Dr. Ghulam Murtaza | Image Processing | Best Academic Researcher Award

Dr. Ghulam Murtaza | Image Processing | Best Academic Researcher Award

Doctorate at National University of Modern Languages, Pakistan

👨‍🎓 Profiles

Scopus

Orcid

📌 Summary

Dr. Ghulam Murtaza is an Assistant Professor in the Department of Mathematics at the National University of Modern Languages (NUML), Islamabad. His research focuses on developing new mathematical models in cryptography, particularly in elliptic curve and chaotic maps-based cryptosystems. With a passion for innovation, he mentors students and actively contributes to cutting-edge research in mathematical cryptography and machine learning-based cryptosystems.

🎓 Education

  • PhD in Mathematics (2019–2023) – Quaid-i-Azam University
    Dissertation: Image Cryptosystems Using Elliptic Curve Cryptography

  • MPhil in Mathematics (2015–2017) – Quaid-i-Azam University
    Dissertation: Learning From Data Using Algebraic Geometry

  • MSc in Mathematics (2013–2015) – Quaid-i-Azam University

  • BSc in Mathematics & Physics (2010–2012) – Bahauddin Zakariya University

👨‍🏫 Professional Experience

  • Assistant Professor – NUML, Islamabad (2023–Present)

  • Visiting Assistant Professor – Quaid-i-Azam University (2023)

  • Visiting Lecturer – Quaid-i-Azam University (2023–2024)

  • Lecturer – University of Lahore, Pakpattan Campus (2017–2019)

🏆 Awards & Honors

  • First-class academic record from Matric to MPhil

  • Mrs. Rehmat Shahbuddin Memorial Scholarship (MSc, 2013–2015)

  • Merit Scholarship – Quaid-i-Azam University

  • Shahbaz Sharif Youth Initiative Laptop Scheme (2012)

🔬 Research Interests

  • Elliptic Curve Cryptography

  • Chaotic Maps-Based Cryptography

  • Machine Learning for Cryptosystems

  • Dynamical Systems & Isogeny-Based Cryptography

 

Publications

Efficient Image Encryption Algorithm Based on ECC and Dynamic S-Box

  • Author: Ghulam Murtaza, Umar Hayat
    Journal: Journal of Information Security and Applications
    Year: 2025

Enumerating Discrete Resonant Rossby/Drift Wave Triads and Their Application in Information Security

  • Author: Umar Hayat, Ikram Ullah, Ghulam Murtaza, Naveed Ahmed Azam, Miguel D. Bustamante
    Journal: Mathematics
    Year: 2022

Designing an Efficient and Highly Dynamic Substitution-Box Generator for Block Ciphers Based on Finite Elliptic Curves

  • Author: Ghulam Murtaza, Naveed Ahmed Azam, Umar Hayat, Iqtadar Hussain
    Journal: Security and Communication Networks
    Year: 2021

Mr. Jiahao Nie | Image Processing | Best Researcher Award

Mr. Jiahao Nie | Image Processing | Best Researcher Award

Hangzhou Dianzi University, China

👨‍🎓 Profiles

Scopus

Google Scholar

📌 Summary

Mr. Jiahao Nie is a dedicated Ph.D. candidate at Hangzhou Dianzi University (HDU) and Hanyang University (HYU), specializing in computer vision, 2D image processing, and 3D point cloud processing. Under the guidance of Prof. Zhiwei He and Assoc. Prof. Dong-Kyu Chae, he is actively engaged in cutting-edge research in autonomous driving and object tracking.

🎓 Education

  • Ph.D. in Electronic Science and Technology (HDU, 2022-2025)
  • Joint Ph.D. in Computer Science (HYU, 2024-2025)
  • B.Eng. in Electronic Information Engineering (HDU, 2020-2022)

🔬 Research Interests

His research is primarily focused on computer vision, including 2D image processing, 3D point cloud processing, and object tracking for autonomous driving.

