Distinguishing compound and cumulative hazards using machine learning and fuzzy logic in multi-hazard susceptibility mapping. [PDF]
Sci RepEinali J +6 more
europepmc +1 more source
Do Sovereign‐Environmental, Social and Governance (S‐ESG) Commitments Promote Financial Inclusion?
Thunderbird International Business Review, EarlyView.ABSTRACT Given the need to respect humanity, the environment, and society, and the progressive development of social responsibility, environmental, social and governance (ESG) commitments and the need for ethical and sustainable finance, this paper aims to examine the impact of sovereign ESG on financial inclusion (FI).
Inès Gharbi +2 more
wiley +1 more source
A hybrid framework of hesitant fuzzy soft sets and rough sets for uncertainty modelling. [PDF]
Sci RepJahanvi, Nishad DK, Singh R, Khalid S.
europepmc +1 more source
Anti‐obesity medications and incident ocular outcomes: A systematic review and network meta‐analysis
VIEW, EarlyView.In this systematic review and network meta‑analysis of 140 studies, anti‑obesity medications showed heterogeneous ocular safety profiles. Semaglutide was associated with higher NAION risk (observational data), whereas dual/multi‑agonists and glucagon‐like peptide‐1 receptor agonists demonstrated favourable glaucoma and overall ocular outcomes ...
Linge Jian +5 more
wiley +1 more source
Multi-Source Perception, Intelligent Decision-Making, and Precision Control for Autonomous Agricultural Systems: A Comprehensive Review. [PDF]
Sensors (Basel)Zhang S +5 more
europepmc +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam +3 more
wiley +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Abnormalities in the heart's rhythm, known as arrhythmias, pose a significant threat to global health, often leading to severe cardiac conditions and sudden cardiac deaths. Therefore, early and accurate detection of arrhythmias is crucial for timely intervention and potentially life‐saving treatment.
Hasnain Ali Shah +4 more
wiley +1 more source
VDNeRF: Vision‐Only Dynamic Neural Radiance Field for Urban Scenes
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Neural radiance fields (NeRFs) implicitly model continuous three‐dimensional scenes using a set of images with known camera poses, enabling the rendering of photorealistic novel views. However, existing NeRF‐based methods encounter challenges in applications such as autonomous driving and robotic perception, primarily due to the difficulty of ...
Zhengyu Zou +7 more
wiley +1 more source
Efficient and interpretable maximal frequent fuzzy pattern mining with multi phase pruning and ternary search. [PDF]
Sci RepAl-Wagih K, Abdullah MA, Senan EM.
europepmc +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT This study investigates early detection of heart diseases using a new Enhanced Fuzzy Min‐Max (EFMM) neural network. Two key modifications are introduced: a refined EFMM contraction procedure during the learning phase to reduce data distortion and information loss, and a new weighted validation method to optimise hyperbox selection and improve ...
Mohammed Falah Mohammed +3 more
wiley +1 more source