This study published in Robot Learning has been focused on water analysis using the combination of decision making and machine learning for a recently developed robotic system. The unique procedure ...

While Machine Learning (ML) has emerged as a promising solution for anomaly detection, challenges such as scalability, adversarial robustness, and energy efficiency remain unresolved. This study aims ...

In recent, the field of object vehicles detection in video is very interested and had became applicable with methods of deep learning and machine learning. The main objective for these applications is ...

Comparison of machine and deep learning algorithms using Google Earth Engine and Python for land classifications Anam Nigar 1 Yang Li 1* Muhammad Yousuf Jat Baloch 2 Abdulwahed Fahad Alrefaei 3 ...

machine-learning computer-vision deep-learning pytorch object-detection Updated on Aug 13, 2023 Python ...

Discover five powerful Python libraries that enable data scientists to interpret and explain machine learning models effectively.

Our solution utilizes Machine Learning, specifically the pre-trained EfficientDet-D4 object detection model from TensorFlow Hub. It addresses the challenge of automating object detection in images.

Object detection and tracking is popular area in computer vision. Because of its vast applications in different fields such as surveillance, tracking modules used for security and many other ...

Keywords: smart agriculture, object detection, computer vision, digital image processing, machine learning, few-shot learning Citation: Ragu N and Teo J (2023) Object detection and classification ...