Case Study of Zrebar WetlandsSima Saadi, Hosein Karimzadeh, Akbar RahimiDue to its natural and ecological qualities, rural tourism has drawn greater attention in recent decades. The development of rural tourism provides a variety of advantages that influence the environment and local resources. Therefore, this study looks at how tourism affects the sustainability of the Zrebar wetland, an urban-rural area in the west of Iran, and the wetland ecosystem. In … …American Journal of Agricultural and Biological Sciences, Vol. 18, Issue 1 · 14 Jun 2023 · 7,105 accessesView PDFCite
Research ArticleOpen accessIn the abstractAspect-Based Sentiment Classification for Detecting the Cognitive Triad Mechanism of DepressionShreekant Jere, Annapurna P PatilThe cognitive triad mechanism of Beck’s cognitive theory is critical for early diagnosis and prognosis of depression. According to the cognitive triad mechanism, negative views about the self, the future, and the world appear to be routine in depressed people, occurring spontaneously. The challenge in the clinical interview is that the individuals may have trouble explaining their past and current … …Journal of Computer Science, Vol. 18, Issue 12 · 28 Nov 2022 · 6,111 accessesView PDFCite
Research ArticleOpen accessIn the abstractS-CPM: Semantic-Similarity Cluster based Privacy Preservation Model with Cell Generalization PrincipleSatish B Basapur, B S Shylaja, VenkateshTimely data analysis on a wide variety and a large volume of data unveil valuable information or new insights. The analysis results could be used to innovate new avenues in health care service, business and e-service, etc. However, releasing, storing and reusing sensitive data to third parties results in breaching the data privacy of the individual. To combat privacy breach … …Journal of Computer Science, Vol. 18, Issue 3 · 17 Mar 2022 · 6,314 accessesView PDFCite
Research ArticleOpen accessIn the abstractFusing CNN Models for Improved Parkinson’s Disease Detection from Handwritten FeaturesSabrina Benredjem, Tahar MekhazniaNeurodegenerative Diseases (NGD) are a group of progressive neurological disorders, including cognitive decline as Alzheimer’s Disease (AD) and Parkinson’s Disease (PD) that result in the progressive loss of neuronal structure or function. This can lead to a variety of symptoms, in this study we are interested in PD one of the neurological diseases that causes the loss of dopamine-producing neurons … …Journal of Computer Science, Vol. 21, Issue 2 · 22 Jan 2025 · 6,306 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Binary and Ternary Models in Powder Packing Density for Additive Manufacturing ApplicationsTaher M. Abu-Lebdeh, Oluwatobiloba Adetokunbo KalejaiyePowder packing is a very important aspect of additive manufacturing (3-D printing), as it directly impacts the final physical and mechanical properties of the printed objects. Improving the packing density of powder directly impacts the microstructure of the finished 3D-printed product, which also contributes to the surface finish. In order to achieve the densest packing for a powder, different sizes … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 2 · 15 Jun 2021 · 7,275 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of a Model, Selection and Evaluation of the Source Material for the Plant Breeding of Alfalfa Varieties with Increased Seed ProductivityGulmira Toktarovna Ualiyeva, Ualikhan Malgazhdarovich Sagalbekov, Marden Ersainovich Baidalin, Hristina YanchevaThe article presents the results of laboratory and field experiments on the source material of alfalfa in the conditions of Northern Kazakhstan. The purpose of the present research was to study and evaluate the selective value of alfalfa variety populations, as well as to isolate a new source material for creating alfalfa varieties with high seed yields. The experiments were … …OnLine Journal of Biological Sciences, Vol. 22, Issue 1 · 1 Apr 2022 · 5,701 accessesView PDFCite
Research ArticleOpen accessIn the abstractFace Verification for Person Re-Identification from Surveillance Camera and Drone-based VideosVimala Mathew, K. Ramesh, Tom Toby, Anu Mary ChackoPerson re-identification in surveillance camera videos is attracting widespread interest due to its increasing number of applications. It is being applied in the field of security, healthcare, product manufacturing, product sales and more. Though there are a variety of methods to do person re-identification, face verification-based methods are very much effective. In this study, a deep learning framework to perform … …Journal of Computer Science, Vol. 17, Issue 7 · 28 Jul 2021 · 7,317 accessesView PDFCite
Review ArticleOpen accessIn the abstractVisualization of Data Mining Techniques for the Prediction of Breast Cancer with High Accuracy RatesVasudev Sharma, Raj Kumar Rajasekaran, Shreya BadhrinarayananBreast cancer is one of the leading causes of death in women worldwide. Around one in 30 women are affected by breast cancer. Mammography has helped in detecting breast cancer in the early stages which have reduced mortality. The diagnosis of breast cancer is dependent on a variety of parameters. In this paper, we aim to create the best model … …Journal of Computer Science, Vol. 15, Issue 1 · 21 Jan 2019 · 8,948 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Study of Two Reactive Routing Protocols with Realistic Mobility ModelJohn Tengviel, Agyemang SylvesterA Mobile Ad-hoc Networks (MANETs) are dynamic wireless networks that can be formed without the need for any existing infrastructure in which each node can act as a host as well as a router. One of the main challenges of MANETs is the design of robust routing protocols that adapt to the frequent and randomly changing network topology. A variety … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 4 · 21 Dec 2020 · 6,231 accessesView PDFCite
Research ArticleOpen accessIn the abstractFarmer-Friendly Mobile Application for Automated Leaf Disease Detection of Real-Time Augmented Data Set using Convolution Neural NetworksRishiikeshwer B. S., T. Aswin Shriram, J. Sanjay Raju et al.In farming, crops are prone to a wide variety of diseases. The impact of sudden climatic change has adverse effects on their growth, providing incubation to harmful viruses and bacteria. Diseases to crops imply a significant negative impact on health, economy and livelihood of the human population. According to the data from the Food and Agricultural Organization (FAO), an average … …Journal of Computer Science, Vol. 16, Issue 2 · 24 Aug 2019 · 8,987 accessesView PDFCite