Showing 1,441 - 1,460 results of 3,741 for search '(( (resources OR resources) utilization function ) OR ( sources utilization function ))', query time: 0.15s Refine Results
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    Mechanisms for selective flotation separation of chalcopyrite and molybdenite using the novel depressant 2-(carbamimidoylthio)acetic acid: Experimental and DFT study by Xiangwen Lv, Anruo Luo, Xiong Tong, Jianhua Chen, Sheng Jian

    Published 2025-05-01
    “…This advancement addresses critical challenges in processing complex ores, offering environmental and economic benefits through reduced reagent consumption and improved resource utilization efficiency.…”
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    Microwave-sonication synergistic extraction of dairy waste proteins: A review of green approach for dairy waste proteins valorization by Muhammad Waseem, Muhammad Rizwan Javed, Khubaib Ali, Muhammad Saleem, Muhammad Faisal Manzoor, Muhammad Farhan, Robert Mugabi, Aanchal Sharma, Gulzar Ahmad Nayik

    Published 2024-12-01
    “…In conclusion, this review elucidates the US-MW, both individually and in synergy as a viable source of dairy waste proteins extraction and their application in functional foods. …”
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    Multi-Objective Ore Blending Optimization for Polymetallic Open-Pit Mines Based on Improved Matter-Element Extension Model and NSGA-II by Jun Xiang, Jianhong Chen, Aishu Zhang, Xing Zhao, Shengyuan Zhuo, Shan Yang

    Published 2025-05-01
    “…With the increasing demand for mineral resources, sustainable mining development faces challenges such as low resource utilization efficiency. …”
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    High-Performance Deployment Operational Data Analytics of Pre-Trained Multi-Label Classification Architectures with Differential-Evolution-Based Hyperparameter Optimization (AutoDE... by Teo Prica, Aleš Zamuda

    Published 2025-05-01
    “…This article presents a high-performance-computing differential-evolution-based hyperparameter optimization automated workflow (AutoDEHypO), which is deployed on a petascale supercomputer and utilizes multiple GPUs to execute a specialized fitness function for machine learning (ML). …”
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    Design and Application of Water Conservancy Model Management Service Platform by TIAN Maochun, ZOU Xianyong, YANG Yue, HE Qilian

    Published 2022-01-01
    “…The current water conservancy model cannot realize unified access and use,and the computing efficiency of multiple users,models,and schemes is low.In addition,the ability of sharing applications deeply bound with the system is weak.Therefore,the model fails to meet the requirements of intelligent water conservancy and digital twin watershed construction.In view of this,this paper designs a water conservancy model management service platform and applies it to practice.First,different types of water conservancy models are integrated,and their service interfaces are standardized,so as to uniformly receive model calculation service parameters and data in different formats and then convert them into required formats through platform adaptation,which avoids the problem of difficult unified invocation caused by differences in the interfaces of each model.Second,model computing resources are deployed and managed in a unified manner,and model calculation requests are distributed to different servers for calculation through task scheduling,so as to improve the resource utilization rate and reduce calculation time.Finally,a water conservancy model management service platform is developed,which integrates model management,model service,and model assembly functions,so as to provide the application system with model computing service.The application of multiple projects shows that the platform can integrate and share the resources of water conservancy models,give full play to the smart function,and provide support for the construction of intelligent water conservancy and digital twin watersheds.…”
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    Green communication and networking for Carbon-peaking and Carbon-neutrality: challenges and solutions by Zhisheng NIU, Sheng ZHOU, Yuxuan SUN

    Published 2022-02-01
    “…Driven by the Carbon-peaking and Carbon-neutrality strategic goals, future mobile communication and networks need to drastically reduce energy consumption while satisfying the growing traffic demand.Therefore, it is necessary to study the theories and technologies used to send more information bits with less energy (SMILE).To meet the challenge, it was far from enough to rely solely on the improvements of wireless transmission technologies and hardware.It was necessary to explore efficient energy utilization mechanisms from the perspective of the system and network.Both energy saving and renewable energy utilization approaches were proposed, and solutions for the growing computing energy consumption were provided.Specifically, by introducing hyper-cellular network, agile coverage and elastic access were realized, and thus service base stations and edge servers could enter the sleeping mode to save energy when the traffic volume was low.Meanwhile, by the introduction of renewable energy and the smart adaption of energy flow and information flow, the energy consumption of the power grid could be greatly reduced.Furthermore, green computing and artificial intelligence could be realized through network function virtualization, energy-efficient coordination of communication and compute resources, and distributed computing and coordination approaches of moving agents.…”
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