Parkinson's disease management via wearable sensors: a systematic review

H Mughal, AR Javed, M Rizwan, AS Almadhor… - IEEE …, 2022 - ieeexplore.ieee.org
Wearable technology has played an essential role in the Mobile Health (mHealth) sector for
diagnosis, treatment, and rehabilitation of numerous diseases and disorders. One such …

[HTML][HTML] A survey on COVID-19 impact in the healthcare domain: worldwide market implementation, applications, security and privacy issues, challenges and future …

T Shakeel, S Habib, W Boulila, A Koubaa… - Complex & intelligent …, 2023 - Springer
Extensive research has been conducted on healthcare technology and service
advancements during the last decade. The Internet of Medical Things (IoMT) has …

[HTML][HTML] Mental health analysis in social media posts: A survey

M Garg - Archives of Computational Methods in Engineering, 2023 - Springer
The surge in internet use to express personal thoughts and beliefs makes it increasingly
feasible for the social NLP research community to find and validate associations between …

Reinforcement Learning with an Ensemble of Binary Action Deep Q-Networks.

AM Hafiz, M Hassaballah, A Alqahtani… - … Systems Science & …, 2023 - search.ebscohost.com
With the advent of Reinforcement Learning (RL) and its continuous progress, state-of-the-art
RL systems have come up for many challenging and real-world tasks. Given the scope of …

[HTML][HTML] A novel approach to classify telescopic sensors data using bidirectional-gated recurrent neural networks

A Raza, K Munir, M Almutairi, F Younas, MMS Fareed… - Applied Sciences, 2022 - mdpi.com
Asteroseismology studies the physical structure of stars by analyzing their solar-type
oscillations as seismic waves and frequency spectra. The physical processes in stars and …

Evaluation of deep learning-based depression detection using medical claims data

M Bertl, N Bignoumba, P Ross, SB Yahia… - Artificial Intelligence in …, 2024 - Elsevier
Human accuracy in diagnosing psychiatric disorders is still low. Even though digitizing
health care leads to more and more data, the successful adoption of AI-based digital …

[Retracted] Impact of Activation, Optimization, and Regularization Methods on the Facial Expression Model Using CNN

IA Kandhro, M Uddin, S Hussain… - Computational …, 2022 - Wiley Online Library
When it comes to conveying sentiments and thoughts, facial expressions are quite effective.
For human‐computer collaboration, data‐driven animation, and communication between …

An optimized feature selection method using ensemble classifiers in software defect prediction for healthcare systems

UG Mohammad, S Imtiaz, M Shakya… - Wireless …, 2022 - Wiley Online Library
The healthcare systems are extensively being used with increased focus on safety of
patients. Software engineering for healthcare applications is an emerging research area …

[HTML][HTML] Formula-driven supervised learning in computer vision: a literature survey

AM Hafiz, M Hassaballah, A Binbusayyis - Applied Sciences, 2023 - mdpi.com
Current computer vision research uses huge datasets with millions of images to pre-train
vision models. This results in escalation of time and capital, ethical issues, moral issues …

Depression detection from social media text analysis using natural language processing techniques and hybrid deep learning model

V Tejaswini, K Sathya Babu, B Sahoo - ACM Transactions on Asian and …, 2024 - dl.acm.org
Depression is a kind of emotion that negatively impacts people's daily lives. The number of
people suffering from long-term feelings is increasing every year across the globe …