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751 articles for “mines”
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Comparative Study on Chemical Composition and Mineral Contents of Milk at Different stages of Lactation in Murrah Buffalo
Abstract: AbstractThe study was carried out to evaluate the chemical composition and mineral content of buffalo milk collected at different stages of lactation. The samples were collected from three different groups like early lactating animals, mid lactating animals and late lactating animals, these samples were analyzed for chemical composition and mineral contents. The obtained results showed that the main milk constituents were found to be at higher levels in the individual …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 9, Issue 1, 2020 · pp. 1–4 Read article
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Effect of Processing On Bioavailability of Macronutrients and Minerals in Complementary Food Formulated From Cereals and Supplemented With Legumes
Abstract: Low bioavailability of protein and minerals in plant-based foods has contributed to malnutrition challenge confronting young humans in developing settings. Therefore, roasting, germination, fermentation and boiling were investigated as possible household processing methods that could improve bioavailability of a cereal-based complementary food supplemented with soy bean and groundnut. Standard methods were adopted in evaluating the bioavailability of these nutrients in male weaning albino rat model. The results obtained showed that …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 10, Issue 1, 2021 · pp. 7–14 Read article
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Study The Effect of Metakaolin Powder in Hot Mix Asphalt as Mineral Filler
Abstract: Mineral fillers are crucial for bridging the spaces between the internal particles of the asphalt matrix. The purpose of this study is to investigate the mechanical properties of hot mix asphalt as well as the impact of utilising Metakaolin (MK) as a mineral filler. Coarse aggregate, fine aggregate, and filler are the main components of hot mix asphalt (HM). With or without modifiers, materials and asphalt binders. HMA components have …
Published in Journal of Polymer & Composites · Vol. 11, Issue 10, 2023 · pp. 9–15 Read article
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A Comprehensive Study of Nutrients Food in Nutraceuticals: Plant Extracts, Vitamins, Minerals, and Phytochemicals
Abstract: Nutraceuticals are biologically active substances obtained from food sources that offer health benefits beyond their basic nutritional value. They include plant extracts, vitamins, minerals, and phytochemicals, each of which plays a key role in supporting health, preventing disease, and optimizing physiological functions. This review examines the role of these nutrients in nutraceutical products, with a particular focus on their mechanisms of action, therapeutic effects, and potential clinical applications. Plant extracts, …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 1, 2025 · pp. 14–22 Read article
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Boron minerals: geological distribution, economic significance, and applications
Abstract: Boron (B), a critical micronutrient, plays a vital role in various biological and industrial processes. This study provides a comprehensive review of the main boron minerals, including borax (sodium borate), kernite, colemanite, and ulexite, with a focus on their geological distribution, particularly in the Mojave Desert. These minerals serve as significant sources of boron, with tincal and rasorite emerging as key contributors to global reserves. Notably, the estimated global reserves …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 1, 2025 · pp. 6–10 Read article
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A Smart Framework that Combines Data Mining and Optimization for Different Applications
Abstract: Blending predictive data mining with metaheuristic optimization has become essential for tackling tough, real-world problems across all kinds of fields. Most existing methods stick to fixed algorithms, each focused on a tiny slice of the puzzle, barely budging when new variables or unpredictability show up—especially with messy, human-generated data. So, here’s the idea: a Unified Metaheuristic and Predictive Data Mining (UMPDM) framework that finally connects adaptive search methods with powerful …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 10–14 Read article
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Improving Software Cost Estimation Process through Classifcation Data Mining Algorithms using WEKA Tool
Abstract: Today, the Software Cost Estimation (SCE) is one of the hot research areas among the researchers. Cost estimation is a method of the achievable cost of a product, thing, program, or an undertaking, enrolled in light of available information. It attempts to data predict good results to combined both of the field software engineering and data mining in this work. It generates the accurate cost of the projects with the …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 24–33 Read article
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Distributed Data Mining Cloud Based System
Abstract: When traditional data mining systems are used for cloud computing, there are performance bottlenecks and scalability difficulties. In this study, it states that a data mining platform is directly based on the cloud computing. As compared with the traditional data mining systems, the platform is highly scalable, with massive data processing capabilities, service-oriented and low hardware costs. The platform can support the design and application of various distributed data mining …
Published in Journal of Operating Systems Development & Trends · Vol. 5, Issue 3, 2018 · pp. 10–14 Read article
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Opinion Mining through Enhanced Lexicon Approach
Abstract: AbstractThe World Wide Web’s rapid growth has enhanced online communication. One of the approaches to putting user views is the use of social networking sites. The user’s opinion needs to be analyzed by studying user’s input text using techniques of machine learning with subjectivity, emotion, sentiment analysis or polarity calculation. Most of the existing work in the field of opinion mining has largely focused on identifying sentiment polarity as positive, …
Published in Journal of Web Engineering & Technology · Vol. 7, Issue 3, 2020 · pp. 8–15 Read article
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Implementation of MRPrePost Parallel Algorithm based on Hadoop Platform for Large-Data Mining
Abstract: AbstractThe volume, velocity and variety of the data have increased several folds in the past few years. The conventional algorithms and techniques used to mine such huge data are found to be less efficient because these algorithms consider only the large threshold value due to which the number of candidates can be reduced, but this will lead mining association rules production to be inaccurate due to low utilization of data. …
