Results 11 to 20 of about 98,341 (247)

A Baseline for Cross-Database 3D Human Pose Estimation

Sensors, 2021
Vision-based 3D human pose estimation approaches are typically evaluated on datasets that are limited in diversity regarding many factors, e.g., subjects, poses, cameras, and lighting.
Michał Rapczyński, Philipp Werner, Sebastian Handrich, Ayoub Al-Hamadi   +3 more
doaj   +1 more source

Generalized Symmetries for Generalized Gravitons

Physical Review Letters, 2023
Construimos simetrías generalizadas para la gravedad de Einstein linealizada en dimensiones arbitrarias. Las consideraciones de primer principio en la teoría cuántica de campos obligan a que las simetrías generalizadas aparezcan en pares duales. Verificar esta predicción nos ayuda a encontrar el conjunto completo de cargas conservadas no triviales ...
Valentín Benedetti, Pablo Bueno, Javier M. Magán   +2 more
openaire   +4 more sources

An Efficient AdaBoost Algorithm with the Multiple Thresholds Classification

Applied Sciences, 2022
Adaptive boost (AdaBoost) is a prominent example of an ensemble learning algorithm that combines weak classifiers into strong classifiers through weighted majority voting rules. AdaBoost’s weak classifier, with threshold classification, tries to find the
Yi Ding, Hongyang Zhu, Ruyun Chen, Ronghui Li   +3 more
doaj   +1 more source

Sixth-grade students’ pattern generalization approaches [PDF]

Journal of Pedagogical Research, 2023
This study investigates sixth-grade Turkish students’ pattern-generalization approaches among arithmetical generalization, algebraic generalization, and naïve induction. A qualitative case study design was employed. The data was collected from four sixth-
Zeycan Kama, Mine Işıksal Bostan, Zelha Tunç Pekkan   +2 more
doaj   +1 more source

Transfer Learning Strategy in Neural Network Application for Underwater Visible Light Communication System

Sensors, 2022
Post-equalization using neural network (NN) is a promising technique that models and offsets the nonlinear distortion in visible light communication (VLC) channels, which is recognized as an essential component in the incoming 6G era.
Zengyi Xu, Jianyang Shi, Wenqing Niu, Guojin Qin, Ruizhe Jin, Zhixue He, Nan Chi   +6 more
doaj   +1 more source

Full-Resolution Lung Nodule Localization From Chest X-Ray Images Using Residual Encoder-Decoder Networks

IEEE Access, 2023
Lung cancer is the leading cause of cancer death, and early diagnosis is associated with a positive prognosis. Chest X-ray (CXR) provides an inexpensive imaging mode for lung cancer diagnosis.
Michael J. Horry, Subrata Chakraborty, Biswajeet Pradhan, Manoranjan Paul, Jing Zhu, Prabal Datta Barua, Hasan Saeed Mir, Fang Chen, Jianlong Zhou, U. Rajendra Acharya   +9 more
doaj   +1 more source

Teachers as actors in an educational design research: What is behind the generalized formula?

LUMAT, 2019
Educational design research provides opportunities for both the theoretical understanding and practical explanations of teaching. In educational design research, mathematics teachers’ learning is essential.
Helén Elisabeth, Kristina Sterner
doaj   +1 more source

Multi-UAV Cooperative Offensive Combat Intelligent Planning Based on Deep Reinforcement Learning

Hangkong gongcheng jinzhan, 2022
Unmanned aerial vehicle(UAV)with the advantages of high effectiveness and flexible autonomy has gradually replaced manned aircraft to combat,and multi-UAV cooperative combat mission planning becomes the hot research issue.An end-to-end cooperative attack
LI Junsheng, YUE Longfei, ZUO Jialiang, YU Lixin, ZHAO Jiale   +4 more
doaj   +1 more source

Toward Generalization of Deep Learning-Based Plant Disease Identification Under Controlled and Field Conditions

IEEE Access, 2023
Identifying corn diseases under field conditions is crucial for implementing effective disease management systems. Deep learning (DL)-based plant disease identification using deep neural networks (DNN) has been successfully implemented in recent years ...
Aanis Ahmad, Aly El Gamal, Dharmendra Saraswat   +2 more
doaj   +1 more source

A Generalized Deep Learning-Based Method for Rapid Co-Seismic Landslide Mapping

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The rapid mapping of co-seismic landslides is essential for emergency management and loss assessment. Deep learning algorithms generally follow a supervised learning workflow, where the trained model is used to predict landslides in surrounding areas ...
Jing Yang, Mingtao Ding, Wubiao Huang, Zhenhong Li, Zhengyang Zhang, Jing Wu, Jianbing Peng   +6 more
doaj   +1 more source