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330 results for “literature data”
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Review ArticleOpen accessIn the abstractMeta-Analysis of Data Collect MethodsIman Tikito, Mohammed El Arass, Nissrine SouissiSeveral organizations from different sectors depend increasingly on knowledge extracted from huge volumes of data generated by different sources, such as IoT, sensors and databases. At the core of data lifecycle, data reliability, analytics, security, scalability and use are important concerns. Coping with these issues in handling data requires understanding the challenges associated with it. Analysis process and storage devices … …Journal of Computer Science, Vol. 15, Issue 8 · 24 Aug 2019 · 7,339 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Data Mining Model for Students’ Choice of College Major Based on Rough Set TheoryLuai Al-ShalabiLiterature is focusing on identifying factors that influence students’ initial choice of major and few have studied students’ involvements after registration in a selected major and this study is one of the few. This study aims to determine the important factors that influence high school students’ choice of major based on data mining techniques. A questionnaire was designed to collect … …Journal of Computer Science, Vol. 15, Issue 8 · 22 Aug 2019 · 7,831 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Wide Scale Classification of Class Imbalance Problem and its Solutions: A Systematic Literature ReviewGillala Rekha, Amit Kumar Tyagi, V. Krishna ReddyIn today’s world, most of the data (real world) is present in imbalanced form by nature. This is because of not having efficient algorithms to put this data (i.e., generated data by billion of internet- connected devices (IoTs)) in respective format. Imbalanced data poses a great challenge to (both) data mining and machine learning algorithms. The imbalanced dataset consists of … …Journal of Computer Science, Vol. 15, Issue 7 · 3 Jul 2019 · 9,379 accessesView PDFCite
Research ArticleOpen accessIn the abstractAgricultural Crop Disease Detection Using Convolutional Neural NetworksAtsu Alagah Komlavi, Harouna Naroua, Chaibou KadriMitigating food insecurity in Niger is of paramount importance. According to some researchers, agricultural yield is declining. The permanent annual food shortage was estimated to be between 25 and 50%. Loss of cereal agricultural production is caused by pests and plant diseases. Knowing that ordinary techniques became inefficient. Automatic detection of plant diseases using artificial intelligence becomes the best solution. … …Journal of Computer Science, Vol. 21, Issue 3 · 24 Jan 2025 · 7,562 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Non-Intrusive Experiment to Examine the Visual Attention Data on Exposure to a Brand Using Eye TrackingSurya Bahadur Thapa, Prasun Gahlot, Komal Suryavanshi et al.The objective of this study is to understand the influence of articulation on sports sponsorship posters of a sporting event. An eye tracking experiment was conducted to examine the visual attention data on exposure to the sponsor’s brand while viewing an advertisement poster. The respondents were asked to fill out a questionnaire based on what they could recall while viewing … …Journal of Computer Science, Vol. 19, Issue 3 · 28 Feb 2023 · 5,914 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Systematic Literature Review on Extraction of Parallel Corpora from Comparable CorporaDilshad Kaur, Satwinder SinghIn today’s Globalized Scenario, the requirement for translation is high and increasing rapidly in the number of fields, but it is difficult to translate everything manually. Machine Translation, which is dependent on corpora availability, is a medium for meeting this high demand for translation. Parallel corpora are used to gain most translation knowledge. But, the number and quality of parallel … …Journal of Computer Science, Vol. 17, Issue 10 · 27 Oct 2021 · 6,700 accessesView PDFCite
Review ArticleOpen accessIn the abstractCOVID 19-How is the Exposure of the Pediatric Population? A Systematic Review ProtocolVitória Monteiro Monte Oliveira, Paulo Francisco de Almeida-Neto, Francisca Dalila Paiva Damasceno de Lima et al.Solid information on exposure and how to treat COVID-19 in pediatric patients is not yet conclusive in the literature, because of this it is necessary to make a critical analysis of the available data in order to provide common points on the theme in question. This systematic review protocol is registered in PROSPERO (ID: CRD42020181835) and aims through searches in … …American Journal of Infectious Diseases, Vol. 17, Issue 2 · 12 Apr 2021 · 6,869 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Fraud Detection Methods in Banking Using Machine Learning TechniquesYoussef Tounsi, Ennouri TaziFraud detection in banking requires algorithms that balance classification performance, computational efficiency, and regulatory interpretability, criteria that are rarely benchmarked together. We present a comprehensive evaluation of nine machine learning approaches (Logistic Regression, Decision Tree, Random Forest, SVM, SGD, XGBoost, CatBoost, LightGBM, and MLP) across three datasets differing in size, imbalance severity, and feature type (synthetic, real-world PCA-anonymized, and large-scale … …Journal of Computer Science, Vol. 22, Issue 6 · 22 Jun 2026 · 1,351 accessesView PDFCite
Research ArticleOpen accessIn the abstractIoT-Based Smart Hydroponic System for Nutrient Management Using Predictive Machine Learning AlgorithmsPalash Gourshettiwar, K. T. V. ReddyHydroponics, an efficient cultivation method, benefits significantly from the precision and adaptability that Machine Learning (ML) algorithms can offer, along with the real-time monitoring facilitated by the devices using the Internet of Things (IoT). This study summarises the latest research and discusses how Machine Learning and the IoT work together, focusing on nutrient optimization, plant development, and resource efficiency. The … …Journal of Computer Science, Vol. 22, Issue 3 · 11 Mar 2026 · 3,056 accessesView PDFCite
Research ArticleOpen accessIn the abstractNormative Data Obtained in Testing the Sense of Hearing in Kangal Shepherd DogsMustafa Koçkaya, Yusuf Özşensoy, Hakan MuratSense of hearing is of crucial importance for dogs to perform their duties. There is no study to determine the reference latency intervals of dogs' sense of hearing. The aim of this study is to identify normative data that can be used as the reference interval for the wave latencies I, III and V at 80 dB with respect to … …American Journal of Animal and Veterinary Sciences, Vol. 14, Issue 3 · 22 Aug 2019 · 7,357 accessesView PDFCite