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Automatic Saudi Arabian License Plate Detection and Recognition using Deep Convolutional Neural Networks
Ship Detection Approach using Machine Learning Algorithms
A New Deep Learning System for Wild Plants Classification and Species Identification: Using Leaves and Fruits
A Novel Weighted Fractional TDGM Model and Quantum Particle Swarm Optimization Algorithm for Carbon Dioxide Emissions Forecasting
Text Detergent: The Systematic Combination of Text Pre-processing Techniques for Social Media Sentiment Analysis
Improve Short-term Electricity Consumption Forecasting using a GA-based Weighted Fractional Grey Model
Efficient Human Activity Recognition System Using Long Short-Term Memory
Job Training Recommendation System: Integrated Fuzzy AHP and Topsis Approach
Improvement of Population Diversity of Meta-heuristics Algorithm using Chaotic Map
Adaptive and Global Approaches Based Feature Selection for Large-scale Hierarchical Text Classification
Ensemble Method for Online Sentiment Classification Using Drift Detection-Based Adaptive Window Method
Rainfall Forecasting using the Group Method of Data Handling Model: A Case Study of Sarawak, Malaysia
Detecting Public Outlook Towards Vaccination using Machine Learning Approaches: A Systematic Review
Forecasting Carbon Dioxide Emission for Malaysia using Fractional Order Multivariable Grey Model
A Hybrid Algorithm for Pattern Matching: An Integration of Berry-Ravindran and Raita Algorithms.
Ship Detection Approach using Machine Learning Algorithms
A New Deep Learning System for Wild Plants Classification and Species Identification: Using Leaves and Fruits
A Novel Weighted Fractional TDGM Model and Quantum Particle Swarm Optimization Algorithm for Carbon Dioxide Emissions Forecasting
Text Detergent: The Systematic Combination of Text Pre-processing Techniques for Social Media Sentiment Analysis
Improve Short-term Electricity Consumption Forecasting using a GA-based Weighted Fractional Grey Model
Efficient Human Activity Recognition System Using Long Short-Term Memory
Job Training Recommendation System: Integrated Fuzzy AHP and Topsis Approach
Improvement of Population Diversity of Meta-heuristics Algorithm using Chaotic Map
Adaptive and Global Approaches Based Feature Selection for Large-scale Hierarchical Text Classification
Ensemble Method for Online Sentiment Classification Using Drift Detection-Based Adaptive Window Method
Rainfall Forecasting using the Group Method of Data Handling Model: A Case Study of Sarawak, Malaysia
Detecting Public Outlook Towards Vaccination using Machine Learning Approaches: A Systematic Review
Forecasting Carbon Dioxide Emission for Malaysia using Fractional Order Multivariable Grey Model
A Hybrid Algorithm for Pattern Matching: An Integration of Berry-Ravindran and Raita Algorithms.