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18 articles for “Mining Industry”
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Review ArticleOpen accessPhrase in the titleA Comprehensive Review on Internet of Things (IoT) and its Implications in the Mining IndustryFatemeh Molaei, Elham Rahimi, Hossein Siavoshi et al.The integration of computer-based technologies interacting with industrial machines or home appliances through an interconnected network, for teleoperation, workflow control, switching to autonomous mode, or collecting data automatically using a variety of sensors, is known as Internet of Things (IoT). When applied inside an industrial context, it is possible to immediately benefit from the analytics obtained, contributing to process optimization, … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 3 · 3 Sep 2020 · 14,156 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImpact of Bulldozer's Engine Load Factor on Fuel Consumption, CO2 Emission and CostVladislav Kecojevic, Dragan KomljenovicProblem statement: Bulldozers consume a large amount of diesel fuel and consequently produce a significant quantity of CO2. Environmental and economic cost issues related to fuel consumption and CO2 emission represent a substantial challenge to the mining industry. Approach: Impact of engine load conditions on fuel consumption and the subsequent CO2 emission and cost was analyzed for Caterpillar bulldozers. Results … …American Journal of Environmental Sciences, Vol. 7, Issue 2 · 26 May 2011 · 9,136 accessesView PDFCite
Research ArticleOpen accessIn the keywordsGenerating Treatment Plan in Medicine: A Data Mining ApproachAhmad Mahir Razali, Shahriyah AliThis study reports on a research effort on generating treatment plan to handle the error and complexity of treatment process for healthcare providers. Focus has been given for outpatient and was based on data collected from various health centers throughout Malaysia. These clinical data were recorded using SOAP (Subjective, Objective, Assessment and Plan) format approach as being practiced in medicine … …American Journal of Applied Sciences, Vol. 6, Issue 2 · 28 Feb 2009 · 7,303 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBeyond Accidents: A Back-Analysis on Conveyor Belt Injury for a Better Design for Maintenance OperationsAlberto Martinetti, Leo A.M. van Dongen, Raffaele RomanoThe conveyor belt represents one of the most commonly used methods of transporting bulk materials today. As highlighted multiple times in research, the moving parts are a critical issue causing accidents and injuries and several of these are strictly related to the opportunity to enter in working zones during maintenance activities, considered high-risk activity due to the nature of the … …American Journal of Applied Sciences, Vol. 14, Issue 1 · 29 Dec 2016 · 8,455 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart Manufacturing in Mining. Adopting Machine Learning to Improve a Copper Milling ProcessFederico Walas Mateo, Andrés Redchuk, Julian Eloy TornilloNowadays industries like mining are focused in the need of improving processes towards net zero emissions and accomplishing with united nations' sustainable development goals. This article presents a case at a copper mine where an artificial intelligence solution is adopted to optimize industrial processes. The paper illustrates the way a software solution using a low code platform framework can democratize … …Journal of Mechatronics and Robotics, Vol. 7, Issue 1 · 15 Apr 2023 · 6,312 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Financial Statement Failure of Listed Firms in Market for Alternative Investment (mai) using Machine LearningPattanapong Kumsin, Salakjit Ninlaphay, Anupong SukprasertThe purpose of this research is to investigate the financial ratios of companies listed on the Market for Alternative Investment (mai) in Thailand, as well as the likelihood of these companies' financial statement failure. It also intends to create a financial statement failure predicting model for companies listed on the mai and assess the performance of various forecasting models using … …Journal of Computer Science, Vol. 21, Issue 9 · 24 Nov 2025 · 2,240 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessing Bi-LSTM Model’s Performance in Identifying AI Generated Text in Digital MediaTinashe Crispen Garidzira, William Tichaona Vambe, Courage MatoboboThe rapid growth of AI-generated content from ChatGPT, Gemini, and many others poses significant challenges in digital media. There are increasing instances of text generated by machine learning models being indistinguishable from human-written text. This calls for an effective way of detecting and distinguishing text generated by AI from human text. Using a Cross-Industry Standard Process for Data Mining (CRISP-DM) … …Journal of Computer Science, Vol. 21, Issue 8 · 8 Oct 2025 · 2,416 accessesView PDFCite
Research ArticleOpen accessIn the abstractMorphological and Structural Reaction of Avena sativa Seedlings to the Effects of Nano and Microparticles of ZincArailym Serikbai, Aidar Aitkulov, Anna Stanco et al.Kazakhstan has a well-developed mining and metallurgical industry, which produces macroand nanoparticles of heavy metals, including zinc emitted to the environment. The nanoscale particles have a different biological activity, which requires some additional research. The effects of various concentrations of zinc macroparticles and nanoparticles on the anatomical structure of oat seedlings (Avena sativa L.) and their accumulation in vegetative organs … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 9 Jul 2024 · 4,406 accessesView PDFCite
Research ArticleOpen accessIn the abstractFramework for the Adaptive Learning of Higher Education Students in Virtual Classes in Peru Using CRISP-DM and Machine LearningMaryori Bautista, Sebastian Alfaro, Lenis WongDuring the COVID-19 pandemic, virtual education played a significant role around the world. In post-pandemic Peru, higher education institutions did not entirely dismiss the online education modality. However, this virtual education system maintains a traditional teaching-learning model, where all students receive the same content material and are expected to learn in the same way; as a result, it has not … …Journal of Computer Science, Vol. 20, Issue 5 · 26 Feb 2024 · 5,885 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Smartphone Addiction in Teenagers: An Integrative Model Incorporating Machine Learning and Big Five Personality TraitsJacobo Osorio, Marko Figueroa, Lenis WongSmartphone addiction has emerged as a growing concern in society, particularly among teenagers, due to its potential negative impact on physical, emotional social well-being. The excessive use of smartphones has consistently shown associations with negative outcomes, highlighting a strong dependence on these devices, which often leads to detrimental effects on mental health, including heightened levels of anxiety, distress, stress depression. … …Journal of Computer Science, Vol. 20, Issue 2 · 29 Dec 2023 · 8,216 accessesView PDFCite