Results 161 to 170 of about 1,185,392 (332)

On the Applicability of the Advocacy Coalition Framework for Analyzing EU Policy Processes

European Policy Analysis, EarlyView.
ABSTRACT Initially developed for the US context, the Advocacy Coalition Framework (ACF) is increasingly used to analyze policy processes in the EU. But policymaking in EU differs from the US context, why the applicability of ACF in the EU context should be scrutinized.
Fredrik von Malmborg
wiley   +1 more source

Domain‐adapted driving scene understanding with uncertainty‐aware and diversified generative adversarial networks

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Autonomous vehicles are required to operate in an uncertain environment. Recent advances in computational intelligence techniques make it possible to understand driving scenes in various environments by using a semantic segmentation neural network, which assigns a class label to each pixel.
Yining Hua, Jie Sui, Hui Fang, Chuan Hu, Dewei Yi   +4 more
wiley   +1 more source

Machine learning-based urban densification: extending roof ridge lines for sustainable housing extension using generative adversarial networks [PDF]

Yangzhi Li, Jingwei Li, Qiwei Song
openalex   +1 more source

A Machine Learning Framework for Generating Photorealistic Photos of Real Time Objects using Adam Optimizer by a Generative Adversarial Network (GAN)

, 2022
Lakshmikanth Paleti, Ramakrishna Badiguntla, H. Venkateshwara Reddy, K. Prabhakar, CH. Suresh Babu, K. Vamsi Krishna   +5 more
openalex   +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

Rethinking Robustness in Machine Learning: Use of Generative Adversarial Networks for Enhanced Robustness

, 2022
Hande Arslan
openalex   +1 more source

Legal Risks of Adversarial Machine Learning Research [PDF]

, 2020
Ram Shankar Siva Kumar, Jonathon W. Penney, Bruce Schneier, Kendra Albert   +3 more
openalex   +1 more source

Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study

Energy Science &Engineering, EarlyView.
Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali, Muhammad Yaqoob Javed, Aamer Bilal Asghar, Khurram Hashmi, Abbas Javed, Basem Alamri, Krzysztof Ejsmont   +6 more
wiley   +1 more source

Adversarial Examples for Captcha Generation Adversarial Machine Learning for Social Good

, 2023
Chen Hajaj, Meir Litman
openalex   +1 more source