作者： Li, Wentao¹; Song, Hong¹; Ai, Danni²; Shi, Jieliang³; Wang, Yuanyuan²; Wu, Wencan³; Yang, Jian² （¹School of Computer Science and Technology, Beijing Institute of Technology, Beijing; 100081, China;²School of Optics and Photonics, Beijing Institute of Technology, Beijing; 100081, China;³Eye Hospital of Wenzhou Medical University, Wenzhou; 325027, China）

出处： Computers in Biology and Medicine 2024

作者： Guo,Qing¹;Song,Hong¹;Wang,Cong²;Fan,Jingfan³;Ai,Danni³;Gao,Yuanjin⁴;Yu,Xiaoling⁵;Yang,Jian³; （¹School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China;²Shool of Artificial Intelligence, Optics and Electronics, Northwestern Polytechnical University, Xi'an, China;³School of Optics and Photonics, Beijing Institute of Technology, Beijing, China;⁴Department of Ultrasound, Beijing Children's Hospital, Beijing, China;⁵Department of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, China）

出处： IEEE Transactions on Fuzzy Systems 2024 P1-14

摘要： Anatomically diffused tissues (ADTs) refer to soft tissues containing many anatomical regions that are spatially dispersed and structurally irregular. ...

作者： Shao,Long¹;Fu,Tianyu²;Lin,Yucong²;Xiao,Deqiang³;Ai,Danni³;Zhang,Tao⁴;Fan,Jingfan³;Song,Hong¹;Yang,Jian³; （¹School of Computer Science & Technology, Beijing Institute of Technology, Beijing, 100081, China;²School of Medical Technology, Beijing Institute of Technology, Beijing, 100081, China;³Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, China;⁴Department of Stomatology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China）

出处： Computer Methods and Programs in Biomedicine 2024 Vol.248

摘要： Background: The existing face matching method requires a point cloud to be drawn on the real face for registration, which results in low registration ...

作者： Li,Jingshu¹;Fu,Tianyu²;Song,Hong³;Fan,Jingfan¹;Xiao,Deqiang¹;Lin,Yucong²;Gu,Ying²;Yang,Jian¹; （¹School of Optics and Photonics, Beijing Institute of Technology, Beijing, China;²School of Medical Technology, Beijing Institute of Technology, Beijing, China;³School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China）

出处： IEEE Journal of Biomedical and Health Informatics 2024 P1-13

摘要： In recent years, 4D medical image involving structural and motion information of tissue has attracted increasing attention. The key to the 4D image re ...

作者： Tao ZHANG¹;，Ying FU^1,2;，Jun ZHANG²; （¹School of Computer Science and Technology, Beijing Institute of Technology；²Advanced Reasearch Institute of Multidisciplinary Science, Beijing Institute of Technology）

出处： 电子学报(英文) 2024 第33卷 第1期 P303-312

关键词： Image denoising；Image demosaicing；Joint processing；Guided attention；Paired real dataset

摘要： Denoising（DN） and demosaicing（DM） are the first crucial stages in the image signal processing pipeline. Recently, researches pay more attention to sol ...

作者： Ying Fu^1,2,3;Hongrong Liu^3,4;Yunhao Zou⁴;Shuai Wang⁵;Zhongxiang Li^1,3;Dezhi Zheng^1,3; （¹MIIT Key Laboratory of Complex-Field Intelligent Exploration, Beijing Institute of Technology, Beijing, China ²Advanced Technology Research Institute, Beijing Institute of Technology, Jinan, China ³Yangtze Delta Region Academy, Beijing Institute of Technology, Jiaxing, China ⁴School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China ⁵School of Computer Science and Engineering, Beihang University, Beijing, China）

出处： IEEE Transactions on Geoscience and Remote Sensing 2024 Vol.62 P1-16

关键词： Feature extraction;Data mining;Convolution;Transformers;Hyperspectral imaging;Deep learning;Correlation;Image Classification;Hyperspectral Image Classification;Deep Learning;Spatial Information;Classification Results;Spectral Bands;Spectral Properties;Attention Module;Global Properties;Training Set;Performance Of Method;Spatial Features;Attention Mechanism;Redundant Information;Patch Size;Multi-scale Features;Number Of Heads;Multi-scale Feature Extraction;Band Selection;Land Cover Categories;Indian Pines;Pavia University Dataset;Pavia University;Indian Pines Dataset;Hyperspectral Image Pixels;Hyperspectral Image Classification Methods;Size Of Convolution;Features Of Hyperspectral Image;Highest Average Accuracy;Discrete Cosine Transform

摘要： Hyperspectral image (HSI) classification is a classical task in remote sensing image analysis. With the development of deep learning, schemes based on ...

