会议信息
FUTURE COMPUTING 2021: International Conference on Future Computational Technologies and Applications
https://www.iaria.org/conferences2021/FUTURECOMPUTING21.html
截稿日期:
2021-01-19
通知日期:
2021-02-28
会议日期:
2021-04-18
会议地点:
Porto, Portugal
届数:
13
浏览: 12292   关注: 0   参加: 0

征稿
FUTURE COMPUTING 2021 , The Twelfth International Conference on Future Computational Paradigms and Applications, targets advanced computational paradigms and their applications. The target is to cover (i) the advanced research on computational techniques that apply the newest human-like decisions, and (ii) applications on various domains. The new development led to special computational facets on mechanism-oriented computing, large-scale computing and technology-oriented computing. They are largely expected to play an important role in cloud systems, on-demand services, autonomic systems, and pervasive applications and services.

FUTURE COMPUTING 2021 is aimed at technical papers presenting research and practical results, industrial small- and large-scale systems, challenging applications, position papers addressing the pros and cons of specific topics, such as those being discussed in the standard fora or in industry consortia, survey papers addressing the key problems and solutions on any of the topics, short papers on work in progress, and panel proposals.

We solicit both academic, research, and industrial contributions. We welcome technical papers presenting research and practical results, position papers addressing the pros and cons of specific proposals, such as those being discussed in the standard fora or in industry consortia, survey papers addressing the key problems and solutions on any of the above topics short papers on work in progress, and panel proposals.

Industrial presentations are not subject to the format and content constraints of regular submissions. We expect short and long presentations that express industrial position and status.

Tutorials on specific related topics and panels on challenging areas are encouraged.

The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

All topics and submission formats are open to both research and industry contributions.

FUTURE COMPUTING 2021 conference tracks:

Trends in future computing and applications

Reflective computing; Dependable computing; Urban computing; Big data-oriented computing; Fog-computing; Mobile Edge Computing; Computing high speed sensing data; High-performance computing; Neural computing; Soft Computing; Spatial Computing; Computing in Internet of Thinks (IoT)-based environments; Computing with sparse, big and huge data

Future computing challenges

Truthful Mechanisms; Indistinguishable obfuscation; Succinct histograms; Optimal data-dependent computation; Convergence of fast computations; Approximation algorithms; Delegating computations; Generalized flow maximization; Interactive coding; Optimal error rates; Combinatorial problems; Approximation and optimization schemes; Randomized compositions; Polynomial-time approximation; Polynomial complexity; Optimal resilience; Adaptive data analysis computation; Bounding programming relaxations; Deniable encryption; Sparse dimensionality reduction; Exponential improvement in precision

Computational intelligence strategies

Cognitive computing; Intelligent computation; Ambient computing; Unconventional computing; Indeterminist computing; Adaptive computation; Autonomic computation; Computation under uncertainty; Chaotic computation; Intentional computing; Anticipative computing; Evolutionary computing

Mechanism-oriented computing

Spatial computation; Elastic computing; Human-centered computing; Embedded computing; Entertainment computing; Time-sensitive/temporal computing; Soft computing (fuzzy logic, neural computing, evolutionary computation, machine learning, and probabilistic reasoning + belief networks, + chaos theory + learning theory)

Large-scale computing strategies

Distributed computing; Parallel computing; Macro- and micro-computing; Activity-based computing; Data intensive computing; Resource-constraint computing; Grid computing; Cloud computing; Cluster computing; On-demand computing; Ubiquitous/pervasive computing; Memristor Computing; Unconventional computing; Evolutionary computing

Computing technologies

Quantum computing; Optical computing; DNA (genetic) computing; Molecular computing; Reversible computing; Billiard Ball computing; Neuronal computing; Magnetic computing; Gloopware computing; Moldy computing; Water wave-based computing; Graphene-based computing

Quantum Computing

Quantum computing models; Quantum complexity theory; Qubits; Non-deterministic and Probabilistic Computers; Quantum algorithms; Quantum computational operations; Scalable quantum computing; Quantum teleportation; Quantum cryptography; Quantum simulation; Quantum decoherence; Quantum gravity; Physical implementation of quantum computers

Technology-oriented computing

Peer-to-Peer computing; Mobile computing; Sensor-based computing; Wireless computing; Trusted computing; Financial computing; Genetic computation
最后更新 Dou Sun 在 2020-12-05
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