Papers: all 510 cases

Coordination Between Individual Agents in Multi-Agent Reinforcement Learning

Yang Zhang, Qingyu Yang, Dou An, Chengwei Zhang

Proceedings of the AAAI Conference on Artificial Intelligence 2021 cited by 20

Software & Coding Reinforcement Learning in Robotics partially solved importance 3/10 scale stated

Existing multi-agent reinforcement learning methods only handle global- or neighborhood-level coordination, leaving coordination between individual agents unsolved in unknown multi-agent environments.

Details Source Open-access PDF model: not stated in source

Machine Learning Techniques for Stellar Light Curve Classification

Trisha A. Hinners, Kevin Tat, Rachel Thorp

The Astronomical Journal 2018 cited by 55

Physics & Astronomy Stellar, planetary, and galactic studies partially solved importance 3/10 scale stated

Predicting and classifying stellar properties from noisy, sparse real Kepler light-curve time-series data, a task previously studied mostly on simulated data.

Details Source Open-access PDF model: long short-term memory recurrent neural ne...

NIR Spectroscopy Oranges Origin Identification Framework Based on Machine Learning

Songjian Dan

International Journal on Semantic Web and Information Systems 2022 cited by 15

Biology & Life Sciences Spectroscopy and Chemometric Analyses partially solved importance 3/10 scale stated

Identifying the geographic origin of oranges from NIR spectral data is needed for food authentication and quality control.

Details Source Open-access PDF model: not stated in source

Material Identification Using a Microwave Sensor Array and Machine Learning

Luke Harrsion, Maryam Ravan, Dhara Tandel, Kunyi Zhang, Tanvi Patel, Reza Khalaj Amineh

Electronics 2020 cited by 31

Engineering & Materials Microwave and Dielectric Measurement Techniques partially solved importance 3/10 scale stated

Identifying materials via microwave sensing, where single-resonator systems limit characterization to narrow frequency ranges and reduce identification accuracy.

Details Source Open-access PDF model: not stated in source

Speech Emotion Recognition Using Deep Learning LSTM for Tamil Language

Bennilo Fernandes, Kasiprasad Mannepalli

Pertanika journal of science & technology 2021 cited by 17

Software & Coding Emotion and Mood Recognition ai assisted importance 2/10 scale stated

Automatically recognizing emotions in Tamil speech, which traditional feedforward networks handle poorly.

Details Source Open-access PDF model: Deep Hierarchical LSTM/BiLSTM variants (DH...

Advancing Crack Detection Using Deep Learning Solutions for Automated Inspection of Metallic Surfaces

Snehal Rathi, Omkar Mirajkar, Shubhangi Shukla, Laukik Deshmukh, Lokesh Dangare

Indian Journal of Information Sources and Services 2024 cited by 33

Engineering & Materials Industrial Vision Systems and Defect Detection ai assisted importance 2/10 scale stated

Conventional image processing struggles to detect cracks on metallic surfaces (hex nuts) under real-world lighting and shadow variation.

Details Source Open-access PDF model: Deep Convolutional Neural Network (CNN)