作者： Hangcheng Han¹;Cheng Zhan²;Jian Lv¹;Changyuan Xu²; （¹School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, China ²School of Computer and Information Science, Southwest University, Chongqing, China）

出处： IEEE Internet of Things Journal 2024 Vol.11 No.6 P9558-9571

关键词： Autonomous aerial vehicles;Task analysis;Three-dimensional displays;Trajectory;Energy consumption;Optimization;Resource management;Edge Computing;Binary Offloading;Energy Consumption;Optimization Problem;Resource Allocation;Computational Resources;Base Station;Unmanned Aerial Vehicles;Computation Tasks;Maximum Consumption;Mobile Edge Computing;Unmanned Aerial Vehicle Trajectory;Multiple Unmanned Aerial Vehicles;Ground Base Stations;Computation Resource Allocation;Offloading Strategy;Binary Constraints;Alternating Optimization Algorithm;Objective Value;Time Slot;Computation Offloading;Task Offloading;Auxiliary Variables;Trajectory Design;Vertical Speed;Mixed-integer Nonlinear Programming Problem;Trajectory Optimization;Mobile Edge Computing Server;Unmanned Aerial Vehicle Flies;Channel Quality

摘要： Due to the characteristic of wide coverage, flexible deployment, and low cost, unmanned aerial vehicles (UAVs) have been employed to provide mobile cr ...

作者： Zhiyuan Zhao¹;Fan Li¹;Yadong Xie¹;Yue Wu²;Yu Wang³; （¹School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China ²School of Software, Tsinghua University, Beijing, China ³Department of Computer and Information Sciences, Temple University, Philadelphia, PA, USA）

出处： IEEE Transactions on Mobile Computing 2024 Vol.23 No.4 P3213-3227

关键词： Headphones;Monitoring;Gastrointestinal tract;Diseases;Microphones;Acoustics;Ear;Bowel Sounds;Abdominal;Long Short-term Memory;Data Augmentation;Kalman Filter;Long Short-term Memory Network;External Noise;Empirical Mode Decomposition;Data Augmentation Methods;Internal Noise;Benchmark Experiments;Mel-frequency Cepstral Coefficients;Denoising;Dataset Size;Microphone;mHealth;Lower Quadrant;Impact Of Time;Auscultation;Heart Sound;Breath Sounds;Smartphone;Small Amount Of Data;Influence Of Noise;Impact Of Different Factors;Lower Envelope;Abdominal Distension;Low-cost System;Network Database

摘要： Bowel sound (BS) is an important physiological signal of the human body, which is also an objective reflection of gastrointestinal motility. However, ...

作者： Long Shao¹;Xing Li²;Tianyu Fu³;Fanhao Meng⁴;Zhihui Zhu²;Ruiqi Zhao²;Minghao Huo⁵;Deqiang Xiao⁶;Jingfan Fan⁶;Yucong Lin³;Tao Zhang²;Jian Yang⁶; （¹ School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China. ² Department of Stomatology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. ³ School of Medical Technology, Beijing Institute of Technology, Beijing, China. ⁴ Department of Stomatology, Beijing Friendship Hospital, Capital Medical University, Beijing, China. ⁵ Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. ⁶ Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China.）

出处： Medical physics 2024 Vol.51 No.1 P363-377

关键词： augmented reality;mandibular reconstruction;optical tracking;robot-assisted;spatial registration.

摘要： Purpose: This work proposes a robot-assisted augmented reality (AR) surgical navigation system for mandibular reconstruction. The system accurately su ...

作者： Cheng Zhan¹;Han Hu²;Jing Wang³;Zhi Liu⁴;Shiwen Mao⁵; （¹School of Computer and Information Science, Southwest University, Chongqing, China ²School of Information and Electronics, Beijing Institute of Technology, Beijing, China ³Renming University of China, Beijing, China ⁴Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan ⁵Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA）

出处： IEEE Transactions on Mobile Computing 2024 Vol.23 No.4 P2976-2991

关键词： Autonomous aerial vehicles;Sensors;Cellular networks;Surveillance;Wireless sensor networks;Trajectory;Data collection;Operation Time;Cellular Networks;Age Of Information;Unmanned Aerial Vehicles;Local Environment;Sensor Data;Data Transmission;Average Performance;Base Station;Convex Optimization;Deep Reinforcement Learning;Suboptimal Solution;Sum Of Time;Mixed-integer Nonlinear Programming;Deep Reinforcement Learning Algorithm;Unmanned Aerial Vehicle Trajectory;Ground Base Stations;Mixed-integer Nonlinear Programming Problem;Unmanned Aerial Vehicles Operations;Transmission Scheduling;Double Deep Q-network;Unmanned Aerial Vehicle Flies;Traveling Salesman Problem;Time Slot;Unmanned Aerial Vehicle Position;Target Location;Markov Decision Process;Trajectory Optimization;Benchmark Schemes;Ground Users

摘要： Unmanned aerial vehicles (UAVs) have a significant potential for sensing applications in further cellular networks due to their extensive coverage and ...