作者： Lihui Ge¹;Guanqun Wang^2,1;Tong Zhang¹;Yin Zhuang¹;He Chen¹;Hao Dong³;Liang Chen¹; （¹National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology, Beijing, China ²School of Computer Science, Peking University, Beijing, China ³Center on Frontiers of Computing Studies (CFCS), Peking University, Beijing, China）

出处： IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2024 P1-15

关键词： Object detection;Feature extraction;Detectors;Training;Remote sensing;Adaptation models;Shape

摘要： Tiny object detection is one of the most difficult and critical tasks in remote sensing intelligent interpretation applications. Compared with standar ...

作者： Fuze Tian¹;Lixian Zhu¹;Qiuxia Shi²;Xiaokun Jin¹;Ran Cai¹;Qunxi Dong¹;Qinglin Zhao³;Bin Hu¹; （¹Key Laboratory of Brain Health Intelligent Evaluation and Intervention, Ministry of Education, and the School of Medical Technology, Beijing Institute of Technology, Beijing, China ²School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China ³School of Information Science and Engineering, Lanzhou University, Lanzhou, China）

出处： IEEE Transactions on Microwave Theory and Techniques 2024 Vol.72 No.3 P1900-1910

关键词： Demodulation;Baseband;Doppler effect;Biosensors;Signal to noise ratio;Heuristic algorithms;Monitoring;Dc Offset;Offset Compensation;Imbalance Correction;Dc Offset Compensation;Root Mean Square Error;Mean Square Error;Fast Fourier Transform;Phase Detection;Baseband Signal;Auxiliary Device;Frequency Range;Step Size;Performance Of Algorithm;Fundamental Frequency;Power Spectral Density;Processing Algorithms;Signal Frequency;Analog-to-digital Converter;Chest Wall;Electromagnetic Interference;Small Angle Approximation;Finite Impulse Response Filter;Empirical Mode Decomposition;Fitting Method;Phase Noise;Hz Frequency Range;Frequency Resolution;Channel Environment;Dc Component;Physical Signals

摘要： The challenge of noncontact presentation of human cardiopulmonary activity using a bioradar sensor is to linearly demodulate the Doppler cardiopulmona ...

作者： Yaochen Liu¹;Yazhou Zhang^2,3,4,5,6;Dawei Song^1,7; （¹School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China ²School of Nursing, The Hong Kong Polytechnic University, Hong Kong ³Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing University, Ministry of Education, Chongqing, China ⁴Artificial Intelligence Laboratory, China Mobile Communication Group Tianjin Company, Ltd., Tianjin, China ⁵State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China ⁶Zhengzhou University of Light Industry, Zhengzhou, Henan, China ⁷School of Computing and Communications, The Open University, Walton Hall, U.K.）

出处： IEEE Transactions on Affective Computing 2024 Vol.15 No.1 P326-341

关键词： Emotion recognition;Task analysis;Sentiment analysis;Correlation;Interference;Context modeling;Analytical models;Sentiment Analysis;Multimodal Analysis;Quantum Probability;Multimodal Emotion Analysis;Probability Theory;Classical Probability;Hilbert Space;Emotion Recognition;Density Matrix;Multi-task Learning;Graph Neural Networks;Quantum Interference;Superposition Of States;Contextual Representation;Multimodal Model;Transition Amplitude;Emotion Recognition Task;State-space System;Quantum Measurement;Multimodal Representation;Multi-task Learning Framework;Text Modality;Complex Hilbert Space;Multi-task Framework;Pre-trained Language Models;Sentiment Polarity;Analysis Tasks;Multimodal Learning;Negative Sentiment;Affective Computing

摘要： Sarcasm, sentiment, and emotion are three typical kinds of spontaneous affective responses of humans to external events and they are tightly intertwin ...

作者： Cheng Zhan¹;Han Hu²;Zhi Liu³;Jing Wang⁴;Nan Cheng⁵;Shiwen Mao⁶; （¹School of Computer and Information Science, Southwest University, Chongqing, China ²School of Information and Electronics, Beijing Institute of Technology, Beijing, China ³Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan ⁴School of Information, Renmin University of China, Beijing, China ⁵State Key Laboratory of ISN and the School of Telecommunications Engineering, Xidian University, Xi’an, China ⁶Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA）

出处： IEEE Transactions on Wireless Communications 2024 Vol.23 No.2 P1432-1446

关键词： Streaming media;Autonomous aerial vehicles;Three-dimensional displays;Quality of experience;Trajectory;Cellular networks;Urban areas;Cellular Networks;3D Network;Environment Map;Aerial Video;3D Cellular Network;Efficient Algorithm;Unmanned Aerial Vehicles;Quality Of Experience;Path Planning;Video Quality;Video Rate;Unmanned Aerial Vehicle Trajectory;Block Coordinate Descent;Baseline Schemes;Video Services;Transmission Scheduling;Neural Network;Time Duration;Grid Points;Base Station;Deep Reinforcement Learning;Unmanned Aerial Vehicle Flies;Trajectory Design;Unmanned Aerial Vehicles Operations;Complex Urban Environments;Line-of-sight Links;Achievable Rate;Objective Value;Building Height;Graph Algorithms

摘要： Aerial video streaming is a promising application of unmanned aerial vehicles (UAVs), which extends video service from ground to three-dimensional (3D ...

