Results 161 to 170 of about 82,552 (266)

Making Sense of the Bioeconomy: A Critical Analysis of EU Policy Narratives and Responses

Environmental Policy and Governance, EarlyView.
ABSTRACT The bioeconomy has become an increasingly popular concept in European Union (EU) policy, promising sustainable growth, job creation, and reduced environmental impacts. Yet its meaning remains contested, ambiguous, and politically charged. This study critically examines how EU bioeconomy policy narratives prior to 2025 construct this concept ...
Elena Zepharovich, Zora Kovacic, Thomas Völker, Paloma Yáñez‐Serrano, Ângela Guimarães Pereira   +4 more
wiley   +1 more source

A Hybrid Approach for IoT Security: Combining Ensemble Learning with Fuzzy Logic. [PDF]

Sensors (Basel)
Karakaya A.
europepmc   +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

An intelligent framework combining deep learning and fuzzy logic for accurate remote language translation. [PDF]

Sci Rep
Geng C.
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

Leveraging SHapley Additive exPlanations (SHAP) and fuzzy logic for efficient rainfall forecasts. [PDF]

Sci Rep
Malakouti SM.
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

Expression of concern: Optimizing load scheduling and data distribution in heterogeneous cloud environments using fuzzy-logic based two-level framework. [PDF]

PLoS One
PLOS One Editors.
europepmc   +1 more source

Real‐Time Incremental Learning Artificial Neural Networks Maximum Power Point Tracking With Raspberry Pi‐Based Meteorological Data Acquisition

Energy Science &Engineering, EarlyView.
We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine, Noureddine El Barbri, Mourad Yessef, Mohammed M. Alammar, Z.M.S. El‐Barbary, Hatim Ameziane   +5 more
wiley   +1 more source

Integrating Lyapunov based backstepping and neuro fuzzy logic with sliding mode control for precise trajectory tracking of differential drive robots. [PDF]

Sci Rep
Xu P, Maghsoudniazi M, Maghsoudniazi Y.
europepmc   +1 more source