A novel deep learning architecture and MINIROCKET feature extraction method for human activity recognition using ECG, PPG and inertial sensor dataset
The research in human activity recognition has gained prominence in various applications,
including healthcare, medical, and surveillance. The earlier popular techniques which relied …
including healthcare, medical, and surveillance. The earlier popular techniques which relied …
An Evolutionary Game Theory-Based Method to Mitigate Block Withholding Attack in Blockchain System
X Liu, Z Huang, Q Wang, B Wan - Electronics, 2023 - mdpi.com
Consensus algorithms are the essential components of blockchain systems. They guarantee
the blockchain's fault tolerance and security. The Proof of Work (PoW) consensus algorithm …
the blockchain's fault tolerance and security. The Proof of Work (PoW) consensus algorithm …
Stacked ensemble modeling for improved tuberculosis treatment outcome prediction in pediatric cases
Y Yilmaz - Concurrency and Computation: Practice and …, 2024 - Wiley Online Library
The promising results of ML (machine learning) methods in various disciplines have led to
the frequent use of these methods in health fields such as disease diagnosis, personalized …
the frequent use of these methods in health fields such as disease diagnosis, personalized …
Identification of schizophrenic individuals using activity records through visualization of recurrent networks
Schizophrenia is a chronic brain disorder that affects the mental well-being of a person. The
symptoms of active schizophrenia include hallucinations, psychosis, sedentary lifestyle, and …
symptoms of active schizophrenia include hallucinations, psychosis, sedentary lifestyle, and …
A Combined Computer Vision and Convolution Neural Network Approach to Classify Turbid Water Samples in Accordance with National Water Quality Standards
Z Nazemi Ashani, MF Zainuddin, IS Che Ilias… - Arabian Journal for …, 2024 - Springer
Computer vision (CV) technologies have been applied extensively in turbid water
assessment. However, the accuracies of CV to detect turbidity is limited by several factors …
assessment. However, the accuracies of CV to detect turbidity is limited by several factors …
[HTML][HTML] An efficient multi-stage ensemble deep learning framework for diagnosing infectious diseases
This study presents an efficient four-stage ensemble deep learning framework for
diagnosing infectious diseases. The model is evaluated on three standard datasets. In our …
diagnosing infectious diseases. The model is evaluated on three standard datasets. In our …
A novel soft computing based efficient feature selection approach for timely identification of COVID-19 infection using chest computed tomography images: a human …
The SARS-CoV-2 coronavirus strain's introduction in December 2019 resulted in the
development of the new coronavirus disease, COVID-19. Following its first appearance, the …
development of the new coronavirus disease, COVID-19. Following its first appearance, the …
A consensus-based approach to improve the accuracy of machine learning models
H Karamdel, M Ashtiani, MJ Mehditabar… - Evolutionary …, 2024 - Springer
Consensus algorithms simplify decision-making and conflict-management processes. On
the other hand, machine learning is one of the best methods for data management and …
the other hand, machine learning is one of the best methods for data management and …
A deep learning architecture for human activity recognition using PPG and inertial sensor dataset
Human activity recognition helps identify the activity of a person based on data provided by
sensors. The wireless wearable sensors provide robust techniques for data collection and …
sensors. The wireless wearable sensors provide robust techniques for data collection and …
Forecasting Survival Rates in Metastatic Colorectal Cancer Patients Undergoing Bevacizumab-Based Chemotherapy: A Machine Learning Approach
S Sánchez-Herrero, A Tondar, E Perez-Bernabeu… - …, 2024 - mdpi.com
Background: Antibiotics can play a pivotal role in the treatment of colorectal cancer (CRC) at
various stages of the disease, both directly and indirectly. Identifying novel patterns of …
various stages of the disease, both directly and indirectly. Identifying novel patterns of …