Results 31 to 40 of about 6,737,352 (322)

Graphic Symbol Recognition using Graph Based Signature and Bayesian Network Classifier

, 2009
We present a new approach for recognition of complex graphic symbols in technical documents. Graphic symbol recognition is a well known challenge in the field of document image analysis and is at heart of most graphic recognition systems. Our method uses
Brouard, Thierry, Luqman, Muhammad Muzzamil, Ramel, Jean-Yves   +2 more
core   +2 more sources

A modular self-assembled sensing system for heavy metal ions with tunable sensitivity and selectivity [PDF]

, 2017
Here we describe a self-assembled sensing system composed of three separate modules: gold nano particles, a reporter element, and a recognition element. The gold nanoparticles serve as a multivalent platform for the interaction with both the reporter and
Maiti, Subhabrata, Prins, Leonard J.
core   +1 more source

A Quality Improvement Initiative to Standardize Pneumocystis jirovecii Pneumonia Prophylaxis in Pediatric Patients With Solid Tumors

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric patients with extracranial solid tumors (ST) receiving chemotherapy are at an increased risk for Pneumocystis jirovecii pneumonia (PJP). However, evidence guiding prophylaxis practices in this population is limited. A PJP‐related fatality at our institution highlighted inconsistent prescribing approaches and concerns about
Kriti Kumar, Denise M. Connolly, Ellen Kellington, Elyse Zelunka, Karla Kerrigan, Furqan Shaikh, Paul C. Nathan, Meredith S. Irwin, Sarah Cohen‐Gogo   +8 more
wiley   +1 more source

FIN-PRINT a fully-automated multi-stage deep-learning-based framework for the individual recognition of killer whales

Scientific Reports, 2021
Biometric identification techniques such as photo-identification require an array of unique natural markings to identify individuals. From 1975 to present, Bigg’s killer whales have been photo-identified along the west coast of North America, resulting ...
Christian Bergler, Alexander Gebhard, Jared R. Towers, Leonid Butyrev, Gary J. Sutton, Tasli J. H. Shaw, Andreas Maier, Elmar Nöth   +7 more
doaj   +1 more source

Exploring Misclassification Information for Fine-Grained Image Classification

Sensors, 2021
Fine-grained image classification is a hot topic that has been widely studied recently. Many fine-grained image classification methods ignore misclassification information, which is important to improve classification accuracy.
Da-Han Wang, Wei Zhou, Jianmin Li, Yun Wu, Shunzhi Zhu   +4 more
doaj   +1 more source

Pazopanib Combined With Vincristine and Irinotecan in Relapsed Wilms Tumor: Encouraging Outcomes in a Heavily Pretreated Pediatric Cohort

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background While Wilms tumor (WT) typically has a favorable prognosis, relapsed cases—especially those with high‐risk histology—remain therapeutically challenging after intensive frontline therapy. The combination of vincristine and irinotecan has demonstrated activity in pediatric solid tumors, and pazopanib, a multi‐targeted tyrosine kinase ...
Maria Debora De Pasquale, Alessandro Crocoli, Giuseppe Maria Milano, Pierluigi Di Paolo, Francesca Diomedi Camassei, Ida Russo, Annalisa Serra   +6 more
wiley   +1 more source

Reviewer Recognition [PDF]

International Journal of Impotence Research, 2020
In this issue we would like to thank all those listed below for taking the time to review for IJIR: Your Sexual Medicine Journal in 2019 - your generosity is much appreciated and we hope your association with the journal continues in the future.
openaire   +4 more sources

Week-Ahead Water Demand Forecasting Using Convolutional Neural Network on Multi-Channel Wavelet Scalogram

Engineering Proceedings
Water management is vital for building an adaptive and resilient society. Water demand forecasting aids water management by learning the underlying relationship between consumption and governing variables for optimal supply.
Adithya Ramachandran, Hatem Mousa, Andreas Maier, Siming Bayer   +3 more
doaj   +1 more source

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus, Floortje Strobbe, Annemarie A. Verrijn Stuart, Hanneke M. van Santen, Gerlof D. Valk, Sasja A. Schepers, Rachel S. van Leeuwaarde   +6 more
wiley   +1 more source

Empathetic Deep Learning: Transferring Adult Speech Emotion Models to Children With Gender-Specific Adaptations Using Neural Embeddings

Human-Centric Intelligent Systems
Understanding and recognizing emotional states through speech has vast implications in areas ranging from customer service to mental health. In this paper, we investigate the relationship between adults and children for the task of automatic speech ...
Elina Lesyk, Tomás Arias-Vergara, Elmar Nöth, Andreas Maier, Juan Rafael Orozco-Arroyave, Paula Andrea Perez-Toro   +5 more
doaj   +1 more source