Results 31 to 40 of about 5,928 (182)
Think Before You Answer : Fostering Deep Thinking among Students Through Moodle's Certainty-based Marking (CBM) [PDF]
, 2022 The quality of students' grasp of what they have learned in class is unclear to the instructors in multiple-choice assessments. Multiple-choice assessments do not allow students to elaborate on their answer arguments because they are evaluated simply on ...
Nurul Zawiyah, Mohamad +3 more
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Deep Learning Approaches for Condition Monitoring and Prognostic Analysis
, 2021 Predictive analytics is a technique to make predictions about future unknown events by analyzing current and historical data. The market for predictive analysis is expected to reach $12.4 billion in 2022.
Shi, Zunya
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Meitian dizhi yu kantanObjectiveIn China, the deep coalbed methane (CBM) industry has emerged as a key sector for the reserve growth and production addition of natural gas. However, the current CBM technical standard system, which was developed based on shallow CBM practices ...
Xinjun CHEN +6 more
doaj +1 more source
A fast centrality-meter for heavy-ion collisions at the CBM experiment
, 2020 A new method of event characterization based on Deep Learning is presented. The PointNet models can be used for fast, online event-by-event impact parameter determination at the CBM experiment.
Omana Kuttan, Manjunath +5 more
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On the scientific exploitation of high-rank CBM resources
Natural Gas Industry B, 2020 After over 10 years' development of coalbed methane (CBM) industry in China, two industrial bases have been built, i.e., the Qinshui Basin and the Ordos Basin. However, the biggest problem that restricts the high-efficiency development of CBM industry in
Qingzhong Zhu +7 more
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AlgorithmsMachine learning algorithms have become essential tools in modern physics experiments, enabling the precise and efficient analysis of large-scale experimental data. The Compressed Baryonic Matter (CBM) experiment at the Facility for Antiproton and Ion Research (FAIR) demands innovative methods for processing the vast data volumes generated at high ...
Ivan Kisel, Robin Lakos, Gianna Zischka
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Geological control of differential enrichment of deep coalbed methane in the Ordos Basin
Meitan kexue jishuThe deep coalbed methane (CBM) resources in the Ordos Basin are abundant and have great development potential, making it the main battlefield for exploration and development of deep CBM in China.
Liyong FAN +9 more
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CBM-IDS: An Advanced Hybrid Deep Learning Model for DDoS Attack Detection in IoT Networks
JUCS - Journal of Universal Computer ScienceThe rapid expansion of IoT devices has transformed industries while simultaneously introducing critical security vulnerabilities, particularly Distributed Denial-of-Service (DDoS) attacks that exploit the constrained resources of IoT systems. To address this challenge, a novel intrusion detection system (CBM-IDS) is proposed for the effective ...
Hamdullah Karamollaoglu +4 more
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Progress and Prospect of Researches on Drilling Fluid Technology for Deep CBM Drilling
Zuanjingye yu wanjingyeDeep coalbed methane (CBM) has become an important part of unconventional natural gas resource development. CBM reservoirs are characteristic of strong heterogeneity, developed cleavage and microfractures, and low mechanical strength etc., which always ...
Hongjun LU +7 more
doaj +1 more source
Quantitative Evaluation of “Four Qualities” in Deep CBM Using Logging Data
Journal of Physics: Conference SeriesAbstract The four qualities of deep CBM (CBM resources buried depth greater than 2000 m), including coal rock quality, reservoir quality, well completion quality, and coal seam roof and floor quality, are important factors that determine the degree of coal rock gas enrichment, preservation conditions, and effective mining.
Ping Yan +9 more
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