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749 articles for “mines”
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Automated Intelligence, Machine Learning, and Big Data in Education: A Practical Framework, Synthetic Demonstration, and Deployment Guidance
Abstract: Artificial intelligence (AI), machine learning (ML), and big-data methods are increasingly used to improve educational decision making through personalization, early-warning systems, scalable feedback, and operational analytics. This manuscript proposes a practical end-to-end framework for educational AI/ML projects, covering problem definition, data engineering, modeling, evaluation, intervention design, and responsible governance. To provide a complete and reproducible template without exposing sensitive student data, we present a synthetic demonstration study that mirrors typical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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A Comprehensive Study of Natural Language Processing Systems Using Modern Programming Languages: Techniques, Architectures, Experimental Evaluation and Applications
Abstract: Natural language processing is a key field of study within artificial intelligence that focuses on enabling machines to understand and work with human language. This is because there is much digital text data everywhere. Natural Language Processing is what this study is about. It looks at new ways of doing Natural Language Processing. The old ways are like machine learning, and the new ways are like learning. This study compares …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 12–23 Read article
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Polymeric Emulsion Composite System Enriched with Eggshell-Derived Biominerals for Dermal Delivery
Abstract: This study describes the development and characterization of a sustainable polymeric water-in-oil (W/O) emulsion composite designed for dermal delivery and skin repair applications. The formulation was prepared using a lipid-rich biopolymeric matrix containing glyceryl stearate, beeswax, and plant-derived ingredients, which acted as the continuous phase for stabilizing and dispersing inorganic mineral fillers. Eggshell waste was utilized as a natural calcium source and combined with magnesium and zinc oxide to create …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Analyzing and Predicting Academic Behavior from Peer Pressure Indicators Using Machine Learning
Abstract: The academic achievement of a student is determined by their capability, but also by the companions with whom they associate. Friends can have a positive impact on students' motivation for school, and at times friends are distractions leading to a lack of attention on their school assignments. This particular study focuses on the number and quality of companions students associate with and to what extent that could be used as …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 1–7 Read article
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Optimized Sentiment Analysis Through TextBlob and Hybrid RNN Models
Abstract: In today’s world, analyzing people’s feelings from what they write online has become very important. This is because there is a large amount of content created by users. To make this analysis accurate and fast, we present a method. This method uses a mix of two approaches: one that looks up words in a dictionary and another that uses computer learning. TextBlob is an affordable tool for getting an initial …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 29–28 Read article
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Predicting Student Placement Readiness: A Machine Learning Approach Using Coding Activities and Multi-Dimensional Performance Indicators
Abstract: In the modern information-driven academic world, identifying student employability and placement preparedness has predicted. be made a part and parcel of academic planning and career. development. This study provides a machine learning-based. structure to evaluate and forecast student placement pre-paredness by combining various performance aspects-academic achieve- ment, coding activity, aptitude and behavioral engage-ment metrics. Multi-source was gathered and preprocessed in the study. student information, such as student records (CGPA, attendance), …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 Read article
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Recovery of Iron Values from Iron Ore Slimes using Reagents
Abstract: Mining wastes include waste generated during the extraction, beneficiation or processing of minerals like iron ore fines, slimes and tailings. Approximately 10–20% of the raw material is discarded as slimes in to slime ponds/tailing dams. Recovery of iron values from slimes result in economic benefit by utilization of waste as a resource and minimizes the threat to the environment. The iron ore slime is generally considered as waste due to …
Published in Journal of Materials & Metallurgical Engineering · Vol. 6, Issue 3, 2016 · pp. 32–43 Read article
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Investigation of Local Weighting Materials as a Substitute To Barite In Drilling Mud Formulation
Abstract: Weighting materials are important components needed to increase the density of drilling mud in order to provide enough hydrostatic pressure to balance abnormalpore pressures. In Nigeria, millions of dollars are spent annually in importing barite to serve this purpose. However, there exists large reserves of weighting materials such as barite, hematite, dolomite, calcite, ilmenite in Nigeria hence the need to investigate the suitability of these materials as substitute for imported …
Published in Journal of Materials & Metallurgical Engineering · Vol. 10, Issue 1, 2020 · pp. 39–48 Read article
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Extent of Beneficiation of Tsopoli and Akuse Clay Deposits as Drilling Fluids Materials
Abstract: The need to source for a local material for the design of drilling fluid has necessitated the study of two smectite clay reserve deposits which are abundant in Ghana and have been the subject of study for many years for other engineering disciplines. A study of their degree and extent of beneficiation quantities has been carried out using standard rheological and filtration test as well as governing protocols while at …
Published in Journal of Petroleum Engineering & Technology · Vol. 10, Issue 2, 2020 · pp. 15–37 Read article
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Optimizing Hive Performance on Analyzing Log Data with Hadoop
Abstract: Web servers automatically created or maintained the log files to observe the user behaviour. So, we can get the valuable information through analyzing these server log files. Log files collect a variety of data about information requests to your web server. Server logs act as a visitor sign-in sheet. Server log files can give information about what pages get the most and the least traffic? What sites refer visitors to …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 3, 2018 · pp. 45–52 Read article
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Oral Health wsr to Dental Fluorosis:A Review.