Published in Recent Trends in Parallel Computing · Vol. 4, Issue 2, 2017 · pp. 10–20 Read article
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Predicting Employees Performance using Data Mining Techniques
Abstract: Human resources management (HRM) has become one of the essential interests of managers and 4decision-makers in almost all types of businesses to adopt plans for correctly discovering highly qualified employees. In this research, data mining techniques were utilized to build a classification model for predicting the performance of employees using a real dataset. For this, we are using different methods such as support vector machine, Logistic Regression and Neural Network. …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 1, 2021 · pp. 4–13 Read article
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Predicting the Computer Access Needs of Employee Using Data Mining Algorithms
Abstract: Every business relies on data to better organize and access the information to improve their business operations and to identify opportunities for improvement. A better framework improves the ability to valuable products and better services to their customers. The wide swaths of data that every organization gathers requires a proper methodology to gain knowledge about the latest trends in the market. Data mining is the process that analyses the data …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 1, 2023 · pp. 12–16 Read article
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Disease Prediction System Using Data Mining
Abstract: The project's main goal is to develop a system that allows users to get personalized advice on their health problems using data mining techniques. In today's hectic world, most individuals overlook this asset, which could be due to a lack of time or the intricacy of the massive data available on the internet. Our goal is to evaluate data processing techniques in clinical and health care settings in order to …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 9, Issue 1, 2022 · pp. 9–13 Read article
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Self-Learning SIEM System Using Association Rule Mining
Abstract: The rise of new security threats similar to polymorphic multi-step attacks, have made security something just more than perimeter defence, IDS/IPS, Firewalls, Anti-virus etc. Although, security techniques have evolved a lot, so have the attacks. Hence, a comprehensive solution is required wherein all the sensory controls can work in coherence. In this paper, we intend to propose a SIEM system with the self-learning capability which can produce optimized and efficient …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 2, 2015 · pp. 10–23 Read article
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Microorganism Communities Response of Ecological Changes in Post Tin Mining Ponds
Abstract: The ecological changes are the main problem of post tin mining activities, such as post tin mining ponds and it has occurred for a long time chronosequence. The understanding of how post tin mining activities bring ecological changes and how the microorganism communities respond to these environment changes becomes an important part to explore the potential of bioremediator to accelerate the recovery of water quality as water sources for secondary …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 6, Issue 1, 2016 · pp. 17–26 Read article
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A Survey Paper on Gene Expression Data in Data Mining
Abstract: For analyzing the gene expression data, data mining technique, i.e. data clustering methods are to be more victorious. Cluster analyses are performed to look for separating the given data set into groups that are based on particular characteristics or behavior;therefore the data are much similar in the same group and different from other cluster/groups. From past few decades, various studies on cluster analysis have been developed. Most traditional clustering algorithms …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 1, 2017 · pp. 14–22 Read article
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Mineral Exploration methods Using Remote Sensing and GIS techniques: A Review
Abstract: This work provides an overview of the use of remote sensing and Geographic Information System (GIS) techniques for mineral exploration. The integration and analysis of various data types, including geological, geochemical, geophysical, and remote sensing data, using remote sensing and GIS tools allow for the creation of comprehensive maps and models of mineral deposits. The advantages of remote sensing and GIS in mineral exploration include more effective targeting of exploration …
Published in Journal of Remote Sensing & GIS · Vol. 14, Issue 1, 2023 · pp. 31–38 Read article
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Implementation of Data Mining Approach to Find the Adaptability of Students in Online Education during Covid-19 Pandemic
Abstract: The global Covid-19 pandemic has severely affected very aspects of human life, including education. The virus' stunning spread created havoc in the educational system, causing educational institutions to close. As an effect, students must quickly adopt to the change to synchronous online learning. This study identified the different aspects affecting the adaptability level of students in online class. It also identifies the student’s adaptability level in different circumstances in online …
Published in Journal of Artificial Intelligence Research & Advances · pp. 1–8 Read article
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Air Quality Monitoring Using IoT Cloud Framework in Underground Mining
Abstract: The quality of air is a major concern nowadays; this is due to its crucial impact on human beings. Maintaining a good and healthy environment in a closed area depends heavily on the atmosphere. The primary difficulty lies in upholding air quality within an enclosed workplace setting. The conventional way to measure the quality of air was to collect the air quality samples by the fixed instruments in fields and …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 1, 2024 · pp. 46–65 Read article
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Evaluation of Credit Risk of Bank Customers with a Hybrid Approach of Data Mining Techniques
Abstract: Credit risk poses the most significant threat to financial and monetary institutions. Banks strive to offer loans that generate high returns while minimizing risk. Achieving this requires the ability to accurately identify and classify credit customers, both individuals and legal entities, according to their likelihood of fully meeting their obligations. This classification is done using relevant financial and non-financial criteria. The primary goal of this study is to assess the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 63–81 Read article