Zobrazeno 1 - 10
of 874
pro vyhledávání: '"Machine learning classifiers"'
Autor:
Ashish Singh Chauhan, Rajesh Singh, Neeraj Priyadarshi, Bhekisipho Twala, Surindra Suthar, Siddharth Swami
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-26 (2024)
Abstract This study explores the practical applications of artificial intelligence (AI) in medical imaging, focusing on machine learning classifiers and deep learning models. The aim is to improve detection processes and diagnose diseases effectively
Externí odkaz:
https://doaj.org/article/e75c8815a7294289a49c984d5c7cc3c3
Autor:
Abul Bashar
Publikováno v:
Electronic Research Archive, Vol 32, Iss 7, Pp 4255-4290 (2024)
The ubiquitous adoption of Android devices has unfortunately brought a surge in malware threats, compromising user data, privacy concerns, and financial and device integrity, to name a few. To combat this, numerous efforts have explored automated bot
Externí odkaz:
https://doaj.org/article/7c9bd1b6f5b142a399227b8f5c601b9f
Autor:
Maíra Martins da Silva, Robson Mateus Freitas Silveira, Gean Gobo da Cruz, Karen Airosa Machado de Azevedo, Carla Maris Machado Bittar, Iran José Oliveira da Silva
Publikováno v:
Smart Agricultural Technology, Vol 9, Iss , Pp 100682- (2024)
Animal bioacoustics is an important tool for monitoring different aspects of the physiology, behavior and well-being of animals remotely, non-invasively and continuously. Studies using this science are growing mainly due to the development of machine
Externí odkaz:
https://doaj.org/article/6df3bf43d547488db633c58817019d03
Publikováno v:
Case Studies in Chemical and Environmental Engineering, Vol 10, Iss , Pp 100822- (2024)
Monitoring river water quality is crucial for safeguarding public health, protecting ecosystems, and ensuring economic sustainability. It helps detect contaminants, ensures drinking water safety, and facilitates early intervention for environmental p
Externí odkaz:
https://doaj.org/article/139cd2765979452c9fc6b189321c1eae
Publikováno v:
Cogent Food & Agriculture, Vol 10, Iss 1 (2024)
Cotton diseases are disastrous for quality and sustainable production of the yield. Cotton leaf curl virus (CLCuV) is one of the most damaging diseases for cotton crops. Symptoms-based CLCuV identification is tedious, time consuming, error prone and
Externí odkaz:
https://doaj.org/article/025d42eefd4c408ca98233cde6b2099e
Publikováno v:
Digital, Vol 4, Iss 3, Pp 529-554 (2024)
Brain tumors are frequently classified with high accuracy using convolutional neural networks (CNNs) to better comprehend the spatial connections among pixels in complex pictures. Due to their tiny receptive fields, the majority of deep convolutional
Externí odkaz:
https://doaj.org/article/4f680d2a6f7a4b8981c92aecfe17836d
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Alzheimer disease (AD) is among the most chronic neurodegenerative diseases that threaten global public health. The prevalence of Alzheimer disease and consequently the increased risk of spread all over the world pose a vital threat to human
Externí odkaz:
https://doaj.org/article/6dbc5ff8341941e18dc0b9db2bd6e09d
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-32 (2024)
Abstract This research addresses the accuracy issues in IoT-based human activity recognition (HAR) applications, essential for health monitoring, elderly care, gait analysis, security, and Industry 5.0. This study uses 12 machine learning approaches,
Externí odkaz:
https://doaj.org/article/23a7a3fb08ed4a4ebe97da2f97a7505c
Publikováno v:
Heliyon, Vol 10, Iss 13, Pp e33826- (2024)
Although presepsin, a crucial biomarker for the diagnosis and management of sepsis, has gained prominence in contemporary medical research, its relationship with routine laboratory parameters, including demographic data and hospital blood test data,
Externí odkaz:
https://doaj.org/article/cf1834a705d64f29bad142f86e0152ff
Publikováno v:
European Radiology Experimental, Vol 8, Iss 1, Pp 1-13 (2024)
Abstract An increasingly strong connection between artificial intelligence and medicine has enabled the development of predictive models capable of supporting physicians’ decision-making. Artificial intelligence encompasses much more than machine l
Externí odkaz:
https://doaj.org/article/15745d791723411385768a5a12409ce7