Results 181 to 190 of about 780 (210)

Design of an AI-driven secure 5G-SDN framework with federated reinforcement learning for anomaly detection, mitigation, and attack forensics. [PDF]

Front Artif Intell
Shameli R, Rajkumar S.
europepmc   +1 more source

Toward Comprehensive Climate Action: Assessing Mitigation Approaches Across Canadian Municipalities

Environmental Policy and Governance, EarlyView.
ABSTRACT Local governments are widely regarded as key leaders in the global response to climate change. Understanding if and how municipalities commit to climate mitigation is crucial for assessing their contribution to global emission‐reduction goals and identifying barriers to effective climate transitions.
Aryana Soliz, Adriane MacDonald, David Talbot, Eduardo Ordonez‐Ponce, Ying Zhou, Samantha Hall Linton, Amelia Clarke, Amr ElAlfy   +7 more
wiley   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

The grand challenges of learning medical robot autonomy. [PDF]

Sci Robot
Dupont PE, Degirmenci A.
europepmc   +1 more source

Identifying Faults in Power Transformers Based on Machine‐Learning Algorithms Compared With Other Techniques

Energy Science &Engineering, EarlyView.
General framework of ensemble learning technique for transformer fault diagnostics compared with traditional dissolved gas analysis methods. ABSTRACT This paper implemented a comprehensive variety of modern machine‐learning techniques, which were demonstrated to be effective in handling complex tabular data, generating accurate predictions, and ...
Osama E. Gouda, Nourhan Ramadan, Matti Lehtonen, Mohamed M. F. Darwish   +3 more
wiley   +1 more source

Enhanced botnet detection in IoT networks using zebra optimization and dual-channel GAN classification. [PDF]

Sci Rep
Shareef SKK, Chaitanya RK, Chennupalli S, Chokkakula D, Kiran KVD, Pamula U, Vatambeti R.   +6 more
europepmc   +1 more source

Bipolar q $q$‐Fractional Fuzzy Aggregation Operators for Multi‐Criteria Decision‐Making in Optimal Renewable Energy Selection

Energy Science &Engineering, EarlyView.
This study introduces bipolar q‐fractional fuzzy sets and new aggregation operators to support renewable energy selection under uncertainty. The proposed decision‐making framework effectively integrates positive and negative evaluations, ensuring consistent ranking and robust performance, as demonstrated through practical analysis and comparative ...
Sagvan Y. Musa, Zanyar A. Ameen, Wafa Alagal, Baravan A. Asaad   +3 more
wiley   +1 more source

Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning

Energy Science &Engineering, EarlyView.
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari, Seyyed Mohammad Hashemi, Meisam Farajollahi   +2 more
wiley   +1 more source

Reinforcing Cotton Recycled Fibers for the Production of High-Quality Textile Structures. [PDF]

Polymers (Basel)
Azevedo T, Silva AC, Machado G, Chaves D, Ribeiro AI, Fangueiro R, Ferreira DP.   +6 more
europepmc   +1 more source