Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Hammad, Issam"'
Publikováno v:
43rd Annual CNS Conference and the 48th Annual CNS/CNA Student Conference Sheraton Cavalier Saskatoon Hotel, Saskatoon, SK, Canada, June 16-19, 2024
This paper examines the application of ChatGPT, a large language model (LLM), for question-and-answer (Q&A) tasks in the highly specialized field of nuclear data. The primary focus is on evaluating ChatGPT's performance on a curated test dataset, com
Externí odkaz:
http://arxiv.org/abs/2409.00090
Publikováno v:
43rd Annual CNS Conference and the 48th Annual CNS/CNA Student Conference Sheraton Cavalier Saskatoon Hotel, Saskatoon, SK, Canada, June 16-19, 2024
This paper proposes the development of a Large Language Model (LLM) based machine learning classifier designed to categorize Station Condition Records (SCRs) at nuclear power stations into safety-related and non-safety-related categories. The primary
Externí odkaz:
http://arxiv.org/abs/2409.00091
Publikováno v:
2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)
This paper presents a novel method to boost the performance of CNN inference accelerators by utilizing subtractors. The proposed CNN preprocessing accelerator relies on sorting, grouping, and rounding the weights to create combinations that allow for
Externí odkaz:
http://arxiv.org/abs/2310.01022
Autor:
Hammad, Issam
Publikováno v:
41st Annual Conference of the Canadian Nuclear Society and 46th Annual CNS/CNA Student Conference, Virtual Conference, June 5 - June 8, 2022
Sensors such as accelerometers, magnetometers, and gyroscopes are frequently utilized to perform measurements in nuclear power plants. For example, accelerometers are used for vibration monitoring of critical systems. With the recent rise of machine
Externí odkaz:
http://arxiv.org/abs/2310.01014
Nuclear reactor inspections are critical to ensure the safety and reliability of a nuclear facility's operation. In Canada, Ultrasonic Testing (UT) is used to inspect the health of pressure tubes which are part of Canada's Deuterium Uranium (CANDU) r
Externí odkaz:
http://arxiv.org/abs/2102.13635
Publikováno v:
2019 IEEE International Conference on Robotics and Biomimetics (ROBIO)
This paper presents by simulation how approximate multipliers can be utilized to enhance the training performance of convolutional neural networks (CNNs). Approximate multipliers have significantly better performance in terms of speed, power, and are
Externí odkaz:
http://arxiv.org/abs/2001.00060
Publikováno v:
IEEE International Conference on Robotics and Biomimetics (ROBIO) 2019
A comparison of the performance of various machine learning models to predict the direction of a wall following robot is presented in this paper. The models were trained using an open-source dataset that contains 24 ultrasound sensors readings and th
Externí odkaz:
http://arxiv.org/abs/1912.11856
Autor:
Hammad, Issam
This thesis introduces new efficient hardware implementations for the Advanced Encryption Standard (AES) algorithm. Two main contributions are presented in this thesis, the first one is a high speed 128 bits AES encryptor, and the second one is a new
Externí odkaz:
http://hdl.handle.net/10222/13110
Autor:
Hammad, Issam1 (AUTHOR) issam.hammad@dal.ca, Poloni, Matthew2 (AUTHOR), Isherwood, Andrew2 (AUTHOR), Simpson, Ryan3 (AUTHOR)
Publikováno v:
Sensors (14248220). Apr2023, Vol. 23 Issue 8, p3907. 12p.
Akademický článek
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