会议信息

ICML' 2024: International Conference on Intelligent Communication and Machine Learning

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截稿日期:
2024-09-30
通知日期:
2024-10-07
会议日期:
2024-11-22
会议地点:
Tokyo, Japan
浏览: 7007   关注: 0   参加: 0

会伴指数 (CP-I)

43.6 / 100
全站第 3,431 名 / 共 5,682 个会议 · 前 61%

人工智能与机器学习 第 421 / 739 网络与通信 第 537 / 864

证据有限：这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里，也没有录用率数据，因此分数的大部分回落到了中性基准。
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
8
资料公开度 (15%)
35

用到的输入: 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 25% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-19

征稿

ICML' 2024 (International Conference on Intelligent Communication and Machine Learning) is an academic conference held in Tokyo, Japan on 2024-11-22. The paper submission deadline is 2024-09-30. Acceptance notifications are sent on 2024-10-07.

Intelligent and Semantic Communications Source and Channel Coding for Semantic Communications Age of Information and Data Semantics Resource Management in Semantic Communications Networks Communication and Control Co-Design User Privacy and Security Energy Aspects for Semantic Communications Semantic Communications in Emerging Wireless Networks Integration of Data Semantics with Network Softwarization Telecommunication Systems Adaptive communications Channel estimation Cognitive vehicular ad hoc networks Cooperative communications Channel coding Interference management Massive mimo systems Modulation techniques Mimo systems Novel applications enabled by telecommunication networking systems Ofdm communications Power line communication Satellite communication Spread-spectrum communications Uwb communications Wireless broadcasting Wireless communication Next Generation Communication And Networking Networking for Cloud and Fog computing Mobile Cloud Computing (MCC) and Multi-access Edge Computing (MEC) Data center network architectures and performance Integrated networking, storage, and computing Networking flying vehicles such as UAVs and drones Networked and Cloud Robotics Next-generation access networks Next-generation flow management: resource sharing, congestion control Converged networks and applications Internet of Things (IoT), M2M, D2D, MTC Future Internet and next-generation networking architectures Mobile security: device, application, and data Optical Communication and Machine Learning Optical Communication Technology and Applications Optical Communication Systems and Networks Optical signal processing Fiber optic communication Optical integration technology Space optical communication The Application of Machine Learning in Optical Communication Intelligent Optical Network Optical communication signal processing Performance evaluation of optical communication Optical communication security Adaptive learning of optical communication systems Optical Communication and Quantum Computing Optical Communication and Internet of Things Optical Communication and Artificial Intelligence Application examples of machine learning algorithms in optical communication Integration of optical communication and machine learning software and hardware Optical communication standards and protocols Deep Learning and Machine Learning Learning Theory Learning Robots Artificial Neural Network (ANN) Learning/Adaption of Recognition and Perception Least-squares SVM (LS-SVM) Machine Learning for Signal Processing Machine Learning Methods Kernel Design Kernel Methods and Graphical Models Learning and Adaptive Control Learning for Handwriting Recognition Learning in Process Automation Learning of Action Patterns Learning of Appropriate Behavior Neural Methods Neural Networks Sparsity-Aware Learning Subspace/Manifold Learning Support Vector Machines (SVM) Learning for Handwriting Recognition Twin SVM (TWSVM) Network Analysis and Intrusion Detection Bayesian and Distributed Learning Machine Learning and Intelligent Communications Intelligent cooperative networks Intelligent massive MIMO communication systems Intelligent positioning and navigation systems Intelligent cooperative/distributed coding Intelligent radar signal processing & satellite communications Machine learning algorithms & cognitive radio networks Machine learning and information processing in wireless sensor networks Federated learning for wireless communication systems Federated learning applications Spacecraft & Space Network Pre-trained technology in communications Machine Learning & Network Security Image Processing & Pattern Recognition for Intelligent Communications Natural Language Processing for Communication Systems Multi-Modality Learning in Intelligent Communication Applications
由 Dou Sun 最后更新于

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