Mosquito vector-borne diseases such as malaria and dengue constitute some of the most
serious public health burdens in tropical and sub-tropical countries. Effective targeting of …

In on-device training of machine learning models on microcontrollers a neural network is
trained on the device. A specific approach for collaborative on-device training is federated …

The rapid expansion in miniaturization, usability, energy efficiency, and affordability of
Internet of Things (IoT) sensors, integrated with innovations in smart capability, is greatly …

Many weight quantization approaches were explored to save the communication bandwidth
between the clients and the server in federated learning using high-end computing …

Mosquitoes are the vector of diseases that kill more than one million people per year
worldwide. Surveillance systems are essential for understanding their complex ecology and …

Mosquitoes spread disases such as Dengue and Zika that affect a significant portion of the
world population. One approach to hamper the spread of the disases is to identify the …

Mosquitoes are vectors of pathogens that cause diseases like malaria, dengue fever, yellow
fever, chikungunya and Zika. For mosquito control it is crucial to understand their hearing …

The disease transmitting mosquito Aedes Aegypti is an increasing global threat. It breeds in
small artificial containers such as rainwater tanks and can be characterized by a short flight …

Despite the limited computing capacity of microcontrollers, there is a growing interest in
training neural networks on these devices for tiny machine learning applications. The …

The monitoring of environmental parameters is indispensable for controlling mosquito
populations. The abundance of mosquitoes mainly depends on climate conditions, weather …