Zobrazeno 1 - 10
of 264
pro vyhledávání: '"multimodal feature fusion"'
Publikováno v:
BioData Mining, Vol 17, Iss 1, Pp 1-23 (2024)
Abstract Alzheimer’s disease (AD) is an advanced and incurable neurodegenerative disease. Genetic variations are intrinsic etiological factors contributing to the abnormal expression of brain function and structure in AD patients. A new multimodal
Externí odkaz:
https://doaj.org/article/63e8f83050ce4c2d9d71bc41488f2f20
Publikováno v:
Big Data Mining and Analytics, Vol 7, Iss 3, Pp 590-602 (2024)
Kirsten rat sarcoma viral oncogene homolog (namely KRAS) is a key biomarker for prognostic analysis and targeted therapy of colorectal cancer. Recently, the advancement of machine learning, especially deep learning, has greatly promoted the developme
Externí odkaz:
https://doaj.org/article/e5318c9013be456dab7a3a654e626975
Publikováno v:
Frontiers in Drug Discovery, Vol 4 (2024)
Understanding drug–drug interactions (DDIs) plays a vital role in the fields of drug disease treatment, drug development, preventing medical error, and controlling health care-costs. Extracting potential from biomedical corpora is a major complemen
Externí odkaz:
https://doaj.org/article/e133c8dc96ed434f9e936e23fcaece94
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-14 (2024)
Abstract Matching abbreviated names with their full names (full-abbr matching) plays a key role in data integration, address matching, information retrieval, and other fields. Traditional full-abbr matching technology often encounters issues related
Externí odkaz:
https://doaj.org/article/a70d8c0c22244ad48746bf68ef4e5336
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 3104-3115 (2024)
Surface electromyography (sEMG), a human-machine interface for gesture recognition, has shown promising potential for decoding motor intentions, but a variety of nonideal factors restrict its practical application in assistive robots. In this paper,
Externí odkaz:
https://doaj.org/article/8c4726a7e557492384477e76a0de8206
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 8581-8593 (2024)
Smart satellites and unmanned aerial vehicles (UAVs) are typically equipped with visible light and infrared (IR) spectrum sensors. However, achieving real-time object detection utilizing these multimodal data on such resource-limited devices is a cha
Externí odkaz:
https://doaj.org/article/24320c0fba4e40f7a3c636be8871dd83
Publikováno v:
Sensors, Vol 24, Iss 22, p 7139 (2024)
To address the issues of single-structured feature input channels, insufficient feature learning capabilities in noisy environments, and large model parameter sizes in intelligent diagnostic models for mechanical equipment, a lightweight and efficien
Externí odkaz:
https://doaj.org/article/84892e9f338a44b988340cf67ff0e0d4
Publikováno v:
Big Data and Cognitive Computing, Vol 8, Iss 10, p 134 (2024)
Information sharing on social media has become a common practice for people around the world. Since it is difficult to check user-generated content on social media, huge amounts of rumors and misinformation are being spread with authentic information
Externí odkaz:
https://doaj.org/article/e2980bd89015411e9b39a05b5a23bcb5
Publikováno v:
Drones, Vol 8, Iss 10, p 559 (2024)
Preharvest crop yield estimation is crucial for achieving food security and managing crop growth. Unmanned aerial vehicles (UAVs) can quickly and accurately acquire field crop growth data and are important mediums for collecting agricultural remote s
Externí odkaz:
https://doaj.org/article/84007bdd85b3478ca559eb70e7700fb5
Publikováno v:
Sensors, Vol 24, Iss 14, p 4557 (2024)
The unsafe action of miners is one of the main causes of mine accidents. Research on underground miner unsafe action recognition based on computer vision enables relatively accurate real-time recognition of unsafe action among underground miners. A d
Externí odkaz:
https://doaj.org/article/e2654ee2cba749b294950cec3762187d