作者： Qingqing Tang¹;Zesong Fei¹;Bin Li²;Hanxiao Yu¹;Qimei Cui³;Jingwen Zhang¹;Zhu Han^4,5; （¹School of Information and Electronics, Beijing Institute of Technology, Beijing, China ²School of Computer Science, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China ³National Engineering Laboratory for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China ⁴Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA ⁵Department of Computer Science and Engineering, Kyung Hee University, Seoul, South Korea）

出处： IEEE Internet of Things Journal 2024 Vol.11 No.4 P5638-5652

关键词： Task analysis;Low earth orbit satellites;Satellite broadcasting;Satellites;Optimization;Resource management;Delays;Digital Networks;Edge Computing;Computation Offloading;LEO Satellite;Edge Computing Networks;Satellite Edge Computing;Resource Allocation;Total Cost;Optimization Algorithm;Computational Resources;Average Cost;Joint Optimization;Deep Reinforcement Learning;Allocation Decisions;Power Cost;Online Algorithm;Resource Allocation Decisions;Deep Reinforcement Learning Algorithm;Time-varying Channel;Satellite Networks;Computation Tasks;Mobile Edge Computing;Queue Length;Mixed-integer Nonlinear Programming;Unmanned Aerial Vehicles;Terrestrial Networks;Resource Allocation Problem;Optimal Resource Allocation;Replay Memory;Amount Of Tasks

摘要： The deployment of mobile edge computing services in LEO satellite networks achieves seamless coverage of computing services. However, the time-varying ...

作者： Chen Hou¹;Cangqi Zhou²;Chu-Ge Wu³;Rui Cong⁴;Kun Li⁵; （¹College of Information and Electrical Engineering, China Agricultural University, Beijing, China ²School of Computer Science and Engineering and the School of Artificial Intelligence, Nanjing University of Science and Technology, Nanjing, China ³School of Automation, Beijing Institute of Technology, Beijing, China ⁴School of Automation, Beijing Information Science and Technology University, Beijing, China ⁵School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin, China）

出处： IEEE Transactions on Automation Science and Engineering 2024 Vol.21 No.1 P106-122

关键词： Cloud computing;Costs;Clouds;Optimization;Correlation;Multi-agent systems;Estimation;User Data;Multi-agent Systems;User Cost;Trustworthiness Of The Data;Cloud-based System;Positive Correlation;Mathematical Model;Optimization Problem;Theoretical Foundation;Properties Of Data;Constrained Model;Optimal Trade-off;Mathematical Optimization;Cloud Environment;Average Error;Row Vector;Fuzzy Set;Class Of Agents;Smaller Error;Price Data;Form Of Box;Dimensional Column Vector;Fuzzy Evaluation;Cloud Database;Cloud Platform;Network Disturbances;Fuzzy Operators;Preferences Of Agents;Wireless Sensor Networks

摘要： This paper considers the cloud-based multi-agent system (MAS) in which for any agent to obtain the most trustworthy data (MTD) that best matches the a ...

作者： Honghao Dai¹;Shanshan Gao²;Hong Huang¹;Deqian Mao¹;Chenhao Zhang³;Yuanfeng Zhou⁴; （¹School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, China ²Shandong Provincial Key Laboratory of Digital Media Technology, School of Computer Science and Technology, Shandong China-U.S. Digital Media International Cooperation Research Center, Shandong University of Finance and Economics, Jinan, China ³School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China ⁴School of Software, Shandong University, Jinan, China）

出处： IEEE Transactions on Multimedia 2024 Vol.26 P2918-2931

关键词： Semantics;Object detection;Feature extraction;Task analysis;Heating systems;Focusing;Redundancy;Object Detection;Adaptive Sampling;Object Detection Network;Tiny Objects;Tiny Object Detection;Positive Samples;Negative Samples;Feature Information;Detection Performance;Layer-by-layer;Semantic Information;Objective Information;Existence Of Objects;Existence Probability;Local Information;Feature Maps;Complex Samples;Network Performance;Image Object;Intersection Over Union;Multi-scale Features;Red Box;Inference Stage;Simple Sampling;Random Cropping;Feature Pyramid Network;Complex Background;Pixel Level;Large Objects;Bounding Box

摘要： Tiny objects often have a small proportion of pixels in the image, leading to significant differences in the number of positive and negative samples a ...

作者： Tong Zhang^1,2,3;Yelin Chen⁴;Shuzhen Li^1,2,3;Xiping Hu⁵;C. L. Philip Chen^1,2,3; （¹Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China ²Pazhou Lab, Guangzhou, China ³Engineering Research Center of the Ministry of Education on Health Intelligent Perception and Paralleled Digital-Human, Guangzhou, China ⁴School of Computer Science and Engineering, South China University of Technology, Guangzhou, China ⁵School of Medical Technology, Beijing Institute of Technology, Beijing, China）

出处： IEEE Transactions on Computational Social Systems 2024 P1-15

关键词： Feature extraction;Legged locomotion;Emotion recognition;Task analysis;Skeleton;Frequency modulation;Arms

摘要： The human gait reflects substantial information about individual emotions. Current gait emotion recognition methods focus on capturing gait topology i ...

作者： Zhang Dongjiang¹;Gao Zhijie²;Yang Zhitao;Zhang Xinwen³;Lan Ding⁴; （¹School of Humanities and Social Sciences, Beijing Institute of Technology, Beijing 100081, China;²Institute of National Security and Development Studies, Beijing Institute of Technology, Beijing 100081, China;³School of Computer Science and Technology, Beijing Institute of Technology,Beijing 100081, China;⁴Institute of Mechanics, Chinese Academy of Sciences, Beijing 100084, China）

出处： 中国工程科学 2024 Vol.26 No.1 P239-250

关键词： space assets;risk assessment;value model;risk control;risk classification

摘要： Space assets are crucial resources for a nation, and effectively managing the various risks associated with them will help maximize their benefits, en ...

作者： Chao, Daichong¹; Xu, Dawei¹; Gao, Feng²; Zhang, Chuan²; Zhang, Weiting³; Zhu, Liehuang² （¹School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China;²School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China;³School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China）

出处： IEEE Communications Surveys and Tutorials 2024 P1-1