Mulugeta Haile, Edward L. Zhu, Christopher D. Hsu, Natasha Bradley
Structural Health Monitoring·
2019·
cited by 29
Acoustic emission damage-detection algorithms can be deceived by reflected waves modulated by structural boundaries, so these reflections must be identified before damage can be located reliably.
Details
Source
model: LSTM recurrent neural network; convolution...
Hao Chen, Frederick J. King, Bin Zhou, Yu Wang, Carter J. Canedy, Joel Hayashi, Yang Zhong, Max W. Chang et al.
Nature Communications·
2024·
cited by 95
Medicine & Health
Computational Drug Discovery Methods
partially solved
importance 4/10
scale stated
Machine learning analyses of gene signatures rely on matching gene identities and ignore preexisting knowledge of gene functions, limiting compound-target prediction and mechanism-of-action studies.
Jan‐Niklas Eckardt, Waldemar Hahn, Christoph Röllig, Sebastian Stasik, Uwe Platzbecker, Carsten Müller‐Tidow, Hubert L. Serve, Claudia Dorothea Baldus et al.
npj Digital Medicine·
2024·
cited by 64
Medicine & Health
Artificial Intelligence in Healthcare and Education
partially solved
importance 4/10
scale stated
Clinical research is hindered by the high cost of collecting large patient datasets and privacy/regulatory barriers to accessing existing data.
Longlong Wu, Seong‐Min Bak, Youngho Shin, Yong S. Chu, Shinjae Yoo, Ian Robinson, Xiaojing Huang
npj Computational Materials·
2023·
cited by 22
X-ray fluorescence microscopy resolution is limited by the X-ray probe size, unlike diffraction-limited ptychography.
Andrea Di Gioacchino, Jonah Procyk, Marco Molari, John S. Schreck, Yu Zhou, Yan Liu, Rémi Monasson, Simona Cocco et al.
PLoS Computational Biology·
2022·
cited by 41
Obtaining aptamer binders via SELEX requires multiple rounds of experimental selection, and predicting which sequences will bind is difficult.
Shaheer U. Saeed, Yunguan Fu, Vasilis Stavrinides, Zachary M. C. Baum, Qianye Yang, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn et al.
Medical Image Analysis·
2022·
cited by 50
Medicine & Health
Image and Video Quality Assessment
partially solved
importance 4/10
scale stated
Medical images vary in usefulness for downstream ML tasks; a method was needed to assess task amenability and adapt quickly to new datasets.
Asad Ali Shahid, Dario Piga, Francesco Braghin, Loris Roveda
Autonomous Robots·
2022·
cited by 66
Programming robots to perform continuous-control object manipulation tasks and adapt them to changed environments is difficult and slow.
Jie Yang, Muthukumar Bagavathiannan, Yundi Wang, Yong Chen, Jialin Yu
Weed Technology·
2022·
cited by 30
Farmers need automated ways to detect weeds growing among alfalfa crops so control measures can be targeted.
Yu-Yi Lin, Wei-Zhong Zheng, Wei Chu, Ji-Yan Han, Ying-Hsiu Hung, Guan‐Min Ho, Chia-Yuan Chang, Ying-Hui Lai
Applied Sciences·
2021·
cited by 35
Medicine & Health
Speech Recognition and Synthesis
partially solved
importance 4/10
scale stated
Dysarthric patients struggle to use voice control on mobile devices, and existing ASR systems require large computation, raising implementation costs.
Matthew Q. Miller, Tessa A. Hadlock, Emily Fortier, Diego L. Guarín
Plastic & Reconstructive Surgery·
2020·
cited by 75
Medicine & Health
Facial Nerve Paralysis Treatment and Research
partially solved
importance 4/10
scale stated
Facial palsy assessment relied on subjective, nonstandardized clinician-graded scales prone to observer bias, making treatment comparison unreliable.
Jason T. Smith, Ruoyang Yao, Nattawut Sinsuebphon, Alena Rudkouskaya, Nathan Un, Joseph Edward Mazurkiewicz, Margarida Barroso, Pingkun Yan et al.
Proceedings of the National Academy of Sciences·
2019·
cited by 171
Fluorescence lifetime imaging requires slow, complex data-fitting to extract quantitative lifetime parameters from images.
