Results 101 to 110 of about 432 (243)
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 +7 more
wiley +1 more source
Review of Fuzz Testing to Find System Vulnerabilities [PDF]
Fuzzing is an important new test and evaluation (T&E) approach to find information technology vulnerabilities, one that is undergoing rapid research development and improving utility.
Joiner, Keith
core +1 more source
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 +3 more
wiley +1 more source
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 +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 +2 more
wiley +1 more source
Cybersecurity Testing for Automotive Domain: A Survey. [PDF]
Sensors (Basel), 2022 Luo F +6 more
europepmc +1 more source
Energy Science &Engineering, EarlyView.This paper introduces a novel resilience‐based reward‐penalty scheme (RPS) for electricity grids facing high‐impact, low‐probability (HILP) disasters. By modeling the costs of proactive asset immunization against reactive RPS penalties, our analysis conclusively demonstrates that long‐term investment in grid resilience is the more economically rational
Amirhossein Yousefi Joobeni, Reza Dashti
wiley +1 more source
A Comprehensive Review of AI‐Powered Energy Systems
Energy Science &Engineering, EarlyView.The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo +5 more
wiley +1 more source
RLTG: Multi-targets directed greybox fuzzing. [PDF]
PLoS One, 2023 He Y, Zhu Y.
europepmc +1 more source