Wi-Fi Aided Home Energy Management System and AC Prediction through Temperature and Humidity Sensors
M Tahir, AS Mohammed, S Marwaha… - … on Cyber Resilience …, 2022 - ieeexplore.ieee.org
Energy management is an important issue to restrict the crisis of global warming. Power
utilities and consumers are looking at the energy management system to improve energy …
utilities and consumers are looking at the energy management system to improve energy …
Prediction of hydrogen generation from perhydro-dibenzyltoluene empowered with machine learning
Abstract The perhydro-dibenzyltoluene (H18-DBT) exhibits promising potential as a viable
option for hydrogen production purposes. There are several important features for hydrogen …
option for hydrogen production purposes. There are several important features for hydrogen …
Data Protection and Privacy Management for Healthcare Wearable Devices
A AlMazrouei, AA Alzoubi, HM Alzoubi - Technology Innovation for …, 2024 - Springer
The advent of mobile health has opened up fascinating new avenues for patient
engagement in their healthcare. Health data collected by wearable devices may be …
engagement in their healthcare. Health data collected by wearable devices may be …
FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image Classification
W Ding, T Zhou, J Huang, S Jiang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Histopathological image classification constitutes a pivotal task in computer-aided
diagnostics. The precise identification and categorization of histopathological images are of …
diagnostics. The precise identification and categorization of histopathological images are of …
A deep learning approach for nucleus segmentation and tumor classification from lung histopathological images
SM Jaisakthi, K Desingu, P Mirunalini, S Pavya… - … Modeling Analysis in …, 2023 - Springer
Lung cancer is the leading cause of death worldwide. Early diagnosis is crucial to improve
patients' chance of survival. Automated detection and analysis of cancer types can …
patients' chance of survival. Automated detection and analysis of cancer types can …
ML3CNet: Non-local means-assisted automatic framework for lung cancer subtypes classification using histopathological images
Background and objective: Lung cancer (LC) has a high fatality rate that continuously affects
human lives all over the world. Early detection of LC prolongs human life and helps to …
human lives all over the world. Early detection of LC prolongs human life and helps to …
Transformer-based semantic segmentation and CNN network for detection of histopathological lung cancer
The lungs are a very important organ in a human. Any abnormality in the lungs ultimately
affects the whole body. Pulmonary nodules-initiated lung cancer that is very small in size …
affects the whole body. Pulmonary nodules-initiated lung cancer that is very small in size …
Drones network security enhancement using smart based block-chain technology
Drones, also known as unmanned aerial vehicles (UAVs), can sometimes put just on trying
to fly Internet of Things (IoT) environment to perform a variety of tasks, including monitoring …
to fly Internet of Things (IoT) environment to perform a variety of tasks, including monitoring …
Tunicate swarm algorithm with deep convolutional neural network-driven colorectal cancer classification from histopathological imaging data
S Abdullah, M Ragab - Electronic Research Archive, 2023 - aimspress.com
Colorectal cancer (CRC) is one of the most popular cancers among both men and women,
with increasing incidence. The enhanced analytical load data from the pathology laboratory …
with increasing incidence. The enhanced analytical load data from the pathology laboratory …
Colon and lung cancer classification from multi-modal images using resilient and efficient neural network architectures
Automatic classification of colon and lung cancer images is crucial for early detection and
accurate diagnostics. However, there is room for improvement to enhance accuracy …
accurate diagnostics. However, there is room for improvement to enhance accuracy …