Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

811 results for “Transform”
Set a search alert
Research ArticleOpen accessEvery word in the titleAnomaly Detection Based on Vision Transformer Model and Texture FeaturesMohammed Lahraichi, Abdelhafid Berroukham, Khalid HousniAnomaly detection is one of the video surveillance applications,which aims to detect and analyze abnormal behaviors and risky situations inorder to prevent accidents. Various deep learning models have beenpreviously developed for this purpose, such as CNN, RNN, and VisionTransformer, each one has its strengths and weaknesses based on the qualityof input data. This paper proposes a novel approach based on … …Journal of Computer Science, Vol. 21, Issue 7 · 10 Jul 2025 · 3,689 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTransforming Retinal Diagnostics: Advanced Detection of Diabetic Retinopathy Using Vision Transformers and Capsule NetworksVishal Sharma, Rishu, Vinay Kukreja et al.Diabetic Retinopathy (DR), nowadays is one of the leading causes of blindness worldwide, it is a severe complication of diabetes mellitus that affects the retina blood vessels. Accurate diagnosis depends on early detection of DR. The study aims to develop a hybrid model that is the combination of a Vision Transformer and Capsule Network (ViT-CapsNet) to classify the DR at … …Journal of Computer Science, Vol. 21, Issue 2 · 14 Jan 2025 · 6,765 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEvaluating the Usability of Model Transformations Testing Approach (MTTA)Lukman Ab. Rahim, Ziyaulhaq Aliyu, Emy E. MustaphaModel Transformation (MT) is a key component in Model Driven Development (MDD). Model transformation is used to transform source model into a target model, improve the model quality and also introduce the design pattern and refactoring. Model transformation are not free from bugs similar to other software development artifacts and it needs to be verified. Code Generators (CG) are a … …Journal of Computer Science, Vol. 13, Issue 1 · 6 Mar 2017 · 7,680 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEthioLSocMDMTLM: Exploring Application of Topic Modeling for Building Ethiopian Language Social Media Data-Based Multilingual Transformer Language Models for Multilingual Hateful Content DetectionNaol Bakala Defersha, Kula Kekeba Tune, Solomon Teferra AbateThis study proposes topic modeling techniques to develop Ethiopian Language Social Media Data Based Multilingual Transformer Language Models for multilingual hateful content detection. We modified various multilingual pretrained models, investigated the challenges of using pre-trained transformer language models, and built multilingual hateful content detection models. Topic words with rows of 1561, 70, and 1044 extracted from Afaan Oromo, Tigrigna, and … …Journal of Computer Science, Vol. 21, Issue 2 · 31 Dec 2024 · 5,217 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleLeveraging Transformer Model for Data-Driven Requirement Engineering: A Case Study of NLP4RE E-Commerce Business Apps in Malaysia and IndonesiaDevi Yurisca Bernanda, Dayang Norhayati Abang Jawawi, Shahliza Abd Halim et al.Data-Driven Requirement Engineering (DDRE) marks a departure from conventional methods, embracing dynamic, user-centric strategies with the help of machine learning and artificial intelligence. As software systems grow more intricate and demand adaptability, a continuous software engineering approach becomes crucial. However, this shift poses challenges in handling data inconsistencies during the elicitation process, leading to software development shortcomings. This study tackles … …Journal of Computer Science, Vol. 20, Issue 11 · 2 Oct 2024 · 5,139 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTransformation Box-Cox for Stabilisation of Diversity in Group Random DesignYenny Sylvia, Djunaidy SantosoIn the field of research, there are a variety of statistical methods used. Hypothesis testing is one test that is often used to obtain the conclusions of the research conducted. One hypothesis testing that is often used is the testing of hypotheses through ANOVA (Box et al., 1978). However, in determining the validity of a hypothesis is obtained, there are … …Journal of Computer Science, Vol. 11, Issue 1 · 22 Sep 2014 · 7,179 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFAULT DETECTION IN SWITCHED RELUCTANCE MOTOR DRIVES USING DISCRETE WAVELET TRANSFORM AND K-MEANS CLUSTERINGV. S. Chandrika, A. Ebenezer JeyakumarThis study presents a novel method of detection of inter turn shorts based on k means clustering technique. In addition to inter turn short detection, the other faults like open, short, phase to phase faults and DC volt-age faults are detected through wavelet transforms and k means clustering. Open and short faults are classified using artificial neural network. All other … …American Journal of Applied Sciences, Vol. 11, Issue 3 · 30 Dec 2013 · 7,990 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTransformation of Lesquerella Fendleri with the New Binary Vector pGPro4-35SGrace Q. Chen, Roger Thilmony, Jiann-Tsyh LinProblem statement: Crop genetic engineering requires the use of various promoters to control the expression of introduced transgenes. Some of the binary vectors currently available for promoter characterization in dicotyledonous plants have pitfalls due to their construction, such as containing a selectable marker cassette with enhancer sequences that can potentially interfere with the expression specificity of nearby promoters. Also, many … …OnLine Journal of Biological Sciences, Vol. 11, Issue 3 · 19 Jan 2012 · 7,428 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImproving the Performance of Multivariate Bernoulli Model based Documents Clustering Algorithms using Transformation TechniquesPerumal Pitchandi, Nedunchezhian RajuProblem statement: Document clustering is the most important areas of data mining since they are very much and currently the subject of significant global research since such areas strengthen the enterprises of web intelligence, web mining, web search engine design and so forth. Generative models based on the multivariate Bernoulli and multinomial distributions have been widely used for text classification. … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,284 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRetrieval of Similar Shapes Under Affine Transform Using Affine Length ParameterizationA. Lakehal, O. El Beqqali, O. Ait ZemzamiProblem statement: In this study, a new descriptor for shape retrieval under affine transformations had been proposed; the affine length parameterization was used in this approach. Approach: The zero crossing of affine curvature was used to extract a descriptor of shapes in database. For each two successive zero crossing points we extract two parameters: the first parameter was a maximal … …Journal of Computer Science, Vol. 6, Issue 10 · 30 Aug 2010 · 7,260 accessesView PDFCite