🏆Honors & Awards

  • Ph.D. National Scholarship (Rank: 1/75) | Full Postgraduate Scholarship (2020-2025)
  • First-Class Academic Scholarship (Top 3%) | National Scholarship for Studying Abroad (2023)

📑 Academic Contributions

  • Reviewer for ICCV, CVPR, ICLR, ICML, ECCV, NeurIPS, AAAI, ACM MM
  • Presenter at ICLR (2024), IJCAI (2023), AAAI (2023)

 

Publications

TTSNet: state-of-charge estimation of Li-ion battery in electrical vehicles with temporal transformer-based sequence network

  • Authors: Zhengyi Bao, Jiahao Nie, Huipin Lin, Kejie Gao, Zhiwei He, Mingyu Gao
  • Journal: IEEE Transactions on Vehicular Technology
  • Year: 2024

A fine-grained feature decoupling based multi-source domain adaptation network for rotating machinery fault diagnosis

  • Authors: Xiaorong Zheng, Jiahao Nie, Zhiwei He, Ping Li, Zhekang Dong, Mingyu Gao
  • Journal: Reliability Engineering & System Safety
  • Year: 2024

A progressive multi-source domain adaptation method for bearing fault diagnosis

  • Authors: Xiaorong Zheng, Zhiwei He, Jiahao Nie, Ping Li, Zhekang Dong, Mingyu Gao
  • Journal: Applied Acoustics
  • Year: 2024

Dual-task learning for joint state-of-charge and state-of-energy estimation of lithium-ion battery in electric vehicle

  • Authors: Zhengyi Bao, Jiahao Nie, Huipin Lin, Zhi Li, Kejie Gao, Zhiwei He, Mingyu Gao
  • Journal: IEEE Transactions on Transportation Electrification
  • Year: 2024

TM2B: Transformer-Based Motion-to-Box Network for 3D Single Object Tracking on Point Clouds

  • Authors: Anqi Xu, Jiahao Nie*, Zhiwei He, Xudong Lv
  • Journal: IEEE Robotics and Automation Letters
  • Year: 2024

Dr. Hua Ren | Image Processing | Best Researcher Award

Dr. Hua Ren | Image Processing | Best Researcher Award

Doctorate at Henan Normal University, China

👨‍🎓 Profiles

Scopus

Orcid

📌 Summary

Dr. Hua Ren is a dedicated researcher and lecturer specializing in image security, encryption, and data hiding. His expertise lies in visually secure encryption and authentication technologies, contributing significantly to high-impact journals and research projects in these domains.

🎓 Education

  • Ph.D. in Computer Science and Technology, Beijing University of Posts and Telecommunications (2019-2023)
  • Master’s in Computer Science and Technology, Henan Normal University (2016-2019)
  • Bachelor’s in Computer Science and Technology, Henan Normal University (2012-2016)

💼 Work & Research Experience

  • Lecturer (2023-Present) – School of Computer and Information Engineering, Henan Normal University
  • Principal Investigator – Henan Science and Technology Research Project on image reversible authentication (2025-2026)

🔬 Research Interests

  • Image Security & Encryption
  • Reversible Data Hiding
  • Visual Authentication & Cryptography
  • Digital Image Processing

 

Publications

A novel reversible data hiding method in encrypted images using efficient parametric binary tree labeling

  • Authors: Hua Ren, Zhen Yue, Feng Gu, Ming Li, Tongtong Chen, Guangrong Bai
  • Journal: Knowledge-Based Systems
  • Year: 2024

Multi-scale attention context-aware network for detection and localization of image splicing

  • Authors: Ruyong Ren, Shaozhang Niu, Junfeng Jin, Jiwei Zhang, Hua Ren, Xiaojie Zhao
  • Journal: Applied Intelligence
  • Year: 2023

ERINet: Efficient and robust identification network for image copy-move forgery detection and localization

