Results 51 to 60 of about 2,281 (217)

Yield prediction models for some wheat varieties with satellite‐based drought indices and machine learning algorithms

open access: yesIrrigation and Drainage, Volume 74, Issue 1, Page 237-250, February 2025.
Abstract In recent years, frequent drought events in Konya, one of Türkiye's most important cereal production centres, have led to increased pressure on water and soil resources, resulting in yield losses, particularly in wheat production. Alternative yield prediction models, especially those that play a crucial role in agricultural import–export ...
Muhammed Cem Akcapınar, Belgin Çakmak
wiley   +1 more source

Estimation of neutral beam injector power transferred to KSTAR plasmas

open access: yesNuclear Engineering and Technology
KSTAR shows the long pulse capability based on superconducting magnet and NBI plays a crucial role in sustaining the plasma via plasma heating and current driving.
Jong-Gu Kwak, J.H. Jeong, S.C. Hong
doaj   +1 more source

Development of high-performance long-pulse discharge in KSTAR

open access: yesNuclear Fusion, 2023
High-performance long-pulse plasma operation is essential for producing economically viable fusion energy in tokamak devices. To achieve such discharges in KSTAR, firstly, the rapid increase in the temperature of plasma-facing components was mitigated ...
Hyun-Seok Kim   +29 more
doaj   +1 more source

Validating the Multi-Mode Model’s Ability to Reproduce Diverse Tokamak Scenarios

open access: yesPlasma, 2023
A large-scale validation exercise was conducted to assess the multi-mode model (MMM) anomalous transport model in the integrated modeling code TRANSP. The validation included 6 EAST discharges, 17 KSTAR discharges, 72 JET ITER-like wall D-D discharges ...
Tariq Rafiq   +6 more
doaj   +1 more source

Tire Pressure Monitoring System Using Feature Fusion and Family of Lazy Classifiers

open access: yesEngineering Reports, Volume 7, Issue 1, January 2025.
This study enhances tire pressure monitoring system (TPMS) understanding by analyzing nitrogen‐filled tire vibration data with machine learning. A feature future strategy was described in the study that achieved 97.92% classification accuracy using combined statistical, histogram, and autoregressive moving average (ARMA) features with local weighted ...
Arpit Pandey   +4 more
wiley   +1 more source

Analysis of neoclassical tearing mode stabilization experiment by electron cyclotron injection in KSTAR [PDF]

open access: yesEPJ Web of Conferences
We report the neoclassical tearing mode (NTM) stabilization experimental results by injection of the electron cyclotron (EC) beam in KSTAR, and its analysis with integrated modelling. In the KSTAR experiment, NTM was intentionally induced and the EC beam
Cha MinSoo   +9 more
doaj   +1 more source

Application of an Electronic Nose as a New Technology for Rapid Detection of Adulteration in Honey

open access: yesApplied Sciences, 2023
This work demonstrates the application of an electronic nose (e-nose) for discrimination between authentic and adulterated honey. The developed e-nose is based on electrodes covered with ionogel (ionic liquid + gelatin + Fe3O4 nanoparticle) films ...
Wellington Belarmino Gonçalves   +7 more
doaj   +1 more source

Optimized Ensemble Model to Predict the Compatibility of Automobiles With Hybrid Electric Vehicles

open access: yesJournal of Electrical and Computer Engineering, Volume 2025, Issue 1, 2025.
Hybrid electric vehicles (HEVs) represent a significant advancement in automotive technology, bridging the gap between conventional vehicles and pure electric vehicles by combining two distinct power sources. This integration enhances car efficiency and addresses concerns about high fuel consumption and emissions in traditional vehicles. The transition
Rohit Bajaj   +6 more
wiley   +1 more source

A systematic mapping to investigate the application of machine learning techniques in requirement engineering activities

open access: yesCAAI Transactions on Intelligence Technology, Volume 9, Issue 6, Page 1412-1434, December 2024.
Abstract Over the past few years, the application and usage of Machine Learning (ML) techniques have increased exponentially due to continuously increasing the size of data and computing capacity. Despite the popularity of ML techniques, only a few research studies have focused on the application of ML especially supervised learning techniques in ...
Shoaib Hassan   +5 more
wiley   +1 more source

One‐step hydrothermal synthesis of a green NiCo‐LDHs‐rGO composite for the treatment of lead ion in aqueous solutions

open access: yesThe Canadian Journal of Chemical Engineering, Volume 102, Issue 3, Page 1248-1261, March 2024.
Synthesis of NiCo LDH‐rGO composite by one step hydrothermal method. Abstract Herein, we have synthesized a microspherical nickel‐cobalt‐layered double hydroxides‐reduced graphene oxide composite (NiCo‐LDHs‐rGO) through a one‐step hydrothermal method and then used it as an adsorbent for the removal of Pb2+ from aqueous solutions.
Ata Makarem   +4 more
wiley   +1 more source

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