An extensive review of hyperspectral image classification and prediction: techniques and challenges

G Tejasree, L Agilandeeswari - Multimedia Tools and Applications, 2024 - Springer
Abstract Hyperspectral Image Processing (HSIP) is an essential technique in remote
sensing. Currently, extensive research is carried out in hyperspectral image processing …

Intelligent Caching Based on Popular Content in Vehicular Networks: A Deep Transfer Learning Approach

MWA Ashraf, A Raza, AR Singh… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Information-centric networking (ICN) allows data to be cached at each node in the network. It
is vital in vehicular networks (VNs) to improve caching performance and reduce content …

[HTML][HTML] A Real-Time System Status Evaluation Method for Passive UHF RFID Robots in Dynamic Scenarios

H Wang, W Du, B Qin, R Pan, S Pang - Electronics, 2024 - mdpi.com
In dynamic scenarios, the status of a Radio Frequency Identification (RFID) system fluctuates
with environmental changes. The key to improving system efficiency lies in the real-time …

[HTML][HTML] Hierarchical power reserve control of string-inverter-based photovoltaic power plant for primary frequency control

W Chen, Z Zhao, W Yang, Y Jia, Q Chen, Y Shi - Energy Reports, 2024 - Elsevier
Retaining a certain power reserve is the precondition for a photovoltaic power plant (PVPP)
to provide primary frequency control. Usually, a string-inverter-based PVPP may consist of …

Pengelompokan Data Pendistribusian Listrik Menggunakan Algoritma Mini Batch K-Means Clustering: Grouping Electricity Distribution Data Using The Mini Batch K …

S Mulyadi, F Insani, S Agustian… - … : Indonesian Journal of …, 2024 - journal.irpi.or.id
Manajemen distribusi listrik merupakan aspek penting dalam infrastruktur yang memerlukan
pemahaman mendalam tentang pola distribusi di berbagai wilayah untuk memastikan …

An Airline Passenger Satisfaction Prediction by Genetic-Algorithm-Based Hybrid AutoEncoder and Machine Learning Models

YH Lee, VJ Olanrewaju, XY Chew… - … and Applications in …, 2024 - researchportal.hw.ac.uk
The evolving landscape of the Business-to-Client (B2C) model across the globe is
reshaping service delivery paradigms and transforming consumer perceptions of service …

Analyzing the Parallel Computing Performance of Unsupervised Machine Learning

VV Baligodugula, F Amsaad… - 2024 IEEE 1st Karachi …, 2024 - ieeexplore.ieee.org
The popularity of unsupervised machine learning techniques is increasing drastically as
they can generate clusters of data samples. It facilitates making critical decisions and …

Comparison of Elbow, Silhouette and DBI Methods for Clustering Nutritional Status of Toddlers Using K-Means Clustering

AT Muharram, RE Nalawati, B Warsuta… - … on Cyber and IT …, 2024 - ieeexplore.ieee.org
Nutritional status is a measure of a person's health condition as seen from the food
consumed. The implementation of nutritional monitoring or nutritional surveillance at the …

Effective Drug Repositioning with a Novel Negative Sample Selection Algorithm

S Ye, W Zhao, X Xu, X Shen, X Jiang… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Drug repositioning is the process of identifying potential associations between approved
drugs and diseases (DDAs) to unveil novel therapeutic applications. Unlike traditional drug …

基于集成学习的注塑制品质量软测量方法研究.

戴南, 余齐严, 董盈升 - … Science & Technology/Suliao Ke-Ji, 2022 - search.ebscohost.com
为解决传统注塑间歇过程的质量反馈存在严重滞后性的问题, 利用注塑生产过程的传感器数据和
成型机操作数据进行工况识别, 对制品质量进行基于集成学习的软测量. 采用Mini Batch K …