Zobrazeno 1 - 10
of 1 153
pro vyhledávání: '"layer-wise"'
Publikováno v:
Visual Computing for Industry, Biomedicine, and Art, Vol 7, Iss 1, Pp 1-12 (2024)
Abstract Alzheimer’s disease (AD) is a neurological disorder that predominantly affects the brain. In the coming years, it is expected to spread rapidly, with limited progress in diagnostic techniques. Various machine learning (ML) and artificial i
Externí odkaz:
https://doaj.org/article/a8218f0d05a34f4db043132c16b520be
Autor:
Maria Tariq, Usman Ali, Sagheer Abbas, Shahzad Hassan, Rizwan Ali Naqvi, Muhammad Adnan Khan, Daesik Jeong
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
The agricultural sector is pivotal to food security and economic stability worldwide. Corn holds particular significance in the global food industry, especially in developing countries where agriculture is a cornerstone of the economy. However, corn
Externí odkaz:
https://doaj.org/article/32699ac742764a98b1b5ab4957122765
Publikováno v:
物联网学报, Vol 7, Pp 110-122 (2023)
The wireless power transfer technique is promising in solving the energy bottleneck of sensor nodes in wireless sensor networks, which can thus prolong the network lifetime or even maintain sustainable network operations.Most existing works focused o
Externí odkaz:
https://doaj.org/article/20ebb568f4224cc98ecdda409e4285ac
Publikováno v:
Heliyon, Vol 10, Iss 4, Pp e26052- (2024)
As one of many fundamental sports techniques, the landing maneuver is also frequently used in clinical injury screening and diagnosis. However, the landing patterns are different under different constraints, which will cause great difficulties for cl
Externí odkaz:
https://doaj.org/article/fa5213574cf24967855545bf28ebb9a6
Publikováno v:
ICT Express, Vol 9, Iss 4, Pp 548-555 (2023)
This paper presents a tutorial on Deep Learning (DL) with Federated Learning (FL)-based indoor localization method for non-Independently and Identically Distributed (non-IID) fingerprinting databases. To this end, this paper explains systematic appro
Externí odkaz:
https://doaj.org/article/8d2256e452e54ad88bd999e8fced0ce9
Autor:
Siddharth Gupta, Arun K. Dubey, Rajesh Singh, Mannudeep K. Kalra, Ajith Abraham, Vandana Kumari, John R. Laird, Mustafa Al-Maini, Neha Gupta, Inder Singh, Klaudija Viskovic, Luca Saba, Jasjit S. Suri
Publikováno v:
Diagnostics, Vol 14, Iss 14, p 1534 (2024)
Background: Diagnosing lung diseases accurately is crucial for proper treatment. Convolutional neural networks (CNNs) have advanced medical image processing, but challenges remain in their accurate explainability and reliability. This study combines
Externí odkaz:
https://doaj.org/article/7061d3ed97fb42e4a2c3025718da30d7
Autor:
Alejandro Fernández, Pablo Zapico, David Blanco, Fernando Peña, Natalia Beltrán, Sabino Mateos
Publikováno v:
Sensors, Vol 24, Iss 11, p 3459 (2024)
Material Extrusion (MEX) currently stands as the most widespread Additive Manufacturing (AM) process, but part quality deficiencies remain a barrier to its generalized industrial adoption. Quality control in MEX is a complex task as extrusion perform
Externí odkaz:
https://doaj.org/article/f35edc9dc3944294a53f08b04e117dec
Autor:
Ali Nouri, Zahra Tabanfar
Publikováno v:
Frontiers in Biomedical Technologies, Vol 11, Iss 1 (2024)
Purpose: Attention-Deficit-Hyperactivity-Disorder (ADHD) is a neurodevelopmental disorder that begins in early childhood and often persists into adulthood, causing personality issues and social behavior problems. Thus, detecting ADHD in its early sta
Externí odkaz:
https://doaj.org/article/37376738208d46e09113adcbc2a55a4d
Publikováno v:
Artificial Intelligence Chemistry, Vol 1, Iss 2, Pp 100010- (2023)
As increasingly more data science-driven approaches have been applied for compound properties predictions in the domain of drug discovery, such kinds of methods have displayed considerable accuracy compared to conventional ones. In this work, we prop
Externí odkaz:
https://doaj.org/article/1925b62e75f0443290a2f81528439497
Publikováno v:
Frontiers in Computational Neuroscience, Vol 17 (2023)
IntroductionAs deep learning has achieved state-of-the-art performance for many tasks of EEG-based BCI, many efforts have been made in recent years trying to understand what have been learned by the models. This is commonly done by generating a heatm
Externí odkaz:
https://doaj.org/article/4c89c4892cdf449db86f4639579b3564