COLLABORATIVE ELECTRIC VEHICLE ROUTING WITH MEET POINTS

Collaborative electric vehicle routing with meet points

In this paper, we develop a profit-sharing-based optimal routing mechanism to incentivize horizontal collaboration among urban goods distributors.The core of this mechanism is based on exchanging MAKE UP REMOVERS goods at meet points, which is optimally planned en route.We propose a Collaborative Electric Vehicle Routing Problem with Meet Points (C

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Coupled Lateral and Longitudinal Controller for Over-Actuated Vehicle in Evasive Maneuvering With Sliding Mode Control Strategy

Coupled controllers are vital for safely handling vehicles, especially in critical driving situations that include changing lanes to avoid obstacles.Controllers specialized in emergencies must keep road users safe in critical situations.In this paper, we develop the coupled controller to Baby Bathtubs handle evasive maneuvers for an over-actuated v

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Prevalence and sensitization of atopic allergy and coeliac disease in the Northern Sweden Population Health Study

Background.Atopic allergy is effected by a number of environmental exposures, such as dry air and time spent outdoors, but there are few estimates of the prevalence in populations from sub-arctic areas.Objective.To determine the prevalence and severity of symptoms of food, inhalation and skin-related allergens and coeliac disease (CD) in the sub-ar

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Complex problems require complex solutions: the utility of social quality theory for addressing the Social Determinants of Health

Abstract Background In order to improve the health of the most vulnerable groups in society, the WHO Commission on Social Determinants of Health (CSDH) called for multi-sectoral action, which requires research and policy on the multiple and inter-linking factors shaping health outcomes.Most conceptual tools available to researchers tend to focus on

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Enhancing Sentiment Analysis with a CNN-Stacked LSTM Hybrid Model

This paper focuses on developing a new hybrid model to solve sentiment analysis problems in Natural language processing.Sentiment analysis is a key branch of Natural language processing (NLP) and new models with better performance can boost the development of machine learning.The new model mentioned in this research is a hybrid model containing con

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