Search
749 articles for “mines”
-
Spectral Signatures to Achieve Accuracy
Abstract: AbstractSignature of spectrum is data convert appearances those to make for least accuracy variation by generalization and extension in place of expansion. Pixel form has subjected to change from multi-spectra issued to hyperspectral formation after issue of spectroscopic forms. Spectral signatures perform have scaled to measure from agronomy to metallurgical element detecting prosecution. Optimism appeared in species differentiation between coconut and palm oil plantation. Updating forms from spectroscopic hyper-spectra have …
Published in Recent Trends in Electronics Communication Systems · Vol. 6, Issue 3, 2019 · pp. 26–31 Read article
-
A Latest Approach for Crime Rate Prediction and Analysis by Using the Clustering and Machine Learning Algorithm
Abstract: In our daily life, the collection and analysis of crime-related data is uncertain from a security perspective. Crime rate forecasting and analysis is a way of identifying and analyzing crime patterns in crime data contained in a crime database. Our system predicts what criminal activity occurs in everyday life in various parts of the world. Through the utilization of machine learning and data mining algorithms, it is possible to forecast …
Published in Journal Of Network security · Vol. 11, Issue 2, 2023 · pp. 32–42 Read article
-
Factors Affecting Residual Ridge Resorption: a Literature Review
Abstract: Residual ridge is a term used to define the shape of the alveolar ridge after healing of bone and soft tissue after tooth extraction. Patients suffering from long-standing edentulism commonly suffer from this incapacitating problem, especially in the mandible. As it causes physiologic, physical, and economic problems to patients, the cause of ridge resorption needs to be identified. Residual Ridge Resorption is a progressive, irreversible disease, as a result of …
Published in Research and Reviews: A Journal of Dentistry · Vol. 10, Issue 2, 2019 · pp. 10–15 Read article
-
Sentiment Analysis for Financial Predictions: A Review
Abstract: AbstractSentiment analysis is one of the popular research areas in computer science, as it finds its application in numerous areas like finance, election and product reviews. Behavioral economics suggests that decision of investing in financial markets is driven by feelings like greed, fear etc. With widespread adoption of technology and digitization of corporate disclosures, news and social media platforms, and information expressed through words can be mined and used to …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 1, 2019 · pp. 59–68 Read article
-
A combined concept of K-means clustering and DES technique accomplishing Anonymization method for Privacy Preservation
Abstract: Privacy-Preserving Data Mining also an important part of the data mining and privacy preservation has gain particular attention in current years. Data mining has been widely studied and useful into numerous fields which include the the business growth. In any case, Data mining strategies furthermore take region basic requesting circumstances because of augmented touchy measurements revelation and the infringement of privacy. This discussion describes the privacy concern that occurs due …
Published in Journal of Advances in Shell Programming · Vol. 5, Issue 1, 2018 · pp. 14–19 Read article
-
On Pell Functions and Pell Numbers
Abstract: Number sequences have been studied by many scientists for many years because they find applications in nature and many branches of science. The most well-known number sequence among these integer sequences is the Fibonacci sequence. Later, these integer sequences were generalized and many number sequences were defined and their properties were examined. One of these is Pell number sequences. Pell numbers can be calculated in a way similar to the …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 10, Issue 3, 2023 · pp. 1–9 Read article
-
An Application of Recommendation Systems to Cluster-based Pattern Recognition
Abstract: Information overload is a common problem faced by internet users; so, the recommendation system is becoming increasingly important to this service. Collective filtering is used by recommendation systems to offer recommendations to individuals or for products based on their shared interests. Data or people should be grouped into clusters so that they have more in common with those in the same cluster and stand out from those in other clusters. …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 2, 2023 · pp. 28–36 Read article
-
Unlocking the Earth's Secrets: Diamond Drilling Through Diverse Rock Formations
Abstract: Diamond drilling, a core drilling technique employing diamond-encrusted drill bits, has emerged as a critical method for extracting cylindrical rock samples from diverse geological formations. This article provides an extensive overview of diamond drilling, encompassing its equipment, applications, challenges, and its pivotal role in geological exploration, mining, and construction projects. The versatility of diamond drilling is evident in its adaptability to various rock types, spanning the gamut from soft sedimentary …
Published in Journal of Remote Sensing & GIS · Vol. 14, Issue 2, 2023 · pp. 39–41 Read article
-
Review on: Study the Effect of Fermentation on the Value of Teff Injera [Eragrostis (Zucc.) Trotter]
Abstract: ABSTRACTIn Ethiopia, teff is smallest grain used as principal ingredient in formation of injera which is one of the staple foods of the population. It is unique durable crop grown over wide range of environmental conditions and has been utilized as food and supplements to majority of the human diets in Ethiopia. The potential of this grain, as an interesting raw material, for new food product development is due principally …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 10, Issue 2, 2019 · pp. 53–64 Read article
-
Analysis of Proximate Composition, Nutritional Contents and Enzymatic Activities of a Local Variety of Betel Leaf from Bangladesh
Abstract: AbstractBetel leaf is a medicinal herb that is commonly used as chewing food item to almost all classes of people in Bangladesh. In the present study, a local variety of betel leaf, Dudhswar, was investigated for analyzing the levels of proximate compositions, vitamins, minerals and carbohydrate metabolizing enzymatic activities. At mature stage, moisture, ash and fiber contents of the betel leaf were 85.40%, 3.15% and 2.11%, respectively. Moisture content decreased …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 10, Issue 3, 2021 · pp. 21–30 Read article
-
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 · Vol. 10, Issue 4, 2023 · pp. 1–7 Read article
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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