[HTML][HTML] Applying recurrent neural networks for anomaly detection in electrocardiogram sensor data
Monitoring heart electrical activity is an effective way of detecting existing and developing
conditions. This is usually performed as a non-invasive test using a network of up to 12 …
conditions. This is usually performed as a non-invasive test using a network of up to 12 …
Deep care: The COVID‐19 pandemic and the work of marginal feminist organizing in India
P Banerjee, C Khandelwal… - Gender, Work & …, 2022 - Wiley Online Library
In this paper, we adopt a Southern feminist epistemology to critically appraise the ways in
which media discourse on gendered organizing during the Indian COVID‐19‐induced …
which media discourse on gendered organizing during the Indian COVID‐19‐induced …
[HTML][HTML] Design of a novel intelligent computing framework for predictive solutions of malaria propagation model
The paper presents an innovative computational framework for predictive solutions for
simulating the spread of malaria. The structure incorporates sophisticated computing …
simulating the spread of malaria. The structure incorporates sophisticated computing …
Medical Diagnosis of Human Heart Diseases with and without Hyperparameter tuning through Machine Learning
KK Baseer, SBA Nas, S Dharani… - 2023 7th …, 2023 - ieeexplore.ieee.org
In medical field, cardiac disease prediction remains as a complex task. Heart disease is the
major cause of death around the world. This study has surveyed various research papers …
major cause of death around the world. This study has surveyed various research papers …
The upsurge of deep learning for disease prediction in healthcare
Aman, RS Chhillar - International Conference on Innovations in Data …, 2022 - Springer
The healthcare sector generates around one trillion Gigabytes of clinical data annually. With
limited resources, manually analyzing these massive amounts of data is tremendously time …
limited resources, manually analyzing these massive amounts of data is tremendously time …
Smart Diagnosis of Human Cardiovascular Disease Using Machine Learning and Parametric Optimization Techniques
MJ Pasha, KA Ahmed, SM Amair… - … Conference on Self …, 2023 - ieeexplore.ieee.org
Predicting diseases related to the heart is a difficult task in the medical world. To identify the
cause of cardiac problems requires extensive research. This research study has applied …
cause of cardiac problems requires extensive research. This research study has applied …
Blood Cell Detection and Counting via Deep Learning
A Narsale, S Nalwade, M Badgire… - … on Advancements in …, 2022 - ieeexplore.ieee.org
A vital component of clinical medical diagnosis is blood cell count. CNN has devised an
effective way of automatically counting blood cells using deep learning-based detection …
effective way of automatically counting blood cells using deep learning-based detection …