A review of machine learning in processing remote sensing data for mineral exploration
The decline of the number of newly discovered mineral deposits and increase in demand for
different minerals in recent years has led exploration geologists to look for more efficient and …
different minerals in recent years has led exploration geologists to look for more efficient and …
[HTML][HTML] Deep learning for the industrial internet of things (iiot): A comprehensive survey of techniques, implementation frameworks, potential applications, and future …
The Industrial Internet of Things (IIoT) refers to the use of smart sensors, actuators, fast
communication protocols, and efficient cybersecurity mechanisms to improve industrial …
communication protocols, and efficient cybersecurity mechanisms to improve industrial …
Enhancing climate resilience in businesses: The role of artificial intelligence
The abrupt rise in extreme weather events (floods, heat waves, droughts, etc.) due to
changing climate in the last decades has increased the level of threats to various sectors …
changing climate in the last decades has increased the level of threats to various sectors …
[HTML][HTML] A survey on COVID-19 impact in the healthcare domain: worldwide market implementation, applications, security and privacy issues, challenges and future …
Extensive research has been conducted on healthcare technology and service
advancements during the last decade. The Internet of Medical Things (IoMT) has …
advancements during the last decade. The Internet of Medical Things (IoMT) has …
[HTML][HTML] An efficient approach based on privacy-preserving deep learning for satellite image classification
Satellite images have drawn increasing interest from a wide variety of users, including
business and government, ever since their increased usage in important fields ranging from …
business and government, ever since their increased usage in important fields ranging from …
[HTML][HTML] Semantic segmentation and edge detection—Approach to road detection in very high resolution satellite images
Road detection technology plays an essential role in a variety of applications, such as urban
planning, map updating, traffic monitoring and automatic vehicle navigation. Recently, there …
planning, map updating, traffic monitoring and automatic vehicle navigation. Recently, there …
[HTML][HTML] A federated learning framework for cyberattack detection in vehicular sensor networks
Abstract Vehicular Sensor Networks (VSN) introduced a new paradigm for modern
transportation systems by improving traffic management and comfort. However, the …
transportation systems by improving traffic management and comfort. However, the …
[HTML][HTML] Bike-sharing demand prediction at community level under COVID-19 using deep learning
A Mehdizadeh Dastjerdi, C Morency - Sensors, 2022 - mdpi.com
An important question in planning and designing bike-sharing services is to support the
user's travel demand by allocating bikes at the stations in an efficient and reliable manner …
user's travel demand by allocating bikes at the stations in an efficient and reliable manner …
Fusion of convolutional neural networks based on Dempster–Shafer theory for automatic pneumonia detection from chest X‐ray images
Deep learning‐based applications for disease detection are essential tools for experts to
effectively diagnose diseases at different stages. In this article, a new approach based on an …
effectively diagnose diseases at different stages. In this article, a new approach based on an …
[HTML][HTML] LSTM recurrent neural network for hand gesture recognition using EMG signals
A Toro-Ossaba, J Jaramillo-Tigreros, JC Tejada… - Applied Sciences, 2022 - mdpi.com
Currently, research on gesture recognition systems has been on the rise due to the
capabilities these systems provide to the field of human–machine interaction, however …
capabilities these systems provide to the field of human–machine interaction, however …