An Efficient ISAR Image Enrichment and Feature Abstraction of Moving Targets using Time-Frequency Transforms
TA Khan, S Zulfiqar, M Irfan - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The analysis of a time series is a key challenge in making use of the radar data. The
challenge at hand is figuring out how to get the most value out of the data by gleaning the …
challenge at hand is figuring out how to get the most value out of the data by gleaning the …
Data Segmentation with Improved K-Means Clustering Algorithm
E Hasan, MA Rahman, MDS Talukder… - … on Computer and …, 2023 - ieeexplore.ieee.org
Unsupervised learning is also known as learning by observation in machine learning which
groups the data instances based on their similarities. k-Means clustering technique is one of …
groups the data instances based on their similarities. k-Means clustering technique is one of …
Combination of Pre-Trained CNN Model and Machine Learning Algorithm on Pekalongan Batik Motif Classification
M Wahyuni, R Rosnelly… - Proceeding of …, 2023 - prosiding-icostec.respati.ac.id
Pekalongan is a region in Indonesia well-known for its batik production. The Pekalongan
batik is rich in varieties of motifs, such as the Jlamprang, Liong, Terang Bulan, and Tujuh …
batik is rich in varieties of motifs, such as the Jlamprang, Liong, Terang Bulan, and Tujuh …
K-means-dist: A Novel Approach for Enhanced Cybersecurity Clustering Using Combined Distance Metrics
R Khaoula, M Mohamed - 2023 10th International Conference …, 2023 - ieeexplore.ieee.org
In the realm of data analysis and cybersecurity, the development of effective clustering
techniques plays a pivotal role in understanding complex datasets and identifying …
techniques plays a pivotal role in understanding complex datasets and identifying …
User Feedback based Trust Analysis in Cloud Computing using Machine Learning Approach
Trust on cloud services is a serious concern regardless of the increasing deployment and
utilization of mission critical applications, which continues to obstruct users from complete …
utilization of mission critical applications, which continues to obstruct users from complete …
Detection of Facial Forgery in Digital Images
Detection of facial forgery in images and videos is a complex and challenging task. For the
last years, different methods have been employed to detect facial forgeries. However, facial …
last years, different methods have been employed to detect facial forgeries. However, facial …
Development of Data Mining Expert System Using Naïve Bayes
M Salahat, NA Al-Dmour, RA Said, HM Alzoubi… - The Effect of Information …, 2023 - Springer
The consumer spectrum consists of a wide range, including the affluent, middle-income, and
low-income. This consumer shows different behaviors or motivations towards choosing …
low-income. This consumer shows different behaviors or motivations towards choosing …
Post-Covid-19 Pandemic IT Project Management Skills and Challenges
Since December 2019, the COVID-19 pandemic has harmed social, financial, and work life.
The novel coronavirus has caused problems in all business sectors, including Information …
The novel coronavirus has caused problems in all business sectors, including Information …
An Improved Convolutional Neural Network for the Image Enhancement
M Fiaz, MA Al-Khasawneh… - … Conference on Business …, 2023 - ieeexplore.ieee.org
Four-dimensional cone-beam computed tomography, or 4D CBCT, is a technique used in
image-guided radiation treatment to generate a series of phase-resolved reconstructions of …
image-guided radiation treatment to generate a series of phase-resolved reconstructions of …