Seyed Salar Sefati, Ahmed M. Nor, Bahman Arasteh, Răzvan Crăciunescu, Ciprian-Romeo Comşa
Journal of Grid Computing·
2025·
cited by 26
Software & Coding
Cloud Computing and Resource Management
ai assisted
importance 4/10
scale stated
Efficiently assigning tasks to compatible clouds in dynamic multi-cloud environments is a crucial challenge, especially for ultra-reliable, low-latency applications.
Muhammad Fayaz, Junyoung Nam, L. Minh Dang, Hyoung‐Kyu Song, Hyeonjoon Moon
Applied Sciences·
2024·
cited by 78
Traditional remote-sensing methods cannot precisely classify dynamic and complex urban land areas.
R. Karthik, Illakiya Thayumanaswamy, Menaka Radhakrishnan, Daehan Won, Sindhia Lingaswamy
Diagnostics·
2024·
cited by 24
Medicine & Health
Cutaneous Melanoma Detection and Management
ai assisted
importance 4/10
scale stated
Classifying skin lesions from dermoscopic images is difficult because existing methods struggle with complex information and long-range dependencies.
Yulong Chen, Zilong Zhu, Zhijie Lin, Youmei Zhou
Buildings·
2023·
cited by 46
Cracks in building facades worsen if not found quickly, and manual inspection of large buildings is impractical, motivating automated crack detection.
Sebastian Gassenmaier, Verena Warm, Dominik M. Nickel, Elisabeth Weiland, Judith Herrmann, Haidara Almansour, Daniel Wessling, Saif Afat
Cancers·
2023·
cited by 26
Medicine & Health
Advanced MRI Techniques and Applications
partially solved
importance 4/10
scale stated
Thin-slice prostate MRI could improve cancer diagnostics but unacceptably prolongs acquisition time.
Daniel Franco-Barranco, Julio Pastor-Tronch, Aitor González-Marfil, Arrate Muñoz‐Barrutia, Ignacio Arganda‐Carreras
Computer Methods and Programs in Biomedicine·
2022·
cited by 24
Deep learning models for mitochondria segmentation in electron microscopy volumes need large annotated datasets and perform poorly on EM data from different tissues or species (domain shift).
Helder Pereira, Luís Gomes, Zita Vale
Energy Informatics·
2022·
cited by 33
Prosumers in energy communities need to optimize how much energy to trade and at what price in peer-to-peer markets.
Félix Hernández‐del‐Olmo, Elena Gaudioso, Natividad Duro, Raquel Dormido
Sensors·
2019·
cited by 51
Weather conditions strongly affect inflow rates and substance concentrations in wastewater treatment plants, but this weather signal cannot be directly measured with traditional physical sensors, making plant control difficult.
Matthew David Witman, Dogan Gidon, David B. Graves, Berend Smit, Ali Mesbah
Plasma Sources Science and Technology·
2019·
cited by 46
Feedback control of thermal effects of atmospheric pressure plasma jets on complex substrates, which is difficult due to complex plasma-substrate interactions.
Qiang Wang, Francisco Roldán Sánchez, Robert McCarthy, David Córdova Bulens, Kevin McGuinness, Noel Edward O'Connor, Manuel Wüthrich, Felix Widmaier et al.
Expert Systems·
2022·
cited by 17
Getting a TriFinger robot to dexterously manipulate a cube along a specified positional trajectory under sparse rewards, where traditional control methods struggled.
Kavir Osorio, Andrés Puerto, Cesar Augusto Pedraza, David Alejandro Jamaica-Tenjo, Leonardo Rodríguez
AgriEngineering·
2020·
cited by 236
Farmers and experts have long struggled to estimate the amount and location of weeds in lettuce crops, which is key to crop productivity.
Haitao Yu, Zhiming Dai
Frontiers in Genetics·
2019·
cited by 94
Identifying DNA N6-methyladenine (6mA) sites in the rice genome experimentally is time-consuming and laborious, and existing machine learning predictors had room for improvement.
