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The artificial intelligence-based agricultural field irrigation warning system using GA-BP neural network under smart agriculture.
PLoS One
January 2025
School of Civil and Architectural Engineering, Harbin University, Harbin, China.
This work explores an intelligent field irrigation warning system based on the Enhanced Genetic Algorithm-Backpropagation Neural Network (EGA-BPNN) model in the context of smart agriculture. To achieve this, irrigation flow prediction in agricultural fields is chosen as the research topic. Firstly, the BPNN principles are studied, revealing issues such as sensitivity to initial values, susceptibility to local optima, and sample dependency.
View Article and Find Full Text PDFObjective: To compare the efficacy and safety of unilateral biportal endoscopic lumbar interbody fusion (UBE-LIF) and endoscopic lumbar interbody fusion (Endo-LIF) in the treatment of lumbar degenerative diseases in lumbar degenerative diseases.
Methods: A thorough literature search was conducted according to the PRISMA guidelines and the PICO framework(PROSPERO 2024CRD42024592073). The databases searched included PubMed, Embase, Web of Science, Cochrane Library, China National Knowledge Infrastructure(CNKI), and Wanfang Database, with a time frame of January 2020 to June 2024.
Beyond Serology: A Meta-Analysis of Advancements in Molecular Detection of Brucella spp. in Seronegative Animals and Biological Samples.
Vet Med Sci
January 2025
Department of Microbiology, Faculty of Veterinary and Animal Science, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh.
Background: Brucellosis is a zoonotic disease caused by Brucella spp., affecting various animals and humans, leading to significant economic and public health impacts. Traditional diagnostic methods, mainly serological, often fail to detect seronegative carriers, which continue to spread the infection.
View Article and Find Full Text PDFPractices and preferences in the use of magnification among endodontists and restorative dentists: A multicentre study.
PLoS One
January 2025
Department of Prosthetic Dental Sciences, Jouf University, Sakaka, KSA Kingdom of Saudi Arabia.
Background And Objectives: Aim of the current study was to assess the perception, preference, and practice of endodontists and restorative dentists at different locations around the world about dental magnification instruments.
Materials And Methods: A multicenter, cross-sectional study was ethically approved from the local committee of bioethics. After thorough literature search, a questionnaire was designed and validated.
SRADHO: statistical reduction approach with deep hyper optimization for disease classification using artificial intelligence.
Sci Rep
January 2025
Department of Computer Science, Kebri Dehar University, Kebri Dehar, Ethiopia.
Artificial Intelligence techniques are being used to analyse vast amounts of medical data and assist in the accurate and early diagnosis of diseases. The common brain related diseases are faced by most of the people which affects the structure and function of the brain. Artificial neural networks have been extensively used for disease prediction and diagnosis due to their ability to learn complex patterns and relationships from large datasets.
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