Loading [MathJax]/extensions/MathMenu.js

Mohammad Shahadat Hossain - IEEE Xplore Author Profile

Scheduled Maintenance on Monday 1/13/2025

Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.

IEEE.org
IEEE Xplore
IEEE SA
IEEE Spectrum
More Sites

- Donate
- Personal Sign In

Institutional Sign In

Institutional Sign In

ADVANCED SEARCH

Author details

Mohammad Shahadat Hossain

Also published under: Md Shahadat Hossain

Publications

86

Citations

1,413

Publications by Year

20132025

Co-Authors:

Zainal AbedinMd Zainal AbedinNafiz AhmedShamim AhmedTawsin Uddin Ahmed

Show All Co-Authors (141)

Mohammad Shahadat Hossain

Also published under: Md Shahadat Hossain

Affiliation

Department of Computer Science and Engineering

University of Chittagong

Chattogram, Bangladesh

Publication Topics

Deep Learning,
Machine Learning,
Convolutional Neural Network,
Deep Learning Models,
Learning Algorithms,
Support Vector Machine,
Random Forest,
Machine Learning Models,
Data Augmentation,
Neural Network,
Transfer Learning,
Machine Learning Techniques

Biography

Mohammad Shahadat Hossain (Senior Member, IEEE) received the M.Phil. and Ph.D. degrees in computation from the Institute of Science and Technology (UMIST), University of Manchester, U.K., in 1999 and 2002, respectively. He is currently a Professor in computer science and engineering with the University of Chittagong, Bangladesh, and a Visiting Professor with Luleå University of Technology, Sweden. His current research interests include e-government, the modeling of risks and uncertainties using evolutionary computing techniques, investigation of pragmatic software development tools and methods, information systems in general, and expert systems.(Based on document published on 11 October 2024).

Publications

86

Citations

1,413

Publications by Year

20132025

Co-Authors:

Zainal Abedin
Md Zainal Abedin
Nafiz Ahmed
Shamim Ahmed
Tawsin Uddin Ahmed

Show All Co-Authors (141)

Author's Published Works

Search History

Showing 1-25 of 312 results

Journals (179)

Conferences (110)

Early Access Articles (21)

Magazines (2)

Sort

Filter Results

Show

Open Access Only

Range
Single Year
Junzhi Yu(309)
Min Tan(117)
Zhengxing Wu(109)
Jian Wang(47)
Zhiqiang Cao(39)
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China(98)
School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China(97)
University of Chinese Academy of Sciences, Beijing, China(26)
Department of Advanced Manufacturing and Robotics, College of Engineering, State Key Laboratory for Turbulence and Complex Systems, Peking University, Beijing, China(22)
State Key Laboratory for Turbulence and Complex Systems, Department of Advanced Manufacturing and Robotics, College of Engineering, Peking University, Beijing, China(20)
IEEE Transactions on Industrial Electronics(31)
IEEE/ASME Transactions on Mechatronics(30)
IEEE Transactions on Systems, Man, and Cybernetics: Systems(24)
IEEE Transactions on Instrumentation and Measurement(14)
IEEE Transactions on Cybernetics(11)
IEEE(310)
TUP(2)
Media(41)
Beijing, China(13)
Shanghai, China(10)
Dali, China(6)
Qingdao, China(5)
Shenyang, China(5)
Pectoral Fin(69)
Robotic Fish(68)
Autonomous Underwater Vehicles(66)
Caudal Fin(65)
Central Pattern Generator(60)

Select All on Page

Sort By

Results

PV-PASBLS: A Multimodal Point-View Fusion Model Based on Parameter Adaptive Stacked Broad Learning System for 3D Shape Recognition

Zhiyuan Liao;Chunquan Li;Hui Jin;Beike Li;Zhijun Zhang;Junzhi Yu;Peter X. Liu

IEEE Transactions on Instrumentation and Measurement

Year: 2025 | Early Access Article |

Most existing multimodal point-view fusion models for 3D shape recognition typically improve recognition accuracy through complex feature fusion mechanisms. However, these mechanisms significantly increase the model’s complexity and computational cost. To address this issue, a novel multimodal point-view fusion model based on a parameter adaptive stacked broad learning system (PV-PASBLS) for 3D sh...Show More

