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 +4 more
wiley +1 more source
Adversarial debiasing for age-equitable diabetes prediction: performance-fairness trade-offs and partition dependency in machine learning. [PDF]
Yata VK +4 more
europepmc +1 more source
Integrating multimodal data and machine learning for entrepreneurship research
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
Prediction model for compressive strength of alkali-activated multi-source solid-waste grouting materials based on generative adversarial networks and machine learning. [PDF]
Yue Q +6 more
europepmc +1 more source
Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning
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 +2 more
wiley +1 more source
Editorial for the Special Issue "Applications of Biomedical Imaging and Sensing Technologies in Disease Diagnosis". [PDF]
Marcon M.
europepmc +1 more source
World Models for Robotic Manipulation: A Survey
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 +17 more
wiley +1 more source
Privacy-preserving and robust mouse dynamics authentication using hybrid transformer-CNN and federated learning. [PDF]
Sasikumar K, Nagarajan S.
europepmc +1 more source
Organizing across cognitive asymmetry in human–AI collaboration: A study of perfume creation
Abstract Research Summary As organizations increasingly adopt generative AI (GenAI), they face a strategic challenge: not only deciding which tasks AI should perform, but also how to organize the integration of human and AI efforts to produce viable solutions.
Tomoko Yokoi +3 more
wiley +1 more source
Rank-1 Approximation of Inverse Fisher for Natural Policy Gradients in Deep Reinforcement Learning
Publisher Copyright: © 2026, Transactions on Machine Learning Research. All rights reserved.Natural gradients have long been studied in deep reinforcement learning due to their fast convergence properties and covariant weight updates.
Dash, Satya Prakash +4 more
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