The outcome of the 2022 landslide4sense competition: Advanced landslide detection from multisource satellite imagery
The scientific outcomes of the 2022 Landslide4Sense (L4S) competition organized by the
Institute of Advanced Research in Artificial Intelligence are presented here. The objective of …
Institute of Advanced Research in Artificial Intelligence are presented here. The objective of …
Efficient federated learning via local adaptive amended optimizer with linear speedup
Adaptive optimization has achieved notable success for distributed learning while extending
adaptive optimizer to federated Learning (FL) suffers from severe inefficiency, including (i) …
adaptive optimizer to federated Learning (FL) suffers from severe inefficiency, including (i) …
A brief review of the most recent activation functions for neural networks
MA Mercioni, S Holban - 2023 17th International Conference on …, 2023 - ieeexplore.ieee.org
Even though the majority of the current functions have shortcomings, this study looks at a
few activation function capabilities that might lead to performance enhancement. The …
few activation function capabilities that might lead to performance enhancement. The …
Advancing Force Fields Parameterization: A Directed Graph Attention Networks Approach
Force fields (FFs) are an established tool for simulating large and complex molecular
systems. However, parametrizing FFs is a challenging and time-consuming task that relies …
systems. However, parametrizing FFs is a challenging and time-consuming task that relies …
Interaction-aware trajectory planning for autonomous vehicles with analytic integration of neural networks into model predictive control
Autonomous vehicles (AVs) must share the driving space with other drivers and often
employ conservative motion planning strategies to ensure safety. These conservative …
employ conservative motion planning strategies to ensure safety. These conservative …
An improved burr size prediction method based on the 1D-ResNet model and transfer learning
Z Liu, B Guo, F Wu, T Han, L Zhang - Journal of Manufacturing Processes, 2022 - Elsevier
Cutting burrs, which are common in the manufacturing process of aluminum alloy wheel
hubs, can severely affect the quality of the wheel hub surface and increase the scrap rate …
hubs, can severely affect the quality of the wheel hub surface and increase the scrap rate …
A smooth maximum regularization approach for robust topology optimization in the ground structure setting
E Alcazar, LF Oliveira, F Vasconcelos Senhora… - Structural and …, 2024 - Springer
A robust ground structure topology optimization framework is presented to handle the
uncertainty of load direction and design for the worst case compliance scenario. The …
uncertainty of load direction and design for the worst case compliance scenario. The …
Simultaneous detection of defects in electrical connectors based on improved convolutional neural network
Electrical connector is a main channel for the transmission of signals and energy signals
within electrical device. Even a tiny skew and a missing pin of the electrical connector have …
within electrical device. Even a tiny skew and a missing pin of the electrical connector have …
Learning a Hand Model from Dynamic Movements Using High-Density EMG and Convolutional Neural Networks
RC Sîmpetru, A Arkudas, DI Braun… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Objective: Surface electromyography (sEMG) can sense the motor commands transmitted to
the muscles. This work presents a deep learning method that can decode the …
the muscles. This work presents a deep learning method that can decode the …
Sensing the full dynamics of the human hand with a neural interface and deep learning
Theories on the neural control of movement are largely based on movement-sensing
devices that capture the dynamics of predefined anatomical landmarks. Neuromuscular …
devices that capture the dynamics of predefined anatomical landmarks. Neuromuscular …