1. 21 Sep 2026

    An innovative, robust approach for reconstructing graphs with incomplete information

    In the modern big-data environment, large datasets are often represented as graphs. Deep learning-based graph neural networks (GNNs) provide a ...

    www.eurekalert.org ↗
  2. 21 Sep 2026

    An innovative, robust approach for reconstructing graphs with incomplete information

    In the modern big-data environment, large datasets are often represented as graphs. Deep learning-based graph neural networks (GNNs) provide a ...

    www.eurekalert.org ↗
  3. 20 Sep 2026

    EH-SWADS: energy-harvesting smart weather-aware drone sink for agricultural WSNs

    ... reinforcement learning-based cluster-head selection mechanism enhanced with energy-harvesting awareness, and (iii) solar-powered sensor nodes ...

    www.nature.com ↗
  4. 19 Sep 2026

    Kyung Hee University Begins Development of Next-Generation Autonomous Intervention Robot

    ... reinforcement learning-based AI autonomous navigation △ high-fidelity phantom verification systems. ... training data for AI learning. Through ...

    www.asiae.co.kr ↗
  5. 19 Sep 2026

    RobCo Highlights Reinforcement Learning Approach in Physical AI Robotics - TipRanks

    ... reinforcement learning-based approaches. The post describes how engineers use extensive simulation, feedback, and iterative training to build ...

    www.tipranks.com ↗
  6. 19 Sep 2026

    Fooling a Deep Learning-based Facial Expression Recognition System Using Its Class ...

    This chapter dives into the vulnerabilities of deep learning-based facial expression recognition (FER) systems, demonstrating how adversarial ...

    www.springerprofessional.de ↗
  7. 19 Sep 2026

    A Deep Learning-Based Fire Detection Method for Power Distribution Substations - MDPI

    Although existing deep learning-based methods have demonstrated promising performance in fire monitoring, several characteristics of substation fire ...

    www.mdpi.com ↗
  8. 19 Sep 2026

    Deep learning-based detection of construction waste in complex scenarios with an ... - PLOS

    « Back to Article. Fig 1. Structure of YOLOv11 model. More » · Fig 1 Expand. Fig 2. Schematic diagram of Dynamic Convolution.

    journals.plos.org ↗
  9. 18 Sep 2026

    Feasibility of deep learning-based image reconstruction using TrueFidelity for coronary ...

    We evaluated the feasibility of deep learning-based image reconstruction (DLIR) using GE TrueFidelity at high strength for coronary calcium ...

    journals.plos.org ↗
  10. 18 Sep 2026

    Research on an attitude controllable radar image generation method for noncooperative targets

    ... deep learning-based automatic target recognition algorithms. However, the uncontrollable motion trajectories of non-cooperative targets and ...

    www.eurekalert.org ↗
  11. 18 Sep 2026

    Multi-Temporal Satellite Observations and Machine Learning-Based Flood Susceptibility ... - MDPI

    Over the past decade, the Punjab plains of Northern India have experienced recurrent flooding driven by hydroclimatic variability, ...

    www.mdpi.com ↗
  12. 17 Sep 2026

    Computational screening of oncogenic genetic variations in tumor suppressor proteins ...

    We employed a deep learning-based graph neural network model to identify genes exhibiting both dysregulated expression and high mutation propensity in ...

    journals.plos.org ↗
  13. 17 Sep 2026

    Machine learning improves cancer cell detection through light scattering - News-Medical

    Could machine learning-based systems detect these subtle optical differences? This research was originally designed by Professor Yoichiroh Hosokawa ...

    www.news-medical.net ↗
  14. 17 Sep 2026

    Machine learning improves cancer cell detection through light scattering - News-Medical

    Could machine learning-based systems detect these subtle optical differences? This research was originally designed by Professor Yoichiroh Hosokawa ...

    www.news-medical.net ↗
  15. 17 Sep 2026

    Machine learning improves cancer cell detection through light scattering - News-Medical

    Could machine learning-based systems detect these subtle optical differences? This research was originally designed by Professor Yoichiroh Hosokawa ...

    www.news-medical.net ↗
  16. 16 Sep 2026

    Deep learning feature fusion with transfer learning for Alzheimer's disease classification

    Deep learning-based analysis of structural magnetic resonance imaging (MRI) has emerged as a promising approach for automated dementia staging, ...

    www.nature.com ↗
  17. 15 Sep 2026

    Anyon Computing Unveils NVQLink-Based Quantum Control System

    ... learning-based readout classification, and hybrid quantum-classical machine learning, including variational and reinforcement-learning training loops.

    thequantuminsider.com ↗
  18. 15 Sep 2026

    Rainfall Retrieval from Challenging 7 GHz Commercial Microwave Links in Burkina Faso ...

    The approach relies on a deep learning-based wet-dry classification model developed using MSG-SEVIRI satellite observations and rain gauge ...

    www.scirp.org ↗
  19. 15 Sep 2026

    Rainfall Retrieval from Challenging 7 GHz Commercial Microwave Links in Burkina Faso ...

    ... deep learning-based wet-dry classification model developed using MSG-SEVIRI satellite observations and rain gauge measurements. The model outputs ...

    www.scirp.org ↗
  20. 15 Sep 2026

    Machine Learning as a Tool for the Development of Sign Recognition Systems: A Review

    This review is guided by the following research questions: (RQ1) What feature extraction techniques are most commonly used in machine learning-based ...

    www.mdpi.com ↗
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Mechanistic Interpretability — Google

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