Results 241 to 250 of about 1,662,189 (295)

Adversarial Machine Learning in Industrial IoT: A Systematic Review of Attack Realism, Defense Trade-Offs, and Deployment Gaps. [PDF]

Sensors (Basel)
Alsaidlani A, Rashid M, Aljabri M.
europepmc   +1 more source

Citizen Participation and Transport Sustainability: A Novel Fuzzy ZE‐AHP and Fuzzy ZE‐MABAC Model, Evidence From Dublin, Ireland

Sustainable Development, EarlyView.
ABSTRACT Strategic citizen engagement is fundamental to the socio‐technical transition toward sustainable urban mobility. This study investigates the integration of digital participatory tools within the transport planning framework of Dublin, Ireland, to facilitate inclusive, transparent, and equitable governance.
Sarbast Moslem, Brian Caulfield
wiley   +1 more source

Generative AI‐Driven Supply Chain Digital Innovation: Enabling Integration, Resilience, and Sustainable Business Value Creation

Sustainable Development, EarlyView.
ABSTRACT In today's volatile, uncertain, complex, and ambiguous (VUCA) business environment, organizations face mounting pressure to develop agile and resilient supply chains capable of withstanding increasingly frequent disruptions. At the same time, sustainability has evolved into a strategic necessity, requiring firms to balance competitiveness with
Arsalan Zahid Piprani, Sajid Nazir, Mahmood Ali, Sumona Mukhuty, Jyri Vilko   +4 more
wiley   +1 more source

Data-Efficient Unsupervised Recalibration of Calorimeter Sensor Arrays Using Wasserstein Adversarial Learning. [PDF]

Sensors (Basel)
Ali S, Bocharnikov V, Ratnikov F, Hushchyn M, Ryzhikov A, Derkach D.   +5 more
europepmc   +1 more source

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

Adversarial dynamical systems characterize when data-driven learning succeeds or fails. [PDF]

Nat Commun
Colbrook MJ, Mezić I, Stepanenko A.
europepmc   +1 more source

Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning

SmartBot, EarlyView.
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo, Rodrigo S. Jamisola Jr., Molaletsa Namoshe   +2 more
wiley   +1 more source

AgroPatch AutoStrike for adversarial patch attacks on plant disease detection models. [PDF]

iScience
Wu Y, Wang M, Jin X, Dai Y, Liu L, Yuan W, Ye Y, Zhu Z, Gu L, Zhang Y.   +9 more
europepmc   +1 more source

World Models for Robotic Manipulation: A Survey

SmartBot, EarlyView.
World models enable robots to anticipate how candidate actions may alter object configurations, contact states, and scene geometry before physical execution. This survey examines world models for robotic manipulation as action‐conditioned predictive systems and organizes the literature according to predicted representations, interfaces between ...
Fangyuan Wang, Ziyuan Wang, Guorui Pei, Mengshi Zhang, Canxi Liang, Jun Hu, Zhongxuan Li, Jinsong Wu, Ning Han, Zeqing Zhang, Jiaming Qi, Hongmin Wu, Shiyao Zhang, Pai Zheng, Jia Pan, David Navarro‐Alarcon, Sichao Liu, Peng Zhou   +17 more
wiley   +1 more source

A compositional framework for automated discovery of adversarial attacks. [PDF]

Sci Rep
Radionov R, Levina A.
europepmc   +1 more source