Zobrazeno 1 - 10
of 141 278
pro vyhledávání: '"A. Anwar"'
Autor:
A. Anwar
Publikováno v:
مجلة الأنبار للعلوم الزراعية, Vol 21, Iss 2, Pp 284-297 (2023)
The present study investigated the effects of dietary supplemented with sage leaf powder on growth performance, feed utilization, carcass composition, blood parameters and stress hormones in common carp Cyprinus carpio reared in cages in Grdarasha st
Externí odkaz:
https://doaj.org/article/209c95c8b9ff4ad38be1507a3af3e857
Autor:
Qian, Chenghao, Rezaei, Mahdi, Anwar, Saeed, Li, Wenjing, Hussain, Tanveer, Azarmi, Mohsen, Wang, Wei
Adverse conditions like snow, rain, nighttime, and fog, pose challenges for autonomous driving perception systems. Existing methods have limited effectiveness in improving essential computer vision tasks, such as semantic segmentation, and often focu
Externí odkaz:
http://arxiv.org/abs/2409.02045
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
Lemon and Orange Disease Classification using CNN-Extracted Features and Machine Learning Classifier
Lemons and oranges, both are the most economically significant citrus fruits globally. The production of lemons and oranges is severely affected due to diseases in its growth stages. Fruit quality has degraded due to the presence of flaws. Thus, it i
Externí odkaz:
http://arxiv.org/abs/2408.14206
Surgical scene understanding in Robot-assisted Minimally Invasive Surgery (RMIS) is highly reliant on visual cues and lacks tactile perception. Force-modulated surgical palpation with tactile feedback is necessary for localization, geometry/depth est
Externí odkaz:
http://arxiv.org/abs/2408.13699
Autor:
Anwar, Md Sayeed, Jenifer, S. Nirmala, Muruganandam, Paulsamy, Ghosh, Dibakar, Carletti, Timoteo
Many natural and human-made complex systems feature group interactions that adapt over time in response to their dynamic states. However, most of the existing adaptive network models fall short of capturing these group dynamics, as they focus solely
Externí odkaz:
http://arxiv.org/abs/2408.12235
Autor:
Anwar, Muhammad Adnan, Tiago, Jorge
Understanding time-dependent blood flow dynamics in arteries is crucial for diagnosing and treating cardiovascular diseases. However, accurately predicting time-varying flow patterns requires integrating observational data with computational models i
Externí odkaz:
http://arxiv.org/abs/2408.11617
Existing local Explainable AI (XAI) methods, such as LIME, select a region of the input space in the vicinity of a given input instance, for which they approximate the behaviour of a model using a simpler and more interpretable surrogate model. The s
Externí odkaz:
http://arxiv.org/abs/2408.10085
Federated learning (FL) has emerged as a promising approach to training machine learning models across decentralized data sources while preserving data privacy, particularly in manufacturing and shared production environments. However, the presence o
Externí odkaz:
http://arxiv.org/abs/2408.09556