AIMC Topic: Uncertainty

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An evaluation method of risk grades for prostate cancer using similarity measure of cubic hesitant fuzzy sets.

Journal of biomedical informatics Oct 16, 2018
Prostate cancer (PC) is more common cancer in older men. Then, the existing evaluation method of PC risk grades is based on the AJCC (American Joint Committee on Cancer) staging/scoring system. It utilizes the comprehensive risk data of the prostate-...
Risk Assessment Disease Progression Aged Male Prostate-Specific Antigen Medical Informatics Uncertainty Fuzzy Logic Prostatic Neoplasms Algorithms Reproducibility of Results Humans
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The Dark Side of the Moon: The Internet of Things, Industry 4.0, and The Quantified Planet.

Omics : a journal of integrative biology Sep 27, 2018
Industry 4.0 is an innovation framework launched initially at the 2011 Hanover Fair in Germany. It is premised on extreme digital connectivity to build smart factories and deliver extreme automation in science and society. Industry 4.0 has recently s...
Humans Artificial Intelligence Industry Uncertainty Germany Inventions Internet Automation
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Continuous patrolling in uncertain environment with the UAV swarm.

PloS one Aug 24, 2018
The research about unmanned aerial vehicle (UAV) swarm has developed rapidly in recent years, especially the UAV swarm with sensors which is becoming common means of achieving situational awareness. Due to inadequate researches of the UAV swarm with ...
Remote Sensing Technology Aircraft Environment Algorithms Uncertainty Robotics
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FESAEI: a fuzzy rule-based expert system for the assessment of environmental impacts : A fuzzy logic approach to impact assessment.

Environmental monitoring and assessment Aug 18, 2018
Currently, the method mostly used by practitioners of environmental impact assessment (EIA) is the "crisp numbers" method. Nevertheless, this arithmetic method is far away of giving correct values due to its rigidity and the lack of consideration of ...
Environment Uncertainty Fuzzy Logic Expert Systems Environmental Monitoring
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Uncertainty, imprecision, and many-valued logics in protein bioinformatics.

Mathematical biosciences Aug 14, 2018
Understanding proteins, their structures, functions, mutual interactions, activity in cellular reactions, interactions with drugs, and expression in body cells is a key to efficient medical diagnosis, drug production, and treatment of patients. Machi...
Big Data Computational Biology Uncertainty Fuzzy Logic Proteins
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Confidence in uncertainty: Error cost and commitment in early speech hypotheses.

PloS one Aug 1, 2018
Interactions with artificial agents often lack immediacy because agents respond slower than their users expect. Automatic speech recognisers introduce this delay by analysing a user's utterance only after it has been completed. Early, uncertain hypot...
Comprehension Robotics Humans Equipment Design Male Female Uncertainty Speech Interpersonal Relations Young Adult Adult
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Synchronization criteria for inertial memristor-based neural networks with linear coupling.

Neural networks : the official journal of the International Neural Network Society Jul 5, 2018
This paper is concerned with the synchronization problem for an array of memristive neural networks with inertial term, linear coupling and time-varying delay. Since parameters in the connection weight matrices are state-dependent, that is to say, th...
Linear Models Uncertainty Algorithms Models, Theoretical Neural Networks, Computer
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Distributed zero-sum differential game for multi-agent systems in strict-feedback form with input saturation and output constraint.

Neural networks : the official journal of the International Neural Network Society Jun 25, 2018
This paper investigates the distributed differential game tracking problem for nonlinear multi-agent systems with output constraint under a fixed directed graph. Each follower can be taken as strict-feedback structure with uncertain nonlinearities an...
Algorithms Computer Simulation Neural Networks, Computer Uncertainty Feedback Nonlinear Dynamics
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Deep learning for undersampled MRI reconstruction.

Physics in medicine and biology Jun 25, 2018
This paper presents a deep learning method for faster magnetic resonance imaging (MRI) by reducing k-space data with sub-Nyquist sampling strategies and provides a rationale for why the proposed approach works well. Uniform subsampling is used in the...
Uncertainty Algorithms Deep Learning Humans Magnetic Resonance Imaging Fourier Analysis Image Processing, Computer-Assisted
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Passivity and stability analysis of neural networks with time-varying delays via extended free-weighting matrices integral inequality.

Neural networks : the official journal of the International Neural Network Society Jun 21, 2018
This paper is concerned with the problem of passivity for uncertain neural networks with time-varying delays. First, the recently developed integral inequality called generalized free-matrix-based integral inequality is extended to estimate further t...
Socioeconomic Factors Uncertainty Computer Simulation Time Factors Neural Networks, Computer Algorithms
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