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Research ArticleOpen accessEvery word in the titleA Novel River Meander Migration and Cutoff Model: A New PerspectiveYoussef Ismail HafezAccurate prediction of river meander migration is crucial for effective river management and operation, particularly in light of climate changes and human-induced interventions. Existing models often rely on single-equation approaches, such as bank erosion rate versus excess bank velocity or excess bank shear stress, which limit their ability to comprehensively capture the complex dynamics of meander evolution. This study presents … …American Journal of Environmental Sciences, Vol. 21, Issue 1 · 21 Mar 2025 · 7,683 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTransverse Bed-Slope, Lateral Bed-Load Rate and Bed-Load Deviation Angle in Meandering Alluvial StreamsYoussef Ismail HafezA novel expression for the deviation angle of the bed-load discharge is developed which allows its distinction with the other deviation angles of the flow velocity and boundary shear stress. A transverse bed-slope equation is developed which compares very well with experimental data and field data at the Fall River and Muddy Creek, USA. Stream-wise computations are successfully performed of … …American Journal of Environmental Sciences, Vol. 20, Issue 1 · 9 Sep 2024 · 4,912 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTransverse Velocity, Transverse Boundary Shear Stress and Flow Deviation in Meandering Open ChannelsYoussef Ismail HafezThis study presents a novel approach for characterizing the mechanics of flow in mildly meandering open channels, specifically focusing on the development of a new vertical distribution equation for transverse velocity. Unlike existing equations in the literature that rely on complex logarithmic or integral forms or infinite series forms, which are impractical for hydraulic engineers, the proposed equation employs ordinary … …American Journal of Environmental Sciences, Vol. 20, Issue 1 · 25 Jul 2024 · 5,058 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSmart Harvesting Decision System for Date Fruit Based on Fruit Detection and Maturity Analysis Using YOLO and K-Means SegmentationMohamed Ouhda, Zarouit Yousra, Brahim AksasseThe date palm (Phoenixdactylifera) is a large palm with exotic fruits measuring up to 30 metersin height. The date palm produces fruits rich in nutrients provides a multitudeof secondary products, and generates income necessary for the survival of alarge population. Losses attributed to manual harvesting encompass bothquantitative and qualitative aspects, with the latter measured throughattributes such as appearance, taste, texture, … …Journal of Computer Science, Vol. 19, Issue 10 · 9 Sep 2023 · 5,813 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAnalysis of Big Data Football Club Market Value Using K-Means and Linear Regression Mining MethodsJohanes Fernandes Andry, Riama Sibarani, Vlavio Nathanael YeftaFootball clubs store a lot of data about their players, squad, transfer market, and market value, so big data is needed to process this data. This data can be analyzed to gain insight into the club's market value. Changes in player performance, age, and squad size can be analyzed using statistical methods. These digital data will provide information about the … …Journal of Computer Science, Vol. 19, Issue 2 · 10 Feb 2023 · 5,991 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSEGMENTATION OF ELECTROENCEPHALOGRAM SIGNALS DURING EPILEPTIC SEIZURES BY USING FUZZY C-MEANSMuhammad Abdy, Tahir AhmadElectroencephalogram (EEG) is a recording of electrical activity of the brain. It contains valuable information related to the different physiological states of the brain. A quantitative EEG analysis has been developed over the years that introduce objective measure, reflecting not only the characteristics of the brain activity itself but also giving clues concerning the underlying associated neural dynamics. In this … …American Journal of Applied Sciences, Vol. 11, Issue 10 · 11 Nov 2014 · 6,230 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Optimized Mobile Cloud Computational Offloading Framework using K-Means AlgorithmMeena Veeraiyan, S. Kousika, J. Senthilkumar, Joy Christy AntonysamiOffloading the execution of heavy computational modules from mobile devices to Mobile Cloud Computing (MCC) is inevitable in today’s era as it mainly focuses in consuming less battery power and execution time. But, the problem incurred with identifying the most optimal cloud device to map each module still remains a challenge in cloud computing environment. In this paper, a novel … …Journal of Computer Science, Vol. 16, Issue 2 · 31 Jan 2020 · 8,084 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAutomatic Counting for Live and Dead Cells from Trypan Blue-Stained Images by Image Analysis Based on Adaptive K-Means ClusteringSu Mon Aung, Kanyanatt Kanokwiroon, Tonghathai Phairatana, Surapong ChatpunComputer-assisted image analysis can be employed to reduce the time consumed in the routine task such as cell counting. This study aimed to establish a method to perform this routine task based on an image analysis to automatically count live and dead cells after staining with trypan blue dye. Gray scale conversion and morphological operation were applied to the input … …Journal of Computer Science, Vol. 15, Issue 2 · 1 Mar 2019 · 8,566 accessesView PDFCite
Literature ReviewOpen accessEvery word in the titleSocial Cohesion: Its Meaning and ComplexitiesItumeleng Mekoa, Dauda BusariThe concept Social cohesion is relative and a somewhat difficult concept to define. Many scholars have offered varying degree of definitions but the main challenge noticed in the definition, is the multiple definitions based on individual scholar’s orientation or ideology. Another problem poised by these definitions of the concept is that of multi-level and multi-dimensional nature. Contemporary scholars of social … …Journal of Social Sciences, Vol. 14, Issue 1 · 27 Mar 2018 · 9,915 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSegmentation of Exudates via Color-based K-means Clustering and Statistical-based ThresholdingAtef Zaki Ghalwash, Aliaa Abdel-Halim Youssif, Ali Mohamed Nabil AllamThis paper provides a novel approach for the problem of detecting the yellowish lesions in the eye fundus images, such as hard and soft exudates, in a fully-automated manner. To solve this problem of segmenting exudates automatically, the fundus image was first converted into the L*a*b* color space to decouple the chromaticity information of the image. Next, the fundus image … …Journal of Computer Science, Vol. 13, Issue 10 · 14 Oct 2017 · 7,725 accessesView PDFCite