Results 31 to 40 of about 703,662 (260)

Design and Test of a Sorting Device Based on Machine Vision

IEEE Access, 2020
At present, the sorting of agricultural products in China mainly relies on manual labour, which results in low efficiency, and the development of corresponding automatic equipment lags behind.
Kai Zhou, Zhiwei Meng, Mingyang He, Jialin Hou, Tianhua Li   +4 more
doaj   +1 more source

Classification of Small Targets on Sea Surface Based on Improved Residual Fusion Network and Complex Time–Frequency Spectra

Remote Sensing
To address the problem that conventional neural networks trained on radar echo data cannot handle the phase of the echoes, resulting in insufficient information utilization and limited performance in detection and classification, we extend neural ...
Shuwen Xu, Xiaoqing Niu, Hongtao Ru, Xiaolong Chen   +3 more
doaj   +1 more source

Tweets Topic Classification and Sentiment Analysis Based on Transformer-Based Language Models

Vietnam Journal of Computer Science, 2023
People provide information on their thoughts, perceptions, and activities through a wide range of channels, including social media. The wide acceptance of social media results in vast volume of valuable data, in variety of format as well as veracity ...
Ranju Mandal, Jinyan Chen, Susanne Becken, Bela Stantic   +3 more
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

Space Targets with Micro-Motion Classification Using Complex-Valued GAN and Kinematically Sifted Methods

Remote Sensing, 2023
Space target classification based on micro-motion characteristics has become a subject of great interest in the field of radar, particularly when using deep learning techniques. However, in practical applications, the ability of deep learning is hampered
Lixun Han, Cunqian Feng, Xiaowei Hu
doaj   +1 more source

Utility of Computed Tomography Surveillance of Asymptomatic Infection in Children and Young Adults Before Allogeneic Hematopoietic Stem Cell Transplant

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Asymptomatic infection poses a significant risk for children undergoing hematopoietic stem cell transplantation (HSCT). Pre‐transplant surveillance computed tomography (CT) is commonly used to identify occult infection, though its diagnostic yield remains uncertain.
Tyler Obermark, Pradipta Debnath, Rama S. Ayyala, Lara A. Danziger‐Isakov, Jane Koo, Kasiani C. Myers, William R. Otto, Aki Tanimoto, Andrew T. Trout, Cara E. Morin   +9 more
wiley   +1 more source

YOLO-Based Simultaneous Target Detection and Classification in Automotive FMCW Radar Systems

Sensors, 2020
This paper proposes a method to simultaneously detect and classify objects by using a deep learning model, specifically you only look once (YOLO), with pre-processed automotive radar signals.
Woosuk Kim, Hyunwoong Cho, Jongseok Kim, Byungkwan Kim, Seongwook Lee   +4 more
doaj   +1 more source

Imaging of High‐Risk Neuroblastoma: Recommendations From SIOPEN Radiology and Nuclear Medicine Specialty Committees

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neuroblastoma is the most common extracranial solid tumor in early childhood. Its clinical behavior is highly variable, ranging from spontaneous regression to fatal outcome despite intensive treatment. The International Society of Pediatric Oncology Europe Neuroblastoma Group (SIOPEN) Radiology and Nuclear Medicine Specialty Committees ...
Annemieke Littooij, Catia Olianti, Herve Brisse, Pier Luigi Di Paolo, Maria Garganese, Tejas Kapadia, Jurgen Schaefer, Hugh Wallace, Simon Wan, Bart de Keizer, Irmina Sefic Pasic, Julian Rogasch   +11 more
wiley   +1 more source

Spectrometer‐Less Remote Sensing Image Classification Based on Gate‐Tunable van der Waals Heterostructures

Advanced Science
Remote sensing technology, which conventionally employs spectrometers to capture hyperspectral images, allowing for the classification and unmixing based on the reflectance spectrum, has been extensively applied in diverse fields, including environmental
Yali Yu, Mianzeng Zhong, Tao Xiong, Jian Yang, Pengwei Hu, Haoran Long, Ziqi Zhou, Kaiyao Xin, Yue‐Yang Liu, Juehan Yang, Jianzhong Qiao, Duanyang Liu, Zhongming Wei   +12 more
doaj   +1 more source

Effects of Cancer Treatment on Somatosensory and Nociceptive Processing in Children and Adolescents: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Chemotherapy‐induced peripheral neuropathy remains a major complication in pediatric cancer, with disrupted somatosensory and nociceptive processing being a key aspect. This review synthesizes empirical studies on alterations in somatosensory and nociceptive processing in children and adolescents with cancer.
Julia Schweiger, Laura Walz, Michael C. Frühwald, Stefan Lautenbacher, Miriam Kunz   +4 more
wiley   +1 more source