AIMC Topic: Neural Networks, Computer

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Classification of Alzheimer's Disease Using Gaussian-Based Bayesian Parameter Optimization for Deep Convolutional LSTM Network.

Computational and mathematical methods in medicine Oct 4, 2021
Alzheimer's disease (AD) is one of the most important causes of mortality in elderly people, and it is often challenging to use traditional manual procedures when diagnosing a disease in the early stages. The successful implementation of machine lear...
Cognitive Dysfunction Bayes Theorem Imaging, Three-Dimensional Early Diagnosis Alzheimer Disease Magnetic Resonance Imaging Neuroimaging Multimodal Imaging Normal Distribution Humans Neural Networks, Computer Computational Biology Case-Control Studies Deep Learning Prognosis
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Segmentation of Overlapping Cervical Cells with Mask Region Convolutional Neural Network.

Computational and mathematical methods in medicine Oct 4, 2021
The task of segmenting cytoplasm in cytology images is one of the most challenging tasks in cervix cytological analysis due to the presence of fuzzy and highly overlapping cells. Deep learning-based diagnostic technology has proven to be effective in...
Image Interpretation, Computer-Assisted Cytoplasm Computational Biology Cervix Uteri Cytodiagnosis Deep Learning Vaginal Smears Databases, Factual Female Uterine Cervical Neoplasms Humans Neural Networks, Computer
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Competency of Neural Networks for the Numerical Treatment of Nonlinear Host-Vector-Predator Model.

Computational and mathematical methods in medicine Oct 4, 2021
The aim of this work is to introduce a stochastic solver based on the Levenberg-Marquardt backpropagation neural networks (LMBNNs) for the nonlinear host-vector-predator model. The nonlinear host-vector-predator model is dependent upon five classes, ...
Disease Vectors Vector Borne Diseases Computer Simulation Predatory Behavior Animals Neural Networks, Computer Nonlinear Dynamics Computational Biology Plant Diseases Models, Biological Stochastic Processes
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Deep convolutional neural network-based algorithm for muscle biopsy diagnosis.

Laboratory investigation; a journal of technical methods and pathology Oct 2, 2021
Histopathologic evaluation of muscle biopsy samples is essential for classifying and diagnosing muscle diseases. However, the numbers of experienced specialists and pathologists are limited. Although new technologies such as artificial intelligence a...
Biopsy Myositis Muscles Deep Learning Neural Networks, Computer Sensitivity and Specificity Diagnosis, Differential Algorithms Animals Muscular Diseases Reproducibility of Results Humans
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Yield prediction of "Thermal-dissolution based carbon enrichment" treatment on biomass wastes through coupled model of artificial neural network and AdaBoost.

Bioresource technology Oct 2, 2021
The "Thermal-dissolution based carbon enrichment" was proven as an efficient and homogenizing treatment method in converting biomass wastes into similar high-quality carbon materials. However, their yields varied significantly with respect to the dif...
Neural Networks, Computer Algorithms Biomass Carbon Solubility
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Deep-Hook: A trusted deep learning-based framework for unknown malware detection and classification in Linux cloud environments.

Neural networks : the official journal of the International Neural Network Society Oct 2, 2021
Since the beginning of the 21st century, the use of cloud computing has increased rapidly, and it currently plays a significant role among most organizations' information technology (IT) infrastructure. Virtualization technologies, particularly virtu...
Cloud Computing Software Deep Learning Neural Networks, Computer
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A language modeling-like approach to sketching.

Neural networks : the official journal of the International Neural Network Society Oct 2, 2021
Sketching is a universal communication tool that, despite its simplicity, is able to efficiently express a large variety of concepts and, in some limited contexts, it can be even more immediate and effective than natural language. In this paper we ex...
Neural Networks, Computer Language Probability Humans
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Modularity maximization as a flexible and generic framework for brain network exploratory analysis.

NeuroImage Oct 2, 2021
The modular structure of brain networks supports specialized information processing, complex dynamics, and cost-efficient spatial embedding. Inter-individual variation in modular structure has been linked to differences in performance, disease, and d...
Humans Neural Networks, Computer Algorithms Brain Mapping Brain Neurosciences Cognition
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Artificial neural network and decision tree models of post-stroke depression at 3 months after stroke in patients with BMI ≥ 24.

Journal of psychosomatic research Oct 2, 2021
OBJECTIVE: Previous studies have shown that excess weight (including obesity and overweight) can increase the risk of cardiovascular, cerebrovascular and other diseases, but there is no study on the incidence of post-stroke depression (PSD) and relat...
Body Mass Index Decision Trees Humans Neural Networks, Computer Depression Cohort Studies Prospective Studies
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Adaptive investigation of the optical properties of polymer fibers from mixing noisy phase shifting microinterferograms using deep learning algorithms.

Microscopy research and technique Oct 1, 2021
In this article, an adaptive denoising method is suggested to accurate investigate the optical and structural features of polymeric fibers from noisy phase shifting microinterferograms. The mixed class of noise that may produce in the phase-shifting ...
Deep Learning Polymers Signal-To-Noise Ratio Neural Networks, Computer Algorithms
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