Large language models (LLMs) are initially pretrained for broad capabilities and then finetuned with instruction-following datasets to improve their performance in interacting with humans. Despite advances in finetuning, a standardized guideline for selecting high-quality datasets to optimize this process remains elusive. In this paper, …
Slurry Pump Handbook gives guidance in the sizing and selection procedure for various applications to minimize costs for hydraulic transportation of solids.
PDF | On Jan 1, 2019, P. Kruczek and others published Predictive Maintenance of Mining Machines Using Advanced Data Analysis System Based on the Cloud Technology | Find, read and cite all the ...
Due to increasing demands for dimensionality reduction, research on feature selection has deeply and widely expanded into many fields, including computational
PDF | On Mar 1, 2016, C. Musingwini published Mine Planning and Equipment Selection (MPES 2015) | Find, read and cite all the research you need on ResearchGate
With more mines and processing plants running around the clock, mining operators require material handling equipment that is reliable and needs less maintenance.
To identify potential biomarkers from mRNA expression profile data, we used the Logic Mining method for the unbiased analysis of a large microarray expression dataset from the anti-NGF AD11 transgenic mouse model. The gene expression profile of AD11 brain regions was investigated at different neurodegeneration stages by whole genome …
By using relevant data, studies, and methods, mine planners at Atlantech assist miners to identify the most cost-effective opportunities to maximise productivity and equipment life at open pit mining operations. We are skilled at equipment selection, drawing on modern approaches. Please get in touch with us today if we can be of …
Study with Quizlet and memorize flashcards containing terms like 1. Which one of these items is NOT one of the three report types in GCSS-Army?, 2. What must you do to ensure that a report always displays with the changes you made to the layout?, 3. Which of the following statements about the List Viewer is FALSE? and more.
Preliminary Mine Planning: Developing a preliminary plan for the extraction of minerals, including consideration of mining methods (open pit, underground) and equipment selection.
THIS book professes to be "a practical handbook for the use of mine-managers and engineers" to assist them in the "selection, arrangement and installation" of gold-mining machinery.
About Us Founded in 2005, Jiangxi Naipu Mining Machining and New Materials Co., Ltd. develops, produces and sells various products and rubber wear parts geared towards the ferrous and non-ferrous ...
As the complexity and cost of equipment used in mines are increasing rapidly, mining equipment reliability is becoming an important issue. This chapter presents various important aspects of mining equipment reliability including reasons for improving mining equipment reliability, open pit system reliability analysis, programmable electronic …
Dimensionality reduction of a data set by selecting or extracting relevant and nonredundant features is an essential preprocessing step used for pattern recognition, data mining, machine learning, and multimedia indexing.
The technique of machinery fault diagnosis has been greatly enhanced over recent years with the application of many pattern classification methods. However, these classification methods suffer from the "curse of dimensionality" when applied to high-dimensional fault diagnosis data. In order to solve the problem, this paper proposes a …
Overall, this guide compiles key equipment criteria to simplify and enhance your surface mining loading tool selection process.
Band selection is per-formed with both unsupervised and supervised approaches. Five methods (three unsupervised and two supervised) are pro-posed and compared to identify hyperspectral image bands ...
Attribute selection is an important methodology for data mining problems. Removing irrelevant and redundant attributes from original data set can greatly simplify building classifier models.
The methodology presented in this paper may be used by mining operators to help in the selection of a specific type when acquiring a new truck. It may also be used by equipment manufacturers to help in analysis of potential benefits of envisaged modifications concerning an existing truck type and/or development of a new type.
Feature selection is an effective technique for dimension reduction and an essential step in successful data mining applications. It is a research area of great practical significance and has been developed and evolved to answer the challenges due to …
Predictive modeling machine learning projects, such as classification and regression, always involve some form of data preparation. The specific data preparation required for a dataset depends on the specifics of the data, such as the variable types, as well as the algorithms that will be used to model them that may impose expectations or …
Feature selection, as a data preprocessing strategy, has been proven to be effective and efficient in preparing data (especially high-dimensional data) for various data mining and machine learning problems. The objectives of feature selection include: building simpler and more comprehensible models, improving data mining …
For horizontal grinding mills, offers the industry's widest selection, including the Planet Positive Premier™ and Select™ mills. The energy-efficient mills can be easily integrated with mill relining equipment and are supported by an extensive services network to ensure optimization during the mills' lifetime.
On-site Machine Repair Services. We work across multiple industries, providing our clients a 24/7 worldwide service. Below is a selection of services that are relatable to this industry. We work closely with the mining industry to provide mining equipment repair and maintenance. Browse our machinery, mineral and mining repair services today.
A study of support vectors on model independent example selection. In Proceedings of ACM SIGKDD, International Conference on Knowledge Discovery and Data Mining, New York, S. Chaudhuri and D. Madigan (Eds.). pp. 272-276.
mineral processing equipment. nodulizers. pelletizers. trams. Other types of mining machines are also available. Selecting mining machines requires an analysis of product capabilities and application requirements. Tunnel boring machines (TBM), or moles, are used to excavate tunnels. They produce a circular cross-section and differ in terms of ...
The change of the parent company name Corporation is effective starting May 4, 2023, but globally the change will be implemented in a phased manner. The visual identity of the company …
The evaluation and selection of green suppliers are some of the most important tasks in green supply chain management (GSCM). The purpose of this study is to develop an effective green supplier evaluation model. Currently the evaluation criteria are determined through a literature review combined with decision-maker opinions. A few …
In general, pump selection necessitates determination of the pump type and size, materials of pump components, and pump design features. This chapter presents detailed analyses of the factors of direct relevance to pump selection. The bases of pump selection are numerous, but the common ones are: type of pumped fluid, operating …
In this paper, we consider instance selection as an important focusing task in the data preparation phase of knowledge discovery and data mining. Focusing generally covers all issues related to data reduction. First of all, we define a broader perspective on focusing tasks, choose instance selection as one particular focusing task, and outline ...
Finland's Minerals and Outotec are merging to create a €4.2 billion-a-year comminution and mineral processing company and one of the world's biggest public-listed pure-play mining ...
Then, on 14 high-dimensional gene datasets, the effectiveness of the proposed discrete version, namely, BGLSMA, is verified by comparing with other feature selection algorithm.
Construction Machinery Co., Ltd. (Tokyo Stock Exchange, First Section)("HCM") announced that it will expand its mining business, particularly in resource rich regions of the world. HCM has made a strategic investment and purchased a significant interest in Wenco International Mining Systems, Ltd. ("Wenco"). Wenco is a leading ...
