SLIME

作品数:48被引量:83H指数:5
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相关领域:医药卫生更多>>
相关作者:李贵平更多>>
相关机构:上海天祥质量技术服务有限公司华中师范大学更多>>
相关期刊:《化工管理》《Journal of Agricultural Science and Technology(B)》《Waste Disposal and Sustainable Energy》《Systems Microbiology and Biomanufacturing》更多>>
相关基金:国家自然科学基金国家重点基础研究发展计划国家科技支撑计划美国国家科学基金更多>>
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The effect of slime accumulated in a long-term operating UASB using crude glycerol to treat S-rich wastewater
《Journal of Environmental Sciences》2024年第1期353-366,共14页Xudong Zhou Eva Fernández-Palacios Antoni DDorado Javier Lafuente Xavier Gamisans David Gabriel 
the Spanish Government,through the project RTI2018-099362-B-C21 MINECO/FEDER,EU,for the financial support provided to perform this research;the China Scholarship Council (CSC,201706300052)for financial support。
An up-flow anaerobic sludge blanket(UASB)reactor targeting sulfate reduction was operated under a constant TOC/S-SO2-4ratio of 1.5±0.3 g C/g S for 639 days using crude glycerol as carbon source.A filamentous and fluf...
关键词:Sludge flotation Granular sludge Slime-like substances Glycerol fermentation Sulfate reduction Removal efficiency 
Boosting Kernel Search Optimizer with Slime Mould Foraging Behavior for Combined Economic Emission Dispatch Problems被引量:1
《Journal of Bionic Engineering》2023年第6期2863-2895,共33页Ruyi Dong Lixun Sun Long Ma Ali Asghar Heidari Xinsen Zhou Huiling Chen 
This research was supported by the Science&Technology Development Project of Jilin Province,China(YDZJ202201ZYTS555);the Science&Technology Research Project of the Education Department of Jilin Province,China(JJKH20220244KJ)。
Reducing pollutant emissions from electricity production in the power system positively impacts the control of greenhouse gas emissions.Boosting kernel search optimizer(BKSO)is introduced in this research to solve the...
关键词:Combined economic emission dispatch Kernel search optimization Slime mould algorithm Valve point effect Greenhouse gases 
Illumination-Free Clustering Using Improved Slime Mould Algorithm for Acute Lymphoblastic Leukemia Image Segmentation被引量:1
《Journal of Bionic Engineering》2023年第6期2916-2934,共19页Krishna Gopal Dhal Swarnajit Ray Sudip Barik Arunita Das 
This work has been partially supported with the grant received in research project under RUSA 2.0 component 8,Govt.of India,New Delhi.
Partitional clustering techniques such as K-Means(KM),Fuzzy C-Means(FCM),and Rough K-Means(RKM)are very simple and effective techniques for image segmentation.But,because their initial cluster centers are randomly det...
关键词:Pathology image Image segmentation CLUSTERING Color space White blood cell Optimization Swarm intelligence Fuzzy clustering Rough clustering 
Influence of Limestone Addition on Combustion and Emission Characteristics of Coal Slime in the 75 t/h CFB Boiler with Post-Combustion Chamber被引量:3
《Journal of Thermal Science》2023年第5期1849-1857,共9页WANG Chao SONG Guoliang YANG Zhao XIAO Yuan YANG Xueting JI Zengcai LYU Qinggang 
financially supported by the"Transformational Technologies for Clean Energy and Demonstration",Strategic Priority Research Program of the Chinese Academy of Sciences,Grant No.XDA21040100。
Coal slime can be disposed in quantity and fully utilized in a well-designed circulating fluidized bed(CFB)boiler,but the nitrogen oxides(NO_(x))and sulphur dioxide(SO_(2))emissions generated in the combustion of coal...
