Results 211 to 220 of about 229,925 (327)

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

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

AI‐Driven Optimization Techniques for Power Quality Improvement in Microgrids: Trends, Techniques, and Future Directions

Energy Science &Engineering, EarlyView.
Decentralized energy systems are gaining momentum, and microgrids have become a vital component of the modern power landscape. Yet, maintaining power quality within these systems presents ongoing challenges due to the presence of nonlinear loads, variable renewable energy sources, and frequent switching operations.
Mahnoor Zahid, Hafiz Mudassir Munir, Mohammad Adeel, Fares Suliaman Alromithy, Mohammad R. Altimania, Ievgen Zaitsev   +5 more
wiley   +1 more source

Multi‐Objective Optimization Study of Time‐of‐Use Electricity Price for Electric Vehicles Based on WGAN‐GP

Energy Science &Engineering, EarlyView.
This graphical abstract visualizes the complete research workflow: Three‐Step Methodology: Scenario Generation (WGAN‐GP): Advanced neural network generates realistic wind and solar power scenarios with superior accuracy compared to traditional methods. EV Load Modeling: Monte Carlo simulation models 1000 EVs with moving boundary method for intelligent ...
Haiqiang Zhao, Min Liu, Weijian Wang, Yuanda Wu, Yongyuan Tian   +4 more
wiley   +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

Nested named entity recognition in traditional Chinese medicine electronic medical records via dual-granularity feature augmentation and span classification. [PDF]

Sci Rep
Minghao L, Qing Y, Chunlei C, Peng L.
europepmc   +1 more source

Overcoming barriers that limit the impact of ecological research

Frontiers in Ecology and the Environment, EarlyView.
Ecology and conservation researchers have diverse goals that often include both personal career aspirations and desires to enhance the well‐being of the natural world and its inhabitants. Perception of ecological research by ecologists typically involves a triad—linking goals, research, and impact.
Carlos Cano‐Barbacil, James F Cahill, Helen M Regan, Talya D Hackett, Jacob N Barney, Isabel Donoso, Franz Essl, Emili García‐Berthou, Tina Heger, Lotte Korell, Ingolf Kühn, Demetra Rakosy, Kristiina Visakorpi, Núria Roura‐Pascual   +13 more
wiley   +1 more source

The role of active inference in conscious awareness. [PDF]

PLoS One
Robinson JE, Corcoran AW, Whyte CJ, Sárközy A, Seth AK, Kovács G, Friston KJ, Pennartz CMA, Tononi G, Hohwy J, TWCF: INTREPID Consortium.   +10 more
europepmc   +1 more source

A Neural Rejection System Against Universal Adversarial Perturbations in Radio Signal Classification [PDF]

Lu Zhang, Sangarapillai Lambotharan, Gan Zheng, Fabio Roli   +3 more
openalex   +1 more source

Advancing Food Safety Through Artificial Intelligence: A Detailed Review of Monitoring and Detection Technologies

Food Safety and Health, EarlyView.
Artificial intelligence (AI) is revolutionizing food safety by enabling rapid detection, real‐time monitoring, and enhanced traceability. This review highlights recent advances, applications, and future directions for AI‐driven technologies in safeguarding the global food supply.
Anju Kanicheril Ambikalekshmi, Poojitha Pushparaj, Elsa Cherian, Rosamma Rajan, Lakshmi Mohan   +4 more
wiley   +1 more source