On the generalization limits of quantum generative adversarial networks with pure state generators. [PDF]
Frkatovic J +9 more
europepmc +1 more source
Beyond the Human Negotiator: Generative AI and the Threshold of Autonomous Decision‐Making
ABSTRACT This article provides a comprehensive framework for understanding the role of artificial intelligence (AI) in negotiation, evaluating contemporary systems through the specific case study of Large Language Models (LLMs). To address the lack of established terminology, it first proposes a new typology distinguishing Negotiation Supported by AI ...
Martin Svatos
wiley +1 more source
Semi-supervised learning for colposcopic image classification using generative adversarial networks. [PDF]
Liang F +8 more
europepmc +1 more source
A Non-Adversarial Approach to Idempotent Generative Modelling
Idempotent Generative Networks (IGNs) are deep generative models that also function as local data manifold projectors, mapping arbitrary inputs back onto the manifold.
Al-Jaff, Mohammed +19 more
core +1 more source
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu +8 more
wiley +1 more source
Generative adversarial networks for balancing and expanding data resources for computer-aided detection in colonoscopy. [PDF]
van der Laan JJH +4 more
europepmc +1 more source
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu +4 more
wiley +1 more source
Segmentation and classification of hippocampal subregions using multi-task generative adversarial networks. [PDF]
Azim SM, Kumar R, Corbett B, Dehzangi I.
europepmc +1 more source
Generative Models in Inorganic Crystals Discovery and Inverse Design
Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li +5 more
wiley +1 more source
Dental image analysis and surgical decision support using modified generative adversarial networks. [PDF]
Sivasathiya G, Thiagarajan R.
europepmc +1 more source

