This article discusses the use of big data analytics to classify earthwork-related locations (ERLs), which are significant sources of urban dust pollution. The researchers used dump truck trajectory, point of…
Continue readingThe article presents a machine learning model designed to predict mortality rates in heart failure patients using voice biomarkers. The model uses a logistic regression system trained with patients’ speech…
Continue readingThe paper discusses a proposed AI and ML integrated audio fingerprinting algorithm to improve accuracy. The research builds on the Dejavu Project’s foundations and emphasizes real-world scenario simulations with diverse…
Continue readingThe article presents a reinforcement learning approach to solve the Stochastic Vehicle Routing Problem with Time Windows (SVRP). The goal is to optimize goods delivery by reducing travel costs. The…
Continue readingThe paper ‘Jack of All Trades, Master of Some’ introduces a transformer-based model, JAT, optimized for handling multi-modal data types and sequential decision-making tasks. The model demonstrates its versatility by…
Continue readingThis Google study presents initial results on predicting real-life user experience (UX) on laptops from their hardware specifications. The research focuses on web applications that run on Chromebooks. By tracking…
Continue readingThe article presents BiasEye, a system developed to assist in the material screening process during recruitment. The system is designed to make the decision-making process more transparent and unbiased. It…
Continue readingThe paper explores the field of news recommendation, a crucial component of online information sharing. It defines the problem, summarises current methods, and introduces a new approach, the News Recommendation…
Continue readingThe paper discusses extending the Predict-Then-Optimize (PtO) methodology to optimization problems with nondifferentiable Ordered Weighted Averaging (OWA) objectives. OWA objectives ensure fairness and robustness in decision models. The authors propose…
Continue readingThe paper discusses the development of WildfireGPT, an LLM agent tailored for wildfire analysis. The model is designed to provide accurate, specific information on wildfire risks, enhanced with additional context…
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