Page 7 - Predictive Models News Today

/PRNewswire/ -- Agmatix, a start-up agtech business owned by leading global specialty minerals company, ICL, has today launched a breakthrough data technology...

/PRNewswire/ -- Agmatix, a start-up agtech business owned by leading global specialty minerals company, ICL, has today launched a breakthrough data technology...

A timely understanding of target vehicles (TVs) lateral behavior is essential for the decision-making and control of host vehicle. Existing physical model-based methods such as motion-based method and multiple centerline-based method are generally constructed based on TV pose and longitudinal velocity, and tend to ignore TV preview driving characteristic and other useful information such as lateral velocity and yaw rate. To address these issues, a driver preview and multiple centerline model-bas...

Identification of trends in viral load within communities, providing predictive models for healthcare institutions

Abstract Multiple vehicles control at an intersection is one of the most challenging scenarios in the vehicle control field due to the high number of constraints. However, regarding the control strategies of an isolated intersection, few studies have considered the longitudinal-lateral dynamics comprehensively. In the approaches that treat the turning curve as a straight line, a longitudinal dynamic model is adopted, while the lateral execution ability is ignored. The ideal decisions that ignor...

GeekWork Our Opportunity: Chewy’s Supply Chain Team is seeking a Senior Supply Chain Data Scientist to join the growing Supply Chain Analytics team. Combining a background in Supply Chain with a deep understanding of analytics and data science, you will be a part of a team responsible for strategic planning and research initiatives centered around our inventory and fulfillment network. This includes optimizing the way that we predict customer demand, purchase inventory, position inve...

Abstract Virtual power plants (VPPs) have become a driving force for the decentralized energy industry, due to their efficient management and control of distributed energy resources. Most of the operation strategies for VPPs are designed based on the day-ahead forecasts. However, the prediction errors of the renewable energy sources (RES) and loads in the power dispatch schedule can lead to a sub-optimal operation. In this paper, an adaptive and predictive energy management strategy for a real-...

Abstract Pedestrian motion trajectory prediction is an important task in intelligent driving, and it can provide a valuable reference for the subsequent path decision of intelligent driving. However, so far, there are only a few models in the field of specific pedestrian motion track prediction in intelligent driving from far shot first-person perspective video. To accomplish this task, we proposed a deep learning model for pedestrian motion trajectory prediction from far shot first-person pers...

Concept by Muhabit ul haq Synopsis As policymakers begin to develop standards for assessing and auditing algorithms, they must first define the class of decision-making or decision support tools to which their policies will apply. Leaving the term “algorithm” open to interpretation could place some of the models with the biggest impact beyond the reach of policies designed to ensure that such systems don’t hurt people. By Kristian Lum and Rumman ChowdhuryDescribing a decision-making syste...