Mrs. Zahra Jafari | Remote Sensing | Women Researcher Award

Mrs. Zahra Jafari | Remote Sensing | Women Researcher Award

Zahra Jafari at Memorial University Of Newfoundland, Canada

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Publications

A deep ensemble medical image segmentation with novel sampling method and loss function

  • Authors: SeyedEhsan Roshan, Jafar Tanha, Mahdi Zarrin, Alireza Fakhim Babaei, Haniyeh Nikkhah, Zahra Jafari
  • Journal: Computers in Biology and Medicine
  • Year: 2024

A Novel Method for the Estimation of Sea Surface Wind Speed from SAR Imagery

  • Authors: Zahra Jafari, Pradeep Bobby, Ebrahim Karami, Rocky Taylor
  • Journal: Journal of Marine Science and Engineering
  • Year: 2024

Breast cancer detection in mammography images: a CNN-based approach with feature selection

  • Authors: Zahra Jafari, Ebrahim Karami
  • Journal: Information
  • Year: 2023

Enhanced ship/iceberg classification in SAR images using feature extraction and the fusion of machine learning algorithms

  • Authors: Zahra Jafari, Ebrahim Karami, Rocky Taylor, Pradeep Bobby
  • Journal: Remote Sensing
  • Year: 2023

A Deep CNN Model Based Ensemble Approach for Semantic and Instance Segmentation of Indoor Environment

  • Authors: Sajad Rezaei, Jafar Tanha, Zahra Jafari, SeyedEhsan Roshan, Mohammad-Amin Memar Kochebagh
  • Journal: 2023 13th International Conference on Computer and Knowledge Engineering (ICCKE)
  • Year: 2023

Mrs. Fotini Arabatzi | Biomedical | Excellence in Research

Mrs. Fotini Arabatzi | Biomedical | Excellence in Research

Fotini Arabatzi at Aristotle University of Thessaloniki, Greece

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Publications

Could footwear stiffness reduce the development of proinflammatory markers in long-distance runners?

  • Authors: Papagiannaki, M., Samoladas, E., Arabatzi, F., Tsouknidas, A.
  • Journal: Advances in Medical Sciences
  • Year: 2024

Evaluating the Efficacy of Eccentric Half-Squats for Post-Activation Performance Enhancement in Jump Ability in Male Jumpers

  • Authors: Kannas, T.M., Chalatzoglidis, G., Arvanitidou, E., Paizis, C., Arabatzi, F.
  • Journal: Applied Sciences (Switzerland)
  • Year: 2024

Unique Neural Mechanisms Underlying Speed Control of Low-Force Ballistic Contractions

  • Authors: Kim, J.J., Delmas, S., Choi, Y.J., Yacoubi, B., Christou, E.A.
  • Journal: Journal of Human Kinetics
  • Year: 2024

Maturity Affects Static Balance in Early Adolescent Boys and Girls Associated with Achilles Tendon Stiffness

  • Authors: Paschaleri, Z., Kannas, T.M., Chalatzoglidis, G., Arabatzi, F.
  • Journal: International Journal of Human Movement and Sports Sciences
  • Year: 2024

Training-induced Achilles tendon adaptation: a distinct population within adolescence

  • Authors: Chalatzoglidis, G., Kannas, T.M., Trapezanidou, M., Arabatzi, F.
  • Journal: Journal of Physical Education and Sport
  • Year: 2023

Dr. Dang Anh Tuan | Human-Computer Interaction | Best Researcher Award

Dr. Dang Anh Tuan | Human-Computer Interaction | Best Researcher Award

Doctorate at University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam

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Publications

Real earnings management trends in the context of the COVID-19 pandemic: The case of non-financial listed companies in Vietnam

  • Authors: Dang Anh Tuan, Nguyen Ngoc Khanh Dung, Bui Thi Thu Thao
  • Year: 2023

Model for Forecasting Tax Compliance Behaviors for Small and Medium Enterprises Owners Based on Owning Tax Knowledge

  • Authors: Nguyen Ngoc Khanh Dung, Dang Anh Tuan, Bui Thi Thu Thao
  • Journal: Journal of Law and Sustainable Development
  • Year: 2023

