This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...
Abstract: Malware classification m ethods a re o ften costly, requiring constant retraining and large amounts of computing power in order to support large models that analyze software in numerous ways ...
Individuals afflicted with AD predominantly constitute the elderly. Its main manifestations include gradual memory impairment, cognitive dysfunction, personality changes, and language difficulties, ...
Accurate prediction of joint torque is critical for preventing injury by providing precise insights into the forces acting on joints during activities. Traditional approaches, including inverse ...
This repo contains all my Deep Learning semester work, including implementations of FNNs, CNNs, autoencoders, CBOW, and transfer learning. I explored TensorFlow, Keras, PyTorch, and Theano while ...
A British multinational design and engineering company behind world-famous buildings such as the Sydney Opera House has confirmed that it was the target of a deepfake scam that led to one of its Hong ...
Abstract: Deep-learning-assisted antenna design methods such as surrogate models have gained significant popularity in recent years due to their potential to greatly increase design efficiencies by ...
a. I have been lucky to be in a position that I can have a positive impact on the career of hundreds (if not thousands) of people. Fortunately, I feel relatively secure in my career and I have ...
The ability to forecast large-scale climate variability, with its effects on global social and environmental systems, is highly dependent on the quality of ENSO predictions 4. Although ENSO forecasts ...
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