Quantum machine learning revolution in healthcare: a systematic review of emerging perspectives and applications
U Ullah, B Garcia-Zapirain - IEEE Access, 2024 - ieeexplore.ieee.org
Quantum computing (QC) stands apart from traditional computing systems by employing
revolutionary techniques for processing information. It leverages the power of quantum bits …
revolutionary techniques for processing information. It leverages the power of quantum bits …
Advances in Quantum Medical Image Analysis Using Machine Learning: Current Status and Future Directions
N Matondo-Mvula, K Elleithy - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Quantum Machine Learning (QML) is an interdisciplinary field combining Quantum
Computing (QC) and Machine Learning (ML). It has gained increased attention due to …
Computing (QC) and Machine Learning (ML). It has gained increased attention due to …
1d quantum convolutional neural network for time series forecasting and classification
MA Rivera-Ruiz, SL Juárez-Osorio… - … Conference on Artificial …, 2023 - Springer
Abstract The 1D Convolutional Neural Network (1D CNN) is a kind of Artificial Neural
Network (ANN) that has been shown to obtain state-of-the-art performance levels on several …
Network (ANN) that has been shown to obtain state-of-the-art performance levels on several …
One‐dimensional atrous conv‐net based architecture for automatic diagnosis of epilepsy using electroencephalography signals and its brain–computer interface …
Precise monitoring and diagnosis of epilepsy by manual analysis of EEG signals are
challenging due to the low doctor‐to‐patient ratio, and shortage of medical resources. To …
challenging due to the low doctor‐to‐patient ratio, and shortage of medical resources. To …
Review of Machine Learning Advancements for Single-Cell Analysis
Massive amounts of data describing the genomic, transcriptomic, and epigenomic features
of many different cells are produced by single-cell omics approaches. Artificial intelli-gence …
of many different cells are produced by single-cell omics approaches. Artificial intelli-gence …
LSTM Network for Suicide Detection
A Gupta, USM Pirzada - 2023 5th Biennial International …, 2023 - ieeexplore.ieee.org
Depression is a typical and severe mental health condition that can have an adverse effect
on a person's emotions, thoughts, and behaviours. Suicide can result from depression. It …
on a person's emotions, thoughts, and behaviours. Suicide can result from depression. It …
Challenges of Artificial Intelligence in Medicine
Medical technologies bolstered by AI are quickly developing into viable options for actual
clinical use. Wearable, smartphones, and other mobile monitoring sensors are producing …
clinical use. Wearable, smartphones, and other mobile monitoring sensors are producing …
Identification of Epileptic Seizures using CNN on Noisy EEG Signals
K Shekokar, S Dour - 2022 6th International Conference on …, 2022 - ieeexplore.ieee.org
In modern medicine it is challenging task to detect neurological disorders. In generic way to
identify and understand abnormalities in electrical activities of the brain is difficult task. It is …
identify and understand abnormalities in electrical activities of the brain is difficult task. It is …