Financial distress prediction of listed companiesโ€“empirical evidence on the Vietnamese stock market

  • Authors: Tran Quoc Thinh, Dang Anh Tuan, Nguyen Thanh Huy, Tran Ngoc Anh Thu
  • Journal: Innovations
  • Year: 2021

Development of Audit Risk Model Applied in Public Investment Project Audit: The State Audit in Vietnam

  • Authors: Dang Anh Tuan, Nguyen Ngoc Khanh Dung.
  • Journal: Social Space
  • Year: 2023

TESTING THE INFLuENCE OF FACTORS ON THE TIMELINESS OF FINANCIAL REPORTINGโ€“EMPIRICAL EVIDENCE OF VIETNAMESE LISTED ENTERPRISES

  • Authors: Tran Quoc Thinh, Dang Anh Tuan, Luu Chi Danh
  • Journal: Innovations
  • Year: 2022

Dr. Kais Belwafi | Augmented Reality | Best Researcher Award

Dr. Kais Belwafi | Augmented Reality | Best Researcher Award

Doctorate at University of Sharjah, United Arab Emirates

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Publications

A Vision Language Correlation Framework for Screening Disabled Retina

  • Authors: Hassan, T., Raja, H., Belwafi, K., Yousaf, J., Ghazal, M.
  • Journal: IEEE Journal of Biomedical and Health Informatics
  • Year: 2024

Neurological Disorder Diagnosis through Deep Residual Network-based EEG Signal Analysis

  • Authors: Jridi, A., Djemal, R., Belwafi, K.
  • Journal: 7th IEEE International Conference on Advanced Technologies, Signal and Image Processing, ATSIP
  • Year: 2024

Enhancing Circuit Authentication through Secure Isolation

  • Authors: Belwafi, K., Alshamsi, H., Ahmed, A., Shoufan, A.
  • Journal: Proceedings – IEEE International Symposium on Circuits and Systems
  • Year: 2024

Software Usability Testing Using EEG-Based Emotion Detection and Deep Learning

  • Authors: Gannouni, S., Belwafi, K., Aledaily, A., Aboalsamh, H., Belghith, A.
  • Journal: Sensors
  • Year: 2023

Light-Weight Security Protocol and Data Model for Chip-to-Chip Zero-Trust

  • Authors: Ahmed, A., Shoufan, A., Belwafi, K.
  • Journal: IEEE Access
  • Year: 2023

Assoc Prof Dr. Peixian Zhuang | Image Processing | Best Researcher Award

Assoc Prof Dr. Peixian Zhuang | Image Processing | Best Researcher Award

Peixian Zhuang at University of Science and Technology Beijing, China

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Publications

CVANet: Cascaded visual attention network for single image super-resolution

  • Authors: Weidong Zhang, Wenyi Zhao, Jia Li, Peixian Zhuang, Haihan Sun, Yibo Xu, Chongyi Li
  • Journal: Neural Networks
  • Year: 2024

Underwater image enhancement via piecewise color correction and dual prior optimized contrast enhancement

  • Authors: Weidong Zhang, Songlin Jin, Peixian Zhuang, Zheng Liang, Chongyi Li
  • Journal: IEEE Signal Processing Letters
  • Year: 2023

Non-uniform illumination underwater image restoration via illumination channel sparsity prior

  • Authors: Guojia Hou, Nan Li, Peixian Zhuang, Kunqian Li, Haihan Sun, Chongyi Li
  • Journal: IEEE Transactions on Circuits and Systems for Video Technology
  • Year: 2023

Gacnet: Generate adversarial-driven cross-aware network for hyperspectral wheat variety identification

  • Authors: Weidong Zhang, Zexu Li, Guohou Li, Peixian Zhuang, Guojia Hou, Qiang Zhang, Chongyi Li
  • Journal: IEEE Transactions on Geoscience and Remote Sensing
  • Year: 2023

Underwater image enhancement via minimal color loss and locally adaptive contrast enhancement

  • Authors: Weidong Zhang, Peixian Zhuang, Hai-Han Sun, Guohou Li, Sam Kwong, Chongyi Li
  • Journal: IEEE Transactions on Image Processing
  • Year: 2022

