Results 81 to 90 of about 972,022 (303)
Hybrid intelligence for data mining
Today, enormous amount of data are being recorded in all kinds of activities. This sheer size provides an excellent opportunity for data scientists to retrieve valuable information using data mining techniques. Due to the complexity of data in many neoteric problems, one-size-fits-all solutions are seldom able to provide satisfactory answers.
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ProcessM: Intelligent Process Mining software
Contemporary software guides and executes various business processes, such as production, delivery of goods, sales, and official procedures. However, due to software flexibility, unforeseen circumstances, and exceptional conditions, processes may not always be executed as intended. Without proper monitoring, these deviations can go unnoticed.
Tomasz P. Pawlak, Jedrzej Potoniec
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In patients with malignant ureteral obstruction undergoing percutaneous nephrostomy, sarcopenia defined by a low psoas muscle index was independently associated with poor overall survival on multivariate Cox regression analysis, suggesting that preoperative assessment of psoas muscle index may aid prognostic stratification in this population.
Kota Shimokihara +3 more
wiley +1 more source
An assessment of the quantum for financial provision of mine closures: a Monte Carlo approach. [PDF]
Includes abstract.Includes bibliographical references.Poor mine closure policy threatens both society and the environment. Some of the more prominent threats that have manifested are acid mine drainage, slimes dams and toxic dust from dumps.
Hewitson, Shaun B
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Research on intelligent mining in Madiliang Coal Mine
The existing research results of intelligent mining in coal mines have not been combined with the production practice to specify the application of key technologies of intelligent mining in coal mines. Taking the Madiliang Coal Mine as the engineering background, the key technologies and application effects of the construction achievements of ...
XU Rijie1,2,3 +3 more
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ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
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IACGAN-ST: A Fault Diagnosis Method for Scraper Conveyor Bearings Under Imbalanced Data Conditions
Bearings in mining scraper conveyors, essential transmission components, are frequently subjected to harsh environments, including high temperatures, heavy impact loads, dust contamination, and prolonged operational durations.
Hongwei Wang +7 more
doaj +1 more source
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi +8 more
wiley +1 more source
In order to strengthen the construction of mine fire intelligent monitoring and early warning system, the research idea of mine fire intelligent monitoring and early warning technology, and summarizes the research progress of mine fire intelligent ...
Jun DENG +7 more
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ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng +4 more
wiley +1 more source