  • Authors: Ruyong Ren, Shaozhang Niu, Junfeng Jin, Keyang Xiong, Hua Ren
  • Journal: Applied Intelligence
  • Year: 2023

ESRNet: Efficient Search and Recognition Network for Image Manipulation Detection

  • Authors: Ruyong Ren, Shaozhang Niu, Hua Ren, Shubin Zhang, Tengyue Han, Xiaohai Tong
  • Journal: ACM Transactions on Multimedia Computing, Communications, and Applications
  • Year: 2022

Joint encryption and authentication in hybrid domains with hidden double random-phase encoding

  • Authors: Hua Ren, Shaozhang Niu
  • Journal: Multimedia Tools and Applications
  • Year: 2022

Prof. Nema Salem | Image Processing | Best Researcher Award

Prof. Nema Salem | Image Processing | Best Researcher Award

Professor at Effat University, Saudi Arabia

👨‍🎓 Profiles

Scopus

Orcid

Google Scholar

🎓 Early Academic Pursuits

Prof. Nema Salem’s academic journey began with a strong foundation in engineering and medical imaging. She earned her B.Sc. with honors in 1987 and later obtained her M.Sc. in 1990 from Alexandria University (AU), Egypt, specializing in mitral valve diagnosis. She further pursued her Ph.D. in “Classification of Breast Tumors by Acutance Measure and Shape Factors” through a joint program between the University of Calgary, Canada, and AU in 1996. Her early research laid the groundwork for advancements in medical diagnostics, particularly in breast cancer detection, setting the stage for a distinguished academic and research career.

🏆 Professional Endeavors

Prof. Salem’s professional trajectory spans multiple prestigious institutions. Since 1987, she has held progressive academic roles at AU, the Asian Institute of Technology (AIT), Hadramout University in Yemen, and Effat University in Saudi Arabia, where she has been an Assistant Professor since 2008. She has also served as the Chair of the Electrical and Computer Engineering Department at Effat University, contributing to curriculum development and accreditation processes such as NCAAA and ABET. Her leadership extends beyond academia, as she has organized international competitions like the IET GCC Robotics Challenge and the World Robot Olympiad, promoting innovation among young engineers.

🔬 Contributions and Research Focus

Prof. Salem’s research portfolio is marked by interdisciplinary contributions in medical imaging, artificial intelligence, control systems, and renewable energy. She has pioneered AI-driven applications, including ECG analysis, skin lesion segmentation, and glaucoma detection, enhancing the accuracy of medical diagnostics. Additionally, she has played a crucial role in renewable energy advancements, optimizing solar power generation and thermoelectric systems. Her expertise in robotics and control engineering is evident in her work on PID and LQR controllers for performance enhancement in automation and energy-efficient designs.

🌍 Impact and Influence

Prof. Salem’s influence extends beyond her research, as she actively mentors students, supervises master’s and Ph.D. theses, and collaborates with international researchers. Her dedication to fostering innovation has resulted in students winning prestigious awards, including a bronze medal at the 49th International Exhibition in Geneva. She has also contributed significantly to the academic community through her editorial roles and peer-reviewing for high-impact journals. Her recognition includes the Queen Effat Award for Teaching Excellence (2019-2020, 2022-2023) and a UK Fellowship for teaching excellence, affirming her commitment to quality education and research.

📚 Academic Citations and Publications

Prof. Salem’s research is well-documented in reputable journals and conferences. She has published extensively in IEEE Transactions on Medical Imaging, PLOS ONE, Sensors, and IEEE Access, with a strong presence in high-impact publications. Her work is widely cited, reflecting its significance in medical imaging, artificial intelligence, and renewable energy. Her research contributions are accessible via Google Scholar and the AD Scientific Index 2024, demonstrating her academic reach and influence.

