Python
The Effect of Fake Reviews on e-Commerce during and After Covid-19 Pandemic: SKL-Based Fake Reviews Detection
Three Axis Tilting Trailer
Time Series Forecasting and Modeling of Food Demand Supply Chain Based on Regressors Analysis
Timed Speed Breaker Power Generation
Toward Fast and Accurate Violence Detection for Automated Video Surveillance Applications
Toward Improving Breast Cancer Classification Using an Adaptive Voting Ensemble Learning Algorithm
Traffic Signs Recognition using CNN and Keras
Transfer Learning Strategies for Credit Card Fraud Detection
Twitter Spam Detection Using Natural Language Processing by Encoder Decoder Model
Two Wheeler Front Wheel Drive
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.