Results 201 to 210 of about 585 (260)

Research - Proptest Fuzz Testing

This research document is part of the **aioss-format** project within The Anticloud research corpus. Published by Alpasan, Lois-Kleinner.
openaire   +1 more source

Comparative Study of Electric Vehicle Propulsion Systems Using Field‐Oriented Controlled Dual PMSMs With Novel Control Strategies Based on an EPS Filter and a Fuzzy Logic Regulator for Enhanced Stability and Safety

Energy Science &Engineering, EarlyView.
The growing demand for electric vehicles (EVs) has driven research into improving propulsion control systems, focusing on performance, efficiency, and safety. This study addresses a gap in advanced control systems for EV differentials and presents two solutions.
Rachad Moumni, Idriss Benlaloui, Kouider Laroussi, Amor Fezzani, Mohamed Metwally Mahmoud, Vojtech Blazek, Daniel Eutyche Mbadjoun Wapet, Ezzeddine Touti   +7 more
wiley   +1 more source

PMU‐Based Wide Area Monitoring With Machine Learning to Prevent Blackouts in Bangladesh Power System

Energy Science &Engineering, EarlyView.
A Unified Real‐time Dynamic State Measurements (URTDSM) system with PMU and Phasor Data Concentrator (PDC) deployment plan has been proposed to avoid blackout in the Bangladeshi power system. Machine learning has been used to process data from PMU to identify abnormal events. ABSTRACT The electrical power system must be trustworthy and secure enough to
Imi Bintey Fariha Rahman, Md. Minarul Islam, Md. Shahin Parvej, Abdul Hasib Chowdhury, Taha Selim Ustun, Kashem M. Muttaqi   +5 more
wiley   +1 more source

A novel intrusion detection framework using hybrid deep learning to detect IIoT cloud environments attacks. [PDF]

Sci Rep
Chen S, Feng X.
europepmc   +1 more source

Unlocking the Future of Insurance: The Power of Open Data, Digital Transformation, and Human Talent

Human Resource Development Quarterly, EarlyView.
ABSTRACT Despite rapid technological advancement in insurance, there remains a critical gap in understanding how open data initiatives affect employee digital competencies and organizational transformation. This research investigates this relationship through a systematic review of 51 scholarly articles published between 2018 and 2024, using structured
Narongsak Sukma, Siriporn Yamnill
wiley   +1 more source

High-Quality Representation Learning Approach to Spatio-Temporal Traffic Speed Data with <i>L_p,ϵ</i>-Norm. [PDF]

Entropy (Basel)
Yang L, Ma Z, Hou Y.
europepmc   +1 more source

Research progress on the depth of anesthesia monitoring based on the electroencephalogram

Ibrain, Volume 11, Issue 1, Page 32-43, Spring 2025.
Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
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

Technological Evolution in Fintech: A Decadal Scientometric and Systematic Review of Developments and Criticisms

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley   +1 more source