AIMC Topic: Mobile Applications

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Principles and Validations of an Artificial Intelligence-Based Recommender System Suggesting Acceptable Food Changes.

The Journal of nutrition Dec 27, 2022
BACKGROUND: Along with the popularity of smartphones, artificial intelligence-based personalized suggestions can be seen as promising ways to change eating habits toward more desirable diets.
Humans Diet Artificial Intelligence Mobile Applications Algorithms Food Adult
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Relative Validation of an Artificial Intelligence-Enhanced, Image-Assisted Mobile App for Dietary Assessment in Adults: Randomized Crossover Study.

Journal of medical Internet research Nov 21, 2022
BACKGROUND: Thorough dietary assessment is essential to obtain accurate food and nutrient intake data yet challenging because of the limitations of current methods. Image-based methods may decrease energy underreporting and increase the validity of s...
Dietary Fiber Cross-Over Studies Adult Male Artificial Intelligence Nutrition Assessment Humans Female Mobile Applications
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Human Monkeypox Classification from Skin Lesion Images with Deep Pre-trained Network using Mobile Application.

Journal of medical systems Oct 10, 2022
Recently, human monkeypox outbreaks have been reported in many countries. According to the reports and studies, quick determination and isolation of infected people are essential to reduce the spread rate. This study presents an Android mobile applic...
Deep Learning Mobile Applications Skin Diseases Humans Neural Networks, Computer Mpox, Monkeypox
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Deep Learning for Encrypted Traffic Classification and Unknown Data Detection.

Sensors (Basel, Switzerland) Oct 9, 2022
Despite the widespread use of encryption techniques to provide confidentiality over Internet communications, mobile device users are still susceptible to privacy and security risks. In this paper, a novel Deep Neural Network (DNN) based on a user act...
Confidentiality Privacy Deep Learning Mobile Applications Neural Networks, Computer
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Mobile Robot Application with Hierarchical Start Position DQN.

Computational intelligence and neuroscience Sep 5, 2022
Advances in deep learning significantly affect reinforcement learning, which results in the emergence of Deep RL (DRL). DRL does not need a data set and has the potential beyond the performance of human experts, resulting in significant developments ...
Robotics Reinforcement, Psychology Algorithms Mobile Applications Humans Artificial Intelligence
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An Effective Deep Learning Model for Health Monitoring and Detection of COVID-19 Infected Patients: An End-to-End Solution.

Computational intelligence and neuroscience Aug 11, 2022
The COVID-19 infection is the greatest danger to humankind right now because of the devastation it causes to the lives of its victims. It is important that infected people be tested in a timely manner in order to halt the spread of the disease. Physi...
Mobile Applications COVID-19 Humans Thorax Deep Learning Neural Networks, Computer
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The Diagnostic Efficacy of an App-based Diagnostic Health Care Application in the Emergency Room: eRadaR-Trial. A prospective, Double-blinded, Observational Study.

Annals of surgery Aug 4, 2022
OBJECTIVE: To evaluate the diagnostic accuracy of the app-based diagnostic tool Ada and the impact on patient outcome in the emergency room (ER).
Prospective Studies Mobile Applications Emergency Service, Hospital Artificial Intelligence Delivery of Health Care Humans
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We got nuts! use deep neural networks to classify images of common edible nuts.

Nutrition and health Jul 21, 2022
BACKGROUND: Nuts are nutrient-dense foods that contribute to healthier eating. Food image datasets enable artificial intelligence (AI) powered diet-tracking apps to help people monitor daily eating patterns.
Photography Humans Image Processing, Computer-Assisted Smartphone Nuts Arachis Mobile Applications Diet Neural Networks, Computer Deep Learning Artificial Intelligence
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Self-Adaptation Resource Allocation for Continuous Offloading Tasks in Pervasive Computing.

Computational and mathematical methods in medicine Jun 28, 2022
Advancement in technology has led to an increase in data. Consequently, techniques such as deep learning and artificial intelligence which are used in deciphering data are increasingly becoming popular. Further, advancement in technology does increas...
Cloud Computing Resource Allocation Algorithms Humans Mobile Applications Artificial Intelligence
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Deep Learning-Based Defect Prediction for Mobile Applications.

Sensors (Basel, Switzerland) Jun 23, 2022
Smartphones have enabled the widespread use of mobile applications. However, there are unrecognized defects of mobile applications that can affect businesses due to a negative user experience. To avoid this, the defects of applications should be dete...
Deep Learning Mobile Applications Neural Networks, Computer Area Under Curve Algorithms
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