Zobrazeno 1 - 10
of 4 283
pro vyhledávání: '"P. Maida"'
We construct a thermodynamic limit for the grand canonical Bose gas (in its Feynman-Kac representation) with superstable interaction. Although we do not prove the presence of infinite cycles, our infinite volume model is naturally a distribution over
Externí odkaz:
http://arxiv.org/abs/2410.10225
Since the onset of LLMs, translating natural language queries to structured SQL commands is assuming increasing. Unlike the previous reviews, this survey provides a comprehensive study of the evolution of LLM-based text-to-SQL systems, from early rul
Externí odkaz:
http://arxiv.org/abs/2410.01066
Autor:
Li, Han, Li, Shaohui, Ding, Shuangrui, Dai, Wenrui, Cao, Maida, Li, Chenglin, Zou, Junni, Xiong, Hongkai
Image compression for machine and human vision (ICMH) has gained increasing attention in recent years. Existing ICMH methods are limited by high training and storage overheads due to heavy design of task-specific networks. To address this issue, in t
Externí odkaz:
http://arxiv.org/abs/2407.09853
Autor:
Lemoine, Thibaut, Maïda, Mylène
We study a Gaussian measure with parameter $q\in(0,1)$ on the dual of the unitary group of size $N$: we prove that a random highest weight under this measure is the coupling of two independent $q$-uniform random partitions $\alpha,\beta$ and a random
Externí odkaz:
http://arxiv.org/abs/2405.08393
Kernel herding belongs to a family of deterministic quadratures that seek to minimize the worst-case integration error over a reproducing kernel Hilbert space (RKHS). In spite of strong experimental support, it has revealed difficult to prove that th
Externí odkaz:
http://arxiv.org/abs/2402.11736
Autor:
Hosseini, Majid, Bodaghi, Morteza, Bhupatiraju, Ravi Teja, Maida, Anthony, Gottumukkala, Raju
The development of various sensing technologies is improving measurements of stress and the well-being of individuals. Although progress has been made with single signal modalities like wearables and facial emotion recognition, integrating multiple m
Externí odkaz:
http://arxiv.org/abs/2311.03606
Autor:
Sameen Abbas, Maida Noor, Ahmad Jalal Masood, Ejaz Ahmed, Arooba Shakeel, Muhammad Saad Ali, Usama Rizwan, Sohail Kamran
Publikováno v:
Exploration of Medicine, Vol 5, Iss 6, Pp 674-683 (2024)
Aim: Hypertension, a prevalent chronic condition, significantly contributes to cardiovascular diseases worldwide. Effective management of hypertension is highly dependent on patient adherence to prescribed medications, as the correct dose at the righ
Externí odkaz:
https://doaj.org/article/7e1aa12d869a422891e5bd2bcac5087b
Autor:
Muqadas Aleem, Muhammad Khuram Razzaq, Maida Aleem, Wenliang Yan, Iram Sharif, Manzer H. Siddiqui, Saba Aleem, Muhammad Sarmad Iftikhar, Benjamin Karikari, Zulfiqar Ali, Naheeda Begum, Tuanjie Zhao
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Drought is one of the major environmental issues that reduce crop yield. Seed germination is a crucial stage of plant development in all crop plants, including soybean. In soybean breeding, information about genetic mechanism of drought tole
Externí odkaz:
https://doaj.org/article/8d91ecee6e7c463f84052369ce8679b5
Publikováno v:
Future Pharmacology, Vol 4, Iss 3, Pp 510-540 (2024)
(1) Background: The SARS-CoV-2 papain-like protease (PLpro) remains an underexplored antiviral target so far. The reduced efficacy of approved treatments against novel variants highlights the importance of developing new agents. This review aims to p
Externí odkaz:
https://doaj.org/article/0cff1e79a88e4c77ac02961e6733dc53
Autor:
Omer Farooq, Maida Shahid, Shazia Arshad, Ayesha Altaf, Faiza Iqbal, Yini Airet Miro Vera, Miguel Angel Lopez Flores, Imran Ashraf
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract The essence of quantum machine learning is to optimize problem-solving by executing machine learning algorithms on quantum computers and exploiting potent laws such as superposition and entanglement. Support vector machine (SVM) is widely re
Externí odkaz:
https://doaj.org/article/a2ffe7dc33774070a9eec966a13b7d0a