28 articles for “precise class”

Set a search alert

Research ArticleOpen accessIn the abstractIrrigated and Non-Irrigated Wheat Classification Based on Cultivation Calendar by IHS AlgorithmAshourloo Davood, Matkan Ali Akbar, Aghighi Hossain et al.In order to extract the wheat the bi-temporal Spot images were ordered based on cultivation calendar of wheat and other crops. As the crops reflection properties showed many variations, for precise classification many signatures are needed. Appropriate bands for classification were selected by divergence algorithm. These bands converted to IHS and for recognizing the reflection changes in the cultivated areas, … …American Journal of Agricultural and Biological Sciences, Vol. 3, Issue 3 · 30 Sep 2008 · 7,219 accessesView PDF Cite

Research ArticleOpen accessIn the abstractOn Discrete Least Squares Polynomial Fit, Linear Spaces and Data ClassificationFrançois Dubeau, Youness MirThe best discrete least squares polynomial fit to a data set is revisited. We point out some properties related to the best polynomial and precise the dimension of vector spaces encountered to solve the problem. Finally, we suggest a basic classification of data sets based on their increasing or decreasing trend, and on their convexity or concavity form. …Journal of Mathematics and Statistics, Vol. 3, Issue 4 · 31 Dec 2007 · 6,865 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordIoT-Integrated CNN Deep Learning for Automated Breast Cancer Detection and DiagnosisYamini Kalva, R. Ganesh Babu, Sindhu V. et al.Breast cancer continues to be a primary cause of death in women, requiring prompt and accurate diagnosis to enhance treatment results. Traditional diagnostic techniques depend on manual assessment, which leads to possible misclassification, significant inter-observer variability, and delays in decision-making. Current deep learning models, including CNNs, frequently experience feature loss, gradient declining and restricted adaptability to real-time data. To overcome … …Journal of Computer Science, Vol. 22, Issue 4 · 30 Mar 2026 · 1,753 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordAuto Weight Dilated Convolutional Ensemble Network for the Severity Analysis of Lung Cancer in CT ImagesL. Sandhya, K. MarimuthuLung cancer is one of the world's leading causes of morbidity and mortality; improving patient outcomes requires an early and precise diagnosis. Lesion and tumor segmentation remains a challenging task in CT images due to their inherent imaging limitations, such as the small size of nodules, heterogeneous textures, blurry boundaries, and adjacent structures, leading to misclassification and difficulty in delineating … …Journal of Computer Science, Vol. 22, Issue 1 · 9 Feb 2026 · 1,541 accessesView PDF Cite

Review ArticleOpen accessAll words, across the recordMachine Learning Integration for Precise Facial Micro-Expression RecognitionViola Bakiasi Shtino, Markela Muça, Senada BushatiThis study advances facial micro-expression recognition through innovative machine-learning techniques, addressing critical needs in psychology, security, and human-computer interaction. The purpose of this study is to improve micro-expression recognition through the optimization of feature transformation and machine learning algorithms. We introduce a novel approach combining Kernel Principal Component Analysis (KPCA) and Uniform Manifold Approximation and Projection (UMAP) for dimensionality reduction, … …Journal of Computer Science, Vol. 20, Issue 11 · 22 Oct 2024 · 5,592 accessesView PDF Cite

Review ArticleOpen accessAll words, across the recordComparative Study of Visual Odometry Performance Based on Road ClassificationsDayang Nur Salmi Dharmiza, Awang Salleh, Kuryati KipliAccuracyand robustness are among the main concerns in vehicle positioning systems andautonomous applications. These concerns are crucial in GNSS-deniedenvironments; thus, we need an alternative technology to overcome this problem.In recent years, vision-based localization known as visual odometry has gainedconsiderable attention among researchers. Visual odometry is a vision-basedpose estimation and it has been developed for mobile object localization suchas robots and … …Journal of Computer Science, Vol. 18, Issue 11 · 26 Oct 2022 · 5,899 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordDynamic Synthesis of a Dual-Clutch Automatic GearboxesRelly Victoria Virgil Petrescu, Raffaella Aversa, Antonio Apicella, Florian Ion Tiberiu PetrescuRelatively recent have occurred dual-clutch automated boxes, which promise a lot in the field and can be used successfully in cars and trains as well as in the aerospace industry. This paper wants not only to present such a gearbox but also to realize its dynamic synthesis, based on the engineering optimization of the mechanical efficiency achieved in each used … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 8 May 2018 · 7,947 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordA Novel Approach to Classify Noises in Images Using Artificial Neural NetworkT. Santhanam, S. RadhikaProblem statement: Noise identification is predominant in any digital image processing algorithms, which helps in identifying the filters to smooth the image for further processing. Approach: An Artificial Neural Network (ANN) based approach was proposed for noise identification. The suggested technique involved seclusion of the noise samples and extracts their statistical features, which was then applied to a neural network … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 7,190 accessesView PDF Cite