关键词:coal slime CFB boiler NO_(x) SO_(2) LIMESTONE simultaneous removal 
Statistical Data Mining with Slime Mould Optimization for Intelligent Rainfall Classification
《Computer Systems Science & Engineering》2023年第10期919-935,共17页Ramya Nemani G.Jose Moses Fayadh Alenezi K.Vijaya Kumar Seifedine Kadry Jungeun Kim Keejun Han 
This research was partly supported by the Technology Development Program of MSS[No.S3033853];by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(No.2021R1A4A1031509).
Statistics are most crucial than ever due to the accessibility of huge counts of data from several domains such as finance,medicine,science,engineering,and so on.Statistical data mining(SDM)is an interdisciplinary dom...
关键词:Statistical data mining predictive models deep learning rainfall prediction parameter tuning 
An Improved Elite Slime Mould Algorithm for Engineering Design被引量:1
《Computer Modeling in Engineering & Sciences》2023年第10期415-454,共40页Li Yuan Jianping Ji Xuegong Liu Tong Liu Huiling Chen Deng Chen 
supported in part by the National Natural Science Foundation of China(J2124006,62076185)。
The Swarm intelligence algorithm is a very prevalent field in which some scholars have made outstanding achievements.As a representative,Slime mould algorithm(SMA)is widely used because of its superior initial perform...
关键词:Slime mould algorithm metaheuristic algorithm continuous optimization chaos random strategy engineering design 
Biomimetic amelioration of zirconium nanoparticles on a rigid substrate over viscous slime--a physiological approach
《Applied Mathematics and Mechanics(English Edition)》2023年第9期1563-1576,共14页S.I.ABDELSALAM A.Z.ZAHER 
Fundación Mujeres poráfrica for supporting this work through the fellowship awarded to her in 2020。
In this article,an investigation is conducted to study the precise role of zirconium nanoparticles that exist in a slime-like fluid subject to specific adjustments.Since gliding is a technique of mobility used by bact...
关键词:zirconium nanoparticle gliding bacterium Grashof heat transfer glider's speed Rabinowitsch fluid 
Hyperspectral Remote Sensing Image Classification Using Improved Metaheuristic with Deep Learning被引量:1
《Computer Systems Science & Engineering》2023年第8期1673-1688,共16页S.Rajalakshmi S.Nalini Ahmed Alkhayyat Rami Q.Malik 
Remote sensing image(RSI)classifier roles a vital play in earth observation technology utilizing Remote sensing(RS)data are extremely exploited from both military and civil fields.More recently,as novel DL approaches ...
关键词:Deep learning remote sensing images image classification slime mould optimization parameter tuning 
IBMSMA: An Indicator-based Multi-swarm Slime Mould Algorithm for Multi-objective Truss Optimization Problems被引量:2
《Journal of Bionic Engineering》2023年第3期1333-1360,共28页Shihong Yin Qifang Luo Yongquan Zhou 
supported by the National Science Foundation of China under Grant No.U21A20464,62066005;Innovation Project of Guangxi University for Nationalities Graduate Education under Grant gxun-chxs2021058.
This work proposes an improved multi-objective slime mould algorithm, called IBMSMA, for solving the multi-objective truss optimization problem. In IBMSMA, the chaotic grouping mechanism and dynamic regrouping strateg...
关键词:Slime mould algorithm Shift-based density estimation Multi-swarm strategy Multi-objective optimization Truss optimization 
Elman neural network for predicting aero optical imaging deviation based on improved slime mould algorithm
《Optoelectronics Letters》2023年第5期290-295,共6页XU Liang WANG Luyang XUE Wei ZHAO Shiwei ZHOU Liye 
supported by the National Natural Science Foundation of China (Nos.61975151 and 61308120)。
This research suggests a methodology to optimize Elman neural network based on improved slime mould algorithm(ISMA) to anticipate the aero optical imaging deviation.The improved Tent chaotic sequence is added to the S...
关键词:NEURAL ELMAN NETWORK 
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