Machine learning-based prediction of single clad characteristics and non-destructive characterization of multi-layer deposited FeCoNiCrMo HEA on EN24 via laser …

V Diwakar, A Sharma, MZK Yusufzai… - Materials Today …, 2024 - Elsevier
The prediction of the proper metallurgical bonding and bead morphology in a laser cladding
is very crucial to get a best profile of multi-clad layer. This work explores the laser cladding …

Performance evaluation of cognitive radio to limit interference on primary system

AME Khateeb, AMA Hassan, RAAAA Seoud - Signal, Image and Video …, 2024 - Springer
Cognitive radio (CR) is an effective method to optimize the use of spectrum resources.
Spectrum sensing plays significant role in finding free channels that can be used with CR …

Analysis of Hybrid Spectrum Sensing in Cognitive Radio Using Hybrid Approaches

H Ashok Shinde, S Garg - … Letters of the University of Zilina, 2024 - komunikacie.uniza.sk
Cognitive radio (CR) technology enables dynamic spectrum access to meet the growing
demand for wireless communication. This study investigates spectrum sensing methods …

Análisis de Sentimiento en la Industria: Evaluación de Opiniones mediante Inteligencia Artificial y Aprendizaje Automático

DYO Reinoso, DADP Moreira… - Polo del …, 2024 - polodelconocimiento.com
Las redes sociales se han convertido en una plataforma de interacción entre cibernautas
que permite a los investigadores recopilar datos para sus estudios. Los espacios …

Improvement Of Prediction Model Using K-Nearest Neighbors (Knn) And K-Means In Medical Data

W Lestari, S Sumarlinda, AB Rahmat - 2024 - ojs.udb.ac.id
Improving the performance of a prediction model is very important in its implementation. This
study aims to improve the performance of the K-Nearest Neighbors (KNN) classification …