Results 91 to 100 of about 156,806 (296)
Lifecycle‐Based Governance to Build Reliable Ethical AI Systems
Systems Research and Behavioral Science, EarlyView.ABSTRACT Artificial intelligence (AI) systems represent a paradigm shift in technological capabilities, offering transformative potential across industries while introducing novel governance and implementation challenges. This paper presents a comprehensive framework for understanding AI systems through three critical dimensions: trustworthiness ...
Maikel Leon
wiley +1 more source
Meta-Heuristic Algorithms in Civil Engineering [PDF]
The Open Construction and Building Technology Journal, 2020 Danial Jahed Armaghani, Binh Pham Thai
openaire +1 more source
TAXON, EarlyView.Abstract This study investigates species boundaries in the lichen genus Arctomia (Arctomiaceae, Ascomycota) using an integrative approach combining molecular phylogenetics, full Bayesian population delimitation, heuristic and model‐based species delimitation, and supervised machine learning applied to morphological data.
Stefan Ekman +2 more
wiley +1 more source
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 +9 more
wiley +1 more source
Estimating the monthly pan evaporation with limited climatic data in dryland based on the extended long short-term memory model enhanced with meta-heuristic algorithms. [PDF]
Sci Rep, 2023 Fu T, Li X.
europepmc +1 more source
Deviation‐Guided Attention for Semi‐Supervised Anomaly Detection With Contrastive Regularisation
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Anomaly detection (AD) aims to identify abnormal patterns that deviate from normal behaviour, playing a critical role in applications such as industrial inspection, medical imaging and autonomous driving. However, AD often faces a scarcity of labelled data. To address this challenge, we propose a novel semi‐supervised anomaly detection method,
Guanglei Xie +6 more
wiley +1 more source
Ant Colony Optimization and Genetic Algorithm for Fuzzy Stochastic Production-Distribution Planning
Applied Sciences, 2018 In this paper, a tactical Production-Distribution Planning (PDP) has been handled in a fuzzy and stochastic environment for supply chain systems (SCS) which has four echelons (suppliers, plants, warehouses, retailers) with multi-products, multi-transport
Umit Sami SAKALLI, Irfan ATABAS
doaj +1 more source
Coevolutionary Neural Dynamics With Learnable Parameters for Nonconvex Optimisation
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Nonconvex optimisation plays a crucial role in science and industry. However, existing methods often encounter local optima or provide inferior solutions when solving nonconvex optimisation problems, lacking robustness in noise scenarios. To address these limitations, we aim to develop a robust, efficient and globally convergent solver for ...
Yipiao Chen +3 more
wiley +1 more source
Parameter setting of meta-heuristic algorithms: a new hybrid method based on DEA and RSM. [PDF]
Environ Sci Pollut Res Int, 2022 Shadkam E.
europepmc +1 more source
A Universal Meta‐Heuristic Framework for Influence Maximisation in Hypergraphs
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Influence maximisation (IM) aims to select a small number of nodes that are able to maximise their influence in a network and covers a wide range of applications. Despite numerous attempts to provide effective solutions in simple networks, higher‐order interactions between entities in various real‐world systems are usually not taken into ...
Ming Xie +5 more
wiley +1 more source