Python
Deep Learning
Recognition of Fish in Aqua Cage by Machine Learning with Image Enhancement
Road Traffic Accident Risk Prediction and Key Factor Identification Framework Based on Explainable Deep Learning
Sign Explainer An Explainable AI Enabled Framework for Sign Language Recognition With Ensemble Learning
Silent Alert: Advancing Women’s Security through Smart Sign Recognition and AI
Sleep Apnea Detection From Single-Lead ECG: A Comprehensive Analysis of Machine Learning and Deep Learning Algorithms
Social Media Forensics an Adaptive Cyberbullying-Related Hate Speech Detection Approach Based on Neural Networks with Uncertainty
Toward Fast and Accurate Violence Detection for Automated Video Surveillance Applications
Traffic Signs Recognition using CNN and Keras
Whale and Dolphin Classification
The proposed method involves a multi-step process to classify whale and dolphin species from images. First, the dataset is collected and pre-processed to ensure high-quality input data. The VGG16 model is used to extract features from the images, capturing complex patterns and details. These features are then used to train a Support Vector Machine (SVM) model, which excels in binary and multi-class classification tasks.