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Deep learning -- Essays
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Field Programmable Gate Arrays -- Essays
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Theses
7
Development of an Effective Shift Schedule Selection Procedure for Al-Dur Power and Water Plant in Kingdom of Bahrain
Mahdi , Hussain A.Ali
Development of an Effective Shift Schedule Selection Procedure for Al-Dur Power and Water Plant in Kingdom of Bahrain
-
Article
2
Mask region-based CNNs for cervical cancer progression diagnosis on pap smear examinations
Rutili de Lima, C
University of Bahrain
2023
Mask region-based CNNs for cervical cancer progression diagnosis on pap smear examinations
-
Article
4
Automatic Jordanian License Plate Detection and Recognition System Using Deep Learning Techniques
Aqaileh, T
University of Bahrain
2023
Automatic Jordanian License Plate Detection and Recognition System Using Deep Learning Techniques
-
Article
2
Fast approximation of the top‐k items in data streams using FPGAs
Ebrahim, Ali
2023
Fast approximation of the top‐k items in data streams using FPGAs
-
Article
2
Fast approximation of the top‐k items in data streams using FPGAs
Ebrahim, Ali
John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology
2023
Fast approximation of the top‐k items in data streams using FPGAs
-
Article
2
Finding the Top-K Heavy Hitters in Data Streams: A Reconfigurable Accelerator Based on an FPGA-Optimized Algorithm
Ebrahim, A
University of Bahrain
2023
Finding the Top-K Heavy Hitters in Data Streams: A Reconfigurable Accelerator Based on an FPGA-Optimized Algorithm
-
Article
3
Detection of features from the internet of things customer attitudes in the hotel industry using a deep neural network model
Rajesh, Sudha
Elsevier B.V.
2022
Detection of features from the internet of things customer attitudes in the hotel industry using a deep neural network model
-
Article
2
High-Level Design Optimizations for Implementing Data Stream Sketch Frequency Estimators on FPGAs
Ebrahim, Ali
MDPI
2022
High-Level Design Optimizations for Implementing Data Stream Sketch Frequency Estimators on FPGAs
-
Article
7
An embedded deep-clustering-based load profiling framework
Eskandarnia , E
University of Bahrain
2022
An embedded deep-clustering-based load profiling framework
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