Infectious Disease

STDs

Latest AI and machine learning research in stds for healthcare professionals.

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Testing the delivery of human organ transportation with drones in the real world.

Last-mile transportation of human donor lungs in a densely populated urban environment has been made...

Ferrobotic swarms enable accessible and adaptable automated viral testing.

Expanding our global testing capacity is critical to preventing and containing pandemics. Accordingl...

Building a Real-Time Testing Platform for Unmanned Ground Vehicles with UDP Bridge.

Perception and vehicle control remain major challenges in the autonomous driving domain. To find a p...

An evolutionary deep learning soft sensor model based on random forest feature selection technique for penicillin fermentation process.

Accurate and reliable measurement of key biological parameters during penicillin fermentation is of ...

Using Deep Learning to Predict Final HER2 Status in Invasive Breast Cancers That are Equivocal (2+) by Immunohistochemistry.

Invasive breast carcinomas are routinely tested for HER2 using immunohistochemistry (IHC), with refl...

Robotic Non-Destructive Testing.

Non-destructive testing (NDT) and evaluation (NDE) are commonly referred to as the vast group of ana...

DeepClassPathway: Molecular pathway aware classification using explainable deep learning.

OBJECTIVE: HPV-associated head and neck cancer is correlated with favorable prognosis; however, its ...

Deep-Learning to Predict BRCA Mutation and Survival from Digital H&E Slides of Epithelial Ovarian Cancer.

BRCA 1/2 genes mutation status can already determine the therapeutic algorithm of high grade serous ...

MalFuzz: Coverage-guided fuzzing on deep learning-based malware classification model.

With the continuous development of deep learning, more and more domains use deep learning technique ...

Research on non-destructive testing of hotpot oil quality by fluorescence hyperspectral technology combined with machine learning.

Eating repeatedly used hotpot oil will cause serious harm to human health. In order to realize rapid...

Flow Pattern Identification of Oil-Water Two-Phase Flow Based on SVM Using Ultrasonic Testing Method.

A flow pattern identification method combining ultrasonic transmission attenuation with an ultrasoni...

Prioritized and predictive intelligence of things enabled waste management model in smart and sustainable environment.

Collaborative modelling of the Internet of Things (IoT) with Artificial Intelligence (AI) has merged...

DCNN-FuzzyWOA: Artificial Intelligence Solution for Automatic Detection of COVID-19 Using X-Ray Images.

Artificial intelligence (AI) techniques have been considered effective technologies in diagnosing an...

Acoustic Resonance Testing of Small Data on Sintered Cogwheels.

Based on the fact that cogwheels are indispensable parts in manufacturing, we present the acoustic r...

Towards in vivo ground truth susceptibility for single-orientation deep learning QSM: A multi-orientation gradient-echo MRI dataset.

Recently, deep neural networks have shown great potential for solving dipole inversion of quantitati...

Impact of EEG Frequency Bands and Data Separation on the Performance of Person Verification Employing Neural Networks.

The paper is devoted to the study of EEG-based people verification. Analyzed solutions employed shal...

Comparison of Deep Learning Algorithms in Predicting Expert Assessments of Pain Scores during Surgical Operations Using Analgesia Nociception Index.

There are many surgical operations performed daily in operation rooms worldwide. Adequate anesthesia...

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