Abstract: Dental fluorosis occurs due to the hypomineralization of tooth enamel. This can lead to discoloration of the teeth. Mild and very mild fluorosis can cause teeth to look whiter, and therefore, it can improve esthetic perceptions of teeth, thereby leading to better OHRQoL(Oral Health related quality of Life). On the other hand, moderate and severe fluorosis can cause more noticeable tooth discoloration and in some cases even loss of function, …
Published in Research and Reviews: A Journal of Dentistry · Vol. 13, Issue 1, 2022 · pp. 14–17 Read article
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Is Bottled Water Better than Tap Water?
Abstract: Objective: There has been a persistent rise in bottled water consumption over the last two decades. Little is known about the health benefits of bottled water. The purpose of this study was to improve understanding of the public's health believes concerning bottled mineral water, and to know whether these believes influence water consumption habits. Method: Extensive review of literature was done to compare bottled water and tap water and also …
Published in Research and Reviews: A Journal of Toxicology · Vol. 10, Issue 1, 2020 · pp. 30–33 Read article
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Transforming Healthcare Through Big Data: Applications, Challenges, and Future Perspectives
Abstract: Healthcare institutions produce substantial amounts of information through electronic health records, laboratory systems, medical imaging technologies, patient monitoring devices, and various digital healthcare platforms. Managing and interpreting these continuously growing datasets through conventional approaches can be difficult and time-consuming. Big Data technologies offer advanced methods for storing, processing, and analyzing healthcare information efficiently, enabling healthcare professionals to obtain valuable insights for clinical and administrative purposes. This review explores the growing …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 2, 2026 · pp. 1–9 Read article
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The Influence of Artificial Intelligence on Literary Criticism
Abstract: Artificial Intelligence (AI) has emerged as a significant force in reshaping contemporary literary criticism. Traditionally, the interpretation of literature has relied primarily on human-centered methods such as close reading, contextual analysis, and theoretical framing. However, the integration of AI-based techniques including Natural Language Processing (NLP), Machine Learning (ML), stylometry, and sentiment analysis has introduced new possibilities for examining literary texts at both micro and macro levels. These computational approaches allow …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 2, 2026 · pp. 22–29 Read article
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A Survey on Multiobjective Decision Making on Vague Sets
Abstract: This paper provides report of a survey on the vague sets and also multiobjective decision making. As a further fuzzy set theory generalization, the vague set theory can overcome the fuzzy set shortcomings through defining the membership from two different sides of both FALSE and TRUE, rather than only through a value of a single membership. MCDM approach has evolved to accommodate numerous application types. Methods dozens have been developed, …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 1, 2016 · pp. 1–8 Read article
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Effective Implementation of Apriori Algorithm to Develop a Suggestion System Based on Sales History Using Hadoop Environment
Abstract: AbstractThe need for comprehensive support system to analyze and predict the nature of the dynamic market based on the previous records is very vital in competent industries today. The data mining is a process of extracting implicit, previously unknown and potentially useful information from data. Mining is search for relationships and global patterns that exist in the large databases but that are hidden among vast amount of data. Since the …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 3, 2016 · pp. 8–16 Read article
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A Study on the Potential of E-Commerce in Agriculture Domain in Uttarakhand
Abstract: The study undertakes a review of basic and contemporary literature available and tries to explain e-commerce potential in agribusiness. This paper explains that e-commerce can be proved as a game changer, particularly in agriculture domain. It also gives emphasis on how e-commerce acts as a way forward for monetization of farmer’s produce. Shaking hands with geoinformatics, data mining and web mining provides thrust to agribusiness market intelligence.Keywords: Agribusiness, e-commerce, geoinformatics, …
Published in E-Commerce for Future & Trends · Vol. 6, Issue 1, 2019 · pp. 47–51 Read article
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Intrusion Detection Systems: A Review
Abstract: In this paper, we present an overview of existing intrusion detection techniques. All these algorithms are described more or less on their own. Intrusion detection system is a very popular and computationally expensive task. We also explain the fundamentals of intrusion detection system. We describe today’s approaches for intrusion detection system. From the broad variety of efficient techniques that have been developed we will compare the most important ones. We …
Published in Journal of Advances in Shell Programming · Vol. 2, Issue 1, 2015 · pp. 11–13 Read article
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Analysis of Various Diabetes Prediction Techniques Based on Machine Learning
Abstract: AbstractData mining is a method of mine from the underdone data for maintains useful information. In organize to obtain fundamental knowledge it is important to remove bulky quantity of data. This method is consist of many important components like data cleaning, data selection, data integrity, pattern evaluation with data mining engine and database with graphical user interface. Diabetes is a chronic disease that is also known as Non‐Insulin Dependent Diabetes …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 1, 2021 · pp. 17–22 Read article
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Prediction of Likelihood of Contraceptive Method among Women using Machine Learning Techniques
Abstract: This paper presents the various machine learning techniques and early fusion approach for analyzing usage of contraceptive methods among women. The analysis has been done using various nine features that the usage of contraceptive among women is whether low, high or not at all. This paper also evaluates the effect of contraceptive prediction is affected by men, age, and religion. Finally, comparison of classification accuracy has been employed between 22 …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 6, Issue 1, 2019 · pp. 1–6 Read article