💡 Technical Skills and Expertise

Prof. Salem possesses a diverse technical skill set, encompassing AI-driven signal and image processing, robotics, logic design, and renewable energy optimization. She has expertise in developing machine learning models for medical diagnostics, implementing control strategies for automation, and designing CMOS-based circuits. Her ability to integrate interdisciplinary approaches has made her a sought-after researcher in multiple domains, from biomedical engineering to energy-efficient systems.

📖 Teaching and Mentorship

With over three decades of teaching experience, Prof. Salem has played a pivotal role in shaping the next generation of engineers. She has designed and delivered courses in signal processing, artificial intelligence, control systems, and electronics. Her student-centered approach has been recognized through multiple teaching awards. She actively engages in student mentorship, encouraging innovative research projects and guiding them to success in international competitions and academic publishing.

🔮 Legacy and Future Contributions

Prof. Salem’s legacy is defined by her relentless pursuit of innovation and knowledge dissemination. Her research continues to push the boundaries of technology, particularly in AI-driven healthcare and renewable energy systems. She remains committed to mentoring students, expanding research collaborations, and advancing engineering education. Through her leadership, she aims to drive impactful change in medical diagnostics, sustainable energy, and robotics, ensuring a lasting influence in academia and industry.

 

Publications

Artificially Intelligent Detection of Retinal Pigment Sign Using P3S-Net for Retinitis Pigmentosa Analysis

  • Authors: Syed Muhammad Ali Imran, Abida Hussain, Nema Salem, Muhammad Arsalan
    Journal: Results in Engineering
    Year: 2025

Causal Speech Enhancement Using Dynamical-Weighted Loss and Attention Encoder-Decoder Recurrent Neural Network

  • Authors: Fahad Khalil Peracha, Abdullah M. Mutawa, Muhammad Irfan Khattak, Nema Salem, Nasir Saleem
    Journal: PLOS ONE
    Year: 2023

Artificial Intelligence-Based Detection of Human Embryo Components for Assisted Reproduction by In Vitro Fertilization

  • Authors: Abeer Mushtaq, Maria Mumtaz, Ali Raza, Nema Salem, Muhammad Naveed Yasir
    Journal: Sensors
    Year: 2022

Automated Diagnosis of Leukemia: A Comprehensive Review

  • Authors: Afshan Shah, Syed Saud Naqvi, Khuram Naveed, Nema Salem, Mohammad A. U. Khan, Khurram S. Alimgeer
    Journal: IEEE Access
    Year: 2021

DAVS-NET: Dense Aggregation Vessel Segmentation Network for Retinal Vasculature Detection in Fundus Images

  • Authors: Mohsin Raza, Khuram Naveed, Awais Akram, Nema Salem, Amir Afaq, Hussain Ahmad Madni, Mohammad A. U. Khan, Mui-zzud-din
    Journal: PLOS ONE
    Year: 2021

Mr. Ivanol Jaurece Djeukeu | Image Processing | Best Researcher Award

Mr. Ivanol Jaurece Djeukeu | Image Processing | Best Researcher Award

Ivanol Jaurece Djeukeu at Albert-Ludwigs-Universität Freiburg, Germany

Profile

Orcid

Summary

Mr. Ivanol Jaurece Djeukeu is a dedicated researcher and engineer with expertise in mechatronics, robotics, and sustainable systems. With a strong academic foundation and professional experience in software and hardware development, he is currently pursuing his Ph.D. in Sustainable Systems Engineering at Albert-Ludwigs-Universität Freiburg. His work focuses on the rapid characterization of Perovskite-Silicon tandem solar cells, contributing to advancements in renewable energy technologies.

