Results 61 to 70 of about 19,033 (238)

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

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

GY-YOLO: ghost separable YOLO for pedestrian detection

Neural Computing and Applications
Abstract In recent years, there has been impressive development in human detection. The main challenge in pedestrian detection is the training data. To assess detectors in crowd scenarios more effectively, a novel dataset in this study called the HEP dataset (Hybrid Egyptian Pedestrian dataset) is introduced. The HEP dataset is extensive, has
Ali M. Elhenidy, Labib M. Labib, Amira Y. Haikal, Mahmoud M. Saafan   +3 more
openaire   +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

Detection of Militia Object in Libya by Using YOLO Transfer Learning

Jurnal Teknologi dan Manajemen Informatika, 2020
Humans can recognize and classify shapes, names, and provide responses to object that are received by visually quickly and accurately. More importantly, it is expected that the system created is able to help provide response in all tasks and time, for ...
Yosi Kristian, Hatem Alsadeg Ali Salim, Endang Setyati   +2 more
doaj   +1 more source

From YOLO V1 to YOLO V11: comparative analysis of YOLO algorithm (review)

International Journal of Electrical and Computer Engineering (IJECE)
Object detection in images or videos faces several challenges because the detection must be accurate, efficient and fast. The you only look once (YOLO) algorithm was invented to meet these criteria. But with the creation of several versions of this algorithm (from V1 to V11), it becomes difficult for researchers to choose the best one.
Imane Beqqali Hassani, Soufia Benhida, Nabil Lamii, Khalid Oqaidi, Ahmed Ouiddad, Soukaina Ghiadi   +5 more
openaire   +1 more source

A machine learning assisted method for rapidly annotating benthic megafauna in large volumes of marine imagery

Limnology and Oceanography: Methods, EarlyView.
Abstract Recent technological advancements have rapidly expanded our capacity for collecting image data in the marine environment, but processing images into meaningful ecological metrics remains a manual, time‐consuming, and biased process. This is particularly challenging with electro‐optical cabled imaging systems which generate images at a rate ...
Katharine T. Bigham, Ada Carter
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

Matching habitat choice could be brightness‐based instead of hue‐based in green‐brown polymorphic grasshoppers

Oikos, EarlyView.
Some prey species have evolved background matching, that is they resemble their surrounding environment in terms of colour and/or brightness. When prey populations inhabit patchy environments, they may even have evolved specialised phenotypes: each phenotype matching a specific subset of patches.
Lilian Cabon, Holger Schielzeth
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