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645 results for “learning model”
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Research ArticleOpen accessIn the keywordsBangla↔English Machine Translation Using Attention-based Multi-Headed Transformer ModelArgha Chandra Dhar, Arna Roy, M. A. H. Akhand et al.Machine Translation (MT) refers to translate texts or documents from the source language into the target language without human intervention. Any MT model is language-dependent and its development requires grammar, phrase rules, vocabulary, or relevant data for the particular language pair. Hitherto, little research on MT for Bangla-English is reported in the literature, although Bangla is a major language. This … …Journal of Computer Science, Vol. 17, Issue 10 · 10 Nov 2021 · 8,469 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Backward Regressed Capsule Neural Network for Plant Leaf Disease DetectionJennifer Jepkoech, Benson Kipkemboi Kenduiywo, David Muchangi Mugo, Edna Chebet ToolThis study investigated the introduction ofbackward regression coupled with DenseNet features in a Capsule Neural Network(CapsNet) for plant leaf disease classification. Plant diseases are consideredone of the main factors influencing food production and therefore fast cropdisease detection and recognition are important in enhancing food securityinterventions. CapsNets have successfully been adopted for plant leaf diseaseclassification however, backpropagation of signals to preceding … …Journal of Computer Science, Vol. 18, Issue 9 · 8 Sep 2022 · 5,718 accessesView PDFCite
Research ArticleOpen accessIn the keywordsApplications of Machine Learning in Building Energy Prediction and SavingsPriyan Rai, Dr. Nabil Nassif, Kevin Eaton, Alexander RodriguesIn a constantly advancing world with growing needs, buildings play in important role in the daily functioning of the society. Developing more and more advanced techniques to optimize the working of these buildings is highly important for a constant growth. Modern computational techniques have opened doors to create advanced models that can utilize efficient techniques to produce highly accurate results. … …Energy Research Journal, Vol. 10, Issue 1 · 15 Mar 2019 · 8,038 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEvaluation of Classification Models for Predicting Mortality Rate Using Thyroid Cancer DataNorah Saleh AlghamdiMachine Learning (ML) can potentially enhance predictions in real-life domains. This study presents an evaluation and comparison of different ML methods which can be applied on thyroid cancer dataset, called Prostate, Lung, Colorectal and Ovarian (PLCO), of approximately 155,000 participants with thyroid cancer occurrence and mortality incidence. The ML models are explored for predicting mortality rates of patients with thyroid … …Journal of Computer Science, Vol. 15, Issue 1 · 21 Jan 2019 · 7,788 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Exploratory Analysis to Assess Computer Literacy and E-learning Among Students: A Case of Eastern Province of Kingdom of Saudi ArabiaManal Elobaid, Rafida M. ElobaidThe current study investigated the use of ICT within the schools and higher education sectors in the eastern province of kingdom of Saudi Arabia. The objective is to evaluate how computer literacy and the implementation of e-learning could contribute to the learning and teaching process within the education sector in this area. A cross sectional survey was carried out among … …Journal of Computer Science, Vol. 13, Issue 9 · 23 Aug 2017 · 8,196 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTHE NAME PATHWAY, AN ELEMENTARY COGNITIVE MODEL OF NAMES AS SENSORY REPRESENTATIONSS. Balachandra DassNames function as sensory representations, but the relationship between names and sensory stimuli/responses remains unclear. This study proposes the existence of a class of stimulus-response pathways, the name pathway, where a name is a reproducible and communicable symbol and the name pathway is one where the same name is both the stimulus and the response. Once a stimulus-response &#34name&#34 pathway … …Neuroscience International, Vol. 5, Issue 1 · 3 Apr 2014 · 7,250 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSOFTWARE PROCESS MATURITY AND CAPABILITY EVALUATION AND ITS IMPLEMENTATION IN THE AREAS OF E-LEARNING ORGANIZATIONSSenthilkumar Chennakrishnan, Midthe Vijayaraghavan SrinathA detailed literature review revealed that, most of the organizations develop their projects and associated software engineering activities using in-house established methods. There are discrete references in the literature on application of broad based scientific methods in designing and developing process capability and maturity models by software organizations. Documentation and extent of adherence to a well defined organized scientific method … …Journal of Computer Science, Vol. 10, Issue 4 · 21 Dec 2013 · 6,830 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSTRATEGY PATTERNS PREDICTION MODELAram Baruch Gonzalez Perez, Jorge Adolfo Ramirez UrestiMulti-agent systems are broadly known for being able to simulate real-life situations which require the interaction and cooperation of individuals. Opponent modeling can be used along with multi-agent systems to model complex situations such as competitions like soccer games. In this study, a model for predicting opponent moves based on their target is presented. The model is composed by an … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 6,854 accessesView PDFCite
Research ArticleOpen accessIn the keywordsParticle Swarm and Neural Network Approach for Fault Clearing of Multilevel InvertersR. M.S. Parvathi, M. SivakumarThis study presents a machine learning technique for fault diagnostics in induction motor drives. A normal model and an extensive range of faulted models for the inverter-motor combination were developed and implemented using a generic commercial simulation tool to generate voltages and current signals at a broad range of operating points selected by a Particle Swarm Optimization (PSO) based machine … …American Journal of Applied Sciences, Vol. 10, Issue 6 · 8 Jun 2013 · 6,486 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Framework for Design of Intelligent Simulation EnvironmentAli Azadeh, Farid GhaderiThis study describes a framework for design and development of intelligent simulation environment. The intelligent simulation environment prescribes an integrated rule-based approach to simulate and optimize a manufacturing system. An intelligent simulation model is a computer program capable of improving its performance by referring to production constraints, system's limitations and desired targets. It is a goal oriented, flexible and integrated … …Journal of Computer Science, Vol. 2, Issue 4 · 30 Apr 2006 · 6,702 accessesView PDFCite