Zobrazeno 1 - 10
of 9 374
pro vyhledávání: '"Saeidi A"'
This paper develops a unified framework to maximize the network sum-rate in a multi-user, multi-BS downlink terahertz (THz) network by optimizing user associations, number and bandwidth of sub-bands in a THz transmission window (TW), bandwidth of lea
Externí odkaz:
http://arxiv.org/abs/2408.03451
Traditional detection methods of C-reactive protein (CRP) inflammation biomarker, in blood are expensive, time-consuming and labor-intensive. Such existing point-of-care CRP detection devices remain invasive, since they need blood sampling (finger-pr
Externí odkaz:
http://arxiv.org/abs/2407.16734
Autor:
Uddin, Md Nayem, Saeidi, Amir, Handa, Divij, Seth, Agastya, Son, Tran Cao, Blanco, Eduardo, Corman, Steven R., Baral, Chitta
This paper introduces UnSeenTimeQA, a novel time-sensitive question-answering (TSQA) benchmark that diverges from traditional TSQA benchmarks by avoiding factual and web-searchable queries. We present a series of time-sensitive event scenarios decoup
Externí odkaz:
http://arxiv.org/abs/2407.03525
Autor:
Varshney, Neeraj, Raj, Satyam, Mishra, Venkatesh, Chatterjee, Agneet, Sarkar, Ritika, Saeidi, Amir, Baral, Chitta
Large Language Models (LLMs) have achieved remarkable performance across a wide variety of natural language tasks. However, they have been shown to suffer from a critical limitation pertinent to 'hallucination' in their output. Recent research has fo
Externí odkaz:
http://arxiv.org/abs/2406.05494
Large Language Models (LLMs) perform well across diverse tasks, but aligning them with human demonstrations is challenging. Recently, Reinforcement Learning (RL)-free methods like Direct Preference Optimization (DPO) have emerged, offering improved s
Externí odkaz:
http://arxiv.org/abs/2405.16681
Autor:
Saeidi, Nematollah, Karshenas, Hossein, Shoushtarian, Bijan, Hatamikia, Sepideh, Woitek, Ramona, Mahbod, Amirreza
Breast cancer is the most common cancer type in women worldwide. Early detection and appropriate treatment can significantly reduce its impact. While histopathology examinations play a vital role in rapid and accurate diagnosis, they often require a
Externí odkaz:
http://arxiv.org/abs/2405.04211
Large Language Models (LLMs) have demonstrated remarkable performance across a spectrum of tasks. Recently, Direct Preference Optimization (DPO) has emerged as an RL-free approach to optimize the policy model on human preferences. However, several li
Externí odkaz:
http://arxiv.org/abs/2404.14723
This study introduces an innovative approach to classifying various types of Persian rice using image-based deep learning techniques, highlighting the practical application of everyday technology in food categorization. Recognizing the diversity of P
Externí odkaz:
http://arxiv.org/abs/2404.13555
Autor:
Zouhal H, Saeidi A, Salhi A, Li H, Essop MF, Laher I, Rhibi F, Amani-Shalamzari S, Ben Abderrahman A
Publikováno v:
Open Access Journal of Sports Medicine, Vol Volume 11, Pp 1-28 (2020)
Hassane Zouhal, 1 Ayoub Saeidi, 2,* Amal Salhi, 3,* Huige Li, 4 M Faadiel Essop, 5 Ismail Laher, 6 Fatma Rhibi, 1 Sadegh Amani-Shalamzari, 2 Abderraouf Ben Abderrahman 7 1M2S (Laboratoire Mouvement, Sport, Santé), University of Rennes, Rennes F-3500
Externí odkaz:
https://doaj.org/article/23460a39282b40b4b036679e410e7982
Autor:
Melnik, Andrew, Schiewer, Robin, Lange, Moritz, Muresanu, Andrei, Saeidi, Mozhgan, Garg, Animesh, Ritter, Helge
Physical reasoning is a crucial aspect in the development of general AI systems, given that human learning starts with interacting with the physical world before progressing to more complex concepts. Although researchers have studied and assessed the
Externí odkaz:
http://arxiv.org/abs/2312.10728