AI in Mining – Mineral Exploration, Autonomous …

This article examines how the mining industry is using or attempting to use AI to improve productivity and efficiency throughout the process. We'll cover: The various mining processes where AI is being …

Mining and Exploration

XRF is a fast, accurate, and easy tool for different analytical applications in the mining industry. It provides an on-site analysis of ore samples with minimal sample preparation, reducing the time for lab assay from days …

Towards teaching analytics: a contextual model for analysis …

2.1 Text mining and machine learning techniques for educational process evaluation. The fundamental feature of the Text mining (Altrabsheh et al., 2014; Binali et al., 2009; El-Halees, 2011; Pandey & Pandey, 2019; Wen et al., 2014) and Machine learning (Abu Alfeilat et al., 2019; Abu Zohair, 2019; Dey et al., 2016; Ghosh et al., …

Research on learning behavior patterns from the perspective …

1. Introduction. Data mining is capable of finding the useful information hidden behind simple data and processing large data sets. Educational data mining (EDM) is the application of data mining in the field of education, which was proposed by Romero and Ventura (2007).EDM bridges the gap between two disciplines: education on the one …

Evaluation of performance of machine learning methods in …

Evaluation of performance of machine lear ning methods in mining structure–property data of halide per ovskite materials Ruoting Zhao( ) 1, Bangyu Xing( ) 1, Huimin Mu ...

Towards teaching analytics: a contextual model for analysis …

The methods (Text mining and Machine learning) can be utilized to extract and provide valuable information that can not only be used to understand the teachers-students learning processes, but can also be leveraged to drive the several educational processes forward. ... Tseng C, Chou J, Tsai Y. Text mining analysis of teaching …

Mining

A Machine Learning Based Approach for Student …

Astonishing progress in machine learning and data mining techniques has been achieved during the last two decades. Education should benefit from these improvements to discover about how people learn in different educational settings. The aim of the research is comparing artificial neural network (ANN) to random forest (RF) machine learning …

AI for Sales Prospecting Tools and software

With Prospectory, your sales teams are liberated from spending 70% of their time on non-revenue tasks. The Prospectory Automation Platform seamlessly works across all your tools silos to pull data, insights, …

Quantitative evaluation of mining geo-environmental quality …

The long-term mining of mineral resources has contributed to damaging the geo-environment, drawing significant attention to the evaluation of geo-environmental quality. This paper presents an original system for evaluating mining geo-environmental quality in the Changjitu economic zone, Northeast China. The proposed evaluation …

The Application of Support Vector Machine in the …

The Application of Support Vector Machine in the Potentiality Evaluation for Revegetation of Abandoned Lands from Coal Mining Activities. Conference paper; pp 598–603; ... Daoliang, L.: A potentiality evaluation model for revegetation of abandoned lands from coal mining activities. Journal of China Agricultural University 10, 88–92 (2005)

Optimal selection of benchmarking datasets for unbiased …

Whenever a new supervised machine learning (ML) algorithm or solution is developed, it is imperative to evaluate the predictive performance it attains for diverse datasets. This is done in order to stress test the strengths and weaknesses of the novel algorithms and provide evidence for situations in which they are most useful. A common …

PMLB: A Large Benchmark Suite for Machine Learning …

The selection, development, or comparison of machine learning methods in data mining can be a difficult task based on the target problem and goals of a particular study. Numerous publicly available real-world and simulated benchmark datasets have emerged from different sources, but their organization and adoption as standards have …

Global Mining Expert Launches Prospector, An AI-Powered

FORT LAUDERDALE, FL — Today global mining expert Emily King announced the launch of Prospector, a new company using technology to increase access, information, and capital in the mining industry…

Performance evaluation of support vector machine …

Performance evaluation of support vector machine classification approaches in data mining S. Chidambaram1 • K. G. Srinivasagan1 Received: 22 December 2017/Revised: 23 January 2018/Accepted: 7 February 2018/Published online: 23 February 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract

Explainable AI and machine learning: performance …

Explainable AI and machine learning: performance evaluation and explainability of classifiers on educational data mining inspired career counseling Educ Inf Technol (Dordr) . 2023;28(1):1081-1116. doi: 10.1007/s10639-022-11221-2.