Mr. Bamidele Omotara | Pharmaceutical | Research Impact Award

Mr. Bamidele Omotara | Pharmaceutical | Research Impact Award

Bamidele Omotara at University of New Haven, United States

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๐ŸŽ“ Early Academic Pursuits

Mr. Bamidele Omotara embarked on an academic journey that laid a strong foundation in chemistry. He earned a Bachelor of Science in Chemistry from Ekiti State University in Nigeria, where he developed a deep understanding of chemical principles. This was further enhanced by a Master of Science in Chemistry from the University of New Haven, equipping him with advanced knowledge and practical skills.

๐Ÿ’ผ Professional Endeavors

Mr. Bamidele has amassed four years of hands-on experience in quality control within the food and pharmaceutical industries. His role as a Quality Control Analyst at Peace Standard Pharmaceutical Industries allowed him to ensure the safety and efficacy of products through rigorous testing and compliance with regulatory standards. He has also volunteered as a Computational Chemist at Bytewave Technologies, where he applies simulations to drug design, showcasing his versatility and commitment to the field.

๐Ÿ”ฌ Contributions and Research Focus

In his voluntary position, Bamidele focuses on computational drug design, employing molecular dynamics and docking techniques to explore the interactions of small molecules with proteins. His contributions aim to pave the way for innovative therapies, emphasizing his dedication to scientific research and advancement.

๐ŸŒ Impact and Influence

Through his extensive experience in quality control, Bamidele has significantly influenced the adherence to good manufacturing practices (GMP) and regulatory compliance in the pharmaceutical sector. His efforts in managing quality systems have helped ensure safe products for consumers, highlighting his commitment to public health and safety.

๐Ÿ“š Academic Citations

Mr. Bamideleโ€™s academic achievements are supported by his proficiency in laboratory instrumentation and analytical techniques, including Gas Chromatography (GC), High-Performance Liquid Chromatography (HPLC), and UV-VIS Spectrometry. His knowledge of cGMP and FDA guidelines is essential for maintaining the highest quality standards in pharmaceutical manufacturing.

๐Ÿ› ๏ธ Technical Skills

  • Analytical Instrumentation:ย Skilled in using GC, HPLC, and UV-VIS Spectrophotometry.
  • Data Management:ย Familiar with Laboratory Information Management Systems (LIMS) and Microsoft Office.
  • Regulatory Compliance:ย Strong knowledge of cGMP, FDA guidelines, and quality assurance processes.

๐Ÿ“– Teaching Experience

While Mr. Bamidele has primarily focused on professional roles, his experience mentoring production personnel in quality control procedures highlights his ability to communicate complex scientific concepts effectively. This skill not only aids in team development but also fosters a culture of quality and safety in the workplace.

๐ŸŒฑ Legacy and Future Contributions

Mr. Bamidele aims to leave a lasting legacy in the field of chemistry by continuing to push the boundaries of pharmaceutical research and quality control. His commitment to innovation and public health will drive his future contributions, as he seeks to develop safer and more effective therapeutic solutions.

 

Publications

Computational-based drug design of novel small molecules targeting p53-MDMX interaction

  • Authors: Abel Ujaigbe Egbemhenghe, Olajide Enoch Aderemi, Bamidele Samson Omotara, Faith Iyayi Akhimien, Faith Osaretin Osabuohien, Habeebulah Ajibola Adedapo, Oluwakemi Rita Temionu, Winner Amaka Egejuru, Chinedum Favour Ajala, Meejay Francis Ihunanya, Oluwatosin Oluwafunmilola Oluwafemi, Chinyere Felicia Duncan Onu, Abosede Christiana Ajibare, Christopher Ddamulira, Justin Onyekachukwu Abalum, Olanrewaju Michael Afolayan
  • Journal: Journal of Biomolecular Structure and Dynamics
  • Year: 2024

Identification of promising small-molecule inhibitors targeting STK17B for cancer therapeutics: molecular docking and molecular dynamics investigations