Education

  • Ph.D. in Sustainable Systems Engineering (09/2023 – Present)
    Albert-Ludwigs-Universität Freiburg, Germany
  • Master of Science in Mechatronics and Robotics (04/2020 – 04/2022)
    Frankfurt University of Applied Sciences, Germany
    Thesis: Development of a prototype OPC UA server for an Open Edge Computing Platform
    Grade: 1.5
  • Bachelor of Engineering in Mechatronics (10/2015 – 08/2017)
    Frankfurt University of Applied Sciences, Germany
    Thesis: Concept development for intensity regulation of LEDs with different wavelengths (Full Spectrum)
    Grade: 1.8
  • Baccalaureat C (Mathematics and Physics) (09/2007 – 06/2014)
    Collège Ebanda Yaounde, Cameroon

🔬 Research Interests

  • Renewable energy systems and technologies
  • Advanced solar cell characterization
  • Mechatronics and robotics
  • Sustainable systems engineering
  • Edge computing and industrial automation

💼 Professional Experience

  • Scientific Researcher (05/2023 – Present)
    halm elektronik GmbH, Frankfurt am Main, Germany

    • Developing measurement techniques for rapid characterization of Perovskite-Silicon tandem solar cells.
  • Master’s Thesis & Internship in Software Development (C/C++) (09/2021 – 02/2022)
    Hilscher Gesellschaft für Systemautomation mbH, Hattersheim, Germany

    • Developed a prototype OPC UA server for an Open Edge Computing Platform.
  • Hardware Development Intern & Student Assistant (04/2020 – 04/2021)
    halm elektronik GmbH, Frankfurt am Main, Germany

    • Developed electronic circuits for test systems and conducted intensity regulation research for LEDs.
  • Tutor in Mathematics and Physics (11/2017 – 02/2020)
    Frankfurt University of Applied Sciences, Germany

    • Guided students in projects and courses on FPGA, Microcontroller Technology, and Matlab & Simulink.

Publication

Subcell‐Resolved Electroluminescence Imaging of Monolithic Perovskite/Silicon Tandem Solar Cell for High‐Throughput Characterization

  • Authors: Ivanol Jaurece Djeukeu, Jonas Horn, Michael Meixner, Enno Wagner, Stefan W. Glunz, Klaus Ramspeck
  • Journal: Solar RRL
  • Year: 2024

Dr. Yue Cao | Image Processing | Best Researcher Award

Dr. Yue Cao | Image Processing | Best Researcher Award

Doctorate at Harbin Institute of Technology, China

Profile

Google Scholar

📋 Summary

Yue Cao is a Ph.D. candidate at Harbin Institute of Technology, specializing in computational imaging. His work focuses on noise modeling and image enhancement in extreme low-light conditions, making significant strides in sensor technology and image processing.

Education

  • Ph.D., Computer Application Technology (Sep. 2020 – Present), Harbin Institute of Technology
  • M.S., Computer Software and Theory (Sep. 2017 – Aug. 2020), Shaanxi Normal University
  • B.S., Software Engineering (Sep. 2010 – Aug. 2014), Inner Mongolia University

💼 Internship Experience

  • Industry-Academia-Research Project Intern
    OPPO Research Institute, Shenzhen
    Feb. 2023 – Feb. 2024 (estimated)
    Engaged in noise modeling and parameter calibration of mobile phone sensors, as well as joint denoising, demosaicking, and super-resolution tasks in extremely low-light conditions related to smartphone sensor technology.

🏆 Selected Awards

  • 2020: Winner Award, NTIRE Real Image Denoising Challenge – rawRGB Track
  • 2020: 3rd Place Award, NTIRE Real Image Denoising Challenge – sRGB Track
  • 2014: Outstanding Graduate of Inner Mongolia Autonomous Region, P.R. China
  • 2012: Excellent Three Merit Student Award of Inner Mongolia Autonomous Region, P.R. China

🔬 Research Interests

Dr. Yue’s research interests include noise modeling, image denoising, demosaicking, super-resolution, and sensor technology, with a particular focus on improving imaging performance in challenging environments.

