قائمة الطعام
Deep learning, image processing, soft computing and data mining are likely to play a vital role in recognizing plant diseases. This paper aims to review existing studies and investigations using the …
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Diabetes Prediction Using Machine Learning Approach. Strad Research, VOLUME 10, ISSUE 8, 2023 DOI: 10.37896/sr10.8/008 . 8 Pages Posted: 10 Aug 2023. See all articles by Viswanatha V ... including those for text and data mining, AI training, and similar technologies. For all open access content, the Creative Commons licensing …
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A paper in Nature Electronics reports a proof-of-concept Ising machine with all-to-all connectivity. ... A fully connected Ising machine using standard technology. …
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Working in the mining industry requires the use of different types of machinery. These machines help achieve different mining tasks with precision and efficiency.
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Dataset construction. We create a dynamic semantic network using papers published on arXiv from 1992 to 2020 in the categories cs.AI, cs.LG, cs.NE and stat.ML.
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The underground mine will use conveyor belts to transport the mineral. It will need fewer truck drivers, and workers with different skills. The open pit will be shut at the end of 2020.
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Oct 24, 2021 Mining equipment in South Africa Gumtree . Suppliers of Starter Motors, Alternators, Testers, Engine Sensors Equipment and Parts. For all types of vehicles: Cars, trucks, buses, forklifts, agricultural equipment, mining equipment etc.Based in Midrand, Johannesburg Call: 010 224 0017, 0833455220, 076 045 1361 Quality and Service you …
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Contribute to sili2023/sbm development by creating an account on GitHub.
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The prominent theories or concepts include using machine learning algorithms to predict house prices, of which linear regression, random forests, support vector machines, and boosting algorithms ...
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Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and ...
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Machine learning involves the selection of optimal algorithms through extensive analysis of historical data, enabling it to make accurate predictions . Some studies have successfully employed machine learning to discover new DPP-4 inhibitory peptides, although these discoveries have not originated from food sources.
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The use of text mining to conduct literature analyses is becoming mainstream as science keeps developing grounded on Internet media Feng et al. (2017); Skute (2019). Through such an approach, we aim to contribute to a better understanding of BC from the critical consumer trust perspective. ... Scope of using machine learning …
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The exploration of buried mineral deposits is required to generate innovative approaches and the integration of multi-source geoscientific datasets. Mining geochemistry methods have been generated based on the theory of multi-formational geochemical dispersion haloes. Satellite remote sensing data is a form of surficial geoscience …
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A log data analysis plays an important role in the uranium mining process. Automating this analysis using machine learning methods improves the results and reduces the influence of the human factor. In …
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The methodology proposed has been deployed and proven in the telecom industry using data mining applications to predict prepaid subscriber attrition. ... Customer churn prediction in telecommunication using machine learning in big data platform. J Big Data, 6 (2019), pp. 1-24, 10.1186/s40537-019-0191-6. Google Scholar. Cited by (0)
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NiceHash is an open marketplace that connects sellers or miners of hashing power with buyers of hashing power. Buyers select the crypto-currency that they want to mine, a pool on which they want to mine, set the price that they …
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In recent years, Bangladesh and the South Asian countries are facing a huge problem from mosquito-borne diseases like dengue fever. According to WHO, the global dengue incidence has grown dramatically in recent decades and there are an estimated 100–400 million infections each year. Approximately 100 million people get sick from infection, …
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However, there is still a lack of up-to-date systematic literature reviews on applications of machine learning to open-pit mining. To address this issue, this study …
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Machine learning approaches were able to accurately classify BOT and OC. Our goal is to derive a simple predictive model which also carries a good performance. Using our approach, we obtained a model that consists of just two biomarkers, HE4 and CEA. The model is simple to interpret and outperforms the existing OC prediction methods.
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This study proposes a movie prediction model that applies data mining techniques and machine learning algorithms to predict the success or failure of an upcoming movie (based on predefined ...
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using support vector machine, logistic regression(LR) and random forest(RF). Initially, performance of SVM was nearly equal to LR and RF, but, when optimal parameter
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The mineral extraction process can occur using many potential mining methods. Some of the methods include open pit, caving, bulk stoping, and/or selective …
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Fernandes, M., Corchado, J. M. & Marreiros, G. Machine learning techniques applied to mechanical fault diagnosis and fault prognosis in the context of real industrial manufacturing use-cases: A ...
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Model development. Figure 2 shows the workflow of developing a machine learning model (ML) for dengue transmission rate classification using two sets of input data, namely all variables and Boruta ...
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Surface mining is a mining operation that happens on ground level rather than in a cave.. Statistically, surface mining is more common and efficient than underground mining operations, though the two are vastly different processes. Surface mining operations uncover roughly 97% of all mined materials, primarily due to the …
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Agriculture is the pillar of the Indian economy and more than 50% of India's population are dependent on agriculture for their survival. Variations in weather, climate, and other such environmental conditions have become a major risk for the healthy existence of agriculture. Machine learning (ML) plays a significant role as it has decision support tool for Crop …
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Before making your purchase to start your crypto mining business, calculate the projected profitability of your miner, using mining profitability calculators online like this one.
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Today, most of the Bitcoin mining network's hashing power is almost entirely made up of ASIC machine mining farms and pooled individual miners. ASICs are many orders of magnitude more powerful ...
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The number of movies produced in the world is growing at an exponential rate and success rate of movie is of utmost importance since billions of dollars are invested in the making of each of these movies. In such a scenario, prior knowledge about the success or failure of a particular movie and what factor affect the movie success will benefit the production …
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Clustering, a core technique in data mining, emerges as a crucial aspect of this research, aiming to group similar seismic events for deeper insights into earthquake dynamics [24,25 ...
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