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daghigh-ahmadi--e
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| # | Type | Title | Author | Publisher | Pub. Year | Subjects | Call Number |
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| 1 | مقاله | Gain variation of Raman amplifier in silicon micro-ring coupled-resonator optical waveguides | Daghigh Ahmadi, E. | 2008 |
Amplification.
Amplifiers (electronic) Computer networks. Integrated optoelectronics. Iterative methods. Lasers. Microelectromechanical devices. Nonmetals. Numerical methods. Optical materials. Optical waveguides. Pumps. Resonators. Silicon. Waveguides. (100) silicon. (140.3500) lasers. Applied (CO) Band pass. Bi directional non linear fiber (RAMAN) amplifier. channel side. Coupled-resonator optical waveguide (CROW) Field enhancement. Iterative matrices. Micro resonators. Micro rings. Micro-rings. Optimal values. Physical parameters. pump intensities. Raman amplifications. Raman amplifier (RA) Single channel (SC) single input. Single pumps. Solid states. Solid state lasers. |
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| 2 | مقاله | A new formulation for equivalent hydrodynamic modeling of the Jack-up legs | Daghigh, M. | 2002 |
Equivalent Pile.
Hydrodynamic Loading. Jack-up Structure. Morison Equation. |
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| 3 | مقاله | Application of β-unzipping method in offshore system reliability analysis under changing load pattern | Daghigh, M. | 2003 |
Changing Load Pattern.
Offshore Structure. Slamming Loads. System Reliability. |
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| 4 | مقاله | Reliability analysis of dynamic structures | Daghigh, M. | Sharif University of Technology, | 2003 |
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| 5 | مقاله | Interpretation of in-situ horizontal stress from self-boring pressuremeter tests in sands: A numerical study | Ahmadi, M. M. | 19th ICSMGE Secretariat, | 2017 |
Genetic algorithm.
In-situ horizontal stress. Numerical modelling. Pressuremeter. Sand parameters. Boring. Genetic algorithms. Geotechnical engineering. Numerical analysis. Numerical models. Soil mechanics. Soils. Alternative solutions. Cavity pressure. Finite difference model. Measured values. Pressuremeter tests. Pressuremeters. Self-boring pressuremeter test. Situ horizontal stress. Parameter estimation. |
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| 6 | مقاله | Interpretation of in situ horizontal stress from self-boring pressuremeter tests in sands via cavity pressure less than limit pressure: a numerical study | Ahmadi, M. M. | Springer Verlag, | 2017 |
Genetic algorithm.
In situ horizontal stress. Numerical modeling. Self-boring pressuremeter. Boring. Genetic algorithms. Numerical analysis. Numerical models. Software testing. Soils. Cavity expansion theory. Finite difference model. Pressuremeter tests. Satisfactory predictions. Self-boring pressuremeter test. Situ horizontal stress. Soil disturbances. Parameter estimation. Cavity. Estimation method. FLAC. Numerical model. Pressure effect. Pressuremeter. Soil analysis. Stress analysis. Stress field. Testing method. |
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| 7 | مقاله | Mooring system design and optimization for floating bridge of Urmia lake | Daghigh, M. | 2002 |
Analysis.
Design. Discrete Element Method. Floating Bridge. Mooting System. |
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| 8 | مقاله | Breakthrough curves for adsorption and elution of rhenium in a column ion exchange system | Mozammel, M. | 2007 |
Adsorption.
Ammonium compounds. Ion exchange. Molybdenum. Negative ions. Anionic resins. Breakthrough time. Molybdenum ions. Rhenium. |
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| 9 | مقاله | Towards an efficient method for spreading information in social network | Ahmadi, H. | 2009 |
Bottleneck problem.
Content distribution. Efficient method. Gossip algorithms. Low overhead. New mechanisms. Peer-to-peer information. Social Networks. Two phasis. Problem solving. |
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| 10 | مقاله | Measured impact of different back-off points and cooling methods on pulse-to-pulse stability and sidelobe level of a high-power solid-state amplifier | Ebrahimi, A. | Institution of Engineering and Technology, | 2020 |
Cooling.
Gallium nitride. High electron mobility transistors. III-V semiconductors. Meteorological radar. Power transistors. Stability. Cooling technique. Forced air cooling. GaN high electronmobility transistor (HEMT) Heterodyne receivers. Pulse compression technique. Sidelobe levels. Solid state amplifier. Solid state power amplifier. Power amplifiers. |
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| 11 | مقاله | Sequential topic modeling for efficient analysis of traffic scenes | Ahmadi, P. | Institute of Electrical and Electronics Engineers Inc, | 2019 |
Temporal segmentation.
Topic model. Anomaly detection. Security systems. Time and motion study. Efficient analysis. Hierarchical patterns. Sequential topic models. Sparse topical coding. (STC) Temporal segmentations. Topic modeling. Traffic phase. Traffic surveillance. Highway traffic control. |
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| 12 | مقاله | fMRI functional connectivity analysis via kernel graph in Alzheimer’s disease | Ahmadi, H. | Springer Science and Business Media Deutschland GmbH, | 2020 |
Alzheimer’s disease.
Brain networks. fMRI. Kernel trick. Pearson correlation. Correlation methods. Graphic methods. Magnetic resonance imaging. Nonlinear analysis. Signal systems. Time series analysis. Characteristic path lengths. Determination of parameters. Functional magnetic resonance imaging. Kernel correlation analysis. Non-linear relationships. Non-parametric permutation. Pearson correlation coefficients. Weighted undirected graph. Functional neuroimaging. |
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| 13 | مقاله | Multiclass classification of patients during different stages of Alzheimer's disease using fMRI time-series | Ahmadi, H. | IOP Publishing Ltd, | 2020 |
Alzheimer's disease.
