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63 articles for “Information Gain (IG)”
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Review ArticleOpen accessIn the abstractEvaluating Common Reconnaissance Tools and Techniques for Information GatheringIsaac Odun-Ayo, Emmanuel Owoka, Otavie Okuoyo et al.A reconnaissance attack is a commonly overlooked step in penetration testing but a critical step that could help increase the effectiveness of an attack on a target. However, it is a common attack faced by companies and institutions, among others. It enables the attacker or penetration tester to gain valuable information on the target and select the best tools and … …Journal of Computer Science, Vol. 18, Issue 2 · 16 Mar 2022 · 7,812 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Feature Selection Approach for Semi-Supervised Sentiment Analysis of E-Commerce FeedbackAlok Kumar Jena, Kakita Murali Gopal et al.In this globalized world, people prefer to buy products online without any hesitation. Usually, to acquire the quality of the product or brand, they examine the product’s reviews, which is a tedious job to do manually. The wide use of social media also encourages the users, to keep their views on the product in a global platform. By using machine … …Journal of Computer Science, Vol. 21, Issue 2 · 16 Jan 2025 · 6,185 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeatures of the Security System Development of a Computer Telecommunication NetworkLeonid Chervyakov, Tagirbek Aslanov, Dmitry Polezhaev, Viktor LysenkoGlobal computer networks have enabled ordinary users, companies, organizations and medical institutions to gain virtually unlimited access to data arrays. Therefore, developing systems capable of ensuring the good performance and secure operation of a standard Computer Telecommunication Network (CTN) has become one of the most pressing tasks demanded in the medical industry. Consequently, this study aims to create an ordered … …Journal of Computer Science, Vol. 20, Issue 9 · 20 Jun 2024 · 4,729 accessesView PDFCite
Research ArticleOpen accessIn the abstractPM2.5 Prediction Using Homogenous and Heterogenous Ensemble Learning: A Comprehensive EvaluationShrabani Medhi, Minakshi GogoiAir pollution is a global issue. PM2.5 is considered to be the most dangerous pollutant. Prediction of PM2.5 concentration is important so that effective measures can be taken beforehand. A multitude of machine learning methodologies have been employed in forecasting PM2.5 levels, utilizing diverse combinations of ensemble classifiers and regressors. However, there are three important issues that need to be … …Journal of Computer Science, Vol. 20, Issue 9 · 20 Jun 2024 · 5,186 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart Patient Consent Management Model for Health Information Exchange Based on Blockchain TechnologyK. R. Rohini, P. S. Rajakumar, S. GeethaInnovation for Electronic Medical Records (EMRs) has been hindered by years of excessive regulation and inefficient bureaucracy. As data science and personalization encourage individuals to take an active role in their healthcare and regain control of their own medical records, there is an urgent need for new approaches. The ability to exchange electronic health records is fundamental in contemporary healthcare … …Journal of Computer Science, Vol. 20, Issue 7 · 17 Apr 2024 · 7,351 accessesView PDFCite
Literature ReviewOpen accessIn the abstractOn the Natural Intelligence and Consciousness of the Immune System and its Relationship with the BrainMarco Ruggiero, Akira HiratsukaIn this article, we consider the relationship between the brain and the immune system in the context of the Orchestrated Objective Reduction (Orch OR) theory of consciousness. Orch OR is a theory that postulates that consciousness arises from quantum computations occurring inside microtubules. The immune system is capable of acquiring, learning, and remembering information, thus showing all the attributes of … …American Journal of Immunology, Vol. 19, Issue 1 · 17 Apr 2024 · 11,436 accessesView PDFCite
Research ArticleOpen accessIn the abstractCovid-19 Global Spread Analyzer: An ML-Based AttemptRana Husni Al Mahmoud, Eman Omar, Khaled Taha et al.The novel Coronavirus 2019 (COVID-19) has caused a pandemic disease over 200 countries, influencing billions of humans. In this consequence, it is very much essential to the identify factors that correlate with the spread of this virus. The detection of coronavirus spread factors open up new challenges to the research community. Artificial Intelligence (AI) driven methods can be useful to … …Journal of Computer Science, Vol. 16, Issue 9 · 2 Oct 2020 · 6,930 accessesView PDFCite
Research ArticleOpen accessIn the abstractConventional Beef Cattle Farming Practices in Wolaita and Sidama, Southern EthiopiaAbenezer Wendimu, Wondimagegnehu TekalignBeef cattle farming is an integral part of livelihood for rural and urban smallholder farmers in developing countries. We aimed to describe the cattle farming practices in selected communities of Diguna Fango district, Wolaita Zone, and Sidama Region, Southern Ethiopia. Data were collected with pretested, semi-structured questionnaires applying a cross-sectional study. A stratified sampling was used to select a total … …American Journal of Animal and Veterinary Sciences, Vol. 18, Issue 3 · 2 Aug 2023 · 7,153 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Big Data Football Club Market Value Using K-Means and Linear Regression Mining MethodsJohanes Fernandes Andry, Riama Sibarani, Vlavio Nathanael YeftaFootball clubs store a lot of data about their players, squad, transfer market, and market value, so big data is needed to process this data. This data can be analyzed to gain insight into the club's market value. Changes in player performance, age, and squad size can be analyzed using statistical methods. These digital data will provide information about the … …Journal of Computer Science, Vol. 19, Issue 2 · 10 Feb 2023 · 5,996 accessesView PDFCite
Review ArticleOpen accessIn the abstractNASA’s Exploration Missions to the Red PlanetSantosh KosambeThe exploration missions to the red planet were started in 1960 by the Soviet Union, since then the planet has gain attention of all the scientists and explorers worldwide. Several exploration missions have been launched by the space organizations and nations to explore the Martian surface. NASA launched its first exploration mission to Mars in 1964 in the form of … …Journal of Aircraft and Spacecraft Technology, Vol. 3, Issue 1 · 6 Jul 2019 · 6,973 accessesView PDFCite