Results 211 to 220 of about 2,268,403 (339)
ABSTRACT Amid growing resource pressures, environmental regulation plays a critical role in enabling the transition to a circular economy (CE). This study conducts a systematic literature review to synthesize how different regulatory approaches—command‐and‐control, market‐based, voluntary, and reflexive—affect CE transitions across economic and ...
Li Yuan
wiley +1 more source
Enhancing DNN Adversarial Robustness via Dual Stochasticity and Geometric Normalization. [PDF]
Wu X, Han G.
europepmc +1 more source
Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches
ABSTRACT Machine learning (ML) models are increasingly used in quantum chemistry, but their reliability hinges on uncertainty quantification (UQ). In this study, we compare two prominent UQ paradigms—deep evidential regression (DER) and deep ensembles—on the QM9 and WS22 datasets, with a specific emphasis on the role of post hoc calibration.
Bidhan Chandra Garain +3 more
wiley +1 more source
Optimized CatBoost machine learning (OCML) for DDoS detection in cloud virtual machines with time-series and adversarial robustness. [PDF]
Samy H, Bahaa-Eldin AM, Sobh MA, Taha A.
europepmc +1 more source
Evaluating and Improving Adversarial Robustness of Deep Learning -Based Network Intrusion Detector
Yusuf Magaji Mada, Ahmad Bello
openalex +2 more sources
How artificial intelligence (AI) and digital twin (DT) technologies are revolutionizing tunnel surveillance, offering proactive maintenance strategies and enhanced safety protocols. It explores AI's analytical power and DT's virtual replicas of infrastructure, emphasizing their role in optimizing maintenance and safety in tunnel management.
Mohammad Afrazi +4 more
wiley +1 more source
GAN‐LSTM‐3D: An efficient method for lung tumour 3D reconstruction enhanced by attention‐based LSTM
Abstract Three‐dimensional (3D) image reconstruction of tumours can visualise their structures with precision and high resolution. In this article, GAN‐LSTM‐3D method is proposed for 3D reconstruction of lung cancer tumours from 2D CT images. Our method consists of three phases: lung segmentation, tumour segmentation, and tumour 3D reconstruction. Lung
Lu Hong +12 more
wiley +1 more source
Adaptive Epsilon Adversarial Training for Robust Gravitational Wave Parameter Estimation Using Normalizing Flows [PDF]
Yiqian Yang, Xihua Zhu, Fan Zhang
openalex +1 more source
A high‐performance Triboelectric Nanogenerator (TENG) acoustic sensor using polyimine/graphite polypropylene (PI/GP) was developed for real‐time, sustainable sound monitoring and classification. The self‐powered device delivers 25.67 μW output power, 92.7% accuracy with MobileNet V1, and powers a wireless transmission circuit, demonstrating dual ...
Majid Haji Bagheri +8 more
wiley +1 more source

