AIMC Topic: Cloud Computing

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MaskLayer: Enabling scalable deep learning solutions by training embedded feature sets.

Neural networks : the official journal of the International Neural Network Society Jan 20, 2021
Deep learning-based methods have shown to achieve excellent results in a variety of domains, however, some important assets are absent. Quality scalability is one of them. In this work, we introduce a novel and generic neural network layer, named Mas...
Data Compression Deep Learning Semantics Cloud Computing
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DeepCell Kiosk: scaling deep learning-enabled cellular image analysis with Kubernetes.

Nature methods Jan 4, 2021
Deep learning is transforming the analysis of biological images, but applying these models to large datasets remains challenging. Here we describe the DeepCell Kiosk, cloud-native software that dynamically scales deep learning workflows to accommodat...
Humans Diagnostic Imaging Software Algorithms Cell Nucleus Deep Learning Workflow Image Processing, Computer-Assisted Cloud Computing
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An IoT and Fog Computing-Based Monitoring System for Cardiovascular Patients with Automatic ECG Classification Using Deep Neural Networks.

Sensors (Basel, Switzerland) Dec 21, 2020
Telemedicine and all types of monitoring systems have proven to be a useful and low-cost tool with a high level of applicability in cardiology. The objective of this work is to present an IoT-based monitoring system for cardiovascular patients. The s...
Algorithms Cardiovascular Diseases Monitoring, Physiologic Humans Electrocardiography Internet of Things Neural Networks, Computer Atrial Fibrillation Cloud Computing
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Real-time plant health assessment via implementing cloud-based scalable transfer learning on AWS DeepLens.

PloS one Dec 17, 2020
The control of plant leaf diseases is crucial as it affects the quality and production of plant species with an effect on the economy of any country. Automated identification and classification of plant leaf diseases is, therefore, essential for the ...
Plant Leaves Machine Learning Cloud Computing Plant Diseases Algorithms Image Processing, Computer-Assisted
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IoMT-Based Automated Detection and Classification of Leukemia Using Deep Learning.

Journal of healthcare engineering Dec 3, 2020
For the last few years, computer-aided diagnosis (CAD) has been increasing rapidly. Numerous machine learning algorithms have been developed to identify different diseases, e.g., leukemia. Leukemia is a white blood cells- (WBC-) related illness affec...
Cloud Computing Leukemia, Lymphocytic, Chronic, B-Cell COVID-19 Deep Learning Leukemia, Myelogenous, Chronic, BCR-ABL Positive Leukemia, Myeloid, Acute Humans Algorithms Diagnostic Imaging Diagnosis, Computer-Assisted Leukemia Neural Networks, Computer Databases, Factual Telemedicine Internet of Things Machine Learning Pattern Recognition, Automated Precursor Cell Lymphoblastic Leukemia-Lymphoma
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Challenges in the Development, Deployment, and Regulation of Artificial Intelligence in Anatomic Pathology.

The American journal of pathology Nov 24, 2020
Significant advances in artificial intelligence (AI), deep learning, and other machine-learning approaches have been made in recent years, with applications found in almost every industry, including health care. AI is capable of completing a spectrum...
Humans Artificial Intelligence Pathologists Social Control, Formal Practice Patterns, Physicians' Cloud Computing Pathology
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DeepVariant-on-Spark: Small-Scale Genome Analysis Using a Cloud-Based Computing Framework.

Computational and mathematical methods in medicine Sep 1, 2020
Although sequencing a human genome has become affordable, identifying genetic variants from whole-genome sequence data is still a hurdle for researchers without adequate computing equipment or bioinformatics support. GATK is a gold standard method fo...
High-Throughput Nucleotide Sequencing Cost-Benefit Analysis Genome, Human Humans Cloud Computing Computational Biology Whole Genome Sequencing Genetic Variation Neural Networks, Computer Software Deep Learning
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A review of Cloud computing technologies for comprehensive microRNA analyses.

Computational biology and chemistry Aug 29, 2020
Cloud computing revolutionized many fields that require ample computational power. Cloud platforms may also provide huge support for microRNA analysis mainly through disclosing scalable resources of different types. In Clouds, these resources are ava...
Humans Cloud Computing Machine Learning Big Data MicroRNAs
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Artificial intelligence mobile health platform for early detection of COVID-19 in quarantine subjects using a wearable biosensor: protocol for a randomised controlled trial.

BMJ open Jul 22, 2020
INTRODUCTION: There is an outbreak of COVID-19 worldwide. As there is no effective therapy or vaccine yet, rigorous implementation of traditional public health measures such as isolation and quarantine remains the most effective tool to control the o...
Pneumonia, Viral Blood Gas Monitoring, Transcutaneous Respiratory Rate Clinical Laboratory Techniques Betacoronavirus COVID-19 Testing Heart Rate Early Diagnosis Hong Kong Skin Temperature Humans Cloud Computing Artificial Intelligence Quarantine SARS-CoV-2 Coronavirus Infections Wearable Electronic Devices Telemedicine Smartphone Pandemics Mobile Applications COVID-19 Randomized Controlled Trials as Topic
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Method for extraction of airborne LiDAR point cloud buildings based on segmentation.

PloS one May 29, 2020
The LiDAR technology is a means of urban 3D modeling in recent years, and the extraction of buildings is a key step in urban 3D modeling. In view of the complexity of most airborne LiDAR building point cloud extraction algorithms that need to combine...
Humans Machine Learning Cloud Computing Remote Sensing Technology Construction Industry Lasers Software Algorithms Computer Simulation
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