학회 정보

ADHIP 2018: EAI International Conference on Advanced Hybrid Information Processing

학회 웹사이트를 보려면 로그인해 주세요
무료 가입으로 공식 사이트 조회, 마감 추적, 이메일 리마인더를 이용할 수 있습니다.
회원가입 로그인
마감 카운트다운 배지 삽입
ADHIP
이 데이터를 API로 가져오기
검색과 순위 목록은 자격 증명이 전혀 필요 없습니다. 이 페이지의 상세 데이터에는 무료 API 키가 필요합니다. 자세한 내용은 개발자 안내 페이지를 참고하세요.
투고 마감일:
2018-06-30 Extended
통보일:
2018-07-30
개최일:
2018-10-05
개최지:
Yiyang, China
개최 횟수:
2
조회: 14905   팔로우: 0   참가: 0

회반 지수 (CP-I)

38.0 / 100
전체 5,650개 중 5,371위 · 상위 96%
학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
30
커뮤니티 관심도 (10%)
8
공개 자료 충실도 (15%)
25

사용한 입력: 확인되는 개최 횟수: 2 · 지난 24개월 동안 이 페이지를 연 연구자: 2명

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 2026-09-04

논문 모집

ADHIP 2018 (EAI International Conference on Advanced Hybrid Information Processing) is an academic conference held in Yiyang, China on 2018-10-05. The paper submission deadline is 2018-06-30 (extended). Acceptance notifications are sent on 2018-07-30.

Scope Since information processing has acted as an important research domain in science and technology today, it is the right time to develop deeper and wider use of hybrid information processing, especially information processing for big data. Today, there are more remaining issues are waiting for solving, such as classification and systemization of big data, objective tracking and behavior understanding in big multimedia data, encoding and compression of big data, et al. These entire problems need our more attention to solve. Therefore, more effective thoughts and methods are needed to enhance theory and application of big hybrid data processing. Moreover, the use of sophisticated and robust mathematical methods are important in huge information processing, and emerging methods which can improve the efficiency of this domain are also encouraged in this conference. So, this conference aims to provide an opportunity for researchers to publish their gifted theoretical and technological studies of advanced method in big hybrid data processing, and their novel engineering applications within this domain. The main focus of this special issue will be on the state-of-the-art advances in the studies and emerging applications in following topics. Excellent review articles are also welcome. The event is endorsed by the European Alliance for Innovation, a leading community-based organisation devoted to the advancement of innovation in the field of ICT. Topics Potential topics include, but are not limited to Big data processing, which includeations for hybrid Information, which include Computational Framework and Structure for Big Data Computational Method for Big Data Fog Computation Parallel and Distributed Computing Medical Big Data Analysis and Processing Other interesting and promising domains Real applications of aspects with big data, which include Internet of Multimedia Things (IoMT) Security and Privacy protection of IoMT Behavior Understanding and Object Tracking in Big Multimedia Data Network Traffic Analysis and Measurement Big Image Data Processing Other interesting and promising domain Huge Signal Data Processing, which include Wireless Communication for Big Data Wireless Networks for Big Data Information Theory and Coding in Big Data Application Big Radar Signal Data processing Big Audio and Acoustic Signal Data Processing Industry Technology Tracks Sensor Array and Multichannel Signal Processing Big Data Processing in Satellite and Space Communications Other related methods and applications are also welcome.
최종 수정: Dou Sun ()

관련 학회

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Nonlinear Analysis: Hybrid Systems4.1Elsevier1751-570X
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
IEEE Access3.6IEEE2169-3536

댓글 0

아직 댓글이 없습니다.

댓글을 작성하려면 로그인해 주세요