PV-PASBLS: A Multimodal Point-View Fusion Model Based on Parameter Adaptive Stacked Broad Learning System for 3D Shape Recognition

Zhiyuan Liao;Chunquan Li;Hui Jin;Beike Li;Zhijun Zhang;Junzhi Yu;Peter X. Liu

IEEE Transactions on Instrumentation and Measurement

Year: 2025 | Early Access Article |

An Arbitrarily Predefined-Time Convergent RNN for Dynamic LMVE With Its Applications in UR3 Robotic Arm Control and Multiagent Systems

Boyu Zheng;Chunquan Li;Zhijun Zhang;Junzhi Yu;P. X. Liu

IEEE Transactions on Cybernetics

Year: 2025 | Volume: 55, Issue: 4 | Journal Article |

HTML

Zeroing neural network (ZNN), as a special type of recurrent neural network (RNN), is very competitive in solving time-varying linear matrix-vector equations. Recently, various ZNNs with predefined-time convergence (PTC) capabilities have been reported. Such ZNNs with PTC capabilities can achieve the predefined convergence time via explicitly presetting multiple parameters related to the upper bou...Show More

An Arbitrarily Predefined-Time Convergent RNN for Dynamic LMVE With Its Applications in UR3 Robotic Arm Control and Multiagent Systems

Boyu Zheng;Chunquan Li;Zhijun Zhang;Junzhi Yu;P. X. Liu

IEEE Transactions on Cybernetics

Year: 2025 | Volume: 55, Issue: 4 | Journal Article |

Rapid and Precise Online Surface Reconstruction Method for Digital Modeling of Bulk Material Flow

Wei Qiao;Chengcheng Hou;Xiaoyan Xiong;Huijie Dong;Yusong Pang;Junzhi Yu

IEEE Transactions on Industrial Informatics

Year: 2025 | Early Access Article |

Digital twins and visual monitoring of conveyor systems require accurate digital models of dynamic bulk material flows, but existing methods struggle to achieve both speed and precision. This study develops a rapid online method to reconstruct dynamic bulk material flows on conveyor belts. First, a standardized online reconstruction scheme using visual detection of material flow contour lines is p...Show More

Rapid and Precise Online Surface Reconstruction Method for Digital Modeling of Bulk Material Flow

Wei Qiao;Chengcheng Hou;Xiaoyan Xiong;Huijie Dong;Yusong Pang;Junzhi Yu

IEEE Transactions on Industrial Informatics

Year: 2025 | Early Access Article |

Robust Practical Stabilization for Complex Dynamical Networks With DoS Attacks and Actuator Saturation

Xueya Shi;Zhinan Peng;Junzhi Yu;Hongfei Li

IEEE Transactions on Systems, Man, and Cybernetics: Systems

Year: 2025 | Early Access Article |

This article addresses the problem of designing an attack-resilient adaptive event-triggered (AET) controller for complex dynamical networks (CDNs) under DoS attacks and actuator saturation, with a focus on robust practical stability (RPS). First, considering the impact of DoS attacks on closed-loop systems, an AET controller against DoS attacks is designed. Unlike other event-triggered controller...Show More

Robust Practical Stabilization for Complex Dynamical Networks With DoS Attacks and Actuator Saturation

Xueya Shi;Zhinan Peng;Junzhi Yu;Hongfei Li

IEEE Transactions on Systems, Man, and Cybernetics: Systems

Year: 2025 | Early Access Article |

Decentralized Reinforcement Learning for Multiple Robotic Fish in Cooperative Pursuit Task

Yukai Feng;Zhengxing Wu;Jian Wang;Sijie Li;Yupei Huang;Junzhi Yu;Min Tan

IEEE Transactions on Cognitive and Developmental Systems

Year: 2025 | Early Access Article |

The control of multi-robot systems, particularly in the pursuit-evasion (PE) with multiple robots, has gained significant attention in both academic and non-academic settings. However, the collaborative operation of multi-robotic fish systems encounters substantial challenges due to the complex underwater environment and unique movement mode. In this paper, we propose a multi-agent reinforcement l...Show More

