Results 161 to 170 of about 20,865 (294)

Optimal structural design method for reinforced concrete column in buildings with high floor heights using a genetic algorithm

Structural Concrete, EarlyView.
Abstract Globally, there is a growing trend toward taller, larger, and more structurally diverse buildings that require expansive interior spaces. Rapid technological advancements have surged the demand for data centers, while the expansion of e‐commerce has increased logistics volumes, driving the need for large‐scale warehouses.
Han Yong Lee, Byeung‐Kuy Jung, Byung Kwan Oh   +2 more
wiley   +1 more source

Explainable artificial intelligence (XAI)‐powered design framework for lightweight strain‐hardening ultra‐high‐performance composites (SH‐UHPC)

Structural Concrete, EarlyView.
Abstract Lightweight strain‐hardening ultra‐high‐performance concrete composite (SH‐UHPC) is an outstanding alternative for engineering applications and infrastructure thanks to its outstanding strength, toughness, ductility, and low density. The integration of artificial intelligence (AI)‐based modeling strategies into engineering problems can ...
Metin Katlav, Kazim Turk
wiley   +1 more source

A Systems‐Level Approach to Address Risks and Ethics in Artificial Intelligence Systems

Systems Engineering, EarlyView.
ABSTRACT Artificial intelligence (AI) is rapidly changing the world, from completely controlling routine or mundane tasks like text and image generation, to powering advanced algorithms that control critical systems. The recent advances in generative AI quickly overwhelmed multiple industries from education to finance as first adopters rushed (and ...
Vincent P. Paglioni, Torrey Mortenson
wiley   +1 more source

A generic agent-based framework for cooperative search using pattern matching and reinforcement learning [PDF]

, 2011
Beullens, P., Martin, Simon, Ouelhadj, Djamila, Ozcan, E.   +3 more
core  

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

Building Blocks as Experiences in Dynamic Capacitated Arc Routing Problems

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The dynamic capacitated arc routing problem (DCARP) aims to update the service paths of vehicles in the capacitated arc routing problem when uncertain factors deteriorate the current schedule of vehicles' services. A DCARP scenario comprises a series of DCARP instances that share similarities with each other. Therefore, optimisation experience
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao   +4 more
wiley   +1 more source

A Quantised Push‐Sum Distributed Adaptive Momentum Algorithm for Optimisation Over Directed Networks

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In this paper, we investigate a distributed constrained optimisation problem over directed networks. The agents in the networks conduct local computations and communications, endeavouring to collaboratively minimise the aggregation of all locally known convex cost functions subject to a global constraint set.
Qingguo Lü, Mingyu Guan, Chenglong He, Chen Chen, Xiangguang Dai, Man‐Fai Leung, Wei Zhang   +6 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

Artificial Neural Network Surrogate Modelling for Predicting and Optimising CO2 Conversion to Methanol Under Uncertainty

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This study introduces a data‐driven surrogate modelling framework that combines an artificial neural network (ANN) with particle swarm optimisation (PSO) and a genetic algorithm (GA) to optimise methanol production under uncertain conditions.
Muhammad Zulkefal, Iftikhar Ahmad, Hakan Caliskan, Hiki Hong, Farooq Ahmad   +4 more
wiley   +1 more source

Clinician factors influencing decision-making in emergency general surgery (EGS): a scoping review protocol. [PDF]

BMJ Open
Groundwater E, Bisset CN, Bradley R, John-Charles R, Maeda Y, McKee T, Moug SJ.   +6 more
europepmc   +1 more source