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1. Empowering Wildlife Guardians: An Equitable Digital Stewardship and Reward System for Biodiversity Conservation Using Deep Learning and 3/4G Camera Traps.

2. Removing Human Bottlenecks in Bird Classification Using Camera Trap Images and Deep Learning.

3. Classification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithms.

4. Automatic Epileptic Seizure Detection Using Scalp EEG and Advanced Artificial Intelligence Techniques.

5. Prediction of Preterm Deliveries from EHG Signals Using Machine Learning.

6. Understanding External Influences on Target Detection and Classification Using Camera Trap Images and Machine Learning.

7. Anomaly Detection Using Autoencoder Reconstruction upon Industrial Motors.

8. An Evaluation of the Factors Affecting 'Poacher' Detection with Drones and the Efficacy of Machine-Learning for Detection.

9. A First Implementation of Underwater Communications in Raw Water Using the 433 MHz Frequency Combined with a Bowtie Antenna.

10. Wildlife Monitoring on the Edge: A Performance Evaluation of Embedded Neural Networks on Microcontrollers for Animal Behavior Classification.

11. Behaviour Classification on Giraffes (Giraffa camelopardalis) Using Machine Learning Algorithms on Triaxial Acceleration Data of Two Commonly Used GPS Devices and Its Possible Application for Their Management and Conservation.

12. 'Keeping in Touch': Using the internet in speech and language therapy.

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