  • Authors: Modinat Wuraola Akinboade, Abel Ujaigbe Egbemhenghe, Teslim Oluwaseyi Abdulkareem, Ismail Abiola Ibrahim, Bamidele Samson Omotara, Olajide Enoch Aderemi, Winner Amaka Egejuru, Chinedum Favour Ajala, Ihunanya Meejay Kanu, Oluwatosin Oluwafunmilola Oluwafemi, Christiana Oluwaseun Aderemi, Christopher Ddamulira, Akinwumi Raphael Afuape, Adedayo Toluwanimi Adekola, Toluwalase Ojeyemi, Osasenaga Israel Otuomagie
  • Journal: Journal of Biomolecular Structure and Dynamics
  • Year: 2023

Identification of novel immuno-oncology compounds as VISTA-inhibitors for cancer therapy: A computational approach integrating virtual screening and molecular dynamics simulation

  • Authors: Winner Amaka Egejuru, Olajide Enoch Aderemi, Abel Ujaigbe Egbemhenghe, Muhammad Qasim Ali, Dolapo Emmanuel Opasina, Cyril Obaro Agadagba, Emmanuel Parkay Oladokun, Ibrahim Tope Abdulrazaq, Maryam Folake Ayinla, Abiodun Bamidele, Olamide Oluwagbeminiyi Alayemi, Latifat Akorede Adebowale, Folakemi Monsurat Adebayo, Bamidele Samson Omotara
  • Journal: Informatics in Medicine Unlocked
  • Year: 2024

Dr. Shao Cuiping | System Security | Best Researcher Award

Dr. Shao Cuiping | System Security | Best Researcher Award

Doctorate at Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China

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Education

  • Ph.D. in Computer Application Technologyย (University of Chinese Academy of Sciences, 2019)
  • M.Eng. in Microelectronicsย (Xi’an Institute of Microelectronics Technology, 2012)
  • B.Eng. in Electronic Science and Technologyย (Xi’an University of Technology, 2009)

๐Ÿ”ฌย Research Interests

  • System Securityย 
  • IC Testability and Reliabilityย 
  • Heterogeneous Chip Optimization Design

๐Ÿ† Awards

  • High-Level Talent Recognition (Shenzhen City)
  • 2020 Guangdong Province Science and Technology Progress Award (2nd Prize)ย 
  • 2020 Shenzhen City Science and Technology Progress Award (1st Prize)ย 
  • 2019 Wu Wenjun Artificial Intelligence Science and Technology Award (3rd Prize)ย 
  • Six-Time โ€œExcellent Employeeโ€ Award at SIAT
  • โ€œEnergetic Rose Awardโ€ for SIATโ€™s 15th Anniversaryย 
  • 7 Innovation Awards from SIAT

๐Ÿ› ๏ธ Work Experience

  • Research Intern & Assistant Researcher (Shenzhen Institute of Advanced Technology, CAS)
  • Associate Researcher (2020-2024)

๐Ÿ“‹ Service & Influence

  • Project Reviewer (Guangdong Provincial Department of Science and Technology)
  • Expert Committee Member (Shenzhen Commercial Cryptography Industry Association)
  • Senior Member (China Computer Federation)
  • Member (Chinese Institute of Electronics)
  • Reviewer for IEEE Transactions on VLSI Systems, Circuits and Systems I, and Dependable and Secure Computing

 

Publications

Probabilistic Model-Based Reinforcement Learning Unmanned Surface Vehicles Using Local Update Sparse Spectrum Approximation

  • Authors: Yunduan Cui, Wenbo Shi, Huan Yang, Cuiping Shao, Lei Peng, Huiyun Li
  • Journal: IEEE Transactions on Industrial Informatics
  • Year: 2023

Anomaly recognition method of perception system for autonomous vehicles based on distance metric

  • Authors: Cuiping Shao, Beizhang Chen, Zujia Miao, Yunduan Cui, Huiyun Li
  • Journal: Electronics Letters
  • Year: 2022

Detection of security vulnerabilities in cryptographic ICs against fault injection attacks based on compressed sensing and basis pursuit

  • Authors: Cuiping Shao, Dongyan Zhao, Huiyun Li, Song Cheng, Shunxian Gao, Liuqing Yang
  • Journal: Journal of Cryptographic Engineering
  • Year: 2024

