Search

Physical aggression is a serious and widespread problem in society, affecting people worldwide. It impacts nearly every aspect of life. While some studies explore the root causes of violent behavior, others focus on urban planning in high-crime areas. Real-time violence detection, powered by artificial intelligence, offers a direct and efficient solution, reducing the need for extensive human supervision and saving lives. This paper is a continuation of a systematic mapping study and its objective is to provide a comprehensive and up-to-date review of AI-based video violence detection, specifically in physical assaults. Regarding violence detection, the following have been grouped and categorized from the review of the selected papers: 21 challenges that remain to be solved, 28 datasets that have been created in recent years, 21 keyframe extraction methods, 16 types of algorithm inputs, as well as a wide variety of algorithm combinations and their corresponding accuracy results. Given the lack of recent reviews dealing with the detection of violence in video, this study is considered necessary and relevant. [ABSTRACT FROM AUTHOR]

[Display omitted] • Relationship among morphology, electronic and magnetic properties of MnWO 4. • Magnetic and electronic properties of the different surfaces of MnWO 4. • Cohesion between theory and experimentation for MnWO 4 morphologies. Manganese tungstate (MnWO 4) compounds have gathered tremendous interest in the research community due to their wide range of applications. Herein, we show a comprehensive experimental, theoretical and computational study aimed at providing an in-depth understanding of the morphology as well as optical, electronic and magnetic properties of monoclinic MnWO 4. In order to evaluate such properties together with the geometry and vibrational frequencies of these materials, first-principles calculations were used at the DFT level. The synthesis and analysis of these properties were then featured by (i) the composition, geometry, and electronic and magnetic structure of the exposed surfaces at the morphology based on the different numbers of unsaturated superficial Mn and W cations (local coordination, i.e., clusters) of each surface, and (ii) the determination of the energy profiles associated with the transformation process between different morphologies. Additionally, we used a combination of theories and simulations to link experimental results to a prediction of the corresponding properties. These system-specific findings at the atomic level provide a powerful insight for understanding and tuning optical/electronic/magnetic properties of MnWO 4 -based materials. [ABSTRACT FROM AUTHOR]