Decentralized Reinforcement Learning for Multiple Robotic Fish in Cooperative Pursuit Task

Yukai Feng;Zhengxing Wu;Jian Wang;Sijie Li;Yupei Huang;Junzhi Yu;Min Tan

IEEE Transactions on Cognitive and Developmental Systems

Year: 2025 | Early Access Article |

Contextual Multi-Armed Bandit-Based Dynamic Cooperative Link Configuration for AUV in UWASNs With Energy Harvesting

Jun Dai;Xinbin Li;Song Han;Junzhi Yu;Zhixin Liu

IEEE Transactions on Cognitive Communications and Networking

Year: 2025 | Early Access Article |

This paper investigates the cooperative link configuration problem for Autonomous Underwater Vehicle (AUV) in Underwater Acoustic (UWA) sensor networks with Energy Harvesting (EH), which aims to maximize long-term cumulative capacity by jointly optimizing cooperation relay, AUV transmission power, and relay transmission power.Subject to unknown time-varying Channel State Information (CSI), unpredi...Show More

Contextual Multi-Armed Bandit-Based Dynamic Cooperative Link Configuration for AUV in UWASNs With Energy Harvesting

Jun Dai;Xinbin Li;Song Han;Junzhi Yu;Zhixin Liu

IEEE Transactions on Cognitive Communications and Networking

Year: 2025 | Early Access Article |

Decentralized Multirobotic Fish Pursuit Control With Attraction-Enhanced Reinforcement Learning

Yukai Feng;Zhengxing Wu;Jian Wang;Junwen Gu;Fuyang Yu;Junzhi Yu;Min Tan

IEEE Transactions on Industrial Electronics

Year: 2025 | Early Access Article |

Adaptive and efficient cooperative control is a crucial capability for multirobotic fish systems, as it can substantially enhance their performance in complex underwater tasks. The pursuit and evasion dynamics in such topics have gained significant attention from the scientific community. In this article, we present a novel adaptive algorithm tailored specifically for cooperative pursuit among mul...Show More

Decentralized Multirobotic Fish Pursuit Control With Attraction-Enhanced Reinforcement Learning

Yukai Feng;Zhengxing Wu;Jian Wang;Junwen Gu;Fuyang Yu;Junzhi Yu;Min Tan

IEEE Transactions on Industrial Electronics

Year: 2025 | Early Access Article |

Adjusting Distributed Cameras for Robust Moving Object Pose Estimation

Yaoqing Hu;Shaoan Wang;Dongyue Li;Xingyu Chen;Mingzhu Zhu;Zhanhua Xin;Junzhi Yu

IEEE Transactions on Automation Science and Engineering

Year: 2025 | Early Access Article |

Robust moving object pose estimation is crucial in fine manipulation tasks, such as surgical instrument tracking. This paper presents a distributed-camera system with robotic adjustments to maintain consistent tracking of moving objects, thus avoiding tracking failures. An integrated framework for camera adjustment and pose estimation is developed for this distributed-camera system. In each detect...Show More

Adjusting Distributed Cameras for Robust Moving Object Pose Estimation

Yaoqing Hu;Shaoan Wang;Dongyue Li;Xingyu Chen;Mingzhu Zhu;Zhanhua Xin;Junzhi Yu

IEEE Transactions on Automation Science and Engineering

Year: 2025 | Early Access Article |

Few-Shot Object Detection via Dual-Domain Feature Fusion and Patch-Level Attention

Guangli Ren;Jierui Liu;Mengyao Wang;Peiyu Guan;Zhiqiang Cao;Junzhi Yu

Tsinghua Science and Technology

Year: 2025 | Volume: 30, Issue: 3 | Journal Article |

HTML

Few-shot object detection receives much attention with the ability to detect novel class objects using limited annotated data. The transfer learning-based solution becomes popular due to its simple training with good accuracy, however, it is still challenging to enrich the feature diversity during the training process. And fine-grained features are also insufficient for novel class detection. To d...Show More

Few-Shot Object Detection via Dual-Domain Feature Fusion and Patch-Level Attention