The Bitmap Decryption Model on Interleaved SRAM Using Multiple-Bit Upset Analysis

  • Authors: Jinlong Guo, Guangbo Mao, Wenjing Liu, Cuiping Shao, Ruqun Wu, Yaning Li, Jing Zhao, Cheng Shen, Hongjin Mou, Lei Zhang, Huiyun Li, Guanghua Du
  • Journal: IEEE Transactions on Nuclear Science
  • Year: 2022

Data redundancy mitigation in V2X based collective perceptions

  • Authors: Hui Huang, Huiyun Li, Cuiping Shao, Tianfu Sun, Wenqi Fang, Shaobo Dang
  • Journal: IEEE Access
  • Year: 2020

Assist Prof Dr. Sina Fard Moradinia | Machine Learning | Editorial Board Member

Assist Prof Dr. Sina Fard Moradinia | Machine Learning | Editorial Board Member

Sina Fard Moradinia at Islamic Azad University, Iran

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Summary

Dr. Sina Fard Moradinia is a dedicated Assistant Professor in Civil Engineering with over 20 years of experience specializing in water resources management. He has made significant contributions to both academia and industry through research, teaching, and numerous projects. Dr. Moradinia has been involved in leadership roles, including serving as the Head of the Water Resources Management Working Group and a member of various scientific councils and committees. He is also an accomplished author with expertise in project management, hydraulic structures, and innovative water management techniques.

Education

  • Ph.D. in Civil Engineering (Water Resources)ย โ€“ Iran University of Science and Technology, Tehran, Iran, 2014

๐Ÿ’ผ Professional Experience

  • Assistant Professorย โ€“ Islamic Azad University, Tabriz (2002โ€“Present)
  • Head of Water Resources Management Working Groupย โ€“ East Azerbaijan Province Elite Foundation
  • University Representativeย โ€“ Skills Training and Career Counseling Center
  • Civil Engineering Expertย โ€“ Faraz Ab Consulting Engineers
  • Engineering Services Expertย โ€“ Dam and Network Activities, River Engineering

๐Ÿ”ฌย Research Interests

Dr. Moradinia’s research interests focus on water resources management, hydraulic structures, and construction project optimization. His work spans advanced machine learning applications in flood risk assessment, time and cost management in dam projects, and BIM integration in civil engineering. He is also actively engaged in addressing environmental issues such as controlling dust storms in the Urmia Lake basin.

 

Publications

Economic and environmental analysis of EVs’ in urban transportation using system dynamics

  • Authors: Azarnoosh, Z., Moradinia, S.F., Golchin, B., Jani, R.
  • Journal: Sustainable Futures
  • Year: 2024

A novel approach to flood risk zonation: integrating deep learning models with APG in the Aji Chay catchment

  • Authors: Bina, A.A., Moradinia, S.F.
  • Journal: Aqua Water Infrastructure, Ecosystems and Society
  • Year: 2024

Waveletโ€“ANN hybrid model evaluation in seepage prediction in nonhomogeneous earthen dams

  • Authors: Fatehi-Nobarian, B., Fard Moradinia, S.
  • Journal: Water Practice and Technology
  • Year: 2024

Time and Cost Management in Water Resources Projects Utilizing the Earned Value Method

  • Authors: Hussein, A.R., Moradinia, S.F.
  • Journal: Journal of Studies in Science and Engineering
  • Year: 2024

The prediction of precipitation changes in the Aji-Chay watershed using CMIP6 models and the wavelet neural network

  • Authors: Khoramabadi, F., Moradinia, S.F.
  • Journal: Journal of Water and Climate Change
  • Year: 2024

Assist Prof Dr. Tiande Wen | 3D Computer Vision | Best Researcher Award

Education

  • B.S. in Mechanical Engineering and Automation, Jiangxi University of Science and Technology (2010-2014)
  • Ph.D. in Geotechnical and Environmental Mechanics, Dalian University of Technology (2016-2019)

๐Ÿ’ผ Professional Experience

  • Postdoctoral Researcher, Shenzhen University (2019-2021)
  • Assistant Professor, Shantou University (2021-Present)

๐Ÿ”ฌย Research Focus

  • Microscopic pore structure and hydraulic characteristics of unsaturated soils
  • Improved micromicrostructure and water-force characteristics of granite residual soil

๐Ÿ“ˆ Current Projects

Host of multiple research projects, including those funded by the National Natural Science Foundation of China and Guangdong Province, focusing on unsaturated soil experiments and numerical simulations.

