Results 201 to 210 of about 16,046 (295)

Generative Adversarial Networks (GANs): A Survey on Network Traffic Generation

open access: yesInternational Journal of Machine Learning and Computing, 2022
openaire   +1 more source

Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation

open access: yesJournal of Integrative Plant Biology, EarlyView.
ABSTRACT Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions.
Jiayi Fu   +4 more
wiley   +1 more source

Leveraging modified ex situ tomography data for segmentation of in situ synchrotron X‐ray computed tomography

open access: yesJournal of Microscopy, EarlyView.
Abstract In situ synchrotron X‐ray computed tomography enables dynamic material studies. However, automated segmentation remains challenging due to complex imaging artefacts – like ring and cupping effects – and limited training data. We present a methodology for deep learning‐based segmentation by transforming high‐quality ex situ laboratory data to ...
Tristan Manchester   +6 more
wiley   +1 more source

Comparing Facial Attractiveness and Professional Acceptance Between Real and AI‐Generated Orthodontic Treatment Outcome Images

open access: yesOrthodontics &Craniofacial Research, EarlyView.
ABSTRACT Background Facial attractiveness influences social and professional perceptions, including competence and employability. With the increasing use of artificial intelligence (AI) to generate photorealistic faces, it is important to understand how these images compare to real orthodontic treatment outcomes.
Gil Guilherme Gasparello   +5 more
wiley   +1 more source

Hybrid GAN-LSTM framework for diabetic foot ulcer image synthesis and automated diagnosis. [PDF]

open access: yesFront Med (Lausanne)
Vina A   +7 more
europepmc   +1 more source

Organizational Readiness, AI Literacy, and the New Frontier of R&D: How Generative AI Shapes Innovation Capacity

open access: yesR&D Management, EarlyView.
ABSTRACT Generative artificial intelligence (AI) can transform research and development (R&D) by enhancing efficiency, accelerating product development, and fostering innovation. As companies seek to integrate this technology, understanding the role of organizational readiness and AI literacy as well as generative AI's impact on innovation capacity ...
Stefanie Steinhauser, Paulina Heid
wiley   +1 more source

A deep generative approach to personalized super mario level design. [PDF]

open access: yesSci Rep
Baharvand D   +3 more
europepmc   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang   +12 more
wiley   +1 more source

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