FMDNet: an efficient system for face mask detection based on lightweight model during COVID-19 pandemic in public areas
A new artificial intelligence-based approach is proposed by developing a deep learning
(DL) model for identifying the people who violate the face mask protocol in public places. To …
(DL) model for identifying the people who violate the face mask protocol in public places. To …
Efficacy of a vaginal suppository formulation prepared with Acacia arabica (Lam.) Willd. gum and Cinnamomum camphora (L.) J. Presl. in heavy menstrual bleeding …
Objective: This study aims to determine the efficacy of the Acacia arabica (Lam.) Willd. and
Cinnamomum camphora (L.) J. Presl. vaginal suppository in addressing heavy menstrual …
Cinnamomum camphora (L.) J. Presl. vaginal suppository in addressing heavy menstrual …
Metaverse: Virtual Meditation
The rise of the metaverse as a digital domain for diverse activities has birthed an innovative
application known as 'metaverse virtual meditation.'This concept seamlessly merges …
application known as 'metaverse virtual meditation.'This concept seamlessly merges …
Efficacy and classification of Sesamum indicum linn seeds with Rosa damascena mill oil in uncomplicated pelvic inflammatory disease using machine learning
Background and objectives: As microbes are developing resistance to antibiotics, natural,
botanical drugs or traditional herbal medicine are presently being studied with an eye of …
botanical drugs or traditional herbal medicine are presently being studied with an eye of …
Unravelling the complexities of depression with medical intelligence: exploring the interplay of genetics, hormones, and brain function
Depression is a multifactorial disease with unknown etiology affecting globally. It's the
second most significant reason for infirmity in 2020, affecting about 50 million people …
second most significant reason for infirmity in 2020, affecting about 50 million people …
Worldwide Research Trends and Hotspot on IOMT Based on Bibliometric Analysis
HM Zeeshan, MBB Heyat, MAB Hayat… - … on Wavelet Active …, 2023 - ieeexplore.ieee.org
COVID-19's control hinges on precise virus identification in healthcare. The Internet of
Medical Things (IoMT) denotes the online network of medical devices and apps facilitating …
Medical Things (IoMT) denotes the online network of medical devices and apps facilitating …
A lightweight window portion-based multiple imputation for extreme missing gaps in iot systems
Intelligent techniques, including artificial intelligence and deep learning, normally perform
on complete data without missing data. Multiple imputation is indispensable for addressing …
on complete data without missing data. Multiple imputation is indispensable for addressing …
Review, Limitations, and future prospects of neural network approaches for brain tumor classification
S Das, RS Goswami - Multimedia Tools and Applications, 2024 - Springer
Brain tumor classification (BTC) using magnetic resonance imaging (MRI) are very important
for the early detection of brain tumors (BTs). It makes a substantial contribution to improving …
for the early detection of brain tumors (BTs). It makes a substantial contribution to improving …
Unveiling the efficacy of unani medicine in female disorders through machine learning: current challenges and opportunities
In the past decade, the healthcare sector has seen a noteworthy increase in the application
of artificial intelligence (AI) technologies across various therapeutic domains. AI-powered …
of artificial intelligence (AI) technologies across various therapeutic domains. AI-powered …
IoT-based Integrated System Portable Prayer Mat and DailyWorship Monitoring System
LK Wardhani, N Anggraini… - MATRIK: Jurnal …, 2023 - journal.universitasbumigora.ac.id
Muslims have various difficulties in praying, such as difficulty memorizing the number of
rak'ah they have been doing and determining the direction of the Qibla. In this research, we …
rak'ah they have been doing and determining the direction of the Qibla. In this research, we …