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126 articles for “Preprocessing”
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Research ArticleOpen accessEvery word in the titleAn Adaptive Data Preprocessing Framework for Improved Learning: A Case Study of Tangier Container TerminalMostafa Al Uahabi, Hicham Attariuas, Mohammed Saleh, Mohamed ChentoufContainer terminals are critical nodes within the maritime transportation system that have a vital function in global merchandise trade, handling a significant volume of cargo through the use of various equipment and personnel. Thus, the efficiency of container terminal operations relies heavily on the ability to collect, analyze, and utilize operational data. However, such data can be corrupted by noise, … …Journal of Computer Science, Vol. 20, Issue 3 · 25 Jan 2024 · 5,593 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleNovel Preprocessing Technique in the Computer Aided Detection of Breast CancerSenthilkumar Balasubramaniam, Umamaheswari GovindaswamyAnalyzing medical images is the most challenging task in medical image processing. Computer Aided Detection (CAD) tool is the aid for the radiologists in analyzing such images for the effective detection and diagnosis of the disease. Such a CAD tool consists of Preprocessing, Segmentation and detection processes. In this study we have improved the preprocessing by using the Selective Median … …Journal of Computer Science, Vol. 8, Issue 12 · 8 Nov 2012 · 6,651 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAdvanced Facial Emotion Recognition Using DCNN-ELM: A Comprehensive Approach to Preprocessing, Feature Extraction and Performance EvaluationBoopalan K., Satyajee Srivastava, K. Kavitha et al.As a subfield of affective computing, Facial Emotion Recognition (FER) teaches computers to read people's facial expressions to determine their emotional state. Because facial expressions convey 55% of an individual's emotional and mental state in the whole range of face-to-face communication, Facial Emotion Recognition is crucial for connecting humans and computers. Improvements in the way computer systems (robotic systems) interact … …Journal of Computer Science, Vol. 21, Issue 1 · 30 Nov 2024 · 5,907 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMining Sports Articles using Cuckoo Search and Tabu Search with SMOTE Preprocessing TechniqueWaheeda AlmayyanSentiment analysis is one of the most popular domains for natural language text classification, crucial for improving information extraction. However, massive data availability is one of the biggest problems for opinion mining due to accuracy considerations. Selecting high discriminative features from an opinion mining database is still an ongoing research topic. This study presents a two-stage heuristic feature selection method … …Journal of Computer Science, Vol. 17, Issue 3 · 12 Mar 2021 · 6,538 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleData Mining: A Preprocessing EngineLuai A. Shalabi, Zyad Shaaban, Basel KasasbehThis study is emphasized on different types of normalization. Each of which was tested against the ID3 methodology using the HSV data set. Number of leaf nodes, accuracy and tree growing time are three factors that were taken into account. Comparisons between different learning methods were accomplished as they were applied to each normalization method. A new matrix was designed … …Journal of Computer Science, Vol. 2, Issue 9 · 30 Sep 2006 · 34,446 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPerson Re-Identification From Video Surveillance Systems Using Artificial Intelligence MethodsRevathi Lavanya Baggam, Vatsavayi Valli KumariThe study explores use of deep learning models in person re identification, leveraging the advancements made in face recognition however the abundance of model choices presents a challenge in selecting the optimal architecture. The study proposes a comprehensive framework for evaluating deep learning models on person re-identification tasks by considering various performance metrics, dataset preprocessing methods, model architectures, and evaluation … …Journal of Computer Science, Vol. 21, Issue 8 · 19 Sep 2025 · 4,846 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Convolutional Neural Network Approach for Skin Lesion Classification Using Imbalanced Dataset with Image AugmentationZhyar Yassin Abdalla, Nor Hazlyna Harun, Mohammed Shihab AhmedA significant threat to people's health all over the world is skin cancer. The purpose of this research is to improve the detection of skin cancer by utilizing a CNN classification model that makes use of preprocessing and augmentation techniques. The HAM10000 dataset is used, and the imbalance it contains is addressed by resizing the images to 120×120 pixels and … …Journal of Computer Science, Vol. 20, Issue 11 · 10 Sep 2024 · 5,436 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Successive Admissible Cell Method for Solving Large Scale Linear Assignment Problem with Dense Cost MatrixWarut Boonphakdee, Peerayuth CharnsethikulNormally, the Linear Assignment Problem (LAP) has been solved by successful algorithms such as Lapjv and Munkres programmed as MATLAB codes. This study presented an improved algorithm for solving large scale LAP. A preprocessing (PP) algorithm was proposed to apply for constructing the kth transferred reduced cost matrix then this matrix was solved by Lapjvalgorithm. Performances of PP-Lapjvalgorithm were faster … …Journal of Computer Science, Vol. 12, Issue 8 · 16 Nov 2016 · 6,951 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAN INTELLIGENT RECOGNITION SYSTEM FOR IDENTIFICATION OF WOOD SPECIESS. Mohan, K. Venkatachalapathy, P. SudhakarThe recognition of wood species is needed is many areas like construction industry, furniture manufacturing, etc.,. The wood is traditionally classified by human experts. But human identification of wood type is not accurate and the manual identification is a time consuming process. So in this study, an intelligent recognition for identification of wood species was developed. This study uses image … …Journal of Computer Science, Vol. 10, Issue 7 · 19 Feb 2014 · 7,812 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptimization Techniques To Record DeduplicationDeepa Karunakaran, Rangarajan RangaswamyDuplicate record detection is important for data preprocessing and cleaning. Artificial Bee Colony (ABC) is one of the most recently introduced algorithms based on the intelligent foraging behavior of a honey bee swarm. Our approach to duplicate detection is the use of ABC algorithm for generating the optimal similarity measure to decide whether the data is duplicate or not. In … …Journal of Computer Science, Vol. 8, Issue 9 · 11 Aug 2012 · 7,744 accessesView PDFCite