Zobrazeno 1 - 10
of 3 462
pro vyhledávání: '"A. Mahta"'
Grapheme-to-phoneme (G2P) conversion is critical in speech processing, particularly for applications like speech synthesis. G2P systems must possess linguistic understanding and contextual awareness of languages with polyphone words and context-depen
Externí odkaz:
http://arxiv.org/abs/2409.08554
In this study, we introduce ManaTTS, the most extensive publicly accessible single-speaker Persian corpus, and a comprehensive framework for collecting transcribed speech datasets for the Persian language. ManaTTS, released under the open CC-0 licens
Externí odkaz:
http://arxiv.org/abs/2409.07259
In this paper, we compare the performance of three common deep learning architectures, CNN-LSTM, LSTM, and 3D-CNN, in the context of surrogate storm surge modeling. The study site for this paper is the Tampa Bay area in Florida. Using high-resolution
Externí odkaz:
http://arxiv.org/abs/2408.05797
Over the years, various approaches have been employed to enhance the productivity of knowledge workers, from addressing psychological well-being to the development of personal knowledge assistants. A significant challenge in this research area has be
Externí odkaz:
http://arxiv.org/abs/2404.10505
Autor:
Saremi, Mahta, author, Darabi, Hassan, author, Amiri, Mohammad Javad, author, Bidhendi, Gholamreza Nabi, author, Behbahani, Homa Irani, author
Publikováno v:
Emerging Patterns and Behaviors in a Green Resilient Economy
Autor:
Piovesan, Damiano, Zago, Davide, Joshi, Parnal, Kaluza, M. Clara De Paolis, Mehdiabadi, Mahta, Ramola, Rashika, Monzon, Alexander Miguel, Reade, Walter, Friedberg, Iddo, Radivojac, Predrag, Tosatto, Silvio C. E.
We present CAFA-evaluator, a powerful Python program designed to evaluate the performance of prediction methods on targets with hierarchical concept dependencies. It generalizes multi-label evaluation to modern ontologies where the prediction targets
Externí odkaz:
http://arxiv.org/abs/2310.06881
Autor:
Akhyani, Mahta
Inspecting petrochemical pipelines is challenging due to hazardous materials, narrow diameters, and inaccessible locations. Mobile robots are promising for autonomous pipeline inspection and mapping. This project aimed to simulate and implement a rob
Externí odkaz:
http://arxiv.org/abs/2311.11948
Autor:
Faezeh Bafrouizadeh, Seyed Kazem Sabbagh, Mahta Mazaheri, Mohammad Rezaza Sarafraz-ardakani, Farzaneh Shetabi
Publikováno v:
Majallah-i Dānishgāh-i ’Ulūm-i Pizishkī-i Shahīd Ṣadūqī Yazd, Vol 32, Iss 7, Pp 8045-8055 (2024)
Introduction: Ovarian cancer, as an aggressive epithelial tumor, remains one of the leading causes of cancer-related mortality in women. Regarding to the side effects of chemical drugs, medicinal plants, according to their unique properties such as c
Externí odkaz:
https://doaj.org/article/88453eb2c2f7420dbb1b9b54dc3fb378
Publikováno v:
BioMedical Engineering OnLine, Vol 23, Iss 1, Pp 1-48 (2024)
Abstract This review aims to comprehensively explore calcium-enriched mixture (CEM) cement as a crucial biomaterial in dentistry/endodontics. With its growing clinical relevance, there is a need to evaluate its composition, chemical/physical/biologic
Externí odkaz:
https://doaj.org/article/11250f48d3f0403fb55bcf057996b07b
Autor:
Zhang, Jingqing, Sun, Kai, Jagadeesh, Akshay, Ghahfarokhi, Mahta, Gupta, Deepa, Gupta, Ashok, Gupta, Vibhor, Guo, Yike
Recent studies have demonstrated promising performance of ChatGPT and GPT-4 on several medical domain tasks. However, none have assessed its performance using a large-scale real-world electronic health record database, nor have evaluated its utility
Externí odkaz:
http://arxiv.org/abs/2307.08152