Zhiqiu Yao, Xinxin Zhang, Pei Nie, Haimiao Lv, Ying Yang, Wenna Zou, Liguo Yang
Foods·
2023·
cited by 20
Camel milk is adulterated with cheaper cow milk, threatening food quality and safety, and a rapid detection method was needed.
Nick Seeuws, Maarten De Vos, Alexander Bertrand
IEEE Transactions on Biomedical Engineering·
2021·
cited by 38
Medicine & Health
ECG Monitoring and Analysis
ai assisted
importance 3/10
scale stated
Noise and disturbances hinder effective interpretation of recorded ECG signals, and existing quality indicators rely on human-defined properties.
Jiawei Li, David Faragó, Christian Petrov, Iftekhar Ahmed
Proceedings of the ACM on software engineering·
2024·
cited by 21
Software & Coding
Software Engineering Research
ai assisted
importance 3/10
scale stated
Automatically generating high-quality, informative commit messages for code changes, where prior approaches produced insufficient, poorly readable output.
Michel Nass, Emil Alégroth, ROBERT H. FELDT
Software Testing Verification and Reliability·
2024·
cited by 16
Software & Coding
Software Testing and Debugging Techniques
ai assisted
importance 3/10
scale stated
Web-based test automation requires accurately locating web elements, but traditional attribute-matching methods miss context and meaning of elements and words.
Fernando Díaz Ledezma, Sami Haddadin
Science Robotics·
2023·
cited by 18
Robotics & Autonomy
Robotic Mechanisms and Dynamics
partially solved
importance 3/10
scale stated
Robot morphology is typically assumed known and calibrated via external measuring devices; whether a robot can learn elements of its own body morphology by itself was largely unexplored.
Andries Smit, Herman A. Engelbrecht, Willie Brink, Arnu Pretorius
Autonomous Agents and Multi-Agent Systems·
2023·
cited by 13
Robotics & Autonomy
Reinforcement Learning in Robotics
partially solved
importance 3/10
scale stated
Simulated RoboCup football teams still rely on handcrafted strategies, and reinforcement learning had not been scaled to the full 22-player game.
Somayeh B. Shafiei, Saeed Shadpour, James Lloyd Mohler, Farzan Sasangohar, Camille Gutierrez, Mehdi Seilanian Toussi, Ambreen Shafqat
Journal of Robotic Surgery·
2023·
cited by 25
Medicine & Health
Surgical Simulation and Training
ai assisted
importance 3/10
scale stated
Surgical expertise in robot-assisted surgery is difficult to assess objectively; the study aimed to automatically classify surgeons' skill levels.
Tjaša Rijavec, David Ribar, Jernej Markelj, Matija Strlič, Irena Kralj Cigić
Scientific Reports·
2022·
cited by 35
Identifying and quantifying plasticizers in historical PVC museum objects non-destructively was not previously done on a large, diverse collection.
Masaki Morimoto, Kai Fukami, Koji Fukagata
Physics of Fluids·
2021·
cited by 96
Physics & Astronomy
Model Reduction and Neural Networks
partially solved
importance 3/10
scale stated
Experimental particle image velocimetry often has missing regions in images due to experimental limitations, leaving gaps in measured velocity fields.
Nikita Moshkov, Botond Mathe, Attila Kertész‐Farkas, Réka Hollandi, Péter Horváth
Scientific Reports·
2020·
cited by 228
Deep learning-based cell segmentation on microscopy images requires massive annotated training sets to reach high accuracy; the paper addresses improving accuracy without more annotated data.
Emanuele Pesce, Giovanni Montana
Machine Learning·
2020·
cited by 49
Software & Coding
Reinforcement Learning in Robotics
partially solved
importance 3/10
scale stated
Multiple agents trained centrally but executed decentrally struggle to coordinate on tasks requiring synchronisation when they only have partial observations.
Sang-Hyun Park, Kang-Hee Lee, Ji Su Park, Youn-Soon Shin
Sustainability·
2022·
cited by 29
Engineering & Materials
Industrial Vision Systems and Defect Detection
partially solved
importance 3/10
scale stated
Product defects arise at several stages of manufacturing, and small-scale producers rely mainly on manual visual inspection to catch them.