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Imani, Farhad
99  Ergebnisse:
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1

Hierarchical representation and interpretable learning for ..:

Hoang, Danny ; Errahmouni, Hamza ; Chen, Hanning...
CIRP Journal of Manufacturing Science and Technology.  50 (2024)  - p. 198-212 , 2024
Link: https://doi.org/10.1016/..
 
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2

Hierarchical, Distributed and Brain-Inspired Learning for I..:

, In: 2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS),
Imani, Mohsen ; Kim, Yeseong ; Khaleghi, Behnam... - p. 511-522 , 2023
Link: https://doi.org/10.1109/..
 
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3

Brain-inspired computing for in-process melt pool character..:

Chen, Ruimin ; Sodhi, Manbir ; Imani, Mohsen...
CIRP Journal of Manufacturing Science and Technology.  41 (2023)  - p. 380-390 , 2023
Link: https://doi.org/10.1016/..
 
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4

GrapHD: Graph-Based Hyperdimensional Memorization for Brain..:

Poduval, Prathyush ; Alimohamadi, Haleh ; Zakeri, Ali...
Frontiers in Neuroscience.  16 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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5

Memory-inspired spiking hyperdimensional network for robust..:

Zou, Zhuowen ; Alimohamadi, Haleh ; Zakeri, Ali...
Scientific Reports.  12 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
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6

Neural computation for robust and holographic face detectio:

, In: Proceedings of the 59th ACM/IEEE Design Automation Conference,
Imani, Mohsen ; Zakeri, Ali ; Chen, Hanning... - p. 31-36 , 2022
Link: https://dl.acm.org/doi/1..
 
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7

Heterogeneous quality characterization and modeling of thin..:

Chen, Ruimin ; Reutzel, Edward W. ; Khanzadeh, Mojtaba.
Additive Manufacturing Letters.  3 (2022)  - p. 100042 , 2022
Link: https://doi.org/10.1016/..
 
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8

Joint active search and neuromorphic computing for efficien..:

Chen, Ruimin ; Imani, Mohsen ; Imani, Farhad
Journal of Manufacturing Processes.  71 (2021)  - p. 743-752 , 2021
Link: https://doi.org/10.1016/..
 
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9

Scalable Edge-Based Hyperdimensional Learning System with B..:

, In: SC21: International Conference for High Performance Computing, Networking, Storage and Analysis,
Zou, Zhuowen ; Kim, Yeseong ; Imani, Farhad... - p. 1-15 , 2021
Link: https://doi.org/10.1145/..
 
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10

Using reinforcement learning for tuning genetic algorithms:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Quevedo, Jose ; Abdelatti, Marwan ; Imani, Farhad. - p. 1503-1507 , 2021
Link: https://dl.acm.org/doi/1..
 
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11

Scalable edge-based hyperdimensional learning system with b..:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,
Zou, Zhuowen ; Kim, Yeseong ; Imani, Farhad... - p. 1-15 , 2021
Link: https://dl.acm.org/doi/1..
 
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12

Correction to: Stochastic Sequential Modeling: Toward Impro..:

Nahlawi, Layan ; Imani, Farhad ; Gaed, Mena...
Annals of Biomedical Engineering.  48 (2020)  12 - p. 3025-3025 , 2020
Link: https://doi.org/10.1007/..
 
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13

A hybrid deep learning model of process-build interactions ..:

Mojahed Yazdi, Reza ; Imani, Farhad ; Yang, Hui
Journal of Manufacturing Systems.  57 (2020)  - p. 460-468 , 2020
Link: https://doi.org/10.1016/..
 
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14

Stochastic Sequential Modeling: Toward Improved Prostate Ca..:

Nahlawi, Layan ; Imani, Farhad ; Gaed, Mena...
Annals of Biomedical Engineering.  49 (2020)  2 - p. 573-584 , 2020
Link: https://doi.org/10.1007/..
 
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15

Hierarchical Gaussian Process Modeling and Estimation of St..:

, In: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC),
Qiu, Zihang ; Imani, Farhad ; Yang, Hui - p. 5615-5618 , 2020
Link: https://doi.org/10.1109/..
 
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