Results 181 to 190 of about 256,802 (314)

Regulating Uncertainty: The Importance of Trust and Affect in the Regulation of AI in The Netherlands

Regulation &Governance, EarlyView.
ABSTRACT The rapid adoption of artificial intelligence (AI) introduces significant uncertainty regarding its future applications and potential risks. What is the preferred regulatory approach when confronted with such uncertainty? To cope with uncertainty, people often screen information in a biased way, consistent with their own prior beliefs and ...
Esther Versluis, Aneta Spendzharova, Odile Feltkamp   +2 more
wiley   +1 more source

Production routing decisions in a two‐echelon supply chain with multiple delivery modes

International Transactions in Operational Research, Volume 33, Issue 5, Page 3385-3421, September 2026.
Abstract We study an original two‐echelon production routing problem with multiple delivery modes (2E‐PRP‐MDM). In the first echelon, the primary production facility is tasked with satisfying the demands of two distinct entities: a set of warehouses and a set of customers through direct shipments. In the second echelon, warehouses become delivery hubs,
Rachida Benfedel, Fayçal Belkaid, Nadjib Brahimi   +2 more
wiley   +1 more source

Dynamic multi-objective aviation maintenance scheduling: an algorithmic framework. [PDF]

Sci Rep
Qi L, Lv C, Zhang T, Wang Y.
europepmc   +1 more source

In-situ efficiency and parameter estimation for induction motors using heuristic optimization. [PDF]

Sci Rep
Göztaş M, Sahman MA, Çunkaş M.
europepmc   +1 more source

Predicting Audit Reports Using Meta-Heuristic Algorithms

Journal of Distribution Science, 2013
Hashem Valipour, Fatemeh Salehi, Mostafa Bahrami   +2 more
openaire   +1 more source

A Guide to Bayesian Optimization in Bioprocess Engineering

Biotechnology and Bioengineering, Volume 123, Issue 4, Page 805-830, April 2026.
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, Emma Pajak, Katrin Rosenthal, Antonio del Rio Chanona, Eric von Lieres, Laura M. Helleckes   +5 more
wiley   +1 more source

A Comprehensive Review of Metaheuristic Algorithms for Node Placement in UAV Communication Networks. [PDF]

Sensors (Basel)
Temesheva SA, Turlykozhayeva DA, Akhtanov SN, Ussipov NM, Zhunuskanov AA, Sun W, Xu Q, Tao M.   +7 more
europepmc   +1 more source

A Smartphone and Web‐Based Automated Platform for Segmenting Urinary Tract Infection Using a Deep Learning‐Based Approach

Engineering Reports, Volume 8, Issue 4, April 2026.
This study presents a deep learning–powered urinary sediment analysis system designed to operate on both web and mobile platforms. At its core is a UNet++ multi‐class segmentation model trained to identify various sediment types, including background, rod, red blood cells, white blood cells, yeast, miscellaneous, single epithelial cell, small ...
Justice Williams Asare, Lukman Hamza, Pious Ackon, Kingsley Buabeng, Emmanuel Akwah Kyei, Martin Mabeifam Ujakpa, William Leslie Brown‐Acquaye, Emmanuel Freeman   +7 more
wiley   +1 more source

MPPT algorithms for grid-connected solar systems including deep learning approaches. [PDF]

Sci Rep
Değermenci M, Yalman Y, Olcay K.
europepmc   +1 more source

Recent advances in data‐driven and artificial intelligence‐integrated perovskite solar cells: From design to self‐driving laboratories

InfoMat, Volume 8, Issue 4, April 2026.
To address the limitations of conventional trial‐and‐error approaches, perovskite solar cell research is shifting toward a new paradigm that utilizes datasets and AI. This review examines the fundamental elements of data‐driven and AI‐integrated research: data platforms, AI methodologies, and self‐driving laboratories, demonstrating how their ...
Jaehee Lee, Juhwan Noh, Hyunjun Lee, Yea‐Lee Lee, Jino Im, Jangwon Seo   +5 more
wiley   +1 more source