[HTML][HTML] Machine learning in aerodynamic shape optimization
Abstract Machine learning (ML) has been increasingly used to aid aerodynamic shape
optimization (ASO), thanks to the availability of aerodynamic data and continued …
optimization (ASO), thanks to the availability of aerodynamic data and continued …
[HTML][HTML] Machine learning algorithms for depression: diagnosis, insights, and research directions
Over the years, stress, anxiety, and modern-day fast-paced lifestyles have had immense
psychological effects on people's minds worldwide. The global technological development …
psychological effects on people's minds worldwide. The global technological development …
Network traffic prediction model considering road traffic parameters using artificial intelligence methods in VANET
SS Sepasgozar, S Pierre - IEEE Access, 2022 - ieeexplore.ieee.org
Vehicular Ad hoc Networks (VANETs) are established on vehicles that are intelligent and
can have Vehicle-to-Vehicle (V2V) and Vehicle-to-Road Side Units (V2R) communications …
can have Vehicle-to-Vehicle (V2V) and Vehicle-to-Road Side Units (V2R) communications …
Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open …
Driver distraction is one of the main causes of fatal traffic accidents. Therefore, the ability to
detect driver inattention is essential in building a safe yet intelligent transportation system …
detect driver inattention is essential in building a safe yet intelligent transportation system …
[HTML][HTML] Detecting anomalies in financial data using machine learning algorithms
A Bakumenko, A Elragal - Systems, 2022 - mdpi.com
Bookkeeping data free of fraud and errors are a cornerstone of legitimate business
operations. The highly complex and laborious work of financial auditors calls for finding new …
operations. The highly complex and laborious work of financial auditors calls for finding new …
[HTML][HTML] Automated muzzle detection and biometric identification via few-shot deep transfer learning of mixed breed cattle
Livestock welfare and management could be greatly enhanced by the replacement of
branding or ear tagging with less invasive visual biometric identification methods. Biometric …
branding or ear tagging with less invasive visual biometric identification methods. Biometric …
Anomaly detection using explainable random forest for the prediction of undesirable events in oil wells
The worldwide demand for oil has been rising rapidly for many decades, being the first
indicator of economic development. Oil is extracted from underneath reservoirs found below …
indicator of economic development. Oil is extracted from underneath reservoirs found below …
MCAD: a machine learning based cyberattacks detector in software-defined networking (SDN) for healthcare systems
LM Halman, MJF Alenazi - IEEE Access, 2023 - ieeexplore.ieee.org
The healthcare sector deals with sensitive and significant data that must be protected
against illegitimate users. Software-defined networks (SDNs) are widely used in healthcare …
against illegitimate users. Software-defined networks (SDNs) are widely used in healthcare …
Active learning configuration interaction for excited-state calculations of polycyclic aromatic hydrocarbons
We present the active learning configuration interaction (ALCI) method for
multiconfigurational calculations based on large active spaces. ALCI leverages the use of an …
multiconfigurational calculations based on large active spaces. ALCI leverages the use of an …
Knowledge graph summarization impacts on movie recommendations
JAP Sacenti, R Fileto, R Willrich - Journal of Intelligent Information …, 2022 - Springer
A classical problem that frequently compromises Recommender System (RS) accuracy is
the sparsity of the data about the interactions of the users with the items to be recommended …
the sparsity of the data about the interactions of the users with the items to be recommended …