Results 41 to 50 of about 26,507,570 (297)

Flaw Classification Algorithm for Heat Exchanger Tubes Using a Bobbin-Type Magnetic Camera

Applied Sciences, 2019
This paper presents an algorithm that estimates the presence, location, shape, and depth of flaws using a bobbin-type magnetic camera consisting of bobbin probes and a bobbin-type integrated giant magnetoresistance (GMR) sensor array (BIGiS).
Sunbo Sim, Hoyong Lee, Heejong Lee, Jinyi Lee   +3 more
doaj   +1 more source

A Generic Plug & Produce System Composed of Semantic OPC UA Skills

IEEE Open Journal of the Industrial Electronics Society, 2021
Typical industrial workcells are composed of a plenitude of devices from various manufacturers, which rely on their own specific control interfaces. To reduce setup and reconfiguration times, a hardware-agnostic Plug & Produce system is required.
Stefan Profanter, Alexander Perzylo, Markus Rickert, Alois Knoll   +3 more
doaj   +1 more source

YOLO-World: Real-Time Open-Vocabulary Object Detection [PDF]

Computer Vision and Pattern Recognition
The You Only Look Once (YOLO) series of detectors have established themselves as efficient and practical tools. However, their reliance on predefined and trained object categories limits their applicability in open scenarios.
Tianheng Cheng, Lin Song, Yixiao Ge, Wenyu Liu, Xinggang Wang, Ying Shan   +5 more
semanticscholar   +1 more source

YOLACT: Real-Time Instance Segmentation [PDF]

IEEE International Conference on Computer Vision, 2019
We present a simple, fully-convolutional model for real-time instance segmentation that achieves 29.8 mAP on MS COCO at 33.5 fps evaluated on a single Titan Xp, which is significantly faster than any previous competitive approach.
Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee   +3 more
semanticscholar   +1 more source

Integrating Explanations into CNNs by Adopting Spiking Attention Block for Skin Cancer Detection

Algorithms
Lately, there has been a substantial rise in the number of identified individuals with skin cancer, making it the most widespread form of cancer worldwide.
Inzamam Mashood Nasir, Sara Tehsin, Robertas Damaševičius, Rytis Maskeliūnas   +3 more
doaj   +1 more source

Communication and Language Profiles of Children Treated for Posterior Fossa Brain Tumors

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cognitive and language deficits are frequently reported sequelae of posterior fossa brain tumors (PFBT). Typically, delayed onset impedes prompt assessment and early intervention. This has devastating implications for quality of life.
Zara Sved, Meghan Hesse, Jennie Cusiter, Annabel Webb, Kimberley Docking   +4 more
wiley   +1 more source

DaSAM: Disease and Spatial Attention Module-Based Explainable Model for Brain Tumor Detection

Big Data and Cognitive Computing
Brain tumors are the result of irregular development of cells. It is a major cause of adult demise worldwide. Several deaths can be avoided with early brain tumor detection.
Sara Tehsin, Inzamam Mashood Nasir, Robertas Damaševičius, Rytis Maskeliūnas   +3 more
doaj   +1 more source

Correcting for day of the week and public holiday effects: improving a national daily syndromic surveillance service for detecting public health threats

BMC Public Health, 2017
Background As service provision and patient behaviour varies by day, healthcare data used for public health surveillance can exhibit large day of the week effects. These regular effects are further complicated by the impact of public holidays.
Elizabeth Buckingham-Jeffery, Roger Morbey, Thomas House, Alex J. Elliot, Sally Harcourt, Gillian E. Smith   +5 more
doaj   +1 more source

LIGHT-WEIGHT SENSOR PACKAGE FOR PRECISION 3D MEASUREMENT WITH MICRO UAVS E.G. POWER-LINE MONITORING [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013
The paper describes a new sensor package for micro or mini UAVs and one application that has been successfully implemented with this sensor package. It is intended for 3D measurement of landscape or large outdoor structures for mapping or monitoring ...
K.-D. Kuhnert, L. Kuhnert
doaj   +1 more source

The HIT Network for Children and Adolescents With CNS Tumors Facilitates Improvements of Diagnostic Assessments, Multimodal Treatments, Individual Counseling, and Research in Germany, Austria, and Switzerland

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski, Michael C. Frühwald, Gudrun Fleischhack, Stephan Tippelt, Pablo Hernáiz‐Driever, Olaf Witt, Astrid Gnekow, Christof Kramm, Matthias Eyrich, Johannes E. A. Wolf, Hermann Müller, Carsten Friedrich, Uwe R. Kordes, Denise Obrecht‐Sturm, Petra Ketteler, Barbara von Zezschwitz, Pascal Johann, Dominik Sturm, Karoline Nemes, Stefan Schönberger, Till Milde, Brigitte Bison, Monika Warmuth‐Metz, Torsten Pietsch, Ulrich Schüller, Arend Koch, David Capper, Martin Hasselblatt, Christian Thomas, Christian Hagel, Stefan M. Pfister, Felix Sahm, David T. W. Jones, Martin U. Schuhmann, Jürgen Krauss, Pedram Emami, Ahmed El Damaty, Rolf D. Kortmann, Rudolf Schwarz, Jürgen Debus, Mechthild Krause, Fabian Pohl, Holger Ottensmeier, Lisa Bußenius, Katja Baust, Andreas Faldum, Cecile Ronckers, Desiree Grabow, Martin Benesch, Thomas Perwein, Karin Dieckmann, Irene Slavc, Johannes Gojo, Nicolas U. Gerber, André O. von Bueren, Katrin Scheinemann, Gabriele Calaminus, Beate Timmermann, Ulrich‐Wilhelm Thomale, Martin Mynarek   +59 more
wiley   +1 more source