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35 results for “Output Layer”
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Research ArticleOpen accessIn the keywordsEvaluation of Surface Drag Interval in the Variable SituationsParisa Ashrafi, Amir Hossein Ashrafi, Hossein Gholami et al.Tools applied in different fields of engineering are artificial neural networks to model non-linear systems which are efficient and useful. Artificial neural networks consist of input and output layers with one or more hidden layers between them. In fact, one or more processing elements or neurons are used in each layer. Input layer neurons are the independent variables studied and … …American Journal of Engineering and Applied Sciences, Vol. 15, Issue 1 · 12 Mar 2022 · 6,001 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving the Eastern Arabic Hand Written Digits Recognition Using Deep LearningHamdy Morsy, Hashim M. Hasanien et al.Convolutional neural networks CNNs or simply deep learning was designed for the challenging of object recognition such as digits, characters and even objects that can be classified. The deep convolutional networks are designed to be trained through using a large dataset of the classes. The degree of complexity of recognizing handwritten digits are different from person to person and even … …Journal of Computer Science, Vol. 21, Issue 6 · 27 May 2025 · 4,930 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving Arabic Named Entity Recognition with a Modified Transformer EncoderHamid Sadeq Mahdi Alsultani, Ahmed H. AliwyThis article investigates the use of a transformer encoder for Arabic Named Entity Recognition (NER). The classic transformer that was originally proposed for machine translation adopts the absolute sinusoidal position embedding which is aware of distance but unfortunately is not aware of the directionality. However, in the NER task, both distance and orientation are crucial. Therefore, in this study, instead … …Journal of Computer Science, Vol. 19, Issue 5 · 10 Apr 2023 · 5,330 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalyzing Effect on Residual Learning by Gradual Narrowing Fully-Connected Layer Width and Implementing Inception Block in Convolution LayerSaurabh SharmaResearch conducted on the advancement of CNN architecture for computer vision problems focuses on strategically choosing and modifying convolution hyperparameters (kernel, pooling, etc.). However, these research works don't exploit the advantage of employing multi fully-connected layers post the core schema to avail further performance improvements, which have been identified as the first research gap. Studies were also conducted to address … …Journal of Computer Science, Vol. 18, Issue 5 · 24 May 2022 · 6,044 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Depression Levels using Back Propagation Neural NetworkEddy Muntina Dharma, Yaya Heryadi, Lukas et al.Depression is a mood disorder characterized by feelings of deep sadness and a sense of indifference. When depression recurs in moderate or severe intensity, it can be a serious health condition. The most effective way to deal with this problem is to predict the symptoms of depression at an early stage. In this study, a Back Propagation Neural Network (BPNN) … …Journal of Computer Science, Vol. 18, Issue 3 · 18 Mar 2022 · 6,882 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of a Mechatronic Control System for a Mechanical Fuel Injection System of a Four Cylinder Automotive Diesel Engine By using Matlab and SimulinkMostafa Abdulrahman Kortam, Farid Abdulaziz Tolba, Adham Mohamed Abdelkader HassenThe aim of this paper is to develope a mechatronic control system to replace mechanical fuel injection system of a four-cylinder automotive diesel engine, to study what are the important electronics fuel injection parameters which have the highest effect on the engine performance. All the paperwork performed on Isuzu engine 4HF1 which is 4 cylinder diesel engine working with fully … …Journal of Mechatronics and Robotics, Vol. 2, Issue 1 · 24 Mar 2018 · 13,566 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization and Prediction of Motorcycle Injection System Performance with Feed-Forward Back-Propagation Method Artificial Neural Network (ANN)La Ode Ichlas Syahrullah, Nazaruddin SinagaThis research studied the use of Artificial Neural Network (ANN) using feed-forward back-propagation model to optimize and predict the performance of a motorcycle fuel injection systems of gasoline. The parameters such as speed, throttle position, ignition timing and injection timing is used as the input parameters. While the parameters of fuel consumption and engine torque is used as the output … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 2 · 16 Feb 2016 · 13,784 accessesView PDFCite
Research ArticleOpen accessIn the abstractADAPTIVE I/O SWITCHING FOR SEAMLESS CONVERGENCE OF SMART PHONES AND EXTERNAL I/O DEVICESOh-Chul Kwon, Jusung Kim, Chang-Gun LeeTo be small and easy to carry, mobile devices cannot be equipped with large and highly capable input/output devices. In order to overcome these limitations, this study proposes adaptive I/O switching technique as a general solution for exploiting full features of various external input/output devices in lieu of tiny input/output devices in a smartphone. Unlike existing physical-layer connection based solutions … …Journal of Computer Science, Vol. 10, Issue 7 · 21 Feb 2014 · 6,649 accessesView PDFCite
Research ArticleOpen accessIn the abstractAN APPROACH FOR TEXT SUMMARIZATION USING DEEP LEARNING ALGORITHMG. PadmaPriya, K. DuraiswamyNow days many research is going on for text summarization. Because of increasing information in the internet, these kind of research are gaining more and more attention among the researchers. Extractive text summarization generates a brief summary by extracting proper set of sentences from a document or multiple documents by deep learning. The whole concept is to reduce or minimize … …Journal of Computer Science, Vol. 10, Issue 1 · 7 Nov 2013 · 7,803 accessesView PDFCite
Research ArticleOpen accessIn the abstractStability Analysis of Solar Cell Characteristics Above Room Temperature Using Indium Nitride Based Quantum DotMohd Abdur Rashid, Adawati Yusuf, Md. Abdullah Al Humayun et al.This study represents the improvement of stability of solar cell characteristics above room temperature. We have analyzed theoretically the temperature dependence of three major characteristics of solar cell using Ge and InN based quantum dot in the active layer of the device structure. Among the major characteristics of solar cell we have investigated the rate of change of open circuit … …American Journal of Applied Sciences, Vol. 10, Issue 11 · 9 Sep 2013 · 7,127 accessesView PDFCite