Zobrazeno 1 - 10
of 4 702
pro vyhledávání: '"Beam search"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
The data-hungry statistical machine translation (SMT) and neural machine translation (NMT) models offer state-of-the-art results for languages with abundant data resources. However, extensive research is imperative to make these models perform equall
Externí odkaz:
https://doaj.org/article/e3acad548ae043aa92cc8cad027e5f69
Autor:
Gundreddi Deepika Reddy, Nageswara Rao Medikondu, T. Vijaya Kumar, Sireesha Koneru, Phaneendra Babu Bobba, Atul Singla, Alok Kumar Pandey, Hassan M. Al-Jawahry
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
Efficient scheduling and load balancing are essential for optimizing performance in multiprocessor systems. This study proposes a novel hybrid algorithm that integrates beam search and differential evaluation techniques within the domain of artificia
Externí odkaz:
https://doaj.org/article/7e1d432f1bcd411f9b8adf90924d5a5e
Akademický článek
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Publikováno v:
IEEE Access, Vol 12, Pp 100991-101003 (2024)
Captioning images is a challenging task at the intersection of Computer Vision (CV) and Natural Language Processing (NLP), that involves generating descriptive text to depict the content of an image. Existing methodologies typically employ Convolutio
Externí odkaz:
https://doaj.org/article/c191fc72e6a5463b8fd9d691ddc53b1b
Autor:
Zongtao Liu, Wei Dong, Chaoliang Wang, Haoqingzi Shen, Gang Sun, Qun jiang, Quanjin Tao, Yang Yang
Publikováno v:
AI Open, Vol 5, Iss , Pp 46-54 (2024)
Recently, several studies explore to use neural networks(NNs) to solve different routing problems, which is an auspicious direction. These studies usually design an encoder–decoder based framework that uses encoder embeddings of nodes and the probl
Externí odkaz:
https://doaj.org/article/542d311579d34ff49079420d12e31383
Autor:
Irving Barragan-Vite, Joselito Medina-Marin, Norberto Hernandez-Romero, Gustavo Erick Anaya-Fuentes
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8172 (2024)
This paper addresses the one-dimensional cutting stock problem, focusing on minimizing total stock usage. Most procedures that deal with this problem reside on linear programming methods, heuristics, metaheuristics, and hybridizations. These methods
Externí odkaz:
https://doaj.org/article/021d277f0d8b4270aa00c4bff1fd23d4
Publikováno v:
Drones, Vol 8, Iss 9, p 437 (2024)
As IoT technology advances, the smart grid (SG) has become crucial to industrial infrastructure. However, SG faces security challenges, particularly from distributed denial of service (DDoS) attacks, due to inadequate security mechanisms for IoT devi
Externí odkaz:
https://doaj.org/article/0eb51868bdcb4026ae0c2c264c46a1c0
Autor:
Bhavesh Bhagat, Mohit Dua
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 7, Iss , Pp 100441- (2024)
Automatic Speech Recognition (ASR) is the process of converting auditory signals into text representations of spoken words. In recent years, advancements in deep learning algorithms have resulted in the development of intricate architectures that con
Externí odkaz:
https://doaj.org/article/233016ed0e604a37aecdca402566bc01
Akademický článek
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Autor:
Mohsen Afsharian
Publikováno v:
Supply Chain Analytics, Vol 2, Iss , Pp 100006- (2023)
Sustainability in supply chain management addresses various challenges, from waste minimization to resource efficiency maximization. Two-dimensional cutting problems are common problems in most supply chains where small rectangular items need to be c
Externí odkaz:
https://doaj.org/article/02774b8f49f1470fa87773e03df7f2e7