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3. Submacular Hemorrhage

5. Breast Cancer Detection Based DenseNet with Attention Model in Mammogram Images

7. Impacts of Aircraft on Environment in Europe

8. A Laboratory Study to Assess the Use of Biochar-Based Liquid Activated Carbon for the Removal of MTBE and Benzene from Contaminated Groundwater

9. What is Formative Learning Design? Collaborative Meaning-Making From the 2022 AECT Summer Research Symposium

12. Real-Time KPI Forecasting with 1D Convolutional Time Series for Enhanced Manufacturing Efficiency

13. Artificial Intelligence for Work Measurement: A Promising Approach to Improving Productivity and Reducing Waste

14. Smart Ergonomy: Development of an Automated METEO Assessment Based on Computer Vision

15. Genetic Algorithm for CNN Architecture Optimization

16. Advancing Lithium-Ion Battery Management with Deep Learning: A Comprehensive Review

17. Train a Deep Neural Network by Minimizing an Energy Function to Solve Partial Differential Equations: A Review

18. Enhancing Brain Tumor Classification in Medical Imaging Through Image Fusion and Data Augmentation Techniques

19. A Review of Variational Inference for Bayesian Neural Network

20. A Relaxed Variant of Distributed Q-Learning Algorithm for Cooperative Matrix Games

21. Learning Sparse Fully Connected Layers in Convolutional Neural Networks

25. FRP-RC Slabs Under Punching Shear: Assessment of Existing Models

26. Critical Shear Crack Theory for Shear Strength of Elements Subjected to Tension or Reinforced with FRP

29. Mathematical Modelling and Dynamic Simulation for Wastewater Treatment Plant Management: An Experimental Pilot Study

30. State of Charge Estimation of Lithium-ion Batteries Using Artificial Intelligence Based on Entropy and Enthalpy Variation

36. A New Smoothing Approach for Piecewise Smooth Functions: Application to Some Fundamental Functions

40. Water Erosion Risks Mapping Using RUSLE Model in the Mohamed Ben Abdelkrim El Khattabi Dam Watershed (Central Coastal Rif, Morocco)

45. Classification of Epileptic Seizure Using Machine Learning and Deep Learning Based on Electroencephalography (EEG)

47. Scenarios for ADAS Testing: Modeling and Design

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