Browsing by Subject "Transfer Learning"
Now showing items 1-5 of 5
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An Empirical Analysis of Cross-entropy Based and Metric-based Methods on North Atlantic Right Whale Acoustic Data
(2020-06-11)With increasing concern for marine species extinction, a massive effort has been made to conserve, prevent, and search for a sustainable solution. However, data labeling is a labor-heavy and time-consuming work, resulting ... -
Enhancing Gait Recognition through Edge Detection and Hybrid Feature Extraction Techniques
(2024-08-26)Gait recognition is the process of identifying individuals based on their unique walking patterns. This method has gained importance in biometric systems for its non-intrusive nature and applications in security, ... -
Improving Efficacy and Efficiency of Hypothesis Adaptation and Federated Learning
(2023-07-28)Small computing devices, such as smartphones, constantly collect and store data that can potentially help machines learn complex tasks. However, the data contained on a single device is relatively small and biased, making ... -
ME-IDS: An Ensemble Transfer Learning Framework Based on Misclassified Samples for Intrusion Detection Systems
(2023-12-01)In our digitally interconnected world, the demand for robust security measures has become increasingly apparent, given the escalating threat of cyberattacks on the Internet. Intrusion Detection Systems (IDS) have emerged ... -
Similarity Identification of Southern Resident Killer Whale (SRKW) Call Types Under Sparse Sampling Using Siamese Neural Networks
(2024-08-26)Southern Resident Killer Whales (SRKW) are highly intelligent marine mammals facing extinction in the North Pacific. These whales emit three types of sounds: clicks, whistles, and pulsed calls, with 43 distinct pulsed call ...