Research ArticleOpen accessIn the abstractAutomating Paddy Crop Disease Classification With Deep Learning ModelsShiva Shankar J, S. Palanivel, S. China VenkateswarluRice is a staple food crop for more than 10 countries. High consumption of rice demands better yield of crop. Timely disease diagnosis in paddy is fundamental to preventing yield losses and ensuring an adequate supply of rice for a rapidly rising worldwide population. Agriculture and modern farming is one of the fields where IoT and automation can have a … …Journal of Computer Science, Vol. 21, Issue 8 · 1 Sep 2025 · 5,696 accessesView PDFCite
Research ArticleOpen accessIn the abstractBiometric Gait Recognition Based on Machine Learning AlgorithmsMohamed SayedIt is crucial to find methods that analyze large amount of data captured by cameras and/or various sensors installed all around us. Machine learning becomes a prevailing tool in analyzing such data that signifies behavioral characteristics of human beings. Gait as an identifier for use in individual recognition systems has respective and almost certainly unique key features for each person … …Journal of Computer Science, Vol. 14, Issue 7 · 6 Aug 2018 · 8,984 accessesView PDFCite
Literature ReviewOpen accessIn the abstractSocial 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 accessIn the abstractEnglish Sentiment Classification using Only the Sentiment Lexicons with a JOHNSON Coefficient in a Parallel Network EnvironmentVo Ngoc Phu, Vo Thi Ngoc TranSentiment classification is significant in everyday life, such as in political activities, commodity production and commercial activities. In this survey, we have proposed a new model for Big Data sentiment classification. We use many sentiment lexicons of our basis English Sentiment Dictionary (bESD) to classify 5,000,000 documents including 2,500,000 positive and 2,500,000 negative of our testing data set in English. … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 22 Dec 2017 · 7,327 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Note on the Classification of Compact Homogeneous Locally Conformal Kähler ManifoldsDaniel GuanIn this study, we apply a result of H. C. Wang and Hano-Kobayashi on the classification of compact complex homogeneous manifolds with a compact reductive Lie group to give some more homogeneous space involved proofs of recent classification of compact complex homogeneous locally conformal Kähler manifolds. In particular, we prove that the semisimple part S of the Lie group action … …Journal of Mathematics and Statistics, Vol. 13, Issue 3 · 2 Aug 2017 · 9,357 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Analysis of Threshold Based Compressive Sensing Algorithm in Wireless Sensor NetworkParnasree Chakraborty, C. ThariniWireless Sensor Networks (WSN) are comprised of spatially distributed sensor nodes, where each node contains sensors, processors and transceivers for communicating data. Regardless of the application in which the sensor network is serving, the data generated in the network eventually must be delivered to the sink. However the limited network bandwidth, frequent node/link failure along with the unreliable communication medium … …American Journal of Applied Sciences, Vol. 14, Issue 2 · 3 Feb 2017 · 7,507 accessesView PDFCite
Research ArticleOpen accessIn the abstractMathematical Approach to the Ruin Problem with Compounding AssetsMercy Amaebi OrukariThis study considered the Ruin problem with an income process with stationary independent increments. The characterization is obtained which is general for the probability of $r(y)$, that the asset of a firm will never be zero whenever the initial asset level of the firm is $y$. The aim of this study is also to determine $r(y) = P \{ T … …Journal of Mathematics and Statistics, Vol. 18, Issue 1 · 8 Oct 2022 · 5,627 accessesView PDFCite
Research ArticleOpen accessIn the abstractConstraints Optimization for Minimizing Stretch in Bounded-ParameterizationAnuwat Dechvijankit, Hiroshi Nagahashi, Kota AokiIn a mesh parameterization process that generates one-to-one mapping information between a three-dimensional surface and a two-dimensional plane, we need to set some constraint positions in the solving system to define a specific location or size of the mapping plane. In this study, we will discuss how to perform a bounded-parameterization that minimizes distortion based on changing of constraints setting … …Journal of Computer Science, Vol. 12, Issue 9 · 26 Nov 2016 · 7,074 accessesView PDFCite