Integration of deep learning into the iot: A survey of techniques and challenges for real-world applications
The internet of things (IoT) has emerged as a pivotal technological paradigm facilitating
interconnected and intelligent devices across multifarious domains. The proliferation of IoT …
interconnected and intelligent devices across multifarious domains. The proliferation of IoT …
Real-Time Remote Patient Monitoring: A Review of Biosensors Integrated with Multi-Hop IoT Systems via Cloud Connectivity
R Uddin, I Koo - Applied Sciences, 2024 - mdpi.com
This comprehensive review paper explores the intricate integration of biosensors with multi-
hop Internet of Things (IoT) systems, representing a paradigm shift in healthcare through …
hop Internet of Things (IoT) systems, representing a paradigm shift in healthcare through …
Spectrum Evaluation in CR-Based Smart Healthcare Systems Using Optimizable Tree Machine Learning Approach
The rapid technological advancements in the current modern world bring the attention of
researchers to fast and real-time healthcare and monitoring systems. Smart healthcare is …
researchers to fast and real-time healthcare and monitoring systems. Smart healthcare is …
[HTML][HTML] Machine learning enabled IoT system for soil nutrients monitoring and crop recommendation
Agriculture plays a vital role in feeding the growing global population. But optimizing crop
production and resource management remains a significant challenge for farmers. This …
production and resource management remains a significant challenge for farmers. This …
Early detection of cardiorespiratory complications and training monitoring using wearable ECG sensors and CNN
HY Lu, XM Feng, J Zhang - BMC Medical Informatics and Decision Making, 2024 - Springer
This research study demonstrates an efficient scheme for early detection of cardiorespiratory
complications in pandemics by Utilizing Wearable Electrocardiogram (ECG) sensors for …
complications in pandemics by Utilizing Wearable Electrocardiogram (ECG) sensors for …
An IoT healthcare system with deep learning functionality for patient monitoring
AH Najim, KAM Al‐sharhanee… - International Journal …, 2024 - Wiley Online Library
Currently, healthcare systems operate under conventional management practices and entail
storing and processing substantial medical data. Integrating the Internet of Things (IoT) and …
storing and processing substantial medical data. Integrating the Internet of Things (IoT) and …
Monitoring System for Operating Variables in Incubators in the Neonatology Service of a Highly Complex Hospital through the Internet of Things (IoT)
PA Aya-Parra, AJ Rodriguez-Orjuela… - Sensors, 2023 - mdpi.com
Background: Around 15 million premature babies are born annually, requiring specialized
care. Incubators are vital for maintaining their body temperature, which is crucial for their …
care. Incubators are vital for maintaining their body temperature, which is crucial for their …
[LIBRO][B] Pembelajaran Berdiferensiasi dalam Kurikulum Merdeka
Buku ini memberikan panduan praktis tentang bagaimana guru dapat
mengimplementasikan strategi pembelajaran berdiferensiasi di kelas sesuai dengan …
mengimplementasikan strategi pembelajaran berdiferensiasi di kelas sesuai dengan …
Fpga implementation of image registration using accelerated cnn
SG Aydin, HŞ Bilge - Sensors, 2023 - mdpi.com
Background: Accurate and fast image registration (IR) is critical during surgical interventions
where the ultrasound (US) modality is used for image-guided intervention. Convolutional …
where the ultrasound (US) modality is used for image-guided intervention. Convolutional …
Computer vision algorithms in healthcare: Recent advancements and future challenges
Computer vision has emerged as a promising technology with numerous applications in
healthcare. This systematic review provides an overview of advancements and challenges …
healthcare. This systematic review provides an overview of advancements and challenges …