Zobrazeno 1 - 10
of 514
pro vyhledávání: '"Junzo Watada"'
Publikováno v:
IEEE Access, Vol 12, Pp 83299-83322 (2024)
Deep Neural Learning has unequivocally demonstrated its exceptional capabilities, surpassing the performance of various Machine Learning techniques in recent years. Optimizing the parameters, such as weights, in Deep Neural Learning can be a challeng
Externí odkaz:
https://doaj.org/article/cd91f5b2f99d4f0091211cf9a86e34fc
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 2, Pp 1845-1877 (2023)
Abstract The introduction of a multi-population structure in differential evolution (DE) algorithm has been proven to be an effective way to achieve algorithm adaptation and multi-strategy integration. However, in existing studies, the mutation strat
Externí odkaz:
https://doaj.org/article/4e48b32ab3d54ea78536314554829b60
Publikováno v:
Algorithms, Vol 17, Iss 4, p 139 (2024)
Drones play a pivotal role in various industries of Industry 4.0. For achieving the application of drones in a dynamic environment, finding a clear path for their autonomous flight requires more research. This paper addresses the problem of finding a
Externí odkaz:
https://doaj.org/article/d2ff9aa79a5a4296abc68c2b903c6847
Publikováno v:
IEEE Access, Vol 11, Pp 98486-98499 (2023)
Most of the world’s oil reserves and natural gas are stored within carbonate rock’s pores and fractures. Pores and fractures are quite popular for predicting the amount of petroleum under an adequate trap condition. Hence, their petrophysical pro
Externí odkaz:
https://doaj.org/article/fae9bb3aae50448ea7f4f7b1e6976d92
Publikováno v:
Heliyon, Vol 9, Iss 6, Pp e16468- (2023)
The traditional parameter estimation methods for photovoltaic (PV) module are strictly limited by the reference standards. On the basis of the double diode model (DDM), this paper proposes a modified PV module that is independent of the reference con
Externí odkaz:
https://doaj.org/article/bcee259e9d9e4bbfa5499885d06291c3
Autor:
Nataliya Kalashnykova, Viacheslav Kalashnikov, Junzo Watada, Jose Guadalupe Flores-Muniz, Toni Anwar, Pei-Chun Lin
Publikováno v:
IEEE Access, Vol 10, Pp 107799-107808 (2022)
In this work, we examine a mixed oligopoly model within the framework of consistent conjectural variations, in which one of the producers is a labor-managed company competing with other private firms, and consumer demand is given by a discontinuous f
Externí odkaz:
https://doaj.org/article/d16a76c54a534624b08d8ed920f59b56
Publikováno v:
IEEE Access, Vol 9, Pp 161959-161977 (2021)
Video object segmentation’s primary goal is to automatically extract the principal object(s) in the foreground from the background in videos. The primary focus of the current deep learning-based models is to learn the discriminative representations
Externí odkaz:
https://doaj.org/article/5fb7bb1261404604bad6161e4033926b
Publikováno v:
IEEE Access, Vol 9, Pp 168415-168432 (2021)
Semantic segmentation annotation helps train computer vision based Artificial Intelligence models where each image pixel is assigned to a specific object class. The model developers try to identify the features helpful for determining the objects of
Externí odkaz:
https://doaj.org/article/04dd56686f434e659765d2a7020a221c
Publikováno v:
Entropy, Vol 25, Iss 2, p 317 (2023)
Meta-heuristic algorithms are widely used in complex problems that cannot be solved by traditional computing methods due to their powerful optimization capabilities. However, for high-complexity problems, the fitness function evaluation may take hour
Externí odkaz:
https://doaj.org/article/4e206d4c18c841a5bf303dcaaf2aad82
Publikováno v:
Algorithms, Vol 16, Iss 1, p 42 (2023)
The purpose of the current study is to propose a novel meta-heuristic image analysis approach using multi-objective optimization, named ‘Pixel-wise k-Immediate Neighbors’ to identify pores and fractures (both natural and induced, even in the micr
Externí odkaz:
https://doaj.org/article/9643eb8efc6444a59f03d433f53c5c81