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47 articles for “characteristic area”

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Research ArticleOpen accessIn the abstractApplication of a Beta Regression Model for Covariate Adjusted ROCXing Meng, J.D. TubbsThe Receiver Operating Characteristic (ROC) curve and the area under the ROC (AUC) are widely used in determining the diagnostic capability of a binary classification procedure. Since the test performance is affected by covariates, the ROC and AUC have been utilized in a Generalized Linear Regression (GLM) setting. In this study, we revisit a problem where the AUC regression model … …Current Research in Biostatistics, Vol. 10, Issue 1 · 18 Jun 2020 · 13,966 accessesView PDFCite
Research ArticleOpen accessIn the abstractDiagnosis of Hepatitis Disease with Logistic Regression and Artificial Neural NetworksAlaa M. Elsayad, Ahmed M. Nassef, Mujahed Al-DhaifallahHepatitis C refers to the inflammatory state of the liver caused by viruses, bacteria, fungi, and exposure to toxins such as alcohol and self-immunity. The diagnosis requires investigating many laboratory tests and comparing the results to those of the former patients with the same conditions. This study presents the results of our experiments to build a hybrid system that combines … …Journal of Computer Science, Vol. 16, Issue 3 · 27 Mar 2020 · 7,466 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegrations of Seismic Data, Petro-physical Evaluation and Reserve Estimation in Fimkassar Oil Field of Eastern Potwar, PakistanMuhammad Ishfaque, Hafeez Ur Rehman, Bilal Khalid et al.In upper Indus basin Potwar plateau is a successful exploration area for hydrocarbon. The study area is consisting of Fimkassar oil field and research data is obtained from Land Mark Resources with the special permission of Director General of Petroleum Concession Ministry of petroleum and natural resources Islamabad. The study area consists of well#1 and #2 and seismic lines 97-CP-07, … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 2 · 13 Apr 2017 · 8,092 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing IoT RPL Protocol Security Against Black Hole Attacks with Deep Learning TechniquesKrari Ayoub, Hajami Abdelmajid, Toubi Ayoub, Mihi SoukainaAs the Internet of Things (IoT) extends its reach into critical infrastructures, it encounters escalating security threats, particularly black hole attacks that jeopardize network communication. The growing use of IoT in essential services underscores the need for robust network integrity. Driven by this urgency, our research has developed a sophisticated detection framework that effectively identifies black hole attacks within IoT … …Journal of Computer Science, Vol. 20, Issue 11 · 18 Oct 2024 · 5,000 accessesView PDFCite
EditorialOpen accessIn the abstractThe Timeless Contribution of Rootstocks towards Successful Horticultural Farming: From Ancient Times to the Climate Change EraIoannis E. PapadakisGrafting is a horticultural practice by which living vegetative plant organs (root, stem and/or buds) of either the same genotype or, usually, different genotypes belonging to the same species, genus, subfamily and/or family, are tightly connected to each other to form a double-compound plant. In fact, it is a method of asexual (clonal-vegetative) propagation of plants. The basal part of … …American Journal of Agricultural and Biological Sciences, Vol. 11, Issue 4 · 16 Dec 2016 · 9,521 accessesView PDFCite
Research ArticleOpen accessIn the abstractScorpius: sFlow Network Anomaly SimulatorMarcos V.O. de Assis, Mario Lemes Proença Jr.Due to the increasing amount of data traveling computer networks every day, efficient management of this information is required to ensure the quality of the services provided by them. Development of new network management tools and mechanisms is a widely approached area due to its importance, not only to the current technology, but also to next generation network standards and … …Journal of Computer Science, Vol. 11, Issue 4 · 23 Jul 2015 · 7,528 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Time-Delayed Neural Networks via Rightmost Eigenvalue PositionsSun Yi, Sangseok Yu, Jung H. Kim, Taher M. Abu-LebdehNeural networks have been frequently used in various areas. In the implementation of the networks, time delays and uncertainty are present and known to lead to complex behaviors, which are hard to predict using classical analysis methods. In this study, stability and robust stability of neural networks considering time delays and parametric uncertainty is studied. For stability analysis, the rightmost … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 1 · 26 Jan 2015 · 8,057 accessesView PDFCite
Research ArticleOpen accessIn the abstractCONTENT BASED BATIK IMAGE RETRIEVALA. Haris Rangkuti, Agus Harjoko, Agfianto Eko PutroContent Based Batik Image Retrieval (CBBIR) is an area of research that focuses on image processing based on characteristic motifs of batik. Basically the image has a unique batik motif compared with other images. Its uniqueness lies in the characteristics possessed texture and shape, which has a unique and distinct characteristics compared with other image characteristics. To study this batik … …Journal of Computer Science, Vol. 10, Issue 6 · 27 Jan 2014 · 7,417 accessesView PDFCite
Research ArticleOpen accessIn the abstractStudy the Characteristic of P-Type Junction-Less Side Gate Silicon Nanowire Transistor Fabricated by Atomic Force Microscopy LithographyArash Dehzangi, Farhad Larki, E.B. Saion et al.Problem statement: Nanotransistor now is one of the most promising fields in nanoelectronic in order to less energy consuming and application to create developed programmable information processors. Most of Computing and communications companies invest hundreds of millions of dollars in research funds every year to develop smaller transistors. Approach: The Junction-less side gate silicon Nano-wire transistor has been fabricated by … …American Journal of Applied Sciences, Vol. 8, Issue 9 · 1 Aug 2011 · 8,635 accessesView PDFCite
Research ArticleOpen accessIn the abstractInter-Area Power Systems Stability Improvement by Static Synchronous Series CompensatorPrechanon KumkratugProblem statement: The inter-area power systems have special characteristic of the stability behavior. The improvement of inter-area power system is one of the important aspects in power system. Approach: This study applies the Static Synchronous Series Compensator (SSSC) to improve stability of inter-area systems. The SSSC is modeled and then is applied to be incorporated into the power system model … …American Journal of Applied Sciences, Vol. 8, Issue 7 · 24 Jun 2011 · 7,006 accessesView PDFCite