Zobrazeno 1 - 10
of 1 131
pro vyhledávání: '"variational auto-encoder"'
Autor:
Mohammad Amin Razavi, A. Pouyan Nejadhashemi, Babak Majidi, Hoda S. Razavi, Josué Kpodo, Rasu Eeswaran, Ignacio Ciampitti, P.V. Vara Prasad
Publikováno v:
Artificial Intelligence in Agriculture, Vol 14, Iss , Pp 99-114 (2024)
In this study, we employ advanced data-driven techniques to investigate the complex relationships between the yields of five major crops and various geographical and spatiotemporal features in Senegal. We analyze how these features influence crop yie
Externí odkaz:
https://doaj.org/article/f35fb07613a84a0386b8d284587d2b6f
Publikováno v:
Medičnì Perspektivi, Vol 29, Iss 3, Pp 96-107 (2024)
The main purpose of this work was to investigate the possibility of detecting respiratory diseases in audio recordings of lung auscultation using modern deep learning tools, as well as to explore the possibility of using data augmentation by generati
Externí odkaz:
https://doaj.org/article/0fc63349b4e04fb68330339a6361f679
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 7, Pp 1865-1878 (2024)
How to capture the dynamic changes and dependencies of user behavior is a vital issue existing in point-of-interest (POI) recommendation. It mainly faces challenges including data scarcity, difficulty in extracting spatio-temporal sequence features a
Externí odkaz:
https://doaj.org/article/1f7a70541a844647ab87b421ff6bd509
Autor:
Tong Zhao, Yi Cui, Taoyun Ji, Jiejian Luo, Wenling Li, Jun Jiang, Zaifen Gao, Wenguang Hu, Yuxiang Yan, Yuwu Jiang, Bo Hong
Publikováno v:
NeuroImage, Vol 304, Iss , Pp 120946- (2024)
The electroencephalogram (EEG) exhibits characteristics of complexity and strong randomness. Existing deep learning models for EEG typically target specific objectives and datasets, with their scalability constrained by the size of the dataset, resul
Externí odkaz:
https://doaj.org/article/73ffdbaafd1a44899c419ba86be563c1
Publikováno v:
IEEE Access, Vol 12, Pp 182737-182751 (2024)
The Capsule Shape All-Terrain Robot (CS-ATR) is designed to address the challenges of navigating rough and unpredictable environments, such as disaster zones, where stability, maneuverability, and adaptability are critical. This study presents the de
Externí odkaz:
https://doaj.org/article/182cb3ebdb8e4159a3a820be839d4561
Publikováno v:
IEEE Photonics Journal, Vol 16, Iss 6, Pp 1-9 (2024)
This paper focuses on three-dimensional measurement system of printed circuit board components. Most automated optical inspections suffer from shadows and reflections obscured by the components. We propose a new method to restore shadow and reflectio
Externí odkaz:
https://doaj.org/article/91a25e14918c4c0681dd1fb020e6d78e
Publikováno v:
IEEE Access, Vol 12, Pp 170148-170160 (2024)
The rapid advancement of technology has made network security a hot topic of concern for researchers worldwide. Therefore, to improve the accuracy and real-time response capability of network intrusion detection systems, and to effectively detect and
Externí odkaz:
https://doaj.org/article/5748813997e841898f32af449e5ad143
Autor:
Bayaraa Enkhsaikhan, Ohyun Jo
Publikováno v:
IEEE Access, Vol 12, Pp 166553-166563 (2024)
We explored the use of Reinforcement Learning (RL) combined with risk assessment for optimizing investment portfolios. The dynamic nature of trading, compounded by market frictions, the responses of other market participants, and uncertainties, poses
Externí odkaz:
https://doaj.org/article/26869cce858c4491b2921097d5e33277
Publikováno v:
IEEE Access, Vol 12, Pp 3428-3436 (2024)
In this research, we address the urgent need for accurate prediction of in-hospital survival periods for patients diagnosed with pancreatic cancer (PC), a disease notorious for its late-stage diagnosis and dismal survival rates. Utilizing machine lea
Externí odkaz:
https://doaj.org/article/dfd9e55b1a3f4a858aa4e6f1a1ad7647
Autor:
Dao Anh Vu, Nguyen Khoi Hoang Do, Huyen Ngoc Thi Nguyen, Hieu Minh Dam, Thuy Thanh Thi Tran, Quyen Xuan Nguyen, Dung Cao Truong
Publikováno v:
Photonics, Vol 11, Iss 10, p 967 (2024)
In long-haul WDM (wavelength division multiplexing) optical communication systems utilizing the DP-16QAM modulation scheme, traditional methods for removing chaos have exhibited poor performance, resulting in a high bit error rate of 10−2 between t
Externí odkaz:
https://doaj.org/article/0297094802d74db8b1d4e9d4f0ad47d5