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249 articles for “mining”
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Formulation and evaluation of vyadhikshamatva vardhak giloy ghanvatis
Abstract: The product of Kalka Kalpana, one of the five essential ayurvedic medicinal preparations, vati Kalpana. Because of its many advantages, such as its tasty nature, ease of administration, ease of dispensing, and ease of transportation, vati kalpana is a vital part of the ayurvedic formulation. A pharmaceutical technique called vati kalpana uses powder of unprocessed medications (herbal or herbo minerals) and is triturated using juice, honey, or kassayam, and the …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production Read article
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An Overview of Spam Detection Techniques
Abstract: Spam is also known as unsolicited commercial email (UCE) has become a major worry for the internet's and worldwide commerce's long-term viability. Fake emails and other forgeries, such as phishing, are examples of spam emails. Which aim to collect confidential personal information about users on the network or to act illegally against authority. Spam produces a variety of issues, which can result in financial losses. Spam creates bottlenecks and traffic …
Published in Journal of Advancements in Robotics Read article
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Foxtail Millet (Setaria italica): A Detailed Review on Nutritional Value, Anti-Nutritive Value, Potential Health Benefits
Abstract: Millets are a diversified collection of small-seeded grasses that have been used as a primary source of grain for generations in various regions of Asia and Africa. Millets are a staple grain this is historically consumed in dry regions everywhere in the international. They are high in protein, fats, minerals, nutrients, and fiber.. Millets are highly nutritious grains rich in essential amino acids, minerals, and dietary fiber, offering health benefits …
Published in International Journal of Nutritions · Vol. 1, Issue 2, 2024 · pp. 20–26 Read article
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Assessing Soil Nutrients Through IoT for Enhanced Farming and Agricultural Intelligence
Abstract: Soil fertility is of paramount importance in agriculture, as it directly impacts the capacity of plants to flourish and develop. Recent advancements in technology, such as soil sensors and Arduino, offer effective means to assess soil nutrients. Key nutrients for agriculture, including nitrogen, phosphorus, and potassium (NPK), are vital for plant development and are considered primary contributors to soil fertility. Monitoring these nutrients enables farmers to gauge the specific needs …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 1, 2024 · pp. 1–9 Read article
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Overview On Lauha Rasayana W.S.R. To Rasayogasagar
Abstract: Ayurved is the ancient science which addresses disorders with the natural pharmaceuticals, including those derived from animals, plants, minerals and metals. Rasashastra is a pharmaceutical branch of Ayurved medicine, which developed in mediaeval period and focuses on therapeutic use of metals and minerals. Treatment with using of this metals, minerals, gemstones, animal product and herbal ingredients is known as Rasachikitsa. The key objective of Rasachikitsa is to deliver high-quality, safe …
Published in Research & Reviews : Journal of Herbal Science · Vol. 13, Issue 1, 2024 · pp. 11–16 Read article
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Using Machine Learning for Key phrase Extraction in Digital Libraries
Abstract: Machine learning has revolutionized various aspects of information retrieval, including key phrase extraction in digital libraries. Key phrase extraction is crucial for summarizing and categorizing vast amounts of textual data, enabling efficient search and retrieval processes. This study explores the application of machine learning techniques for automatic key phrase extraction in digital libraries. We review various supervised and unsupervised learning algorithms, including deep learning models, that are employed to identify …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 8–13 Read article
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Clay–Polymer Nanocomposites: An Efficient Adsorbent for Waste Water Treatment
Abstract: Despite the abundance of water sources, the globe today lacks potable water because to pollution. Pollutants can be removed from water using a variety of technologies, but adsorption is considered the most simple, effective, economical, and ecologically beneficial method. The class of adsorbents known as clay–polymer nanocomposite (CPN) adsorbents is one that is now gaining popularity. By adsorbing and flocculating inorganic and organic micropollutants from water, CPNs efficiently cleanse water. …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 111–118 Read article
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Autism Spectrum Disorder Prediction Using Classification Techniques: A Comparative Analysis
Abstract: Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder marked by difficulties in social interaction, communication, and repetitive behaviors. Identifying and addressing ASD early is essential for enhancing the quality of life for those affected. Data mining techniques have emerged as powerful tools in analyzing large datasets to predict and diagnose ASD, aiding in early identification and intervention. This article presents a comprehensive comparative analysis of classification techniques employed in …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 66–71 Read article
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Enhancement of Soil Fertility Using Natural Fiber-Based Engineering Composite Materials for Higher Crop Production: A Review Paper
Abstract: Enhancement of Soil fertility using engineering composite materials via efficient nutrient management strategies is essential as is rising natural fiber based composite material crop production every land area unit to satisfy next diets and fiber consumption. Major developments have improved the production's nutrient-use economy Improved crop flexibility to applied nutrients, decreased off shore nutrient move, and greater predictions of the nutrients available to plants in the root zone have all …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 79–87 Read article
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Advancements in K-Means Clustering: Boosting Algorithm Performance through Innovations
Abstract: K-Means clustering is a widely used unsupervised learning algorithm for partitioning a dataset into distinct clusters. Despite its popularity and simplicity, K-Means has several limitations, such as sensitivity to initial centroids, convergence to local minima, and inefficiency with large datasets. This paper reviews recent advancements aimed at addressing these challenges and enhancing the performance of the K-Means algorithm. Innovations include improved initialization methods, such as K-Means++, which significantly reduce the …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 30–37 Read article
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Smart City Solutions for Waste Management and Pollution Control
Abstract: Recent trends in the role of artificial intelligence, IoT, and other smart technologies have a critical role toward addressing urban environmental challenges related to air quality and waste management in the context of a smart city. This changes the scope of managing air quality as, with the integration of IoT sensors, big data, and AI, they are able to predict pollution levels through real time monitoring and analysis. These technologies …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 1, 2025 · pp. 11–22 Read article
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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 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 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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Development and Formulation of Chocolate-coated Seeds Bar
Abstract: Vitamins E, D, and B6 minerals like zinc and selenium and amino acids like glutamine all play a role in the body's immune system development. Edible seeds are a great source of protein, healthy fats, fiber, and important minerals like magnesium, potassium, calcium, iron, and zinc in addition to vitamins B1, B2, B3, and E. Examples of edible seeds include pumpkin, flax, sesame, sunflower, mustard, amaranth, oat, barley, black rice, …
Published in International Journal of Nutritions · Vol. 1, Issue 1, 2024 · pp. 1–12 Read article
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Nutritional Enhancements in Dairy Products
Abstract: Dairy products play a crucial role in diets globally, providing key nutrients like proteins, fats, vitamins, and minerals. However, with evolving dietary needs and a growing focus on public health, the fortification of dairy products has emerged as a critical strategy to enhance their nutritional profile. This review explores the fortification of dairy products with vitamins, minerals, probiotics, and other health-promoting ingredients, examining the methods, benefits, challenges, and future prospects …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 13, Issue 2, 2024 · pp. 18–23 Read article
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Impact of Composite Materials by Silica Fume and Fly Ash in Cement and Partial Substitution of Fine Aggregate Using Quarry Dust in Steel Fibre Concrete
Abstract: Mineral admixtures can be added to concrete to replace some of the cement, increasing its overall strength. Fly ash (FA) and silica fume (SF) are two often used mineral admixtures. A series of experiments were conducted to investigate the effect of adding varied amounts of fly ash and a consistent amount of silica fume on concrete strength by using the same amount of substitute for cement and the same water-binder …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 139–147 Read article