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749 articles for “mines”
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Evaluation of Organic-Mineral Fertilizer Components: A Multi-Criteria Analysis Based on Various Factors
Abstract: This study explores the potential of organic-mineral fertilizers as sustainable alternatives to synthetic options, evaluating ten such fertilizers, including coffee grounds, poultry eggshells, bone meal, Fish Emulsion, compost, cow manure, wood ash, biochar, seaweed extract, and green manure. A multi-criteria analysis assessed factors like effectiveness, cost, environmental impact, availability, and waste potential. Coffee grounds and poultry eggshells performed best due to their high nutrient content and positive soil effects, with …
Published in International Journal of Trends in Horticulture · Vol. 2, Issue 2, 2025 · pp. 29–42 Read article
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Metagenome-Informed Engineering of Monoclonal Antibodies: Mining Microbial Immunoglobulin-Like Domains for Ultra-Stable Therapeutics
Abstract: Metagenome-informed engineering represents an emerging strategy for improving the stability and functionality of monoclonal antibodies (mAbs) by leveraging the vast diversity of microbial immunoglobulin-like (Ig-like) domains (10,24). These domains, derived from uncultured bacteria and bacteriophages, exhibit exceptional thermostability, protease resistance, and structural resilience due to adaptation to extreme environments (29,30). This review highlights advances in metagenomic mining, structural characterization, and protein engineering that enable the integration of microbial Ig-like scaffolds …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 · pp. 70–83 Read article
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Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
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Disease Prediction for Heart using Data Mining Techniques and Decision Tree Classification
Abstract: Heart disease is a prominent cause of death worldwide, and many people are concerned about it. Early detection of heart disease becomes very crucial and has the potential to save many lives. However, detecting cardiovascular diseases such as heart attacks, coronary artery disease, and others of similar types is a critical challenge presented by routine clinical data analysis, even by using well known algorithms. We can’t risk lives of people …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 2, 2022 · pp. 16–22 Read article
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New Integral Processes Enrichment of Moroccan Oil Shale using Mineral and Hydrometallurgical Methods
Abstract: In this work, we increase the calorific value of Moroccan oil shale, which is the main element in the combustion of fossil fuels. In particular, we consider the shale of Timahdit, enriching it by hydrometallurgical and mineral processing methods in order to use it to generate thermal and electrical energy. Although different studies have been conducted for the development of Moroccan oil shale, but they have not dealt with the …
Published in Journal of Petroleum Engineering & Technology · Vol. 1, Issue 1-3, 2011 · pp. 28–36 Read article
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Improving Highway Surface Course Properties of Asphalt Concrete for Heavy Traffic Loading using Mineral Fillers
Abstract: Failure signs seen on both rigid and flexible pavement as distresses is most often instigated by mix properties of the surface due to many factors. Traffic loading, Stripping or raveling is another possible cause of such effects. Stripping occurs when poor adhesion between asphalt cement and aggregate allows the aggregate at the surface to dislodge. As a result, mineral fillers in hot-mix asphalt concrete to obtain certain desirable properties has …
Published in Recent Trends in Civil Engineering & Technology · Vol. 10, Issue 2, 2020 · pp. 12–22 Read article
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A Methdology of Software Cost Estimation Techniques for Data Mining
Abstract: Many software projects fail every year due to increasing size and complexity of software projects. To deal with this problem many researcher have been focused on this area of Cost estimation since 1960s. The cost estimation is usually dependent upon the size estimate of the project, which may use lines of code as metrics. Software engineering plays an important role in software development process. It is used to develop quality …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 82–87 Read article
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Terrorist Network Mining
Abstract: AbstractTerrorist activities worldwide has moved toward the advancement of different high-finished strategies for dissecting psychological militant gatherings and disrupting government systems. Existing examination found that social network analysis (SNA) is a standout amongst the best and persistent technique for countering fear mongering in interpersonal organizations. In this paper our approach is divided in two phases, in Phase 1, we apply shuffled frog leap algorithm (SFLA) for SNA in order to …
Published in Journal of Communication Engineering & Systems · Vol. 7, Issue 2, 2017 · pp. 42–52 Read article
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Making World as More Green and Healthy using Data Mining Techniques
Abstract: AbstractTrees are vital. As the biggest plants on the planet, they give us oxygen, store carbon, stabilize the soil and give life to the world's wildlife. A study from 2017 reveals the information that more than 150 acres lost every minute of every day, and 78 million acres lost every year, yet there is no proper technical solution to identify the places of deforestation and to plant trees on those …
Published in Journal of Computer Technology & Applications · Vol. 10, Issue 1, 2019 · pp. 17–22 Read article
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Efficient Information Retrieval based on Name and Aliases from the Web using Anchor Text Mining
Abstract: AbstractInformation Retrieval (IR) plays an important role in search engines. The major task is to search and retrieve complete information from the web in an effective and efficient way and hence it is found to be an enabling technology to realize the full potential of it. IR has a vital role in our day to day activities and it is considered to have a most prominent role in the search …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 2, 2014 · pp. 13–18 Read article