Publications

Carbon fiber and PVA fiber reinforced concrete: Electrical resistivity and piezoresistive properties

  • Authors: Tang, M., Chen, X., Luo, Y., Gao, L., Wen, T.
  • Journal: Materials Letters
  • Year: 2024

Effects of representative elementary volume size on three-dimensional pore characteristics for modified granite residual soil

  • Authors: Wen, T., Luo, Y., Tang, M., Chen, X., Shao, L.
  • Journal: Journal of Hydrology
  • Year: 2024

Employing novel N-doped graphene quantum dots to improve chloride binding of cement

  • Authors: He, H., E, S., Wen, T., He, C., Yu, Y.
  • Journal: Construction and Building Materials
  • Year: 2023

Three-dimensional pore structure characteristics of granite residual soil and their relationship with hydraulic properties under different particle gradation by X-ray computed tomography

  • Authors: Wen, T., Chen, X., Luo, Y., Shao, L., Niu, G.
  • Journal: Journal of Hydrology
  • Year: 2023

Oneโˆ’Dimensional Seepage of Unsaturated Soil Based on Soilโˆ’Water Characteristic Curve

  • Authors: Shao, L., Wu, S., Guo, X., Wen, T.
  • Journal: Processes
  • Year: 2022

Assoc Prof Dr. Jiuchuan Guo | Biosensor Technology | Best Researcher Award

Assoc Prof Dr. Jiuchuan Guo | Biosensor Technology | Best Researcher Award

Jiuchuan Guo at University of Electronic Science and Technology of China, China

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Summary

Assoc Prof Dr. Jiuchuan Guo is a dedicated researcher at the University of Electronic Science and Technology of China. His work centers around biosensor technology, with a focus on multi-modal biological microprobe sensing mechanisms and AI-driven biosensor development. He addresses challenges like low-abundance molecule detection, improving sensitivity, and reducing interference in biosensors.

Education

Assoc Prof Dr. Guo completed his education in Information and Communication Engineering, specializing in biosensor technologies.

Professional Experience

With extensive research experience, he has published 13 first-author papers, including highly impactful works in leading journals such as IEEE Trans, Biosensors and Bioelectronics, and Analytical Chemistry. He also holds 6 patents and was awarded the prestigious State Sponsored Postdoctoral Fellowship and the 2023 Science and Technology Progress Award.

๐Ÿ”ฌ Research Interests

Assoc Prof Dr. Guoโ€™s research spans the development of portable biosensors, functionalized nanoprobes, and AI algorithms to enhance biosensor performance.

Publications

Overview of therapeutic drug monitoring and clinical practice

  • Authors: Zijun Fang, He Zhang, Jiuchuan Guo, Jinhong Guo
  • Journal: Talanta
  • Year: 2024

Minimally invasive electrochemical continuous glucose monitoring sensors: Recent progress and perspective

  • Authors: Yuanyuan Zou, Zhengkang Chu, Jiuchuan Guo, Shan Liu, Xing Ma, Jinhong Guo
  • Journal: Biosensors and Bioelectronics
  • Year: 2023

Organ-on-a-chip: A new tool for in vitro research

  • Authors: Jiasheng Yan, Ziwei Li, Jiuchuan Guo, Shan Liu, Jinhong Guo
  • Journal: Biosensors and Bioelectronics
  • Year: 2022

Integrated electrochemical lateral flow immunoassays (eLFIAs): recent advances

  • Authors: Jie Cheng, Guopan Yang, Jiuchuan Guo, Shan Liu, Jinhong Guo
  • Journal: Analyst
  • Year: 2022

Platelet detection based on improved YOLO_v3

  • Authors: Renting Liu, Chunhui Ren, Miaomiao Fu, Zhengkang Chu, Jiuchuan Guo
  • Journal: Cyborg and Bionic Systems
  • Year: 2022