Design Guidelines on Trust Management for Underwater Wireless Sensor Networks
R Zhu, A Boukerche, L Long… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
In recent years, significant advancements in wireless underwater communication and
acoustic sensor technology have spurred the exploration and utilization of the ocean's vast …
acoustic sensor technology have spurred the exploration and utilization of the ocean's vast …
A deep learning approach for liver and tumor segmentation in CT images using ResUNet
According to the most recent estimates from global cancer statistics for 2020, liver cancer is
the ninth most common cancer in women. Segmenting the liver is difficult, and segmenting …
the ninth most common cancer in women. Segmenting the liver is difficult, and segmenting …
Water quality prediction using machine learning models based on grid search method
Water quality is very dominant for humans, animals, plants, industries, and the environment.
In the last decades, the quality of water has been impacted by contamination and pollution …
In the last decades, the quality of water has been impacted by contamination and pollution …
Intrusion detection based on bidirectional long short-term memory with attention mechanism
With the recent developments in the Internet of Things (IoT), the amount of data collected
has expanded tremendously, resulting in a higher demand for data storage, computational …
has expanded tremendously, resulting in a higher demand for data storage, computational …
Adaptive feature fusion for time series classification
T Wang, Z Liu, T Zhang, SF Hussain, M Waqas… - Knowledge-Based …, 2022 - Elsevier
Time series classification is one of the most critical and challenging problems in data mining,
which exists widely in various fields and has essential research significance. However, to …
which exists widely in various fields and has essential research significance. However, to …
Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations
P Esmaeilzadeh - Artificial Intelligence in Medicine, 2024 - Elsevier
Healthcare organizations have realized that Artificial intelligence (AI) can provide a
competitive edge through personalized patient experiences, improved patient outcomes …
competitive edge through personalized patient experiences, improved patient outcomes …
Healthcare monitoring using low-cost sensors to supplement and replace human sensation: does it have potential to increase independent living and prevent disease …
Z Liu, V Cascioli, PW McCarthy - Sensors, 2023 - mdpi.com
Continuous monitoring of health status has the potential to enhance the quality of life and life
expectancy of people suffering from chronic illness and of the elderly. However, such …
expectancy of people suffering from chronic illness and of the elderly. However, such …
Infrared ship target segmentation based on adversarial domain adaptation
T Zhang, Z Gao, Z Liu, SF Hussain, M Waqas… - Knowledge-Based …, 2023 - Elsevier
Infrared ship target segmentation is one of the key technologies for automatically detecting
ship targets in ocean monitoring. However, it is a challenging work to achieve accurate …
ship targets in ocean monitoring. However, it is a challenging work to achieve accurate …
Analysis of the application efficiency of TensorFlow and PyTorch in convolutional neural network
In this paper, we present an analysis of important aspects that arise during the development
of neural network applications. Our aim is to determine if the choice of library can impact the …
of neural network applications. Our aim is to determine if the choice of library can impact the …
Role of authentication factors in Fin-tech mobile transaction security
Fin-Tech is the merging of finance and technology, to be considered a key term for
technology-based financial operations and money transactions as far as Fin-Tech is …
technology-based financial operations and money transactions as far as Fin-Tech is …