Machine learning for healthcare wearable devices: the big picture
Using artificial intelligence and machine learning techniques in healthcare applications has
been actively researched over the last few years. It holds promising opportunities as it is …
been actively researched over the last few years. It holds promising opportunities as it is …
[HTML][HTML] Data compression techniques in IoT-enabled wireless body sensor networks: A systematic literature review and research trends for QoS improvement
I Nassra, JV Capella - Internet of Things, 2023 - Elsevier
The rapid proliferation of Wireless Sensor Networks (WSN) and other linked devices has
given rise to several notions that blend the virtual and real worlds. A vision in which billions …
given rise to several notions that blend the virtual and real worlds. A vision in which billions …
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 …
Data transmission reduction formalization for cloud offloading-based IoT systems
Computation offloading is the solution for IoT devices of limited resources and high-cost
processing requirements. However, the network related issues such as latency and …
processing requirements. However, the network related issues such as latency and …
Ensemble of rnn classifiers for activity detection using a smartphone and supporting nodes
Nowadays, sensor-equipped mobile devices allow us to detect basic daily activities
accurately. However, the accuracy of the existing activity recognition methods decreases …
accurately. However, the accuracy of the existing activity recognition methods decreases …
Data transmission reduction in wireless sensor network for spatial event detection
M Lewandowski, B Płaczek - Sensors, 2021 - mdpi.com
Wireless sensor networks have found many applications in detecting events such as security
threats, natural hazards, or technical malfunctions. An essential requirement for event …
threats, natural hazards, or technical malfunctions. An essential requirement for event …
A population-based iterated greedy algorithm for maximizing sensor network lifetime
Finding dominating sets in graphs is very important in the context of numerous real-world
applications, especially in the area of wireless sensor networks. This is because network …
applications, especially in the area of wireless sensor networks. This is because network …
A greedy heuristic for maximizing the lifetime of wireless sensor networks based on disjoint weighted dominating sets
Dominating sets are among the most well-studied concepts in graph theory, with many real-
world applications especially in the area of wireless sensor networks. One way to increase …
world applications especially in the area of wireless sensor networks. One way to increase …
A Multi-Agent Prediction Method for Data Sampling and Transmission Reduction in Internet of Things Sensor Networks
B Płaczek - Sensors, 2023 - mdpi.com
Sensor networks can provide valuable real-time data for various IoT applications. However,
the amount of sensed and transmitted data should be kept at a low level due to the …
the amount of sensed and transmitted data should be kept at a low level due to the …
Similarity-based data transmission reduction solution for edge-cloud collaborative AI
Edge-cloud collaborative processing for IoT data is a relatively new approach that tries to
solve processing and network issues in IoT systems. It consists of splitting the processing …
solve processing and network issues in IoT systems. It consists of splitting the processing …