Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Wadii Boulila"'
Publikováno v:
Agronomy, Vol 14, Iss 6, p 1098 (2024)
This paper presents a computational approach for quantifying soybean defects through seed classification using deep learning techniques. To differentiate between good and defective soybean seeds quickly and accurately, we introduce a lightweight soyb
Externí odkaz:
https://doaj.org/article/53bd912909194b25b856cec0b9fe6b83
Publikováno v:
Symmetry, Vol 15, Iss 11, p 2030 (2023)
This paper introduces a novel semicircular distribution obtained by applying the quadratic rank transmutation map to the stereographic semicircular exponential distribution, referred to as the transmuted stereographic semicircular exponential distrib
Externí odkaz:
https://doaj.org/article/c7d675a007ce4423a9db742d94cf19b3
Publikováno v:
Sensors, Vol 23, Iss 21, p 8839 (2023)
Wireless Sensor Networks (WSNs) and the Internet of Things (IoT) have emerged as transforming technologies, bringing the potential to revolutionize a wide range of industries such as environmental monitoring, agriculture, manufacturing, smart health,
Externí odkaz:
https://doaj.org/article/2214b5c6f98544bb81e454f665755a23
Publikováno v:
Sensors, Vol 23, Iss 20, p 8362 (2023)
Intrusion detection systems, also known as IDSs, are widely regarded as one of the most essential components of an organization’s network security. This is because IDSs serve as the organization’s first line of defense against several cyberattack
Externí odkaz:
https://doaj.org/article/b99e0ee5932d4eb58893d342a89b288b
Publikováno v:
Fractal and Fractional, Vol 7, Iss 10, p 762 (2023)
This work presents a highly accurate method for the numerical solution of the advection–diffusion equation of fractional order. In our proposed method, we apply the Laplace transform to handle the time-fractional derivative and utilize the Chebyshe
Externí odkaz:
https://doaj.org/article/a1c397c7f0924d3cbe5b1da187531db5
Publikováno v:
Sensors, Vol 23, Iss 19, p 8333 (2023)
The comparison of low-rank-based learning models for multi-label categorization of attacks for intrusion detection datasets is presented in this work. In particular, we investigate the performance of three low-rank-based machine learning (LR-SVM) and
Externí odkaz:
https://doaj.org/article/66b0434a40394b618da5183826547c67
Publikováno v:
Sensors, Vol 23, Iss 10, p 4672 (2023)
Having access to safe water and using it properly is crucial for human well-being, sustainable development, and environmental conservation. Nonetheless, the increasing disparity between human demands and natural freshwater resources is causing water
Externí odkaz:
https://doaj.org/article/41b22c1e437745e2b01631b4e1762d0f
Publikováno v:
Remote Sensing, Vol 15, Iss 9, p 2346 (2023)
Remote Sensing (RS) images are usually captured at resolutions lower than those required. Deep Learning (DL)-based super-resolution (SR) architectures are typically used to increase the resolution artificially. In this study, we designed a new archit
Externí odkaz:
https://doaj.org/article/7e03b3c27f8442de9403ac77b1899fba
Publikováno v:
Sensors, Vol 23, Iss 5, p 2385 (2023)
The Vision Transformer (ViT) architecture has been remarkably successful in image restoration. For a while, Convolutional Neural Networks (CNN) predominated in most computer vision tasks. Now, both CNN and ViT are efficient approaches that demonstrat
Externí odkaz:
https://doaj.org/article/af65e18c96e44511a78f1faccbc434e8
Publikováno v:
Sensors, Vol 23, Iss 5, p 2427 (2023)
In applications of the Internet of Things (IoT), where many devices are connected for a specific purpose, data is continuously collected, communicated, processed, and stored between the nodes. However, all connected nodes have strict constraints, suc
Externí odkaz:
https://doaj.org/article/7437a2a562a2484e8077500a088fb27e