Guangli Ren;Jierui Liu;Mengyao Wang;Peiyu Guan;Zhiqiang Cao;Junzhi Yu

Tsinghua Science and Technology

Year: 2025 | Volume: 30, Issue: 3 | Journal Article |

Visual-Inertial-Acoustic Sensor Fusion for Accurate Autonomous Localization of Underwater Vehicles

Yupei Huang;Peng Li;Shaoxuan Ma;Shuaizheng Yan;Min Tan;Junzhi Yu;Zhengxing Wu

IEEE Transactions on Cybernetics

Year: 2025 | Volume: 55, Issue: 2 | Journal Article |

HTML

In this article, we propose a tightly coupled visual-inertial-acoustic sensor fusion method to improve the autonomous localization accuracy of underwater vehicles. To address the performance degradation encountered by existing visual or visual-inertial simultaneous localization and mapping systems when applied in underwater environments, we integrate the Doppler velocity log (DVL), an acoustic vel...Show More

Visual-Inertial-Acoustic Sensor Fusion for Accurate Autonomous Localization of Underwater Vehicles

Yupei Huang;Peng Li;Shaoxuan Ma;Shuaizheng Yan;Min Tan;Junzhi Yu;Zhengxing Wu

IEEE Transactions on Cybernetics

Year: 2025 | Volume: 55, Issue: 2 | Journal Article |

Visual Sensor-Based Trajectory Multimodality Prediction via Anchor-Free Query Attention Network

Ruiping Wang;Jun Cheng;Junzhi Yu

IEEE Transactions on Instrumentation and Measurement

Year: 2025 | Volume: 74 | Journal Article |

HTML

As a core component of intelligent surveillance and autonomous driving systems, visual sensor-based trajectory multimodality prediction can significantly improve their perception and decision-making capabilities. Numerous existing trajectory prediction methods are dedicated to enhance prediction performance. However, they still fail to effectively model the complex spatiotemporal interactions amon...Show More

Visual Sensor-Based Trajectory Multimodality Prediction via Anchor-Free Query Attention Network

Ruiping Wang;Jun Cheng;Junzhi Yu

IEEE Transactions on Instrumentation and Measurement

Year: 2025 | Volume: 74 | Journal Article |

Deformation Control and Thrust Analysis of a Flexible Fishtail With Muscle-Like Actuation

Junwen Gu;Jian Wang;Zhijie Liu;Min Tan;Junzhi Yu;Zhengxing Wu

IEEE Transactions on Robotics

Year: 2025 | Volume: 41 | Journal Article |

HTML

In nature, fish have evolved sophisticated muscular systems that enable them to dynamically regulate their body movements for efficient and agile swimming, which has inspired the development of compact and fast flexibility regulation mechanisms in robotic fish. While existing robotic fish have primarily relied on passive flexible mechanisms and tunable stiffness mechanisms, these approaches often ...Show More

Deformation Control and Thrust Analysis of a Flexible Fishtail With Muscle-Like Actuation

Junwen Gu;Jian Wang;Zhijie Liu;Min Tan;Junzhi Yu;Zhengxing Wu

IEEE Transactions on Robotics

Year: 2025 | Volume: 41 | Journal Article |

An Innovative Visual Weighing Method: Measuring Bulk Material Mass Flows via Belt Deformation Field With Deep Learning

Wei Qiao;Xiaoyan Xiong;Chen Jie;Huijie Dong;Yusong Pang;Junzhi Yu

IEEE Transactions on Industrial Informatics

Year: 2025 | Volume: 21, Issue: 1 | Journal Article |

Cited by: Papers (1)

HTML

This article presents an innovative visual method for measuring material mass online by quantified conveyor belt deformation with deep learning, which offers a noncontact and safe alternative to traditional pressure- and radioactivity-based weighing techniques. The correlation between the belt deformation and the carried material mass is further investigated through finite element simulations. The...Show More

An Innovative Visual Weighing Method: Measuring Bulk Material Mass Flows via Belt Deformation Field With Deep Learning

Wei Qiao;Xiaoyan Xiong;Chen Jie;Huijie Dong;Yusong Pang;Junzhi Yu

IEEE Transactions on Industrial Informatics

Year: 2025 | Volume: 21, Issue: 1 | Journal Article |

Hardness-Aware Metric Learning With Cluster-Guided Attention for Visual Place Recognition

