Results 211 to 220 of about 39,632 (294)

Steering Industrial Decarbonisation: Explaining OECD Policy Variation

Environmental Policy and Governance, EarlyView.
ABSTRACT The ongoing rise in CO2 emissions driven by energy‐intensive industries highlights the urgent need for targeted policy interventions, with national strategies playing a crucial role in the low‐carbon transition. However, the factors that shape the ambition of industrial decarbonisation policies remain poorly understood.
Ebba Minas
wiley   +1 more source

MGANSL: multi-network representation generating with generative adversarial network for synthetic lethality prediction. [PDF]

BMC Bioinformatics
Li J, Lu X, Li Z, Liu X, Liu H, Ruan J.
europepmc   +1 more source

Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy

Epilepsia, EarlyView.
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie, Arianna Damiani, Mahsa Khoshkhou, Luis A. Sanchez, Rachel J. Smith, Shruti H. Agashe, Jorge A. Gonzalez‐Martinez, Jennifer Hopp, Adam S. Charles, Sridevi V. Sarma, Joon‐Yi Kang   +10 more
wiley   +1 more source

Dynamic background motion object semantic segmentation algorithm based on generative adversarial network and transformer collaboration. [PDF]

Sci Rep
Li Y, Luo Z, Chen T, Huang X, Zhong C, Zhu G, Jin D, Cheng C, Zhang Y, Zhao J, Gao P.   +10 more
europepmc   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Synthesis of Amyloid Images Using a Generative Adversarial Network from 2-Dimensional ¹⁸F-FDG Images and Evaluation for Clinical Use. [PDF]

J Nucl Med Technol
Honda M, Yamada T, Watanabe S, Watanabe A, Nagaoka T, Nemoto M, Mikami K, Hanaoka K, Kaida H, Handa H, Ishii K, Kimura Y.   +11 more
europepmc   +1 more source

Application of GAN–CNN in Risk Assessment of Pipeline Failures in Multiphase Pipeline With Image Information Encoding Approach

Energy Science &Engineering, EarlyView.
Field data from multiphase pipelines are transformed into grayscale images via Image Information Encoding, preserving feature values and interparameter relationships. A GAN–CNN model generates synthetic images that are decoded to expand the original database.
Sihang Chen, Na Zhang, Biyuan Shui
wiley   +1 more source

Novel molecule design with POWGAN, a policy-optimized Wasserstein generative adversarial network. [PDF]

J Cheminform
Macedo B, Vaz IR, Gomes TT.
europepmc   +1 more source

A Review of Overcurrent Protection in Smart Grids Under Cyber‐Physical Threats With a Cyber‐Physical Evaluation Framework

Energy Science &Engineering, EarlyView.
By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali, Anas AlMajali, Naser Naily, Hassen Loukil, Salah AbuGhalyon, William Holderbaum, Abdelaziz Salah Saidi   +6 more
wiley   +1 more source

Boundary-aware dual-discriminator generative adversarial network for data augmentation in financial transaction fraud detection. [PDF]

PLoS One
Zhu H, Wang Z, Xie Y, Yao J.
europepmc   +1 more source