Correlation vector. FMRI. Functional connectivity. Sparsification. Aged. Alzheimer disease. Amygdala. Article. Calcarine sulcus. Cerebellum. Cerebellum vermis. Dimensionality reduction. Feature extraction. Female. Functional neuroimaging. Genetic algorithm. Globus pallidus. Hold out cross validation. Human. Linear support vector machine. Lingual gyrus. Major clinical study. Male. Mild cognitive impairment. Mini Mental State Examination. Multiclass classification. Primary motor cortex. Putamen. Sparse autoencoder. Supplementary motor area. Thalamus. Time series analysis. |
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| 14 | مقاله | Identifying brain functional connectivity alterations during different stages of alzheimer’s disease | Ahmadi, H. | Taylor and Francis Ltd, | 2020 |
Alzheimer’s disease.
DMN network. fMRI. Functional connectivity. Graph theory. |
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| 15 | مقاله | Deep sparse graph functional connectivity analysis in AD patients using fMRI data | Ahmadi, H. | Elsevier Ireland Ltd, | 2021 |
Brain.
Deep learning. Deep neural networks. Electric resistance. Learning systems. Magnetic resonance imaging. Matrix algebra. Noninvasive medical procedures. Correlation analysis. Effective resistances. Functional connectivity. Functional magnetic resonance imaging. Learning neural networks. Non-parametric permutation. Noninvasive methods. Signal fluctuations. Functional neuroimaging. Algorithm. Alzheimer disease. Autoencoder. Brain region. Clinical Dementia Rating. Controlled study. Effective resistance. Human. Mini Mental State Examination. Multilayer perceptron. Nerve cell. Nerve cell network. Stacked autoencoder. Diagnostic imaging. Nuclear magnetic resonance imaging. Rest. Brain Mapping. Humans. Nerve Net. |
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| 16 | مقاله | fMRI functional connectivity analysis via kernel graph in Alzheimer’s disease | Ahmadi, H. | Springer Science and Business Media Deutschland GmbH, | 2021 |
Correlation methods.
Graphic methods. Magnetic resonance imaging. Nonlinear analysis. Signal systems. Time series analysis. Characteristic path lengths. Determination of parameters. Functional magnetic resonance imaging. Kernel correlation analysis. Non-linear relationships. Non-parametric permutation. Pearson correlation coefficients. Weighted undirected graph. Functional neuroimaging. |
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| 17 | مقاله | Deep sparse graph functional connectivity analysis in AD patients using fMRI data | Ahmadi, H. | Elsevier Ireland Ltd, | 2021 |
Brain.
Deep learning. Deep neural networks. Electric resistance. Learning systems. Magnetic resonance imaging. Matrix algebra. Noninvasive medical procedures. Correlation analysis. Effective resistances. Functional connectivity. Functional magnetic resonance imaging. Learning neural networks. Non-parametric permutation. Noninvasive methods. Signal fluctuations. Functional neuroimaging. Algorithm. Alzheimer disease. Autoencoder. Brain region. Clinical Dementia Rating. Controlled study. Effective resistance. Human. Mini Mental State Examination. Multilayer perceptron. Nerve cell. Nerve cell network. Stacked autoencoder. Diagnostic imaging. Nuclear magnetic resonance imaging. Brain Mapping. Humans. Magnetic Resonance Imaging. Nerve Net. Rest. |
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| 18 | مقاله | fMRI functional connectivity analysis via kernel graph in Alzheimer’s disease | Ahmadi, H. | Springer Science and Business Media Deutschland GmbH, | 2021 |
Correlation methods.
Graphic methods. Magnetic resonance imaging. Nonlinear analysis. Signal systems. Time series analysis. Characteristic path lengths. Determination of parameters. Functional magnetic resonance imaging. Kernel correlation analysis. Non-linear relationships. Non-parametric permutation. Pearson correlation coefficients. Weighted undirected graph. Functional neuroimaging. |
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| 19 | مقاله | Identifying brain functional connectivity alterations during different stages of Alzheimer’s disease | Ahmadi, H. | Taylor and Francis Ltd, | 2022 |
Alzheimer’s disease.
DMN network. fMRI. Functional connectivity. Graph theory. Aged. BOLD signal. Brain analysis. Cingulum (brain) Clinical article. Comparative study. Controlled study. Data base. Default mode network. Demographics. Disease exacerbation. Early mild cognitive impairment. Female. Functional magnetic resonance imaging. Human. Late mild cognitive impairment. Mild cognitive impairment. Neuroimaging. Precuneus. Alzheimer disease. Cognitive defect. Diagnostic imaging. Nerve cell network. Nuclear magnetic resonance imaging. Pathology. Procedures. Brain. Cognitive Dysfunction. Disease Progression. Humans. Magnetic Resonance Imaging. Nerve Net. |
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| 20 | مقاله | A comparative study of correlation methods in functional connectivity analysis using fmri data of alzheimer’s patients | Ahmadi, H. | Shiraz University of Medical Sciences, | 2023 |
Alzheimer Disease.
Brain. Brain Networks. Correlation. DMN Network. fMRI. Functional Connectivity. Graph Measures. Neuroimaging. |
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