Achievement of Sustainable Development Goals critically depends on well-functioning food systems which can provide sufficient and healthy food for all in an environmentally sustainable, economically viable and socially equitable manner.However, current food systems are failing on all of these dimensions.In fact, food systems are generating substant
The objective of this study was to develop an artificial intelligence (AI)-driven model for the detection of helmet usage among workers in tractor and agricultural machinery factories with the aim of enhancing occupational safety.A transfer learning approach was employed, utilizing nine pre-trained neural networks for the extraction of deep feature
The background for conducting this research is to provide additional information and input for the Bandung City Regional Secretariat and the Regional Government in general as a basis for input for decision-making in the context of evaluation and improvement.This study aims to determine whether employee performance affects the quality of service at
The advent of deep learning has significantly propelled the utilization of neural networks for Synthetic Aperture Radar (SAR) ship detection in recent years.However, there are two main obstacles in SAR detection.Challenge 1: The multiscale nature of SAR ships.Challenge 2: The influence of intricate near-shore environments and the interference of cl