Results 51 to 60 of about 6,691,518 (337)

Synthetic Training Datasets for Architectural Conservation: A Deep Learning Approach for Decay Detection

Remote Sensing
Architectural heritage conservation increasingly relies on innovative tools for detecting and monitoring degradation. The study presented in the current paper explores the use of synthetic datasets—namely, rendered images derived from photogrammetric ...
Giacomo Patrucco, Francesco Setragno, Antonia Spanò   +2 more
doaj   +1 more source

A knowledge distillation strategy for enhancing the adversarial robustness of lightweight automatic modulation classification models

IET Communications
Automatic modulation classification models based on deep learning models are at risk of being interfered by adversarial attacks. In an adversarial attack, the attacker causes the classification model to misclassify the received signal by adding carefully
Fanghao Xu, Chao Wang, Jiakai Liang, Chenyang Zuo, Keqiang Yue, Wenjun Li   +5 more
doaj   +1 more source

Automatic Classification Method for Software Vulnerability Based on Deep Neural Network

IEEE Access, 2019
Software vulnerabilities are the root causes of various security risks. Once a vulnerability is exploited by malicious attacks, it will greatly compromise the safety of the system, and may even cause catastrophic losses.
Guoyan Huang, Yazhou Li, Qian Wang, Jiadong Ren, Yongqiang Cheng, Xiaolin Zhao   +5 more
semanticscholar   +1 more source

Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan, Michael Abele, Calogero Virgone, Michaela Kuhlen, Ricardo Lopez‐Almarez, Tal Ben‐Ami, Ewa Bien, Maja Cesen, Malgorzata A. Krawczyk, Andrea Ferrari, Gianni Bisogno, Yves Reguerre, Dominik T. Schneider, Louise Galmiche, Jorg Fuchs, Sarah Braungart, Bilgehan Yalcin, Ines B. Brecht, Daniel Orbach   +18 more
wiley   +1 more source

Models of text mining to measure improvements to doctoral courses suggested by “STELLA” phd survey respondents

Statistica, 2014
We present Text Mining models to thematically categorise and measure the suggestions of  PhD holders on improving PhD programmes in the STELLA survey (Statistiche in TEma di Laureati e LAvoro).
Pasquale Pavone, Maria Francesca Romano
doaj   +1 more source

Deep-learning-based automatic segmentation and classification for craniopharyngiomas

Frontiers in Oncology, 2023
ObjectiveNeuronavigation and classification of craniopharyngiomas can guide surgical approaches and prognostic information. The QST classification has been developed according to the origin of craniopharyngiomas; however, accurate preoperative automatic ...
Xiaorong Yan, Bingquan Lin, Jun Fu, Shuo Li, He Wang, He Wang, Wenjian Fan, Yanghua Fan, Ming Feng, Renzhi Wang, Jun Fan, Songtao Qi, Changzhen Jiang   +12 more
doaj   +1 more source

Ovarian Sex Cord Stromal Tumors in Children and Adolescents—The European Standard Clinical Practice Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider, Kris‐Ann Schultz, Nora Schnitzler, Michael Abele, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Ines B. Brecht, Maja Cesen, Andrea Ferrari, Michaela Kuhlen, Malgorzata A. Krawczyk, Ricardo Lopez‐Almaraz, Yves Reguerre, Calogero Virgone, Daniel Orbach   +15 more
wiley   +1 more source

Experiences in Automatic Keywording of Particle Physics Literature [PDF]

, 2001
Attributing keywords can assist in the classification and retrieval of documents in the particle physics literature. As information services face a future with less available manpower and more and more documents being written, the possibility of keyword ...
Dallman, David, Montejo Ráez, Arturo, Dallman, David Peter   +2 more
core   +1 more source

Enhancing Melanoma Diagnosis in Histopathology with Deep Learning and Synthetic Data Augmentation

Bioengineering
Accurate diagnosis of melanoma using hematoxylin and eosin (H&E)-stained histological images is often challenged by the scarcity and imbalance of biomedical datasets, limiting the performance of deep learning models. This study investigates the impact of
Alex Rodriguez Alonso, Ana Sanchez Diez, Goikoane Cancho Galán, Rafael Ibarrola Altuna, Gonzalo Irigoyen Miró, Cristina Penas Lago, Mª Dolores Boyano López, Rosa Izu Belloso   +7 more
doaj   +1 more source

Classifying ground-measured 1 minute temporal variability within hourly intervals for direct normal irradiances

Meteorologische Zeitschrift, 2018
Variability of solar surface irradiances in the 1 minute range is of interest especially for solar energy applications. Eight variability classes are defined for the 1 minute resolved direct normal irradiance (DNI) variability inside an hour.
Marion Schroedter-Homscheidt, Miriam Kosmale, Sandra Jung, Jan Kleissl   +3 more
doaj   +1 more source