Publications

Physics-guided iso-dependent sensor noise modeling for extreme low-light photography

  • Authors: Yue Cao, Ming Liu, Shuai Liu, Xiaotao Wang, Lei Lei, Wangmeng Zuo
  • Year: 2023

Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment

  • Authors: Yue Cao, Zhaolin Wan, Dongwei Ren, Zifei Yan, Wangmeng Zuo
  • Year: 2022

Pseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image Denoiser

  • Authors: Yue Cao, Xiaohe Wu, Shuran Qi, Xiao Liu, Zhongqin Wu, Wangmeng Zuo
  • Year: 2021

Unpaired learning of deep image denoising

  • Authors: Xiaohe Wu, Ming Liu, Yue Cao, Dongwei Ren, Wangmeng Zuo
  • Year: 2020

Ntire 2020 challenge on real image denoising: Dataset, methods and results

  • Authors: Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S Brown
  • Year: 2020

Dr. Tirumala Vasu | Image Processing | Excellence In Research

Dr. Tirumala Vasu | Image Processing | Excellence In Research

Doctorate at Presidency University, India

Profiles

Scopus

Orcid

Google Scholar

Academic Background:

Dr. G. Tirumala Vasu is an accomplished Assistant Professor in the E.C.E Department at Presidency University, Bangalore, Karnataka, with over 14 years of extensive experience in academia. He is known for his dedication to teaching, research, and development in the field of Electronics and Communication Engineering. Dr. Vasu has made significant contributions to the academic community, publishing numerous research papers, presenting at national and international conferences, and securing patents. He has a strong background in Digital Image Processing, Deep Learning, and Digital Signal Processing, among other areas. He has also been recognized for his outstanding teaching and research efforts with various awards and honors.

Education:

Dr. Vasu earned his Ph.D. from the National Institute of Technology (NIT), Tiruchirappalli in February 2024, with a thesis titled “Multi Focus, Multi Exposure and Multi Sensor Image Fusion Using Edge Preserving Filters”. He holds an M.Tech in Digital Electronics and Communication Systems from JNTU Anantapur, completed in 2009 with first-class distinction, and a B.Tech in Electronics and Communication Engineering from Sri Venkateswara University, Tirupati, completed in 2007. Additionally, he has distinguished himself academically since his early education, consistently achieving first-class distinction throughout his studies.

Professional Experience:

Dr. Vasu has been serving as an Assistant Professor at Presidency University, Bangalore since July 2018. Previously, he held the same position at Siddharth Institute of Engineering and Technology, Puttur, Andhra Pradesh from June 2012 to May 2018, and at Regency Institute of Technology, Yanam, UT of Puducherry from December 2010 to June 2012. He began his academic career at KSRM College of Engineering, Kadapa, Andhra Pradesh, where he worked from August 2009 to December 2010. Throughout his career, Dr. Vasu has taught a wide range of subjects including Computational Intelligence, Machine Learning, Digital Signal Processing, and more. He has also been actively involved in various academic and research coordination roles.

Research Interests:

Dr. Vasu’s research interests are diverse and include Digital Image and Video Processing, Deep Learning and Machine Learning, Digital Signal Processing, 5G OTFS, Electromagnetic Waves and Transmission Lines, and Antennas and Wave Propagation. He has published 28 papers in international journals, presented at numerous conferences, and published 11 patents. His work has earned him accolades such as Best Paper awards and recognition for his innovative contributions to the field of Electronics and Communication Engineering.

 Publications:

Medical image registration with object deviation estimation through motion vectors using octave and level sampling
  • Authors: Nagarathna, P., Jeelani, A., Fiza, S., Vasu, G.T., Seelam, K.
  • Journal: Automatica
  • Year: 2024
Multi-exposure image fusion using structural weights and visual saliency map
  • Authors: Tirumala Vasu, G., Palanisamy, P.
  • Journal: Multimedia Tools and Applications
  • Year: 2024
Visible and Infrared Image Fusion Using Distributed Anisotropic Guided Filter
  • Authors: Vasu, G.T., Palanisamy, P.
  • Journal: Sensing and Imaging
  • Year: 2023
Improved chimp optimization algorithm (ICOA) feature selection and deep neural network framework for internet of things (IOT) based android malware detection
  • Authors: G.T.V., Fiza, S., Kumar, A.K., Kumar, C.N., Kubra, A.
  • Journal: Measurement: Sensors
  • Year: 2023
CT and MRI multi-modal medical image fusion using weight-optimized anisotropic diffusion filtering
  • Authors: Vasu, G.T., Palanisamy, P.
  • Journal: Soft Computing
  • Year: 2023

