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233 articles for “Model Training”
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Research ArticleOpen accessAll words, across the recordQuality of Life of the Elderly ResidentsFereshteh Farzianpour, Shayan Hosseini, Maryam Rostami et al.Problem statement: A preliminary investigation of the Orem self-care training effects on the Quality Of Life (QOL) of the health care centers’ elderly residents in the city of Masjed Solaiman, Iran. Approach: The Orem self-care training was administered to 349 elderly free of chronic disorders (aged 65 and older). The eligible participants were selected from 11 health centers. The training … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 5 Nov 2011 · 8,525 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordArtificial Neural Network Based Model for Forecasting Sugar Cane ProductionO. O. Obe, D. K. ShangodoyinProblem statement: The global need for alternative energy source has necessitated the exploration of vast organic agricultural products with a view of processing them for the production of ethanol in commercial quantity. To ascertain a sustainable production of ethanol from processed sugar cane, a predictive model based on non-linearity nature of its production is imperative. This is due to unavailability … …Journal of Computer Science, Vol. 6, Issue 4 · 30 Apr 2010 · 7,268 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordThe Classification Model of Sandals Dhiif’s Product with Back Propagation and Fourier Descriptors MethodWikaria Gazali, Haryono Soeparno, Ngarap Im ManikClassification is a vital process in every industry. While manual classification is inefficient in terms of cost and time, the computerized techniques offer better and faster solution on this matter. Fourier Descriptors is the mathematical formulas to save objects in functions of Fourier series. While back propagation is an Artificial Neural Network (ANN) method to recognize patterns and images through … …Journal of Computer Science, Vol. 9, Issue 2 · 2 Apr 2013 · 6,370 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordImproved Classification Model using CNN for Detection of Alzheimer’s DiseaseRagavamsi Davuluri, Ragupathy RengaswamyAlzheimer’s Disease (AD) is commonly called a neurodegenerative disorder and it is a common form of dementia. There is no permanent cure for this brain disease hence the early diagnosis of such disease using medical imaging system is highly significant. Machine learning models play a vital role in the detection of AD. Since most of the conventional machine learning models … …Journal of Computer Science, Vol. 18, Issue 5 · 30 May 2022 · 6,252 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Comparison between Conditional Random Field and Structured Support Vector Machine for Arabic Named Entity RecognitionMarwa Muhammad, Muhammad Rohaim, Alaa Hamouda, Salah Abdel-MageidThe Named Entity Recognition (NER) is an integrated task in many NLP applications such as machine translation, Information extraction and question answering. Arabic is one of the authorised spoken languages in the united nation. Currently, there is much Arabic information on the internet, so, nowadays the need for tools which process this information becomes significant. In this study, we have … …Journal of Computer Science, Vol. 16, Issue 1 · 30 Jan 2020 · 8,113 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPerformance Evaluation of an Assisting Device for Training "Normal-Like" Sit To Stand MovementPierluigi Rea, Erika Ottaviano, Gianni CastelliThis paper presents a performance evaluation and results on the modelling and simulation of an assisting device to be used as aiding or guiding system for people with reduced mobility. There is a high level of motivation for elderly to perform independently basic Activities of Daily Life (ADL). Therefore, it is of great interest to design and implement reliable assisting … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 3 · 26 Jul 2017 · 7,694 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPatient Safety in Inpatient Wards: Sample of a University HospitalFereshteh Farzianpour, Abbas Rahimi Fouroshani, Kiyana Ragi Dargaha, Seyed Shahab HosseiniThe aim of this study was to evaluate the patient safety in inpatient wards of an educational hospital affiliated with Tehran University of Medical Sciences from the viewpoint of nursing staff using the six sigma methodology. This was a cross-sectional descriptive analytical study, carried out in an educational hospital affiliated with Tehran University of Medical Sciences in 2010. The study … …American Journal of Applied Sciences, Vol. 9, Issue 12 · 29 Dec 2012 · 8,153 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDesign of Tree Structure in Context Clustering Process of Hidden Markov Model-Based Thai Speech SynthesisSuphattharachai ChomphanProblem statement: In HMM-based Thai speech synthesis, the tone degradation due to the imbalance of training data of all tones. Some distortion of syllable duration is obviously noticeable when the system is trained with a small amount of data. These problems cause the decrement in naturalness and intelligibility of the synthesized speech. Approach: This study proposes an approach to improve … …American Journal of Applied Sciences, Vol. 9, Issue 3 · 14 Jan 2012 · 6,955 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Comparative Study in Classification Techniques for Unsupervised Record Linkage ModelMohammadreza Ektefa, Fatimah Sidi, Hamidah Ibrahim et al.Problem statement: Record linkage is a technique which is used to detect and match duplicate records which are generated in data integration process. A variety of record linkage algorithms with different steps have been developed in order to detect such duplicate records. To find out whether two records are duplicate or not, supervised and unsupervised classification techniques are utilized in … …Journal of Computer Science, Vol. 7, Issue 3 · 7 Mar 2011 · 8,199 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordLearning Content Recommendation for Visual Basic.Net Programming Language based on OntologySaman Shishehchi, Seyed Yashar Banihashem, Nor Azan Mat Zin, Shahrul Azman Mohd NoahNowadays, the quality of learning and the expansion of education technology, motivate the researchers to work on learning area more than before. Problem statement: With the rapid advance of learning contents on the web and also the variety of learning books, finding suitable ones has become a very difficult and complicated task for learners. Approach: This study aims to propose … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,478 accessesView PDFCite