Zobrazeno 1 - 10
of 6 628
pro vyhledávání: '"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
Autor:
Mahmoud Ragab, Iyad Katib, Sanaa A. Sharaf, Hassan A. Alterazi, Alanoud Subahi, Sana G. Alattas, Sami Saeed Binyamin, Jaber Alyami
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Brain tumours (BT) affect human health owing to their location. Artificial intelligence (AI) is intended to assist in diagnosing and treating complex diseases by combining technologies like deep learning (DL), big data analytics, and machine
Externí odkaz:
https://doaj.org/article/34c428a3b2e044a98de447c8362408cb
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Distributed denial of service (DDoS) attack is one of the most hazardous assaults in cloud computing or networking. By depleting resources, this attack renders the services unavailable to end users and leads to significant financial and repu
Externí odkaz:
https://doaj.org/article/f1dc4436eedd48b29bb369f860339c1b
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-21 (2024)
Abstract Background: As noncoding RNAs, circular RNAs (circRNAs) can act as microRNA (miRNA) sponges due to their abundant miRNA binding sites, allowing them to regulate gene expression and influence disease development. Accurately identifying circRN
Externí odkaz:
https://doaj.org/article/30041016389946d5a4968f979d48941d
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:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-22 (2024)
Abstract Background Long non-coding RNAs (lncRNAs) can prevent, diagnose, and treat a variety of complex human diseases, and it is crucial to establish a method to efficiently predict lncRNA-disease associations. Results In this paper, we propose a p
Externí odkaz:
https://doaj.org/article/e13ac069253f423d91b6a59442be05b0
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:
Systems and Soft Computing, Vol 6, Iss , Pp 200079- (2024)
This article introduces a predictive deep learning model called MLP-SDAE, which combines Multilayer Perceptron (MLP) and Stacked Denoising Auto-encoder (SDAE) techniques. Our model, MLP-SDAE is trained using Stacked Denoising Auto-Encoder for feature
Externí odkaz:
https://doaj.org/article/12e3e93cda4146d78e7bb28f54dbb5a1
Autor:
Pournima Pande, Bhagyashree Hambarde
Publikováno v:
Water Practice and Technology, Vol 19, Iss 5, Pp 1603-1614 (2024)
Efficient wastewater treatment is crucial for environmental protection and ensuring the availability of potable water. However, existing optimization models often fall short in effectively analyzing historical data, optimizing dosages, or predicting
Externí odkaz:
https://doaj.org/article/d9b62e427ac44cd5a35542622aa3405e