Results 131 to 140 of about 83,757 (226)
Straddle carrier routing optimization at container terminals utilizing telemetry‐based prediction
Abstract Efficient vehicle routing and scheduling for horizontal transport means on container terminals can reduce lead times and travel distances, resulting in fuel savings and productivity gains. We apply machine learning to emulate operational processes, bridging the gap between theoretical optimization models and real‐world practices at container ...
Julian Neugebauer +3 more
wiley +1 more source
A Systematic Review on Applications of Artificial Intelligence for Obesity Prevention
ABSTRACT This systematic review examines the applications of artificial intelligence (AI) in preventing obesity, addressing a critical public health issue that affects a substantial portion of the population. With obesity rates rising alarmingly, particularly in the United States, this review synthesizes findings from 46 studies published between 2008 ...
Atefehsadat Haghighathoseini +4 more
wiley +1 more source
Review of Water Supply, Treatment and Distribution: Overcoming Challenges for Sustainable Management
ABSTRACT Water management faces increasing challenges driven by population growth, accelerated urbanization and climate change, demanding integrated and sustainable approaches to ensure the preservation of water resources. Water scarcity and rising demand intensify the vulnerability of various regions, threatening both water supply and environmental ...
André Linneo Tocchetto +5 more
wiley +1 more source
The team orienteering problem with variable time windows
Abstract The orienteering problem is well‐established within the domain of operational research. This paper introduces the team orienteering problem with variable time windows (TOPVTW) as a new variant of the team orienteering problem with time windows. The distinguishing feature of the TOPVTW is the adaptive time windows, which evolve dynamically as a
Bibiana Granda, Begoña Vitoriano
wiley +1 more source
Abstract The significance of last‐mile logistics in the healthcare supply chain is growing steadily, especially in pharmacies where the growing prevalence of medication delivery to patients' homes is remarkable. This paper proposes a novel mathematical model for the last‐mile logistics of the pharmaceutical supply chain and optimizes a pharmacy's ...
Elise Potters +4 more
wiley +1 more source
Abstract In the last decade, explainability has been attracting much attention in the machine learning community. However, this research topic extends beyond this field to encompass others such as operations research and combinatorial optimization (CO).
Mathieu Lerouge +3 more
wiley +1 more source
This study demonstrates how modern machine learning methods, specifically Bayesian optimization, can address complex challenges in chemistry. As a case study, optimal synthesis conditions are identified for tailoring product properties in starch phosphate carbamate synthesis, highlighting efficiency and innovation in data‐driven materials design ...
Florian Rothenhäusler +3 more
wiley +1 more source
A Guide to Bayesian Optimization in Bioprocess Engineering
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska +5 more
wiley +1 more source
The proposed model showed stable improvements in key operational indicators, including funding cost, liquidity buffer, and operational efficiency. It also outperformed the baselines in metrics related to tail risk control, maximum drawdown, cash gaps, and compliance triggers, demonstrating superior robustness and internal control performance.
Qianqian Wang, Tong Zhang
wiley +1 more source
Multi-Objective Optimal Dispatch of Integrated Energy Systems Guided by Dynamic Carbon Emission Factors. [PDF]
Lin Y +9 more
europepmc +1 more source

