Zobrazeno 1 - 10
of 247
pro vyhledávání: '"AI algorithms"'
Publikováno v:
Meitan kexue jishu, Vol 52, Iss 11, Pp 163-173 (2024)
The solid backfilling mining method has great advantages in handling coal-based solid waste and controlling surface subsidence, but its low backfilling efficiency, long succession time and high labour intensity constrain the development of green back
Externí odkaz:
https://doaj.org/article/f956b89c0add458fa0d435696c1a0678
Publikováno v:
Open Geosciences, Vol 16, Iss 1, Pp 1315-20 (2024)
This study focuses on slope stability analysis, a critical process for understanding the conditions, durability, mass properties, and failure mechanisms of slopes. The research specifically addresses rotational-type failure, the primary instability m
Externí odkaz:
https://doaj.org/article/3ad0f2b4b4a3486386d56843fe6bcfe3
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Spinal deformities, including adolescent idiopathic scoliosis (AIS) and adult spinal deformity (ASD), affect many patients. The measurement of the Cobb angle on coronal radiographs is essential for their diagnosis and treatment planning. To
Externí odkaz:
https://doaj.org/article/42086fc133ea4a47a11506cdf21fe150
Autor:
Rakesh Kumar Sahoo, Krushna Chandra Sahoo, Girish Chandra Dash, Gunjan Kumar, Santos Kumar Baliarsingh, Bhuputra Panda, Sanghamitra Pati
Publikováno v:
Frontiers in Oral Health, Vol 5 (2024)
ObjectiveOral cancer is a widespread global health problem characterised by high mortality rates, wherein early detection is critical for better survival outcomes and quality of life. While visual examination is the primary method for detecting oral
Externí odkaz:
https://doaj.org/article/b5e43686be6943f8b08ee4d8bd71fc7e
Publikováno v:
Scientific Journal of Silesian University of Technology. Series Transport, Vol 123, Pp 101-131 (2024)
The F-16 aircraft, widely used by the Polish Army Air Force, requires modifications based on Artificial Intelligence (AI) algorithms to enhance its combat capabilities and performance. This study aims to develop comprehensive guidelines for this purp
Externí odkaz:
https://doaj.org/article/b94a1667076243899db449155369dada
Publikováno v:
Industrial Psychiatry Journal, Vol 33, Iss Suppl 1, Pp S265-S267 (2024)
Diagnostic and interventional aspects of psychiatric care can be augmented by the use of digital health technologies. Recent studies have tried to explore the use of artificial intelligence-driven technologies in screening, diagnosing, and treating p
Externí odkaz:
https://doaj.org/article/002832a1a28845d385dc0a1baaf01913
Hydrogel based flexible wearable sweat sensor for SERS-AI monitoring treatment effect of lung cancer
Autor:
Chen, Zhaoxian a, c, 1, Liu, Shihong b, c, 1, Yu, Wenrou a, c, Wang, Li b, c, Lv, Fengxue a, c, Yang, Liejun b, c, Yu, Huiqing b, c, ⁎, Shi, Haiyang a, c, Huang, Yingzhou a, c, ⁎⁎
Publikováno v:
In Sensors and Actuators: B. Chemical 15 March 2025 427
Prediction of oil and gas pipeline failures through machine learning approaches: A systematic review
Publikováno v:
Energy Reports, Vol 10, Iss , Pp 1313-1338 (2023)
Pipelines are vital for transporting oil and gas, but leaks can have serious consequences such as fires, injuries, pollution, and property damage. Therefore, preserving pipeline integrity is crucial for a safe and sustainable energy supply. The rapid
Externí odkaz:
https://doaj.org/article/b015f39c546149ff8fbaa32c443ed8d9
Autor:
Quentin Auster, Omar Almetwali, Tong Yu, Alyssa Kelder, Seyed Mehdi Nouraie, Tamerlan Mustafaev, Belinda Rivera-Lebron, Michael G. Risbano, Jiantao Pu
Publikováno v:
Bioengineering, Vol 11, Iss 11, p 1062 (2024)
Objectives: To evaluate the prognostic utility of CT-imaging-derived biomarkers in distinguishing acute pulmonary embolism (PE) resolution and its progression to chronic PE, as well as their association with clot burden. Materials and Methods: We uti
Externí odkaz:
https://doaj.org/article/92f212e63c7a4dd2946076f16d083405
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4570 (2024)
Determining the appropriate sample size is crucial in clinical studies due to the potential limitations of small sample sizes in detecting true effects. This work introduces the use of Wasserstein Generative Adversarial Networks (WGANs) to create vir
Externí odkaz:
https://doaj.org/article/404692b1136445639364fc8f95eca027