Results 41 to 50 of about 1,306,132 (242)

Lightweight Detection Method of Wheelset Tread Defects Based on Improved YOLOv7

Applied Sciences
Accurate online inspection of train wheelset tread defects is challenging owing to the variety and position uncertainty of defects. This study develops an improved YOLOv7 model capable of inspecting various wheelset tread defects with high accuracy and ...
Peng Yang, Fan Gao, Xinwen Yang, Caidong Wang, Hongjun Yang, Zhifeng Zhang   +5 more
doaj   +1 more source

YOLOv5s_2E: Improved YOLOv5s for Aerial Small Target Detection

IEEE Access, 2023
To address the issues of low accuracy in existing small object detection algorithms, an improved network model algorithm called YOLOv5s_2E is proposed.
Tao Shi, Yao Ding, Wenxu Zhu
doaj   +1 more source

Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers

, 2018
This paper improves state-of-the-art visual object trackers that use online adaptation. Our core contribution is an offline meta-learning-based method to adjust the initial deep networks used in online adaptation-based tracking.
B Babenko, D Held, H Grabner, J Schmidhuber, JF Henriques, K Zhang, L Bertinetto, M Kristan, O Russakovsky, S Hare, S Hochreiter, S Thrun, Y Wu, Y-X Wang, Z Kalal   +14 more
core   +1 more source

Real‐World Pediatric Blinatumomab Administration: Access to Outpatient Care Delivery and Impact of a Hospital‐Dispensed Model

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Blinatumomab has been shown to be highly effective for patients with pediatric B‐ALL and has recently become standard of care therapy. Due to its past use in the clinical trial setting, there is limited information available about real‐world administration.
Katelyn Oranges, Kelly A. Duffy, Sara McDonough, Evelyn Kurpiewski, R. Jennifer Randall, Allison Barz Leahy, Haley M. Newman, Joyce P. Lee, Stephen P. Hunger, Anne F. Reilly, David T. Teachey, Susan R. Rheingold, Daniel J. Zheng   +12 more
wiley   +1 more source

DYNet: A Printed Book Detection Model Using Dual Kernel Neural Networks

Sensors, 2023
Target detection has always been a hotspot in image processing/computer vision research, and small-target detection is a frequently encountered problem in the field of target detection.
Lubin Wang, Xiaolan Xie, Peng Huang, Qiang Yu   +3 more
doaj   +1 more source

Fabrication and functionalization of PCB gold electrodes suitable for DNA-based electrochemical sensing [PDF]

, 2014
The request of high specificity and selectivity sensors suitable for mass production is a constant demand in medical research. For applications in point-of-care diagnostics and therapy, there is a high demand for low cost and rapid sensing platforms ...
Dhaenens, Kristof, Gielen, An, Henry, OYF, Lundeberg, J, O'Sullivan, CK, Salvo, Pietro, Sanchez, JLA, Solnestam, BW, Vanfleteren, Jan   +8 more
core   +1 more source

Clinical Insights Into Hypercalcemia of Malignancy in Childhood

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Hypercalcemia of malignancy (HCM) is a rare but life‐threatening metabolic emergency in children that occurs in less than 1% of pediatric cancer cases, with a reported incidence ranging from 0.4% to 1.0% across different studies. While it is observed in 10%–20% of adult malignancies, pediatric HCM remains relatively uncommon.
Hüseyin Anıl Korkmaz
wiley   +1 more source

Hardware-Accelerated Infrared Small Target Recognition Based on Energy-Weighted Local Uncertainty Measure

Applied Sciences
Infrared small target detection is a key technology with a wide range of applications, and the complex background and low signal-to-noise ratio characteristics of infrared images can greatly increase the difficulty and error rate of small target ...
Xiaoqing Wang, Zhantao Zhang, Yujie Jiang, Kuanhao Liu, Yafei Li, Xuri Yao, Zixu Huang, Wei Zheng, Jingqi Zhang, Fu Zheng   +9 more
doaj   +1 more source

Space-time percolation and detection by mobile nodes [PDF]

, 2015
Consider the model where nodes are initially distributed as a Poisson point process with intensity $\lambda$ over $\mathbb{R}^d$ and are moving in continuous time according to independent Brownian motions.
Stauffer, Alexandre
core   +3 more sources

Personalized Selumetinib Dosing in Pediatric Neurofibromatosis Type 1: Insights From a Pilot Therapeutic Drug Monitoring Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács, Zoltán Köllő, Balázs Gellért Karvaly, Mahmoud Obeidat, Rita Nagy, Péter Hegyi, Brigitta Teutsch, Eszter Tuboly, Miklós Garami   +8 more
wiley   +1 more source