Peiyu Guan;Zhiqiang Cao;Shengxuan Fan;Yuequan Yang;Junzhi Yu;Shuo Wang

IEEE Transactions on Circuits and Systems for Video Technology

Year: 2025 | Volume: 35, Issue: 1 | Journal Article |

HTML

Visual place recognition is crucial to accurate localization in large-scale environments. Existing methods combine convolutional neural network and deep metric learning to improve performance, however, it is still challenging to promote the adaptability of features under various environmental conditions. To address the problem, this paper proposes a hardness-aware metric learning method with clust...Show More

Hardness-Aware Metric Learning With Cluster-Guided Attention for Visual Place Recognition

Peiyu Guan;Zhiqiang Cao;Shengxuan Fan;Yuequan Yang;Junzhi Yu;Shuo Wang

IEEE Transactions on Circuits and Systems for Video Technology

Year: 2025 | Volume: 35, Issue: 1 | Journal Article |

A Lightweight Integrated Positioning System With Occlusion-Aware Region-Based Pose Tracking for Oral and Maxillofacial Surgery

Dongyue Li;Yaoqing Hu;Shaoan Wang;Mingzhu Zhu;Fusong Yuan;Junzhi Yu

IEEE Transactions on Automation Science and Engineering

Year: 2025 | Volume: 22 | Journal Article |

HTML

The development of an accurate and robust positioning system for oral and maxillofacial surgery (OMS) is a challenging task, primarily due to the oral space limitations and line-of-sight occlusions. This paper presents a novel lightweight integrated positioning system for OMS, which can provide practical guidance utilizing only a micro camera installed on the end of the surgical instrument. An eff...Show More

A Lightweight Integrated Positioning System With Occlusion-Aware Region-Based Pose Tracking for Oral and Maxillofacial Surgery

Dongyue Li;Yaoqing Hu;Shaoan Wang;Mingzhu Zhu;Fusong Yuan;Junzhi Yu

IEEE Transactions on Automation Science and Engineering

Year: 2025 | Volume: 22 | Journal Article |

Robust Depth and Heading Control System for a Novel Robotic Dolphin With Multiple Control Surfaces

Sijie Li;Zhengxing Wu;Jian Wang;Changlin Qiu;Min Tan;Junzhi Yu

IEEE Transactions on Automation Science and Engineering

Year: 2025 | Volume: 22 | Journal Article |

Cited by: Papers (3)

HTML

For field tasks, it is quite challenged to operate in a complex environment for the underwater robots, especially for those with multiple control surfaces due to different response and gain characteristics. To this end, this paper develops a highly integrated robotic dolphin followed by a robust motion control system. For better maneuverability and fault-tolerant capabilities, a newly-designed rob...Show More

Robust Depth and Heading Control System for a Novel Robotic Dolphin With Multiple Control Surfaces

Sijie Li;Zhengxing Wu;Jian Wang;Changlin Qiu;Min Tan;Junzhi Yu

IEEE Transactions on Automation Science and Engineering

Year: 2025 | Volume: 22 | Journal Article |

Uncertainty-Aware Autonomous Robot Exploration Using Confidence-Rich Localization and Mapping

Yang Xu;Ronghao Zheng;Senlin Zhang;Meiqin Liu;Junzhi Yu

IEEE Transactions on Automation Science and Engineering

Year: 2025 | Volume: 22 | Journal Article |

Cited by: Papers (4)

HTML

Information-based autonomous robot exploration methods, aiming to maximize the exploration rewards, e.g., mutual information (MI), get more prevalent in field robotics applications. However, most MI-based exploration methods assume known poses or use inaccurate pose uncertainty approximation, which may lead to deviation or even failure when exploring prior unknown environments. In this paper, we e...Show More

Uncertainty-Aware Autonomous Robot Exploration Using Confidence-Rich Localization and Mapping

Yang Xu;Ronghao Zheng;Senlin Zhang;Meiqin Liu;Junzhi Yu

IEEE Transactions on Automation Science and Engineering

Year: 2025 | Volume: 22 | Journal Article |

Accurate and Automatic Dental Crown Components Segmentation With Multi-Scale Attention Based U-Net and Hybrid Level Set Models

