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498 articles for “set data”
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Research ArticleOpen accessIn the abstractImage Super-Resolution using Auto-Encoders with Parallel Skip-ConnectionsLisha Pulickal Purushothaman, Jayasree Vadakke KadangoteSuper-resolutionimages are highly desired when employed for numerous analytical purposes andobviously because of their superior attractive visual effect. To create aHigh-Resolution (HR) image from one or more Low-Resolution (LR) images, animage super-resolution technique is used. When dealing with naturalenvironments and settings, it is not always easy to access high-resolutionimages. The main barriers to the same are limitations in acquisition methods.In … …Journal of Computer Science, Vol. 18, Issue 11 · 11 Nov 2022 · 6,084 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Design of MAC Model Based on the Separation of Duties and Data Coloring: DSDC-MACSoon-Book Lee, Yoo-Hwan Kim, Jin-Woo Kim, Chee-Yang SongAmong the access control methods for database security, there is Mandatory Access Control (MAC) model in which the security level is set to both the subject and the object to enhance the security control. Legacy MAC models have focused only on one thing, either confidentiality or integrity. Thus, it can cause collisions between security policies in supporting confidentiality and integrity … …Journal of Computer Science, Vol. 16, Issue 1 · 19 Jan 2020 · 7,463 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Optimized Machine Learning Approach for Early Prediction of Heart Disease Using Bio-Inspired AlgorithmsIndira Priyadarsini, I.S. Siva Rao, P. Swetha et al.This study presents a novel approach for early prediction of heart disease using bio-inspired optimization algorithms to select and optimize features. The proposed approach utilizes a Genetic Algorithm (GA), Bat Algorithm (BA), Bee Algorithm (BA), and Ant Colony Optimization (ACO) to optimize a set of four features for improved prediction accuracy. The optimization process aims to identify the most relevant … …Journal of Computer Science, Vol. 21, Issue 1 · 4 Dec 2024 · 5,235 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutism Spectrum Disorder Prediction Using Hybrid Deep Learning Model and a Recommendation System Application for Autistic PatientBiplov Paneru, Bishwash Paneru, Krishna Bikram Shah et al.The goal of this study is to create machine learning models that use a big dataset to predict Autism Spectrum Disorder (ASD). To achieve optimal performance, a number of algorithms were employed and refined, including Support Vector Machines (SVM), Random Forest, XGBoost, Multi-Layer Perceptron (MLP) and a hybrid model that combines MLP and SVM. To evaluate the durability of the … …Journal of Computer Science, Vol. 20, Issue 9 · 6 Jul 2024 · 6,226 accessesView PDFCite
Research ArticleOpen accessIn the abstractCattle Breeding Programs and Trait Preferences in EthiopiaMohammed Endris Seid, Kefelegn Kebede Kefenie et al.The success of livestock breeding programs depend on the active involvement of smallholder farmers, pastoralists, and agro-pastoralists in shaping breeding objectives and identifying key trait preferences based on specific production goals. This study aimed at assessing the relative importance of cattle-keeping objectives and trait preferences across mixed crop-livestock, pastoral, and agro-pastoral production systems in Ethiopia. We collected data from 180 … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 2 · 9 Jun 2025 · 4,360 accessesView PDFCite
EditorialOpen accessIn the abstractChasing the Fat Demon: Fat Chance, Buddy?David L. Katz, Joachim Storsberg, Christian SchmidtScience is an interesting profession. At times, one could get caught up in his or her own world of thoughts, perception, far away from reality, sometimes referred to as the proverbial ivory tower (Lederberg, 1972). Science for the sake of science is, per se, not without merit, with our fragmented understanding of a given issue providing ample justification for experimentation … …American Journal of Immunology, Vol. 13, Issue 2 · 29 May 2017 · 8,137 accessesView PDFCite
Research ArticleOpen accessIn the abstractWeather Parameters Impact on Daily COVID-19 Transmission in BangladeshMd. Humayun KabirCOVID-19 disease causes millions of human deaths and huge economic losses throughout the world. To limit the disease transmission numerous attempts have been made. Several studies observed associations of weather values on COVID-19 transmission. In the current study, the impacts of weather parameters on daily COVID-19 incidences have been examined in eight different cities in Bangladesh. For this purpose, a … …American Journal of Environmental Sciences, Vol. 19, Issue 3 · 30 Dec 2023 · 5,411 accessesView PDFCite
Research ArticleOpen accessIn the abstractResearch on the Link Between Economic Development Variables and the Rate of Access to Drinking Water in Rural Senegal Using Machine LearningAnabilaye Moussa Coly, Alioune Ly, Ndolane Diouf et al.After pre-processing a set of data collected from Senegalese state structures, official United Nations (UN), and world bank sites and after replacing missing values by interpolation using the mean between two values, we study the effect of macroeconomic development variables on the rate of access to drinking water in rural Senegal. To do this, we use Machine Learning (ML) techniques … …American Journal of Applied Sciences, Vol. 20, Issue 1 · 20 Dec 2023 · 6,208 accessesView PDFCite
Research ArticleOpen accessIn the abstractKey-Hole Notches in Isostatic Graphite: A Review of Some Recent DataA. Gagani, Relly Victoria V. Petrescu, Florian Ion T. PetrescuFracture of the breakable isostatic graphite is concerned using the experimental and theoretically, the plates containing nicks holes key subject to varying degrees of mixed task. The main purpose of this work is a double one. In the first place, in order to offer a new set of experimental results on fracture of samples of graphite scored, with different values … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 4 · 31 Dec 2016 · 8,017 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,761 accessesView PDFCite