Results 251 to 260 of about 43,961 (294)
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
Exposing Face Manipulation Based on Generative Adversarial Network-Transformer and Fake Frequency Noise Traces. [PDF]
Man Q, Cho YI.
europepmc +1 more source
Abstract Research Summary Firm technological research has the potential to spawn multiple applications. Despite recognizing such potential, past literature disagrees on the process through which firms discover and grow new applications out of their past technological research.
Xirong (Subrina) Shen
wiley +1 more source
A generative adversarial network for multiple reads reconstruction in DNA storage. [PDF]
Zheng X +6 more
europepmc +1 more source
Lifecycle‐Based Governance to Build Reliable Ethical AI Systems
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
Advanced generative adversarial network for optimizing layout of wireless sensor networks. [PDF]
Kumar SP +3 more
europepmc +1 more source
Mission Aware Cyber‐Physical Security
ABSTRACT Perimeter cybersecurity, while essential, has proven insufficient against sophisticated, coordinated, and cyber‐physical attacks. In contrast, mission‐centric cybersecurity emphasizes finding evidence of attack impact on mission success, allowing for targeted resource allocation to mitigate vulnerabilities and protect critical assets.
Georgios Bakirtzis +3 more
wiley +1 more source
The analysis of generative adversarial network in sports education based on deep learning. [PDF]
Eerdenisuyila E, Li H, Chen W.
europepmc +1 more source

