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SSPS 2026: International Symposium on Signal Processing Systems

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截稿日期:
2026-03-20 Extended
通知日期:
2026-04-15
会议日期:
2026-05-08
会议地点:
Bangkok, Thailand
届数:
8
浏览: 20104   关注: 9   参加: 4

会伴指数 (CP-I)

48.0 / 100
全站第 2,068 名 / 共 5,684 个会议 · 前 37%

电气与电子工程 第 137 / 510

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%)
59
社区关注 (10%)
34
资料公开度 (15%)
35

用到的输入: 有据可查的届次：8 · 在会伴关注它的研究者：9 人 · 过去 24 个月打开过本页的研究者：4 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 45% —— 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 2026-09-24

征稿

SSPS 2026 (International Symposium on Signal Processing Systems) is an academic conference held in Bangkok, Thailand on 2026-05-08. The paper submission deadline is 2026-03-20 (extended). Acceptance notifications are sent on 2026-04-15.

The topics are not limited to those as below: Machine Learning for Signal Processing Deep learning/machine learning/AI algorithms Tools/platforms for AI Edge and cloud AI computing platforms Hardware/neuromorphic accelerators Hardware/software co-design and automation for AI Design Methods of Signal Processing Systems Optimization of signal processing algorithms Compilers and tools for signal processing systems Algorithm-to-architecture transformation Dataflow-based design methodologies Error-tolerant techniques for signal processing Signal Processing Application Systems Audio, speech, and language processing Biomedical signal processing and bioinformatics Image, video, and multimedia signal processing Information forensics, security, and cryptography Sensing and sensor signal processing Signal processing for non-volatile memory systems Latency-and power-constrained signal processing Wireless communications and MIMO systems Coding and compression Signal processing for mixed-signal technologies Data Fusion and Intelligent Control Optimal Control Nonlinear Systems and Control Adaptive Control and Learning Control Deep learning method Industrial Artificial Intelligence AI-based Control, Intelligent Control Network Intelligence and Network Control Transport Control Theory and Methodologies Multi-sensor data fusion model Statistical estimation algorithms for information fusion Model-order reduction techniques for information fusion
由 Dunn Carl 最后更新于

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