Prof. Zhi Gao | Image Processing | Best Researcher Award

Prof. Zhi Gao, Image Processing, Best Researcher Award

Zhi Gao at Wuhan University, China

Professional Profile

Summary:

Zhi Gao is a highly accomplished Professor and Doctoral Supervisor at the School of Remote Sensing and Information Engineering, Wuhan University. He holds prestigious positions as the National Young Talent Program and Distinguished Professor of Hubei Province, China. With a solid background in engineering and extensive experience in academia and research, he has built strong collaborative networks with renowned universities and institutions worldwide.

👩‍🎓Education:

Zhi Gao received his Bachelor of Engineering (B.Eng.) and Doctor of Philosophy (Ph.D.) degrees from Wuhan University, China, in 2002 and 2007, respectively. His educational background provides him with a strong foundation in his field.

🧬 Work Experience:

Zhi Gao’s professional journey reflects a wealth of experience in both academia and industry. Highlights of his career include:

  • Research Fellow (A) and Project Manager at the Interactive and Digital Media Institute, National University of Singapore (NUS), Singapore, since 2008.
  • Research Scientist (A) at the Temasek Laboratories, NUS, contributing significantly to research endeavors.
  • Building strong collaborative relationships with prestigious institutions globally, including the Temasek Laboratory, National University of Singapore, Carnegie Mellon University Robotics Institute, Robert Gordon University, The Chinese University of Hong Kong, Beijing Normal University, and Beijing Institute of Technology.

Research Interests:

  • Computer Vision
  • Machine Learning
  • Remote Sensing
  • UAV-based Surveillance Research and Applications

Publications Top Noted:

Paper Title: Exploring the relationship between land use change patterns and variation in environmental factors within urban agglomeration
  • Authors: Xiao, R., Yin, H., Liu, R., Liu, L., Jia, T.
  • Journal: Sustainable Cities and Society
  • Volume: 108
  • Pages: 105447
  • Year: 2024
  • Citations: 0
Paper Title: Tracking by Detection: Robust Indoor RGB-D Odometry Leveraging Key Local Manhattan World
  • Authors: Zhou, Z., Gao, Z., Xu, J.
  • Journal: IEEE Robotics and Automation Letters
  • Volume: 9
  • Issue: 6
  • Pages: 4990–4997
  • Year: 2024
Paper Title: How Challenging is a Challenge? CEMS: a Challenge Evaluation Module for SLAM Visual Perception
  • Authors: Zhao, X., Gao, Z., Li, H., Fang, H., Chen, B.M.
  • Journal: Journal of Intelligent and Robotic Systems: Theory and Applications
  • Volume: 110
  • Issue: 1
  • Pages: 42
  • Year: 2024
  • Citations: 0
Paper Title: TJ-FlyingFish: An Unmanned Morphable Aerial–Aquatic Vehicle System
  • Authors: Liu, X., Dou, M., Yan, R., Chen, J., Chen, B.M.
  • Journal: Unmanned Systems
  • Volume: 12
  • Issue: 2
  • Pages: 409–428
  • Year: 2024
  • Citations: 1
Paper Title: WaterFormer: A Global-Local Transformer for Underwater Image Enhancement With Environment Adaptor
  • Authors: Wen, J., Cui, J., Yang, G., Dou, L., Chen, B.M.
  • Journal: IEEE Robotics and Automation Magazine
  • Volume: 31
  • Issue: 1
  • Pages: 29–40
  • Year: 2024
  • Citations: 1