Recent years have shown a growing effort in the evaluation of DNA given activity level propositions. Yet, its implementation remains challenging for forensic scientists due to the complexity of assessing relevant DNA TPPR mechanisms. One particular challenge is the sparsity of relevant experimental data …

Efficient hydrogen (H2) storage remains a major challenge for clean energy applications. This study presents an AI-driven methodology to optimize H2 storage in porous carbon adsorbents. A comprehensive dataset of 917 literature-derived entries was used to develop two machine learning models: Random Forest …

Indoor service robots need perception that is robust, more privacy-friendly than RGB video, and feasible on embedded hardware. We present a camera-free 2D LiDAR object detection pipeline that encodes short-term temporal context by stacking three consecutive scans as RGB channels, yielding a compact YOLOv8n …

Reinforcement learning offers a promising approach for personalized, early-stage detection of behavioral events such as agitation in individuals with dementia, particularly when contextual insights from care staff are integrated. Given the scarcity and the ethical constraints of real-world agitation …

Before finalizing the design plans for the Seawater Reverse Osmosis (SWRO) plant in Jubail, Saudi Arabia, requested by IDOM’s client, a flood risk analysis of the site is required. Within this flood risk analysis, the impacts on the SWRO site will be simulated during a rainfall event with a return period …

In this study, eye-tracking and deep learning are employed to classify pilot experience during a twin-engine Piper Seneca flight simulator based on the potential to enhance aviation training and safety through the integration of human cognitive behaviors with artificial intelligence to optimize inter-cognitive …

Circular, biobased, and modular construction practices are gaining traction as cities seek to reduce the environmental impact of the built environment. However, little is known about how these strategies affect construction logistics and their associated emissions. We develop an agent-based model to …

Gaussian Splatting has emerged as a powerful technique for high-fidelity 3D scene representation, yet its computational demands hinder rapid visualization, particularly on CPU-based systems. This paper introduces a lightweight method for efficient thumbnail generation from Gaussian splatting data, leveraging …

Uncertainties in the rate of sea level rise, coupled with ongoing urban expansion, are a challenge for city planners designing flood risk adaptation strategies. This study quantifies flood exposure in Rotterdam's unembanked areas from 1970 to 2150. We modelled flood hazards for 10-, 100-, and 1000-year …

This century, greenhouse gas emissions such as carbon dioxide, methane and nitrogen oxides must be significantly reduced. Greenhouse gases absorb and emit infrared radiation that contributes to global warming, which can lead to irreversible negative consequences for humans and the environment. Greenhouse …