AIMC Topic: Cell Phone

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Deep Learning Approaches for Cyberbullying Detection and Classification on Social Media.

Computational intelligence and neuroscience Jun 11, 2022
As a result of the ease with which the internet and cell phones can be accessed, online social networks (OSN) and social media have seen a significant increase in popularity in recent years. Security and privacy, on the other hand, are the key concer...
Deep Learning Social Media Humans Algorithms Cell Phone Cyberbullying
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Deep Learning Regression Approaches Applied to Estimate Tillering in Tropical Forages Using Mobile Phone Images.

Sensors (Basel, Switzerland) May 28, 2022
We assessed the performance of Convolutional Neural Network (CNN)-based approaches using mobile phone images to estimate regrowth density in tropical forages. We generated a dataset composed of 1124 labeled images with 2 mobile phones 7 days after th...
Neural Networks, Computer Deep Learning Cell Phone
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An Intelligent Recommendation Method for Tourist Attractions Based on Deep Learning.

Computational intelligence and neuroscience May 18, 2022
Tourists are the people who can be seen all over the world. Therefore, this has increased the demand for product supply in tourist locations. Technological development would be the only solution to solve those issues related to the demand and supply ...
Humans Algorithms Male Travel Deep Learning Cell Phone Bayes Theorem
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A tripodal wheeled mobile robot driven by a liquid metal motor.

Lab on a chip May 17, 2022
As a novel driving concept, the liquid metal motor (LMM) has been regarded as a promising actuator due to its unique traits, such as infinitely variable speed, lack of transmission chain, convenient maintenance, and silence. However, at present, driv...
Metals Robotics Cell Phone
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Machine learning and phone data can improve targeting of humanitarian aid.

Nature Mar 16, 2022
The COVID-19 pandemic has devastated many low- and middle-income countries, causing widespread food insecurity and a sharp decline in living standards. In response to this crisis, governments and humanitarian organizations worldwide have distributed ...
Relief Work Poverty Cell Phone Humans Machine Learning Pandemics COVID-19 Data Analysis
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Characterizing dermatology mobile applications that use artificial intelligence.

Dermatology online journal Sep 15, 2021
Artificial Intelligence Mobile Applications Dermatology Cell Phone Humans Skin Diseases
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Deep learning enabled brain shunt valve identification using mobile phones.

Computer methods and programs in biomedicine Aug 13, 2021
BACKGROUND AND OBJECTIVE: Accurate information concerning implanted medical devices prior to a Magnetic resonance imaging (MRI) examination is crucial to assure safety of the patient and to address MRI induced unintended changes in device settings. T...
Cell Phone Deep Learning Prostheses and Implants Brain Ecosystem Humans
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Artificial Intelligence Can Improve Patient Management at the Time of a Pandemic: The Role of Voice Technology.

Journal of medical Internet research May 25, 2021
Artificial intelligence-driven voice technology deployed on mobile phones and smart speakers has the potential to improve patient management and organizational workflow. Voice chatbots have been already implemented in health care-leveraging innovativ...
COVID-19 Delivery of Health Care Voice Chronic Disease Artificial Intelligence Referral and Consultation Cell Phone Triage Communication Pandemics Speech Recognition Software Telemedicine Humans Critical Care
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Diagnosis of skin diseases in the era of deep learning and mobile technology.

Computers in biology and medicine May 4, 2021
Efficient methods developed with deep learning in the last ten years have provided objectivity and high accuracy in the diagnosis of skin diseases. They also support accurate, cost-effective and timely treatment. In addition, they provide diagnoses w...
Cell Phone Technology Deep Learning Humans Skin Diseases
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Accurate detection of cerebellar smooth pursuit eye movement abnormalities via mobile phone video and machine learning.

Scientific reports Oct 29, 2020
Eye movements are disrupted in many neurodegenerative diseases and are frequent and early features in conditions affecting the cerebellum. Characterizing eye movements is important for diagnosis and may be useful for tracking disease progression and ...
Cerebellum Cell Phone Adult Child, Preschool Child Pursuit, Smooth Male Female Humans Young Adult Machine Learning Adolescent Eye Movements
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