Results 51 to 60 of about 21,309 (269)

LLM‐Based Multimodal Robotic Endoscope Control Framework for Enhancing Human–Robot Interaction in Minimally Invasive Surgery

open access: yesAdvanced Intelligent Systems, EarlyView.
An large language model‐powered multimodal framework is developed for robotic endoscope control. It integrates speech recognition and real‐time instrument tracking, achieving 89.47% command accuracy with ~1s latency for natural human–robot interaction in minimally invasive surgery.
Yisen Huang   +7 more
wiley   +1 more source

Enhancing Autonomous Vehicle Navigation by Detecting Lane and Objects based on LaneNet and CustomYOLOv5

open access: yesPromet (Zagreb)
Lane and object detection are the major concerns of an autonomous vehicle’s ability to move continuously without creating any traffic congestion or collisions.
Jayamani SIDDAIYAN, Kumar PONNUSAMY
doaj   +1 more source

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka   +4 more
wiley   +1 more source

Bayesian inverse ensemble forecasting for COVID‐19

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley   +1 more source

YOLO-HF: Early Detection of Home Fires Using YOLO

open access: yesIEEE Access
Domestic fires (residential and indoor) result in substantially higher deaths compared to other types of conflagrations, making early detection crucial to minimizing the loss of life and property. Existing studies and datasets predominantly focus on wildfire detection, with few datasets that capture the complexity of indoor environments and the subtle ...
Bo Peng, Tae-Kook Kim
openaire   +3 more sources

DataEX‐Sc: A Specialized Parsing Model for Materials Science Scatter Plots Based on Multi‐Strategy Fusion and Bidirectional Optimization

open access: yesMaterials Genome Engineering Advances, EarlyView.
We present DataEX_Sc, a specialized model for parsing scatter plots, to make valuable contributions to data‐driven materials science. It improves accuracy by 0.23 (absolute F1 gain when relative error threshold = 0.02) over full‐automatic tools and boosts efficiency by 80% compared with semi‐automated tools.
Qianxue Tang   +4 more
wiley   +1 more source

تشخیص دقیق و بلادرنگ دندانه‌های باکت در شاول‌های معدن مس بر اساس مدل بهبود یافته YOLO [PDF]

open access: yesمجله مدل سازی در مهندسی
شاول نوعی از مجموعه بیل‌های مکانیکی است که در معادن روباز استفاده می‌شود. باکت شاول دارای تعدادی دندانه می‌باشد، که باعث افزایش بازدهی باکت می‌شود. تاثیر مستقیم طولانی مدت دندانه‌های باکت بر روی سنگ معدن در حین بارگیری باعث شکستگی غیرمنتظره دندانه‌ها می ...
محدثه قیاسی   +1 more
doaj   +1 more source

Detecting Loosening of Bolt‐Flanged Pipe Using Smoothed Pseudo Wigner–Ville Distribution: Digital Twin‐Based Approach Using Convolution Neural Networks

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT In this paper, an integrated digital twin‐based fault‐diagnosis framework is proposed to detect bolt loosening in flanged pipe connections. The approach combines finite element‐based numerical modeling, experimental modal analysis, and advanced signal processing‐assisted deep learning to achieve reliable loosening detection under operational ...
Milad Shabani Yousefabad   +4 more
wiley   +1 more source

Where were all the trees? Computer vision meets landscape history to unlock the potential of historical Ordnance Survey maps

open access: yesPeople and Nature, EarlyView.
Abstract The first edition of the Ordnance Survey's 1:2500 County Series is marked with treed areas, such as woodlands and orchards, and, remarkably, freestanding trees. Consequently, it is an unparalleled source of information on the distribution of trees across Britain in the mid‐late nineteenth century, when the maps were first surveyed. In order to
Toby Pillatt, William A. P. Smith
wiley   +1 more source

A Study on the Detection of Hole in Automotive CV Joint Boot Using Image Processing and AI Techniques [PDF]

open access: yes한국정밀공학회지
Detecting and analyzing defects in components or systems is crucial for maintaining high-quality standards in modern manufacturing and quality control.
Yun-Hyeok Lim, Hyeongill Lee
doaj   +1 more source

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