Comparison of machine learning algorithms for classification of Big Data sets
This article analyzes and compares various Quantum machine learning algorithms on big
data. The main contribution of this article is to provide a new machine-learning approach …
data. The main contribution of this article is to provide a new machine-learning approach …
Hybrid quantum image classification and federated learning for hepatic steatosis diagnosis
L Lusnig, A Sagingalieva, M Surmach, T Protasevich… - Diagnostics, 2024 - mdpi.com
In the realm of liver transplantation, accurately determining hepatic steatosis levels is crucial.
Recognizing the essential need for improved diagnostic precision, particularly for optimizing …
Recognizing the essential need for improved diagnostic precision, particularly for optimizing …
Fast quantum convolutional neural networks for low-complexity object detection in autonomous driving applications
Object detection applications, especially in autonomous driving, have drawn attention due to
the advancements in deep learning. Additionally, with continuous improvements in classical …
the advancements in deep learning. Additionally, with continuous improvements in classical …
Enhancing TNM Staging in Breast Cancer: A Hybrid Approach with CNN, Edge Detection, and Self-Organizing Maps for Improved Accuracy
Breast cancer remains a leading cause of mortality among women globally, underscoring
the urgent need for improved diagnostic and staging techniques to enhance patient …
the urgent need for improved diagnostic and staging techniques to enhance patient …
Facial expression analysis using convolutional neural network for drug-naive and chronic schizophrenia
T Li, X Zhang, C Wang, T Tian, J Chi, M Zeng… - Journal of Psychiatric …, 2025 - Elsevier
Objective Facial images have been shown to convey mental conditions as clinical
symptoms. This study aimed to use facial images to detect patients with drug-naive …
symptoms. This study aimed to use facial images to detect patients with drug-naive …
Hybrid quantum-classical 3D object detection using multi-channel quantum convolutional neural network
Abstract 3D object detection has recently shown remarkable progress in the computer vision
field, enabling advanced understanding of the surrounding environment by identifying …
field, enabling advanced understanding of the surrounding environment by identifying …
Mobile Diagnosis of COVID-19 by Biogeography-based Optimization-guided CNN
X Han, Z Hu - Mobile Networks and Applications, 2024 - Springer
Abstract Since 2019, COVID-19 has profoundly impacted human health around the world.
COVID-19 is extremely contagious, so fast automated diagnosis is necessary. In the field of …
COVID-19 is extremely contagious, so fast automated diagnosis is necessary. In the field of …
Quantum-inspired activation functions in the convolutional neural network
Driven by the significant advantages offered by quantum computing, research in quantum
machine learning has increased in recent years. While quantum speed-up has been …
machine learning has increased in recent years. While quantum speed-up has been …
Optimal Prognostic Accuracy: Machine Learning Approaches for COVID-19 Prognosis with Biomarkers and Demographic Information
The global emergence of the unprecedented COVID-19 pandemic in late 2019 has led to
millions of infections and thousands of fatalities, profoundly affecting various aspects of life …
millions of infections and thousands of fatalities, profoundly affecting various aspects of life …
A Hybrid Approach to Improve the Video Anomaly Detection Performance of Pixel-and Frame-Based Techniques Using Machine Learning Algorithms
With the rapid development in technology in recent years, the use of cameras and the
production of video and image data have similarly increased. Therefore, there is a great …
production of video and image data have similarly increased. Therefore, there is a great …