Scope
The requirements demands in problem solving have been increasingly in demand in exponential way. The new technologies in computer science and engineering have reduced the dimension of data coverage worldwide. The digging of information in a large data, and the soft-computing techniques have contributed a strength in prediction, analysis, and decision potentials in the niche areas such as Computer Science, Engineering, Management, Social Computing, Green Computing, Aviation, Finance, Telecom etc. Nurturing the research in Engineering and Computing are evident that finding a right pattern in the ocean of data.
The EAI International Conference on Computer Science: Applications in Engineering and Health Services (COMPSE 2019) highlights the latest research innovations and applications of algorithms designed for optimization applications within the fields of Science, Computer Science, Engineering, Information Technology, Management, Finance and Economics and Health Systems. Focusing on a variety of methods and systems as well as practical examples, this conference is a significant resource for post graduate-level students, decision makers, and researchers in both public and private sectors who are seeking research-based methods for modelling uncertain and unpredictable real-world problems.
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Topics
The works that will be presented at COMPSE 2019 will focus on the following topics:
1. Computer Science:
Information Technology
Green Computing
Machine Learning
Smart Computing
Predictive Analysis
Mobile Programming
Big Data
Computer Architecture
Computational & Synthetic Biology
Computer Graphics, Vision, Animation, and Game Science
Computing for Development
Data Management
Human Computer Interaction
Natural Language Processing
Programming Languages and Software Engineering
Robotics
Security & Privacy
Systems and Networking
Theory of Computation
Ubiquitous Computing
Wireless and Sensor Systems
Using IT to Reduce Carbon Emissions
Energy-aware Computing
Smart Grid and micro grids
Sustainable Computing
Computing and Company Social Responsibility
2. Optimization
Mathematical Programming
Continues Optimization
Combinatorial Optimization
Discret Optimization
Ant Colony Optimization
Fuzzy Logic
Genetic Algorithm
Genetic Programming
Variable Neighbourhood Search
Support Vector Machine
Cuckoo Search
Simulated Annealing
Bat Algorithm
Differential Evolution
Robust Solutions and Robust Optimization
Online Optimization
Holistic Optimization
Meta-Heuristics and Stochastic Optimization
Optimization in video Games
Surrogate-Assisted Optimization
Dynamic Optimization
Network Design Optimization
Optimization of Energy-Efficient Protocols
Optimization and Natural Inspired Algorithms
3. Health Systems:
Simulation in Methods in Health Services Research: Applications for Policy, Management and Practice
Integrating Mixed Methods in Health Services and Delivery System Research
Incentives for Physicians
The Need for State Health Services and Policy Research
Health Information Technology
Research in Public Health Systems and Services Research
Financing Health systems
Remote medical assistance
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Publication
All accepted and presented papers will be published by Springer and made available through SpringerLink Digital Library.
Proceedings will be submitted for inclusion to the leading indexing services: EI, ISI Thomson’s Scientific and Technical Proceedings at Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).
Additionally, selected papers will be considered to be included in the following EAI Transactions:
– EAI Endorsed Transactions on Energy Web and Information Technologies
– EAI Endorsed Transactions on Pervasive Health and Technology