A Machine Learning Model for Evaluation of Chain Pillar …

The size of chain pillars in the Indian geo-mining conditions is primarily decided in accordance with the regulatory provisions. These provisions are of little help for deep longwall workings, exceeding the cover depth of 360 m. Furthermore, these provisions are primarily meant to support pillars in bord and pillar workings. They may not be …

Instructor Performance Evaluation Through Machine …

The student evaluation data set is referred from UCI machine learning repository. The regression value of 0.10527, 0.20826, 0.1324 and 0.17765 was achieved for linear regression, multiple regression, feed forward network and …

[PDF] A Review On Evaluation Metrics For Data Classification

The related evaluation metrics that are specifically designed as a discriminator for optimizing generative classifier are reviewed and five important aspects that must be taken into consideration are suggested. Evaluation metric plays a critical role in achieving the optimal classifier during the classification training. Thus, a selection of …

What do your pictures say about you? | The Prospectory

Alison Kidd,The Prospectory, February 2002 Glance around your sitting room at the pictures on the walls ….. what made you choose those particular pictures? And, if a friend or stranger enters your home for the first time, what do these pictures say to them about you, your interests, personality, taste, philosophy and relationships? Animals mark…

Explainable AI and machine learning: performance …

Machine Learning concept learns from experiences, inferences and conceives complex queries. Machine learning techniques can be used to develop the educational framework which understands the inputs from students, parents and with intelligence generates the result. The framework integrates the features of Machine …

The world leader in innovative portable mining and prospecting equipment. Family owned and operated since 1950. You can do it! There is so much more to reclamation dredging …

Performance Evaluation of Underground Mining Machinery: …

The maximum production of mining equipment is possible by ensuring maximum reliability and maintainability, which results in increasing the availability of equipment.

Mobile Teaching Quality Evaluation Model of Industry …

Teaching quality is the main indicator for evaluating teaching level. But it is affected by a number of contributing variables. To address existing issues in teaching quality evaluation and boost the accuracy of teaching quality evaluation, a data mining-based teaching quality assessment model is developed.

Machine Learning Model Evaluation

Machine Learning Model Evaluation. Model evaluation is the process that uses some metrics which help us to analyze the performance of the model. As we all know that model development is a multi-step process and a check should be kept on how well the model generalizes future predictions. Therefore evaluating a model plays a vital role so …

Evaluation of Current Density in DC Motor Brushes for …

Due to robustness and simplicity of control, DC machines continue to be widely used in many applications including mining. Though a mature technology, DC machines still require research attention to accomodate for heavier loads and harder operation conditions dictated by production needs. Recent advances in sensoring, data acquisition and signal …

Data mining and machine learning in the context of …

In this sense, the use of data mining (DM) and machine learning (ML) techniques can be useful, as they are easier to implement, fully adaptable, self-adapting in response to new data, and often ...

Home | Prospector | Explore and Analyze Global Mining …

A User-Friendly Way to Explore and Analyze Global Mining Projects. Prospector brings NI 43-101 reports and mining news to one platform. Supported by machine learning, Prospector synthesizes public technical data into an organized and searchable interface to help users find potential mineral assets, analyze technical reports, and make informed …

Evaluation Metrics in Machine Learning

Machine Learning Model Evaluation Model evaluation is the process that us. 11 min read. Eye Tracking Metrics - Machine Learning. Eye-tracking is an important and essential field researchers sought after. Eye-tracking is also an emerging field and has its benefits and is used in multiple ways. Fixation and Saccade are two basic components …

Construction accident narrative classification: An evaluation …

There is a huge and promising potential to explore the application of NLP and text-based analytics in this occupational injury research field and the improvement of data balancing techniques and the development of an automated decision-making support system for occupational injury by applying the deep learning-based NLP models are the …

Home | Prospector | Explore and Analyze Global …

Quickly search and analyze over 10,000 global mining projects and 3,800 publicly listed mining companies. Prospector is an AI-enabled technology platform built to modernize the way investors and researchers search for …

THEORETICAL FRAMEWORK FOR THE EFFICIENCY …

and cutter heads of coal mining machines to ensure required capacity of production faces in specific geological conditions. Coal mining machine capacity The main economic e fficiency criterion o f a mining machine is the theoretical (estimated) capacity (Q t, t/min) given by: Q t = B wwH mtV frγcoa l, t/m in, (1) w here B the web width, m;H

CIM Mineral Exploration Best Practice Guidelines

Introduction. The CIM Mineral Exploration Best Practice Guidelines (the Exploration Guidelines) have been prepared to assist professional geoscientists and engineers to …

PRIME-1 Polar Resources Ice Mining Experiment-1

regolith cuttings to the surface for water and other volatiles evaluation by MSolo Objective #2 MSolo will measure within its field of view, the composition of gases emanating near the TRIDENT drill before, during and after drilling activities PRIME-1 Level 1 Requirements Requirement #1 PRIME-1 shall operate on the surface at a lunar polar region

Pattern Evaluation Methods in Data Mining

Support pattern evaluation can be used to find a variety of interesting patterns in data, including association rules, sequential patterns, and co-occurrence patterns. Support pattern evaluation is an important part of data mining and machine learning, and can be used to help make better decisions. 8. Confidence