AIMC Topic:
Computer Simulation

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Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides.

JAMA network open Nov 1, 2019
IMPORTANCE: Deep learning-based methods, such as the sliding window approach for cropped-image classification and heuristic aggregation for whole-slide inference, for analyzing histological patterns in high-resolution microscopy images have shown pro...
Computer Simulation Deep Learning Adenocarcinoma Humans Neural Networks, Computer Microscopy Datasets as Topic Barrett Esophagus Biopsy Esophageal Neoplasms
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An optimal interval type-2 fuzzy logic control based closed-loop drug administration to regulate the mean arterial blood pressure.

Computer methods and programs in biomedicine Oct 31, 2019
BACKGROUND AND OBJECTIVE: The main aim of this work is to present an optimal and robust controller design in order to improve the drug infusion to the automatic control of mean arterial blood pressure in conditions like critically-ill or post-operati...
Drug Therapy, Computer-Assisted Algorithms Nitroprusside Automation Humans Computer Simulation Blood Pressure Infusion Pumps Fuzzy Logic Antihypertensive Agents
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Proof of Concept of an Assistive Robotic Arm Control Using Artificial Stereovision and Eye-Tracking.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 30, 2019
Assistive robotic arms have become popular to help users with upper limb disabilities achieve autonomy in their daily tasks, such as drinking and grasping objects in general. Usually, these robotic arms are controlled with an adapted joystick. Joysti...
Rehabilitation Depth Perception Upper Extremity Humans User-Computer Interface Self-Help Devices Persons with Disabilities Calibration Artificial Limbs Costs and Cost Analysis Psychomotor Performance Robotics Adult Software Male Eye Movements Computer Simulation
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Alternative continuous- and discrete-time neural networks for image restoration.

Network (Bristol, England) Oct 30, 2019
This paper presents alternative continuous- and discrete-time neural networks for image restoration in real time by introducing new vectors and transforming its optimization conditions into a system of double projection equations. The proposed neural...
Neural Networks, Computer Image Processing, Computer-Assisted Computer Simulation
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An improved result on synchronization control for memristive neural networks with inertial terms and reaction-diffusion items.

ISA transactions Oct 29, 2019
This paper investigates the synchronization issue of the memristive neural networks (MNNs) with inertial terms and reaction-diffusion items. In order to smoothly derive the controller gains and obtain an excellent control effect, the desired controll...
Neural Networks, Computer Nonlinear Dynamics Algorithms Computer Simulation
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Quasi-Synchronization of Time Delay Markovian Jump Neural Networks With Impulsive-Driven Transmission and Fading Channels.

IEEE transactions on cybernetics Oct 28, 2019
The problem of quasi-synchronization (QS) for the Markovian jump master-slave neural networks with time-varying delay is studied in this article, where the mismatch parameters and unreliable communication channels are considered as well. A set of sto...
Time Factors Markov Chains Algorithms Computer Simulation Neural Networks, Computer
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The robustness-fidelity trade-off in Grow When Required neural networks performing continuous novelty detection.

Neural networks : the official journal of the International Neural Network Society Oct 28, 2019
Novelty detection allows robots to recognise unexpected data in their sensory field and can thus be utilised in applications such as reconnaissance, surveillance, self-monitoring, etc. We assess the suitability of Grow When Required Neural Networks (...
Computer Simulation Neurons Neural Networks, Computer Machine Learning
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ℓ-gain filter design of discrete-time positive neural networks with mixed delays.

Neural networks : the official journal of the International Neural Network Society Oct 25, 2019
This paper mainly focuses on the filter design with ℓ-gain disturbance attenuation performance for a class of discrete-time positive neural networks. Discrete and distributed time-varying delays occurring in neuron transmission are taken into account...
Water Gene Regulatory Networks Programming, Linear Models, Biological Neural Networks, Computer Computer Simulation
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ATBdiscrimination: An in Silico Tool for Identification of Active Tuberculosis Disease Based on Routine Blood Test and T-SPOT.TB Detection Results.

Journal of chemical information and modeling Oct 25, 2019
Tuberculosis remains one of the deadliest infectious diseases worldwide. Only 5-15% of people infected with develop active TB disease (ATB), while others remain latently infected (LTBI) during their lifetime, which has a completely different clinica...
Computer Simulation Humans Tuberculosis Machine Learning Software Latent Tuberculosis Mycobacterium tuberculosis Hematologic Tests
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Machine learning and bioinformatics models to identify gene expression patterns of ovarian cancer associated with disease progression and mortality.

Journal of biomedical informatics Oct 23, 2019
Ovarian cancer (OC) is a common cause of cancer death among women worldwide, so there is a pressing need to identify factors influencing OC mortality. Much OC patient clinical data is publicly accessible via the Broad Institute Cancer Genome Atlas (T...
Humans Machine Learning Computer Simulation Computational Biology Gene Expression Regulation, Neoplastic Ovarian Neoplasms Female Disease Progression Survival Analysis Datasets as Topic
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