- EEG and Brain-Computer Interfaces
- Neurological disorders and treatments
- Anomaly Detection Techniques and Applications
- Advanced Malware Detection Techniques
- Medical Image Segmentation Techniques
- Muscle activation and electromyography studies
- Neuroscience and Neural Engineering
- Minerals Flotation and Separation Techniques
- Image and Object Detection Techniques
- Network Security and Intrusion Detection
- Mineral Processing and Grinding
- Brain Tumor Detection and Classification
- Parkinson's Disease Mechanisms and Treatments
Escuela Superior Politecnica del Litoral
2023-2024
Universidad de Santiago de Chile
2005
Size distribution of rock fragments obtained from blasting and crushing in the mining industry has to be monitored for optimal control a variety processes before reaching final grinding, milling froth flotation processes. Whenever feasible, mechanical sieving is routine procedure determine cumulative weight on conveyor belts or free falling off end transfer chutes. This process tedious very time consuming, even more so if complete set meshes used. A computer vision technique proposed based...
The evolution of anthropomorphic robotic hands (ARH) in recent years has been sizable, employing control techniques based on machine learning classifiers for myoelectric signal processing. This work introduces an innovative multi-channel bio-signal transformer (MuCBiT) surface electromyography (EMG) recognition and classification. proposed MuCBiT is artificial neural network fully connected layers architecture. recognizes classifies EMG signals sensed from electrodes patched over the arm’s...
This research explores and analyzes different API Calls sequence transformation methods into images to train deep learning models determine which combination of these performs better. We generated from sequences using Simhash FreqSeq. The results were compared by training two well-known Convolutional Network architectures (ResNet50v2 MobileNetv2). work presents our experience running experiments highlighting the obtained challenges we faced.