Laurynas Pipiras, Rytis Maskeliūnas, Robertas Damaševičius
Computers·
2019·
cited by 12
Software & Coding
Speech Recognition and Synthesis
solved
importance 4/10
scale stated
Automatic speech recognition for Lithuanian had attracted little research, and models built for languages like English could not be directly adopted due to complicated language structure and scarce data.
Atta Rahman
Journal of Imaging·
2025·
cited by 13
Detecting defects, dust, physical damage, and snow on photovoltaic solar panels to maintain efficiency.
Xiaotong Gao, Songwei Li, Xiaotong Su, Yan Li, Lingyun Huang, Weidong Tang, Yuanchen Zhang, Min Dong
Agriculture·
2024·
cited by 28
Apple defect detection and quality grading in agricultural production requires automated, accurate monitoring of fruit quality.
Narcís Palomeras, Pere Ridao
Drones·
2024·
cited by 14
Robotics & Autonomy
Underwater Vehicles and Communication Systems
partially solved
importance 4/10
scale stated
Autonomously homing and docking an underwater vehicle under realistic, noisy ocean conditions where traditional controllers struggle.
Yuxing Wang, Wenguan Wang, Dongfang Liu, Wenpin Hou, Tianfei Zhou, Zhicheng Ji
Genome biology·
2023·
cited by 45
Identifying cell boundaries and assigning RNA reads to cells in in situ RNA detection data, complicated by noisy training labels.
Rehab Mahmoud, Mohamed Hassanin, Haytham Al-Feel, Rasha M. Badry
Sustainability·
2023·
cited by 26
Mapping land use and land cover (LULC) from satellite imagery is needed for environmental monitoring but is difficult to do accurately. The study built a prediction model to classify 8 LULC classes in Egypt from 3 m multi-spectral PlanetScope images.
Jianan Chi, Xiangxin Bu, Xiao Li Zhang, Lijun Wang, Nannan Zhang
Agriculture·
2023·
cited by 20
Traditional cottonseed cultivar identification is slow and difficult, risking inauthentic seed reaching farmers.
Amrit Kaphle, Sandun Jayarathna, Hem Moktan, Maureen L. Aliru, Subhiksha Raghuram, Sunil Krishnan, Sang Hyun Cho
Microscopy and Microanalysis·
2023·
cited by 16
Detecting gold nanoparticles inside tumor cells in TEM images is manual, slow, and error-prone with thresholding methods.
Zhiwei Xu, Yunpeng Bai, Bin Zhang, Dapeng Li, Guoliang Fan
Proceedings of the AAAI Conference on Artificial Intelligence·
2023·
cited by 25
Robotics & Autonomy
Reinforcement Learning in Robotics
ai assisted
importance 4/10
scale stated
Instability arises when policies of multiple levels and agents are optimized concurrently in fully cooperative multi-agent tasks.
Joël Lukas Lavanchy, Armine Vardazaryan, Pietro Mascagni, Giovanni Guglielmo Laracca, Ludovica Guerriero, Andrea Spota, Claudio Fiorillo, Giuseppe Quero et al.
Scientific Reports·
2023·
cited by 25
Medicine & Health
Surgical Simulation and Training
ai assisted
importance 4/10
scale stated
Endoscopic surgical videos can record privacy-sensitive out-of-body scenes, exposing patients and operating room staff when videos are used for education and research.
Jie Li, Beibei Li, Linjie Dong, Xingsong Wang, Mengqian Tian
Drones·
2022·
cited by 45
Robotics & Autonomy
Industrial Vision Systems and Defect Detection
solved
importance 4/10
scale stated
Autonomous inspection robots on large spherical tanks need to accurately identify and track weld seams to inspect them regularly, which remained a challenge.
Zhengbo Yu, Bingli Liu, Miao Xie, Yixiao Wu, Yunhui Kong, Cheng Li, Guodong Chen, Yaxin Gao et al.
Minerals·
2022·
cited by 24
Science & Research
Geochemistry and Geologic Mapping
partially solved
importance 4/10
scale stated
Quantitative prediction of gold mineralization at large depth in the Zaozigou gold deposit, west Qinling, China, to guide future exploration.
Chenglong Wang, Zhifeng Xiao
Agriculture·
2021·
cited by 51
Business & Industry
Industrial Vision Systems and Defect Detection
solved
importance 4/10
scale stated
Potato surface defect detection is challenging due to irregular potato shapes and various defect types, and is crucial for automating food production and processing.