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"The Role of Deep Learning Models in the Detection of Anti-Social Behav" by Marcella Papini, Umair Iqbal et al.

Increasing women’s active participation in economic, educational, and social spheres requires ensuring safe public transport environments. This study investigates the potential of machine learning-based models in addressing behaviours impacting the safety perception of women commuters. Specifically, we conduct a comprehensive review of the existing literature concerning the utilisation of deep learning models for identifying anti-social behaviours in public spaces. Employing a scoping review m...
Anti Social Behaviour Detection Deep Learning Models Public Transport Safe Transportation Womens Safety
Source: uow.edu.au

Prototype AI Apps with SenseCAP K1100 - Circuit Cellar

Microcontrollers (MCUs) today can run deep learning computer vision algorithms at the edge—something that felt far out of reach just a few years ago. In this article, I discuss how to get started with your own artificial intelligence (AI) app prototype, using Seeed Studio's SenseCAP K1100 Kit.
Bluetooth Lora Sensecraft Github Ultralytics Yolov Google Colaboratory Colab Google Colab Model Training

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"An empirical study of automated privacy requirements classification in" by Pattaraporn Sangaroonsilp, Morakot Choetkiertikul et al.

The recent advent of data protection laws and regulations has emerged to protect privacy and personal information of individuals. As the cases of privacy breaches and vulnerabilities are rapidly increasing, people are aware and more concerned about their privacy. These bring a significant attention to software development teams to address privacy concerns in developing software applications. As today’s software development adopts an agile, issue-driven approach, issues in an issue tracking sys...
Convolutional Neural Network N Gram Inverse Document Frequency Term Frequency Inverse Document Bidirectional Encoder Representations Google Chrome Deep Learning Models
Source: uow.edu.au

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