2024年国际生命系统建模与仿真会议（LSMS2024）和2024年可持续能源与环境智能计算国际会议（ICSEE2024）
会议信息
会议地点：苏州，中国
网址：http://www.lsms-icsee.cn/index.html
邮箱：lsms_icsee2024@163.com
投稿主题：注明主题+通讯作者姓名
会议简介：
2024年国际生命系统建模与仿真会议（LSMS2024）和2024年可持续能源与环境智能计算国际会议（ICSEE2024）旨在汇集全球生命系统建模与仿真领域的研究人员和实践者，以及智能计算理论与方法在可持续能源和环境领域的应用。这些活动是在过去几年中成功举办的LSMS和ICSEE系列会议的基础上发展而来，这些会议曾分别在中国的多个城市举办。LSMS会议于2004年、2007年、2010年、2014年、2017年和2021年在上海、无锡、南京和杭州举办，而ICSEE会议则于2010年、2012年、2014年、2017年、2018年和2021年在无锡、上海、南京、重庆和杭州举办。会议基于中国和英国在可持续能源领域的大型合作项目，通过主题演讲、小组讨论、特别会议、创新工坊和比赛以及海报展示来促进研究领域内的技术交流。此外，参与者还将有机会参加一系列社交活动、招待会和网络会议，这有助于建立新的联系、培养友谊，并促进合作伙伴关系及合作。
论文收录：
所有接受的论文将在会议记录中发表，检索收录为EI
论文主题
A. COMPUTATIONAL METHODS AND INTELLIGENCE IN
LIFE SYSTEM MODELLING AND SIMULATION（智能计算方法及生命系统与仿真）
A1 Biological and biomedical data integration, mining and visualization
A2 Biomedical signal processing, imaging, and visualization
A3 Biorobotics, surgical robotics and surgical planning
A4 Brain stimulation, neural dynamics and neural Interfacing
A5 Computational intelligence in bioinformatics and biometrics
A6 Computational methods and intelligence in modelling genetic
and chemical networks and regulation
A7 Computational methods and intelligence in modelling molecular,
cellular and multi-cellular behaviour and dynamics
A8 Computational methods and intelligence in organism modeling
A9 Computational methods and intelligence in ontology and taxonomy study and
drug design
A10 Computational methods and intelligence in modelling and design of synthetic
biological systems
A11 Computational methods and intelligence in biomechanical systems, tissue
engineering and clinical bioengineering
A12 High performance bio-computing
A13 Modelling software and makeup language in systems biology
A14 Intelligent medical apparatus and clinical applications
A15 Intelligent design of biochips, bioinstrumentations
A16 Modelling and simulation of societies and collective behaviour
A17 Innovative education in systems modeling and simulation
B. INTELLIGENT COMPUTING AND NET-ZERO APPLICATIONS, INCLUDING
SUSTAINABLE ENERGY AND ENVIROMENT （智能计算与零碳应用）
B1 Advanced neural network theory and algorithms, including deep neural
networks and graph neural networks, and their applications
B2 Advanced evolutionary computing theory and algorithms, including
multi-objective optimization algorithms, and their applications
B3 Advanced theory and methodology in fuzzy systems and soft computing, and
their applications
B4 Autonomy-oriented computing and multi-agents, and their applications
B5 Fuzzy, neural, and fuzzy-neuro hybrids and their applications
B6 Intelligent modelling, monitoring, and control of complex nonlinear systems
and their applications
B7 Computational intelligence in production and utilization of clean and renewable
power and energy resources, including fuel cell, hydrogen, solar and wind
power, wave and tidal power, and biomass
B8 Intelligent methods for energy saving and pollution reduction in manufacturing
B9 Intelligent methods in developing
electric vehicles, engines and equipment to
support transport decarbonization
B10 Intelligent methods in power and energy operation and infrastructure
development with significant penetration of renewable energy and mass
roll-out of electric vehicles
B11 Intelligent computing in operation and control of distributed power generation
systems including microgrids
B12 Intelligent methods in modeling, simulation and control of
power electronics
and power networks to support sector decarbonization
B13 Intelligent methods in road management and electricity market to support
decarbonization
B14 Intelligent methods for building energy management and decarbonization
B15 Intelligent modeling and simulation of climate change
B16 Intelligent water treatment and waste management technologies
B17 Innovative education to support net zero transition
B18 Intelligent autonomous systems and intelligent robotic systems
B19 Industrial inn power, transport, manufacturing, construction, buildings and farms. ovations in accelerating decarbonization in all sectors, such as power, transport, manufacturing, construction, buildings and farms.
C. COMPUTATIONAL BIOMEDICINE （计算生物医学）
C1 Biological and brain networks
C2 Data analysis and data mining of biosignals
C3 Biomarker discovery
C4 Feature selection
C5 Computational neuroscience
C6 Robust optimization and data analysis
C7 Genome data analysis
C8 Molecular conformation and protein folding
C9 Biocomputing
当前位置：首页