Results 71 to 80 of about 838,863 (170)

Ultra-Wideband Ranging Error Mitigation with Novel Channel Impulse Response Feature Parameters and Two-Step Non-Line-of-Sight Identification

open access: yesSensors
The effective identification and mitigation of non-line-of-sight (NLOS) ranging errors are essential for achieving high-precision positioning and navigation with ultra-wideband (UWB) technology in harsh indoor environments.
Hongchao Yang   +5 more
doaj   +1 more source

Tachyon: Enhancing stacked models using Bayesian optimization for intrusion detection using different sampling approaches

open access: yesEgyptian Informatics Journal
The integration of sensors in the monitoring of essential bodily measurements, air quality, and energy consumption in buildings demonstrates the importance of the Internet of Things (IoT) in everyday life.
T. Anitha Kumari, Sanket Mishra
doaj   +1 more source

Enhancing concrete strength for sustainability using a machine learning approach to improve mechanical performance

open access: yesScientific Reports
The construction industry faces growing pressure to adopt sustainable practices due to the environmental burden of concrete waste and the overuse of natural resources. One promising solution is the use of recycled concrete aggregate (RCA) as a partial or
Amir Khan   +5 more
doaj   +1 more source

Pattern Recognition of Partial Discharge Faults in Switchgear Using a Back Propagation Neural Network Optimized by an Improved Mantis Search Algorithm

open access: yesSensors
The dependable functioning of switchgear is essential to maintain the stability of power supply systems. Partial discharge (PD) is a critical phenomenon affecting the insulation of switchgear, potentially leading to equipment failure and accidents.
Zhangjun Fei, Yiying Li, Shiyou Yang
doaj   +1 more source

An IoT Framework for the Detection of Lung Cancer Using a Decision Support System

open access: yesTikrit Journal of Engineering Sciences
Cancer remains an ongoing global health challenge, necessitating the progress of innovative techniques for early detection and risk assessment. In this study, a comprehensive method is presented for predicting lung cancer by utilizing a carefully ...
Ahamd Habboush   +3 more
doaj   +1 more source

Predicting the risk of cardiovascular disease in adults exposed to heavy metals: Interpretable machine learning

open access: yesEcotoxicology and Environmental Safety
Machine learning exhibits excellent performance in terms of predictive power. We aimed to construct an interpretable machine learning model utilizing National Health and Nutrition Examination Survey data to investigate the relationship between heavy ...
Meiyue Shen   +8 more
doaj   +1 more source

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