Artificial Neural Networks for IoT-Enabled Smart Applications: Recent Trends

In the age of neural networks and the Internet of Things (IoT), the search for new neural network architectures capable of operating on devices with limited computing power and small memory size is becoming an urgent agenda [...]

[1]  Obaja Triputera Wijaya,et al.  Development of an Artificial Neural Network Algorithm Embedded in an On-Site Sensor for Water Level Forecasting , 2022, Sensors.

[2]  S. Limbu,et al.  Predicting Chemical Carcinogens Using a Hybrid Neural Network Deep Learning Method , 2022, Sensors.

[3]  Muazzam A. Khan,et al.  E-Cardiac Care: A Comprehensive Systematic Literature Review , 2022, Sensors.

[4]  S. Reginya,et al.  Gait Characteristics Analyzed with Smartphone IMU Sensors in Subjects with Parkinsonism under the Conditions of “Dry” Immersion , 2022, Sensors.

[5]  R. Kashef,et al.  Deep Learning for LiDAR Point Cloud Classification in Remote Sensing , 2022, Sensors.

[6]  Juan Carlos Cepeda-Pacheco,et al.  Deep Learning and 5G and Beyond for Child Drowning Prevention in Swimming Pools , 2022, Sensors.

[7]  Dmitry G. Korzun,et al.  Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application , 2022, Sensors.

[8]  Ana-Luiza Rusnac,et al.  CNN Architectures and Feature Extraction Methods for EEG Imaginary Speech Recognition , 2022, Sensors.

[9]  A. Velichko,et al.  Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values and LogNNet Neural Network , 2022, Sensors.

[10]  Rasha F. Kashef,et al.  E2DR: A Deep Learning Ensemble-Based Driver Distraction Detection with Recommendations Model , 2022, Sensors.

[11]  C. Patrikakis,et al.  Deep Learning Empowered Wearable-Based Behavior Recognition for Search and Rescue Dogs , 2022, Sensors.