Results 51 to 60 of about 19,743 (267)

Interactive Prompt‐Guided Robotic Grasping for Arbitrary Objects Based on Promptable Segment Anything Model and Force‐Closure Analysis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A laser pointer‐guided robotic grasping method for arbitrary objects based on promptable segment anything model and force‐closure analysis is presented. Grasp generation methods based on force‐closure analysis can calculate the optimal grasps for objects through their appearances. However, the limited visual perception ability makes robots difficult to
Yan Liu, Yaxin Liu, Ruiqing Han, Kai Zheng, Yufeng Yao, Ming Zhong   +5 more
wiley   +1 more source

Artificial Intelligence in Robotic Manipulators: Exploring Object Detection and Grasping Innovations

Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ
The importance of deep learning has heralded transforming changes across different technological domains, not least in the enhancement of robotic arm functionalities of object detection’s and grasping.
Montassar Aidi Sharif, Hanan Hameed Ismael, Muamar Almani Jasim, Farah Zuhair Jasim   +3 more
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

Archaeological 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, Hector A. Orengo, Felipe Lumbreras Ruiz, Iban Berganzo‐Besga, Ekta Gupta   +4 more
wiley   +1 more source

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

Promet (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

Bayesian inverse ensemble forecasting for COVID‐19

Canadian 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

Artificial Intelligence‐Assisted Wireless Handheld Ultrasound for Screening Developmental Dysplasia of the Hip in Infants

Journal of Ultrasound in Medicine, EarlyView.
Objectives Ultrasonography is increasingly the preferred method for infant hip screening to enable timely diagnosis and treatment of developmental dysplasia of the hip (DDH). However, its reliance on experienced specialists and bulky equipment limits its application in routine screening, particularly in resource‐limited and remote settings. We aimed to
Dandan Zhang, Simiao Tao, Ping Chen, Jiangtao Wang, Yu Yang, Xiuxiu Zhang, Tieqiang Wang, Hailin Pan, Jiong Chen, Baoying Ye   +9 more
wiley   +1 more source

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

International 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, Behzad Totakhaneh Bonab, Morteza Homayoun Sadeghi, Mir Mohammad Ettefagh, Mohammad Reza Chalak Qazani   +4 more
wiley   +1 more source

CA-YOLO: Cross Attention Empowered YOLO for Biomimetic Localization

IEEE Transactions on Circuits and Systems for Video Technology
This work has been submitted to the IEEE for possible publication.Please note that once the article has been published by IEEE, preprints on locations not specified above should be removed if ...
Zhen Zhang, Qing Zhao, Xiuhe Li, Cheng Wang, Guoqiang Zhu, Yu Zhang, Yining Huo, Hongyi Yu, Yi Zhang   +8 more
openaire   +2 more sources

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

People 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

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

مجله 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, مسعودرضا آقا بزرگی   +1 more
doaj   +1 more source