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177 results for “Gradient”
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Research ArticleOpen accessIn the keywordsMultimodal Face Expression Recognition Using Parametric Exponential Linear Unit-Long Short-Term MemoryKampa Ratna Babu, Akula Suneetha, Kampa Kanthi KumarMultimodal facial expression recognition combines information from multiple modalities of audio and video to achieve the required accuracy and robustness. By integrating different data sources, multimodal systems capture different aspects of human expression. However, accurately recognizing facial expressions across audio and video modalities causes challenges due to variations in expression representation. In this research, Parametric Exponential Linear Unit-Long Short-Term Memory … …Journal of Computer Science, Vol. 20, Issue 10 · 17 Aug 2024 · 4,620 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAssessment of Geothermal Energy Potential of Ruwan Zafi, Adamawa State and Environs, Northeastern Nigeria, using High Resolution Airborne Magnetic DataIbe Stephen Onyejiuwaka, Uche Kelvin IdumaThe aeromagnetic dataset over Ruwan Zafi, Adamawa State and environs, Northeastern Nigeria, was interpreted in this study, in order to map out places with the potentials for application of geothermal energy for electricity generation and geothermal direct heating. The analysis of the spectral of the magnetic dataset delineated the range of the sediment thickness as 4273.58 and 8693.32 m and … …Current Research in Geoscience, Vol. 10, Issue 1 · 4 Dec 2020 · 12,357 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSupervised Machine Learning Model-Based Approach for Performance Prediction of StudentsAbdul Razaque, Abrar M. AlajlanPredicting students’ performance is one of the crucial issue for learning contexts, since it helps to develop alternative recommendation systems for academically weak students. Thus, several methods and practices have been applied for educational improvement. However, most of the existing methods do not determine the performance of the students. In this study, we have studied the execution of six machine … …Journal of Computer Science, Vol. 16, Issue 8 · 28 Aug 2020 · 7,089 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAbnormalities in Ultrasonic (C-Scan) Images of Composite Structures: Impact Damaged Versus Hole DamagedMahmoud Zaki IskandaraniThis paper is about applying image processing to detect different types and levels of damage in composite structures using in C-scan images produced by ultrasonic testing. This method plays an important role as it can detect any discontinuities or flaws in the specimen. To analyze such critical image in an, automated inspection environment an image processing method that correlates Threshold … …Journal of Computer Science, Vol. 15, Issue 7 · 23 Jul 2019 · 8,237 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStatistical Analysis of Geothermal Data of an Oil Field, in Parts of Niger Delta, NigeriaEmujakporue Godwin Omokenu, Leonard I. NwosuGeothermal gradient and heat flow were computed from bottom hole temperatures in an oil field in Niger Delta, Nigeria. The statistical analysis of computed geothermal data was carried out. The computed geothermal gradient vary from 17.3±0.14 to 24.33±0.70°C/Km with an average of 22.24±0.57°C/km. The heat flow ranges from 38.06±0.31 to 56.39±2.41 mWm-2 with an average of 50.15±1.25 mWm-2. The computed … …Current Research in Geoscience, Vol. 6, Issue 2 · 26 Sep 2016 · 7,969 accessesView PDFCite
Research ArticleOpen accessIn the keywordsK-MEANS BASED IMAGE DENOISING USING BILATERAL FILTERING AND TOTAL VARIATIONDanu Wiroteurairuang, Sanun Srisuk, Chom Kimpan, Thanwa SripramongBilateral filter and Total variation image denoising are widely used in image denoising. In low noisy level, bilateral filtering is better than TV denoising for it reveals better SNR and sharper edges. However, in high noisy level, TV denoising outperforms bilateral filtering in terms of SNR and more details of non edges. It is very difficult to perform denoising of … …Journal of Computer Science, Vol. 10, Issue 12 · 30 Dec 2014 · 8,175 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCOUPLED NITROGEN AND OXYGEN ISOTOPE STUDY OF NITRATE AT A RURAL UNLINED LANDFILL IN WESTERN VICTORIA, AUSTRALIAJohn W. Moreau, Andrew M. MinardUnderstanding of site-scale physical and chemical heterogeneities will inform remediation strategies for unlined rural landfills worldwide. The aim of this study was to characterize potential sources of nitrogen contamination to groundwater at an unlined landfill in rural western Victoria, Australia. Results revealed simultaneously high concentrations of both nitrate and ammonia within several wells, indicative of heterogeneous redox potentials within the … …American Journal of Environmental Sciences, Vol. 10, Issue 4 · 30 Jun 2014 · 7,610 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Robust Recognition System for Pecan Weevil using Artificial Neural NetworksSaleh Mufleh Al-SaqerProblem statement: Pecan Weevil is a widely found pest among pecan trees and these pests are known to cause significant damage to the pecan trees resulting in enormous annual losses to pecan growers. Traditional identification techniques for pecan weevil include traps with pheromones to detect the infestation of these pests. However, these traditional methods require expensive labor hours to set-up … …American Journal of Applied Sciences, Vol. 9, Issue 9 · 14 Jul 2012 · 6,836 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPerformance of Improved Directed Diffusion Protocol for Sensor Networks under Different Mobility ModelsK. E. Kannammal, T. PurusothamanProblem statement: In sensor networks, some routing protocols performance differs under different mobility models. In ns2, there are two kinds of directed diffusion protocols, rate based gradient mechanism (diffusion/rate) and probability based gradient mechanism (diffusion/prob). In this research, we proposed a method to improve the performance of Directed diffusion/prob protocol by adding a new interest message propagation mechanism and analyzed … …Journal of Computer Science, Vol. 8, Issue 5 · 25 Feb 2012 · 6,753 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCerebrovascular Accident Attack Classification Using Multilayer Feed Forward Artificial Neural Network with Back Propagation ErrorOlatubosun Olabode, Bola Titilayo OlabodeProblem statement: Most important problems of medical diagnosis. When there is a cerebrovascular accident attach the chances of a successful treatment depends essentially on the early diagnosis. In practice the part of medical errors while diagnosing a stroke type comes to 20-45% even for experienced doctors and the scope of methods of neurovisualization at stroke diagnosis are limited. Approach: In … …Journal of Computer Science, Vol. 8, Issue 1 · 26 Oct 2011 · 7,335 accessesView PDFCite