Dongyue Li;Mingzhu Zhu;Shaoan Wang;Yaoqing Hu;Fusong Yuan;Junzhi Yu

IEEE Transactions on Automation Science and Engineering

Year: 2025 | Volume: 22 | Journal Article |

Cited by: Papers (1)

HTML

This paper presents a two-step method to automatically and accurately segment the dental crown components from CT images. Firstly, a multi-scale attention based U-Net model is proposed for pulp segmentation, which is embedded with global and local attention modules. The constructed attention modules can automatically aggregate pixel-wise contextual information and focus on catching the real dental...Show More

Accurate and Automatic Dental Crown Components Segmentation With Multi-Scale Attention Based U-Net and Hybrid Level Set Models

Dongyue Li;Mingzhu Zhu;Shaoan Wang;Yaoqing Hu;Fusong Yuan;Junzhi Yu

IEEE Transactions on Automation Science and Engineering

Year: 2025 | Volume: 22 | Journal Article |

A Vision-Based Two-Stage Fruit Outer Diameter Detection Method

Yifei Hao;Shuaizheng Yan;Zhengxing Wu;Bingwei He;Chenghua Li;Junzhi Yu

2024 IEEE International Conference on Robotics and Biomimetics (ROBIO)

Year: 2024 | Conference Paper |

HTML

Regarding the mobile monitoring system in agricultural automation, the outer diameter monitoring of greenhouse vegetables has significant implications for accurately regulating fruit growth and cultivation plans. In this paper, a novel vision-based two-stage outer diameter detection method is proposed, including the segmentation and outer diameter calculation of greenhouse tomato images. To addres...Show More

A Vision-Based Two-Stage Fruit Outer Diameter Detection Method

Yifei Hao;Shuaizheng Yan;Zhengxing Wu;Bingwei He;Chenghua Li;Junzhi Yu

2024 IEEE International Conference on Robotics and Biomimetics (ROBIO)

Year: 2024 | Conference Paper |

Trajectory Planning Towards Water-Air Trans-Media Motion for Robotic Dolphin

Yan Xiong;Pengfei Zhang;Di Chen;Junzhi Yu

2024 China Automation Congress (CAC)

Year: 2024 | Conference Paper |

HTML

Water-air trans-media navigators have multi-media motion modes, breaking through the limitation that traditional robots can only operate in a single medium. Autonomous navigation is an indispensable component of the process of transmedia motion. Most of the current work has only completed the development and testing of prototypes, and the problem of task-oriented motion planning and control needs ...Show More

Trajectory Planning Towards Water-Air Trans-Media Motion for Robotic Dolphin

Yan Xiong;Pengfei Zhang;Di Chen;Junzhi Yu

2024 China Automation Congress (CAC)

Year: 2024 | Conference Paper |

Learning to Turn: Deformation Control of a Novel Flexible Fishtail Actuated by Artificial Muscles

Junwen Gu;Yukai Feng;Zhengxing Wu;Jian Wang;Junzhi Yu

2024 IEEE International Conference on Cyborg and Bionic Systems (CBS)

Year: 2024 | Conference Paper |

HTML

Achieving agile, fish-like turning remains a critical challenge in the development of robotic fish. The flexible deformation of a fish’s body significantly contributes to its turning ability. Consequently, researchers have devoted substantial efforts to enhancing the compliance and agility of robotic fish. This paper presents a novel flexible fishtail, inspired by the musculoskeletal structure of ...Show More

Learning to Turn: Deformation Control of a Novel Flexible Fishtail Actuated by Artificial Muscles

Junwen Gu;Yukai Feng;Zhengxing Wu;Jian Wang;Junzhi Yu

2024 IEEE International Conference on Cyborg and Bionic Systems (CBS)

Year: 2024 | Conference Paper |

RIGNet: Robot Intention Grasp for Dense Stacked Targets With Multi-Task Siamese Schema Through RoIs Learning

