Results 221 to 230 of about 1,185,392 (332)

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

Privacy-Preserving Collaborative Diabetes Prediction in Heterogeneous Health Care Systems: Algorithm Development and Validation of a Secure Federated Ensemble Framework. [PDF]

JMIR Diabetes
Hasan MR, Li J.
europepmc   +1 more source

Adversarial Robustness in Natural Language Processing: An Empirical Analysis of Machine Learning Model Vulnerabilities to Adversarial Attacks [PDF]

Asheshemi Nelson Oghenekevwe, Okoro Akpohrobaro Daniel, Obode Aghogho Micheal   +2 more
openalex   +1 more source

How to grow new applications out of old research? Evidence from firm cumulative investments in deep learning

Strategic Management Journal, EarlyView.
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

Few-shot cross-domain fault diagnosis via adversarial meta-learning. [PDF]

Sci Rep
Guo Y, Dai J, Zhang J.
europepmc   +1 more source

Lifecycle‐Based Governance to Build Reliable Ethical AI Systems

Systems Research and Behavioral Science, EarlyView.
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

Assessing Capability Complexity Using Enterprise Architecture Framework

Systems Engineering, EarlyView.
ABSTRACT This study proposes a structured and quantitative methodology to evaluate the holistic complexity of system‐of‐systems (SoSs), employing the Zachman Architecture Framework (ZAF) as its foundational analytical tool. A five‐phase analytical procedure is developed and empirically validated, encompassing: (1) refinement of complexity measures, (2)
Javad Bakhshi, Mahmoud Efatmaneshnik
wiley   +1 more source

Efficient feature ranked hybrid framework for android Iot malware detection. [PDF]

Sci Rep
Saeed NH, Hamza AA, Sobh MA, Bahaa-Eldin AM.   +3 more
europepmc   +1 more source

Application of Stacked Machine Learning and Deep Learning Classifiers for Accurate Malware Classification with Real and Generative Adversarial Network Based Synthetic Datasets

Santosh Joshi, Alexander Pons, Shrirang Ambaji Kulkarni, Himanshu Upadhyay   +3 more
openalex   +1 more source

Ethical Testing in the Real World: Evaluating Physical Testing of Adversarial Machine Learning

, 2020
Kendra Albert, Maggie Delano, Jonathon W. Penney, Afsaneh Rigot, Ram Shankar Siva Kumar   +4 more
openalex   +1 more source