In this paper the behavior of three combinational rules for temporal/sequential attribute data fusion for target type estimation are analyzed. The comparative analysis is based on: Dempster's fusion rule proposed in Dempster-Shafer Theory; Proportional Conflict Redistribution rule no. 5 (PCR5), proposed in Dezert-Smarandache Theory and one alternative class fusion rule, connecting the combination rules for information fusion with particular fuzzy operators, focusing on the t-norm based Conjunctive rule as an analog of the ordinary conjunctive rule and t-conorm based Disjunctive rule as an analog of the ordinary disjunctive rule. The way how different t-conorms and t-norms functions within TCN fusion rule influence over target type estimation performance is studied and estimated.
Vision Transformer for Intracranial Hemorrhage Classification in CT Scans Using an Entropy-Aware Fuzzy Integral Strategy for Adaptive Scan-Level Decision Fusion
School of Electrical and Computer Engineering, College of Engineering, University of Tehran（塔里斯坦大学电气与计算机工程学院）；Department of Computer Science and Engineering, Sejong University（世宗大学计算机科学与工程系）
STNet: Deep Audio-Visual Fusion Network for Robust Speaker Tracking
College of Computer Science and Technology, Taiyuan University of Technology（太原理工大学计算机科学与技术学院）；Peking University（北京大学）；Westlake University（西湖大学）；Westlake Institute for Advanced Study（西湖高等研究院）
Robust Fuzzy Multi-view Learning under View Conflict
College of Computer Science, Sichuan University（四川大学计算机学院）；Tianfu Jincheng Laboratory（天府锦城实验室）；School of Artificial Intelligence, Sichuan University（四川大学人工智能学院）
Dynamic Knowledge Fusion for Multi-Domain Dialogue State Tracking
School of Computer Science and Technology, Xinjiang University（新疆大学计算机科学与技术学院）；Institute of Artificial Intelligence (TeleAI), China Telecom Corp Ltd（中国电信人工智能研究院（TeleAI））
LGBP-OrgaNet: Learnable Gaussian Band Pass Fusion of CNN and Transformer Features for Robust Organoid Segmentation and Tracking
School of Optoelectronic Science and Engineering（光电科学与工程学院）；Translational Chinese Medicine Key Laboratory of Sichuan, Sichuan-Chongqing Joint Key Laboratory of innovation of New Drugs of Traditional, Chinese Medicine Sichuan Institute for Translational Chinese Medicine（四川 translational 中医关键实验室，四川-重庆联合新药创新中药关键实验室，四川 translational 中医研究所）；Sichuan Cancer Hospital and Institute（四川癌症医院与研究所）
Efficient Context and Schema Fusion Networks for Multi-Domain Dialogue State Tracking
State Key Laboratory of Media Convergence Production Technology and Systems（媒体融合生产技术与系统国家重点实验室）；MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University（上海交通大学人工智能研究院人工智能教育部重点实验室）；SpeechLab, Department of Computer Science and Engineering（计算机科学与工程系语音实验室）；Shanghai Jiao Tong University（上海交通大学）
IMMNet: Hybrid Fusion of Model-based and Data-driven Approaches for Maneuvering Target Tracking
School of Automation, Southeast University（东南大学自动化学院）；School of ICE, University of Electronic Science and Technology of China（电子科技大学信息与通信工程学院）；Faculty of Artificial Intelligence, Shanghai University of Electric Power（上海电力大学人工智能学院）；School of Automation and Intelligent Sensing, Shanghai Jiao Tong University（上海交通大学自动化与智能感知学院）
