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SYNASC 2021: International Symposium on Symbolic and Numeric Algorithms for Scientific Computing

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SYNASC
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투고 마감일:
2021-08-31
통보일:
2021-09-30
개최일:
2021-12-07
개최지:
Timisoara, Romania
개최 횟수:
23
조회: 26549   팔로우: 0   참가: 0

회반 지수 (CP-I)

49.4 / 100
전체 5,682개 중 1,702위 · 상위 30%

이론·알고리즘 분야 142개 중 76위 시스템·아키텍처 분야 341개 중 165위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
86
커뮤니티 관심도 (10%)
10
공개 자료 충실도 (15%)
25

사용한 입력: 확인되는 개최 횟수: 23 · 지난 24개월 동안 이 페이지를 연 연구자: 3명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0) · 최우수 논문 기록 (+2.3)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 45% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-14

논문 모집

SYNASC 2021 (International Symposium on Symbolic and Numeric Algorithms for Scientific Computing) is an academic conference held in Timisoara, Romania on 2021-12-07. The paper submission deadline is 2021-08-31. Acceptance notifications are sent on 2021-09-30.

=== Tracks === * Symbolic Computation + computer algebra + symbolic techniques applied to numerics + hybrid symbolic and numeric algorithms + numerics and symbolics for geometry + programming with constraints, narrowing * Numerical Computing + iterative approximation of fixed points + solving systems of nonlinear equations + numerical and symbolic algorithms for differential equations + numerical and symbolic algorithms for optimization + parallel algorithms for numerical computing + scientific visualization and image processing * Logic and Programming + automatic reasoning + formal system verification + formal verification and synthesis + software quality assessment + static analysis + timing analysis * Artificial Intelligence + knowledge discovery, representation, and management + automated reasoning, uncertain reasoning, and constraint strategies + recommender and expert systems + intelligent systems, agents, and networks + agent-based complex systems + AI-based systems for scientific computing + machine learning, including deep learning models and technologies + explainable and trustworthy AI + information retrieval, data mining, text mining and web mining + computational intelligence - including fuzzy, neural and evolutionary computing + AI applications: natural language processing, computer vision, signal processing, stock market, computational neuroscience, robotics, autonomous vehicles, medical diagnosis, cybersecurity, digital design, online education * Distributed Computing + modelling of parallel and distributed systems + parallel and distributed algorithms + architectures for parallel and distributed systems. + applications for parallel and distributed systems, + acceleration of AI or Big Data applications using distributed and parallel computing + networked intelligence and Internet of Things * Theory of Computing + data structures and algorithms + combinatorial optimization + formal languages and combinatorics on words + graph-theoretic and combinatorial methods in computer science + algorithmic paradigms, including distributed, online, approximation, probabilistic, game-theoretic algorithms + computational complexity theory, including structural complexity, boolean complexity, communication complexity, average-case complexity, derandomization and property testing + logical approaches to complexity, including finite model theory + algorithmic and computational learning theory + aspects of computability theory, including computability in analysis and algorithmic information theory + proof complexity + computational social choice and game theory + new computational paradigms: CNN computing, quantum, holographic and other non-standard approaches to computability + randomized methods, random graphs, threshold phenomena and typical-case complexity + automata theory and other formal models, particularly in relation to formal verification methods such as model checking and runtime verification + applications of theory, including wireless and sensor networks, computational biology and computational economics + experimental algorithmics
최종 수정: Dou Sun ()

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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Journal of Scientific Computing3.3Springer0885-7474
Scientific Data6.9Springer2052-4463
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

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