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An Ontology-Based Learnable Focused Crawler using Hybrid Latent Semantic Indexing In Data Mining
Abstract: In this paper, we proposed an ontological model of an information system that provides precise definitions of fundamental concepts like Query, Sub-query, and Coupling. Queries are mapped to this space with documents being retrieved based on similarity model. In this Research, OLC (Ontological Semantic Indexing) Performance in document retrieval is investigated and compared with traditional term matching techniques with the help of LSI, LUD, CHOLSKEY Transform, Natural language processing to …
Published in Journal of Web Engineering & Technology · Vol. 2, Issue 2, 2015 · pp. 11–17 Read article
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Design and Development of Automatic and Effective Bug Triaging Technique using Data Mining
Abstract: Bug fixing is an important task in bug triaging which aims the assignment of a new bug to the correct developer. The automatic bug triage is used to reduce the time and cost in manual work. In this paper, we focus on different modules and the result is produced by the user module. User is the person who creates the account and fixes the bug assigned to him.Keywords: Bug triage, …
Published in Journal of Web Engineering & Technology · Vol. 3, Issue 1, 2016 · pp. 1–6 Read article
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Review on Weather Events Forecasting Using Data Mining Algorithms
Abstract: Weather events forecasting is the most imperious and stimulatingfunctioning responsibilities supported by meteorological departments worldwide. Amongst all weather events, rainfall plays the most authoritative role in the life of human beings. Human society to a great level depends upon its frequency at various scales. Data mining is a process that mechanically abstracts useful patterns from a given data set. Thecommon algorithms and techniques for rain forecasting like Artificial Neural Networks …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 1, 2018 · pp. 12–22 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 every aspect 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 · Vol. 9, Issue 2, 2022 · pp. 1–8 Read article
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Data Mining Methods for Large Data
Abstract: AbstractHigh dimensional data order ends up plainly difficult assignment since information are substantial, complex to deal with, heterogeneous and progressive. Keeping in mind the end goal to lessen the informational index without influencing the classifier precision. The element determination assumes a fundamental part in huge datasets and which expands the proficiency of arrangement to pick the vital highlights for high dimensional grouping, when those highlights are superfluous or corresponded. Along …
Published in Recent Trends in Programming languages · Vol. 4, Issue 3, 2017 · pp. 1–6 Read article
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Data Mining Methods for Large Data
Abstract: High dimensional data classification becomes a challenging task because data are large, complex to handle, heterogeneous and hierarchical. In order to reduce the data set without affecting the classifier accuracy, the feature selection plays a vital role in large datasets and which increases the efficiency of classification to choose the important features for high dimensional classification, when those features are irrelevant or correlated. Therefore feature selection is considered to be …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 30s–35s Read article
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Ten Years of Research on Centella asiatica: A Consolidated Review through Data Mining from Scopus
Abstract: The review article has been written with the objective to provide a consolidated ten years of research report (2005–2015) for Centella asiatica which shall be helpful in mapping down the research trends for this valuable medicinal plant. Such consolidated report shall also be helpful in stratgizing future research explorations for this plant without the risk of duplicating already published work. This report is based on the critical analysis of research …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 4, Issue 3, 2017 · pp. 13–18 Read article
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EXPERIMENTAL STUDY ON MECHANICAL AND DURABILITY PROPERTIES OF CONCRETE USING MINERAL ADMIXTURES
Abstract: This study explores the partial replacement of OPC with Fly Ash (FA), Rice Husk Ash (RHA), Glass Powder (GP), Palm Oil Fuel Ash (POFA) at varying percentages of 10%, 20%, 30% with the addition of 1% chemical admixture with water-cement ratio of 0.45. The influence of these replacements on the fresh properties, mechanical and durability properties is evaluated at 7, 28, and 56 days of curing. The results indicate that …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 148–160 Read article
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Effective Ayurvedic Management of Dadru Kustha with Herbo- mineral Aushadhi yoga: A Single Case Study
Abstract: The skin, as the body's largest organ, is highly prone to various disorders due to its size and exposure to external factors. The majority of skin conditions are often the result of infections, including those caused by fungi or bacteria. In Ayurveda, skin diseases are grouped under the term 'Kustha' and are further categorized into MahaKustha and KshudraKustha. Among these, Dadru is a notable condition, classified as Raktapradoshaja Vikara, with …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 11, Issue 3, 2024 · pp. 26–31 Read article
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Advancements in Ore Beneficiation Technologies: A Review of Modern Extraction Methods
Abstract: Ore beneficiation plays an essential role in the mining industry, as it facilitates the extraction of valuable minerals from their ores while ensuring maximum efficiency and minimal environmental impact. Beneficiation technologies have evolved significantly over time, leading to improvements in metal recovery rates and reduced waste generation. These advancements have enabled the mining industry to address increasing resource demands, with a particular focus on sustainability and cost-effectiveness. In this review, …
Published in International Journal of Minerals · Vol. 2, Issue 1, 2025 · pp. 36–40 Read article