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Found 4 papers, 2 papers with code
A Novel Poisoned Water Detection Method Using Smartphone Embedded Wi-Fi Technology and Machine Learning Algorithms
The Wi-Fi access points (WAPs) signal is acquired via equivalent smartphone-embedded Wi-Fi chipsets, and then Channel-State-Information CSI measures are extracted and converted into feature vectors to be used as input for machine learning classification algorithms.
A Smartphone enabled Approach to Manage COVID-19 Lockdown and Economic Crisis
In this paper, we developed a smartphone-based approach to automatically and widely trace the contacts for confirmed COVID-19 cases.
Social and Information Networks Computers and Society Human-Computer Interaction
Diagnosing COVID-19 Pneumonia from X-Ray and CT Images using Deep Learning and Transfer Learning Algorithms
In this vein, a simple convolution neural network (CNN) and modified pre-trained AlexNet model are applied on the prepared X-rays and CT scan images dataset.
A Novel AI-enabled Framework to Diagnose Coronavirus COVID 19 using Smartphone Embedded Sensors: Design Study
Therefore, in this paper, a new framework is proposed to detect COVID-19 using built-in smartphone sensors.
