Scientific Research Publishing

Trigka, M. and Dritsas, E. (2025) A Comprehensive Survey of Machine Learning Techniques and Models for Object Detection. Sensors, 25, Article 214.

ABSTRACT: Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle ...
Scientific Research Publishing

Tassi, A. and Vizzari, M. (2020) Object-oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithms.

ABSTRACT: Rapid urbanization and industrial growth reshaped the landscape, making the environment and human life increasingly vulnerable. This study undergoes future land use prediction, which is ...
IEEE

An Efficient Application of Machine Learning for Object-Based Classification Using Sentinel-1 Data: For Complex Environment

Abstract: Object-Based Image Analysis (OBIA), synonymous to Geographic Object-Based Image Analysis (GEOBIA), assesses the characteristics across spatial, spectral and temporal scales of the ...
Frontiers

A machine learning-based detection, classification, and quantification of marine litter along the central east coast of India

Globally, the growth of plastic production has increased exponentially from 1.5 million metric tons (Mt) in 1950 to 400.3 Mt in 2022, resulting in a substantial increase of marine litter along the ...
Frontiers

Deep learning object detection-based early detection of lung cancer

The early diagnosis and accurate classification of lung cancer have a critical impact on clinical treatment and patient survival. The rise of artificial intelligence technology has led to ...