Laser-Induced Breakdown Spectroscopy Assisted by Machine Learning for Plastics/Polymers Identification
Discriminating plastic samples that share the same polymeric matrix but contain different additives is difficult.
Papers
1,138 of 1,138 verified cases.
Fast fit-free analysis of fluorescence lifetime imaging via deep learning
Biology & Life Sciences
Advanced Fluorescence Microscopy Techniques
solved
importance 4/10
scale stated
Fluorescence lifetime imaging requires slow, complex data-fitting to extract quantitative lifetime parameters from images.
Continuous learning of compiler heuristics
Software & Coding
Parallel Computing and Optimization Techniques
ai assisted
importance 4/10
scale stated
Iterative compilation with machine learning finds optimal code optimizations but needs extremely long compilation and training times (days or weeks).
Solar Panel Surface Defect and Dust Detection: Deep Learning Approach
Engineering & Materials
Industrial Vision Systems and Defect Detection
ai assisted
importance 4/10
scale stated
Detecting defects, dust, physical damage, and snow on photovoltaic solar panels to maintain efficiency.
Integrating machine learning and symbolic regression for predicting damage initiation in hybrid FRP bolted connections
Hybrid FRP bolted connections are rapidly adopted in industry but lack interpretable predictive models for damage initiation loads.
Why do users override alerts? Utilizing large language model to summarize comments and optimize clinical decision support
Medicine & Health
Artificial Intelligence in Healthcare and Education
ai assisted
importance 4/10
scale stated
Understanding why clinicians override CDS alerts required summarizing large volumes of user alert comments.
Autonomous Underwater Vehicle Docking Under Realistic Assumptions Using Deep Reinforcement Learning
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.
Application of Advanced Deep Learning Models for Efficient Apple Defect Detection and Quality Grading in Agricultural Production
Apple defect detection and quality grading in agricultural production requires automated, accurate monitoring of fruit quality.
Modeling Xanthan Gum Foam’s Material Properties Using Machine Learning Methods
Xanthan gum had never been studied as a foam material for insulation and packaging, nor modeled with machine learning.
Deep learning classification method for boar sperm morphology analysis
Boar semen morphology and acrosome health lack fast, objective analysis methods; manual microscope counting is subjective.
Evaluation Framework of Large Language Models in Medical Documentation: Development and Usability Study
Medicine & Health
Artificial Intelligence in Healthcare and Education
ai assisted
importance 4/10
scale stated
There was no established framework or quality standards for assessing accuracy and clinical applicability of LLM-generated emergency department records.
Preserving privacy in surgical video analysis using a deep learning classifier to identify out-of-body scenes in endoscopic videos
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.
Development of postoperative delirium prediction models in patients undergoing cardiovascular surgery using machine learning algorithms
Postoperative delirium after cardiovascular surgery is common and linked to adverse events; high-risk patients need preoperative identification.
Evaluation of Machine Learning Algorithms for Air Quality Index (AQI) Prediction
Climate & Environment
Air Quality Monitoring and Forecasting
ai assisted
importance 4/10
scale stated
Air quality in Uttarakhand, India has deteriorated with industrial and vehicle growth, so the study aimed to predict pollutant status and AQI for monitored cities.
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism
Instability arises when policies of multiple levels and agents are optimized concurrently in fully cooperative multi-agent tasks.
Deep Learning-Based TEM Image Analysis for Fully Automated Detection of Gold Nanoparticles Internalized Within Tumor Cell
Detecting gold nanoparticles inside tumor cells in TEM images is manual, slow, and error-prone with thresholding methods.
Insights into Cottonseed Cultivar Identification Using Raman Spectroscopy and Explainable Machine Learning
Biology & Life Sciences
Spectroscopy and Chemometric Analyses
ai assisted
importance 4/10
scale stated
Traditional cottonseed cultivar identification is slow and difficult, risking inauthentic seed reaching farmers.
Machine learning techniques for default prediction: an application to small Italian companies
Business & Industry
Financial Distress and Bankruptcy Prediction
ai assisted
importance 4/10
scale stated
Predicting loan default of small Italian companies, traditionally handled with statistical classifiers such as logistic regression.
Machine Learning-Based Land Use and Land Cover Mapping Using Multi-Spectral Satellite Imagery: A Case Study in Egypt
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.
GeneSegNet: a deep learning framework for cell segmentation by integrating gene expression and imaging
Biology & Life Sciences
Cell Image Analysis Techniques
partially solved
importance 4/10
scale stated
Identifying cell boundaries and assigning RNA reads to cells in in situ RNA detection data, complicated by noisy training labels.
Unsupervised Machine Learning for Exploratory Data Analysis of Exoplanet Transmission Spectra
Physics & Astronomy
Stellar, planetary, and galactic studies
ai assisted
importance 4/10
scale stated
Decoding the chemical composition of exoplanet atmospheres from high-dimensional transmission spectral data.
3D Mineral Prospectivity Mapping of Zaozigou Gold Deposit, West Qinling, China: Deep Learning-Based Mineral Prediction
Quantitative prediction of gold mineralization at large depth in the Zaozigou gold deposit, west Qinling, China, to guide future exploration.
Weld Seam Identification and Tracking of Inspection Robot Based on Deep Learning Network
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.
EM-stellar: benchmarking deep learning for electron microscopy image segmentation
Biology & Life Sciences
Advanced Electron Microscopy Techniques and Applications
ai assisted
importance 4/10
scale stated
Segmenting cellular ultrastructures in low-contrast, high-resolution electron microscopy datasets is slow and difficult to automate.