AIMC Topic: Research Design

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A conflict-based approach for real-time road safety analysis: Comparative evaluation with crash-based models.

Accident; analysis and prevention Aug 31, 2021
An innovative approach for real-time road safety analysis is presented in this work. Unlike traditional real-time crash prediction models (RTCPMs), in which crash data are used in the training phase, a real-time conflict prediction model (RTConfPM) i...
Accidents, Traffic Humans Support Vector Machine Research Design
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Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery.

IEEE transactions on neural networks and learning systems Aug 31, 2021
Symbolic regression is a powerful technique to discover analytic equations that describe data, which can lead to explainable models and the ability to predict unseen data. In contrast, neural networks have achieved amazing levels of accuracy on image...
Research Design Feedback Neural Networks, Computer Computer Systems Linear Models Humans Deep Learning Biomechanical Phenomena
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Predicting spatiotemporally-resolved mean air temperature over Sweden from satellite data using an ensemble model.

Environmental research Aug 28, 2021
Mapping of air temperature (Ta) at high spatiotemporal resolution is critical to reducing exposure assessment errors in epidemiological studies on the health effects of air temperature. In this study, we applied a three-stage ensemble model to estima...
Sweden Environmental Monitoring Temperature Research Design Machine Learning
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Traffic Accident Data Generation Based on Improved Generative Adversarial Networks.

Sensors (Basel, Switzerland) Aug 27, 2021
For urban traffic, traffic accidents are the most direct and serious risk to people's lives, and rapid recognition and warning of traffic accidents is an important remedy to reduce their harmful effects. However, research scholars are often confronte...
Humans Research Design Neural Networks, Computer Accidents, Traffic
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Automatic Polyp Segmentation in Colonoscopy Images Using a Modified Deep Convolutional Encoder-Decoder Architecture.

Sensors (Basel, Switzerland) Aug 20, 2021
Colorectal cancer has become the third most commonly diagnosed form of cancer, and has the second highest fatality rate of cancers worldwide. Currently, optical colonoscopy is the preferred tool of choice for the diagnosis of polyps and to avert colo...
Image Processing, Computer-Assisted Diagnosis, Computer-Assisted Research Design Neural Networks, Computer Colonoscopy Databases, Factual
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Creating efficiencies in the extraction of data from randomized trials: a prospective evaluation of a machine learning and text mining tool.

BMC medical research methodology Aug 16, 2021
BACKGROUND: Machine learning tools that semi-automate data extraction may create efficiencies in systematic review production. We evaluated a machine learning and text mining tool's ability to (a) automatically extract data elements from randomized t...
Humans Language Randomized Controlled Trials as Topic Research Design Machine Learning Data Mining
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Analysis of Raman Spectra by Using Deep Learning Methods in the Identification of Marine Pathogens.

Analytical chemistry Aug 2, 2021
The need for efficient and accurate identification of pathogens in seafood and the environment has become increasingly urgent, given the current global pandemic. Traditional methods are not only time consuming but also lead to sample wastage. Here, w...
Spectrum Analysis, Raman Neural Networks, Computer Serogroup Research Design Deep Learning
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Centered Multi-Task Generative Adversarial Network for Small Object Detection.

Sensors (Basel, Switzerland) Jul 31, 2021
Despite the breakthroughs in accuracy and efficiency of object detection using deep neural networks, the performance of small object detection is far from satisfactory. Gaze estimation has developed significantly due to the development of visual sens...
Image Processing, Computer-Assisted Neural Networks, Computer Humans Research Design Adaptation, Physiological
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Guidelines for Conducting Ethical Artificial Intelligence Research in Neurology: A Systematic Approach for Clinicians and Researchers.

Neurology Jul 27, 2021
Preemptive recognition of the ethical implications of study design and algorithm choices in artificial intelligence (AI) research is an important but challenging process. AI applications have begun to transition from a promising future to clinical re...
Research Design Delivery of Health Care Humans Artificial Intelligence Neurology Research Personnel
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Deep Semantic Segmentation Feature-Based Radiomics for the Classification Tasks in Medical Image Analysis.

IEEE journal of biomedical and health informatics Jul 27, 2021
Recently, an emerging trend in medical image classification is to combine radiomics framework with deep learning classification network in an integrated system. Although this combination is efficient in some tasks, the deep learning-based classificat...
Semantics Research Design Image Processing, Computer-Assisted Algorithms Humans Neural Networks, Computer
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