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.
WIPE: A Novel Web-Based Intelligent Packaging Evaluation via Machine Learning and Association Mining
Our study aims to introduce the Web-Based Intelligent Packaging Evaluation (WIPE) platform, which uses machine learning and association rule mining to assess packaging performance in e-commerce. By analyzing customer reviews, WIPE identifies packaging defects, their causes, and effects, offering a dynamic, real-world alternative to traditional laboratory methods.
By using a pre-trained BERT, it ensures precise predictions even with varying data quality. Additionally, the system captures the full context of customer feedback by generating dynamic word clouds, which visually represent common issues and sentiments, offering deeper insights into customer concerns.