Xungao Zhong;Tao Gong;Junzhi Yu;Chengxian Zhou;Xunyu Zhong;Qiang Liu

IEEE Transactions on Automation Science and Engineering

Year: 2024 | Early Access Article |

Autonomous grasping is a critical topic of robotic embodied intelligence. However, it remains challenging for robots to grasp an intended target, particularly in cluttered and densely stacked environments. This paper presents a novel solution by proposing a Robot Intention Grasp Network (RIGNet) with a multi-task siamese schema, which is based on an improved Region Proposal Network (RPN) and a Reg...Show More

RIGNet: Robot Intention Grasp for Dense Stacked Targets With Multi-Task Siamese Schema Through RoIs Learning

Xungao Zhong;Tao Gong;Junzhi Yu;Chengxian Zhou;Xunyu Zhong;Qiang Liu

IEEE Transactions on Automation Science and Engineering

Year: 2024 | Early Access Article |

An Extended Bandit-Based Game Scheme for Distributed Joint Resource Allocation in Underwater Acoustic Communication Networks

Jun Dai;Xinbin Li;Song Han;Junzhi Yu;Zhixin Liu;Tongwei Zhang

IEEE Transactions on Network and Service Management

Year: 2024 | Early Access Article |

This paper investigates a joint discrete-channel and continuous-power allocation problem for multi-user underwater acoustic communication networks. The unknown underwater acoustic Channel State Information (CSI) and the distributed optimization requirement make the proposed hybrid discrete-continuous optimization problem full of challenges. Firstly, an adversarial multi-player bandit game model is...Show More

An Extended Bandit-Based Game Scheme for Distributed Joint Resource Allocation in Underwater Acoustic Communication Networks

Jun Dai;Xinbin Li;Song Han;Junzhi Yu;Zhixin Liu;Tongwei Zhang

IEEE Transactions on Network and Service Management

Year: 2024 | Early Access Article |

Adaptive Trajectory Tracking Control for Small Unmanned Underwater Vehicles With Prescribed Performance and Dynamic Compensation

Hongtao Liang;Junzhi Yu;Huiping Li

IEEE Transactions on Industrial Electronics

Year: 2024 | Early Access Article |

This article is concerned with the trajectory tracking control problem for small unmanned underwater vehicles (UUVs) with dynamic uncertainty, external disturbance, input saturation, and even unmeasured velocities. To guarantee transient and steady-state prescribed performance, a finite-time prescribed performance control (PPC) method is designed for the boundness and convergence of tracking error...Show More

Adaptive Trajectory Tracking Control for Small Unmanned Underwater Vehicles With Prescribed Performance and Dynamic Compensation

Hongtao Liang;Junzhi Yu;Huiping Li

IEEE Transactions on Industrial Electronics

Year: 2024 | Early Access Article |

Defocus Force-Guided Precision Autofocus of Hand–Eye Robot System

Xurong Gong;Xilong Liu;Zhiqiang Cao;Peiyu Guan;Liping Ma;Junzhi Yu

IEEE Transactions on Industrial Electronics

Year: 2024 | Early Access Article |

Autofocus is a crucial prerequisite for precision vision sensing of industrial workpieces. Existing methods mainly utilize image sharpness to guide single-axis camera adjustment for focusing. However, they fail to deal with larger workpieces with uneven surfaces, which require multidirection sensing. To solve this challenge, the focusing is abstracted as a force movement acting on the camera focus...Show More

Defocus Force-Guided Precision Autofocus of Hand–Eye Robot System

Xurong Gong;Xilong Liu;Zhiqiang Cao;Peiyu Guan;Liping Ma;Junzhi Yu

IEEE Transactions on Industrial Electronics

Year: 2024 | Early Access Article |

IEEE Personal Account

Change username/password

Purchase Details

Payment Options
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

Follow

About IEEE Xplore | Contact Us | Help | Accessibility | Terms of Use | Nondiscrimination Policy | IEEE Ethics Reporting | Sitemap | IEEE Privacy Policy

A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

© Copyright 2025 IEEE - All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies.

IEEE Account

Change Username/Password
Update Address

Purchase Details

Payment Options
Order History
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical Interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

About IEEE Xplore
Contact Us
Help
Accessibility
Terms of Use
Nondiscrimination Policy
Sitemap
Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

Test Whats new message.