Optimal-Transport-Based Positive and Unlabeled Learning Method for Windshear Detection by Jie Zhang, Pak-Wai Chan, Michael Kwok-Po Ng

“…To address this issue, we propose to use a positive and unlabeled learning method in this paper to identify windshear events from unreported cases based on wind velocity data collected by Doppler light detection and ranging (LiDAR) plan position indicator (PPI) scans. …”
Get full text

Research on Apple Recognition and Localization Method Based on Deep Learning by Zhipeng Zhao, Chengkai Yin, Ziliang Guo, Jian Zhang, Qing Chen, Ziyuan Gu

“…This study proposes a fusion recognition method based on improved YOLOv7 for apple growth morphology classification and fruit position. …”
Get full text

Deep Learning-Based Positioning With Multi-Task Learning and Uncertainty-Based Fusion by Anastasios Foliadis, Mario H. Castaneda Garcia, Richard A. Stirling-Gallacher, Reiner S. Thoma

“…Deep learning (DL) methods have been shown to improve the performance of several use cases for the fifth-generation (5G) New radio (NR) air interface. …”
Get full text

The LED-ID Detection and Recognition Method Based on Visible Light Positioning Using Proximity Method by Canyu Xie, Weipeng Guan, Yuxiang Wu, Liangtao Fang, Ye Cai

“…To solve these problems, in this paper, an LED-ID detection and recognition method based on visible light positioning using proximity method is propose. …”
Get full text

Feature Learning for Fingerprint-Based Positioning in Indoor Environment by Zengwei Zheng, Yuanyi Chen, Tao He, Lin Sun, Dan Chen

Get full text

Student Position and Learning Effectiveness in Different Teaching Methods in Higher Education by Nedim Čirić, Mustafa Veladžić

“…The aim of the study was to investigate the distribution of various instructional methods, the level of student participation and engagement in relation to the predominant teaching approaches, and how students evaluate the effectiveness of learning depending on the applied instructional method.The research is cross-sectional in nature and is based on a mixed methodological approach. …”
Get full text

NSGT: A Plasma Position Prediction Method for the HL-2A Tokamak Device Based on Transformer by Ling Zhou, Bin Yang, Xiangcheng Lin, Kaihao Zhu, Ziran Lan, Xiangwen Li

Get full text

Time-Frequency Analysis and Neural Network-Based Multipath Mitigation Method for Precise Positioning by Min-Ji Kim, O-Jong Kim, Jikang Lee, Changdon Kee, Juhyun Maeng

Get full text

A Tilt Receiver Correction Method for Visible Light Positioning Using Machine Learning Method by Tao Yuan, Yiqin Xu, Yong Wang, Peng Han, Junfang Chen

Get full text

Active learning for efficient data selection in radio‐signal‐based positioning via deep learning by Vincent Corlay, Milan Courcoux‐Caro

“…Abstract The problem of user equipment positioning based on radio signals is considered via deep learning. …”
Get full text

Salacca sumatrana - based project-based learning: Students' positive attitudes and critical thinking by Fitri Agustina Lubis, Yus Mochamad Cholily, Abdulkadir Rahardjanto, Yuni Pantiwati, Poncojari Wahyono

“…The aim of this research is to determine the relationship between learning models Project-Based Learning (PjBL) and the local potential of South Tapanuli for positive attitudes and critical thinking skills of students. …”
Get full text

An IMU-Based Machine Learning System for Container Collision Position Identification by Xin Zhang, Zihan Song, Do-Myung Park, Byung-Kwon Park

Get full text

Visual Positioning Detection of EMU Brake Pad Based on Deep Learning by GUAN Chunling, XU Yingjie, SONG Yuechao

“…To address the issues of low efficiency, missed and false detections in the manual inspection of EMU (electric multiple unit) brake pads, it is necessary to study visual positioning detection methods for EMU brake pads. ［Method］A visual positioning detection method for EMU brake pads based on deep learning is proposed. …”
Get full text

Sleep Posture Recognition Method Based on Sparse Body Pressure Features by Changyun Li, Guoxin Ren, Zhibing Wang

“…This study developed an economical airbag mattress and introduced a method for detecting sleeping positions via restricted body pressure data. …”
Get full text

Underground Personnel Positioning Method Based on Self-training and NLOS Suppression by SHAO Xiaoqiang, HAN Zehui, MA Bo, YANG Yongde, YUAN Zewen, LI Xin

“…The ultra-wideband signal is susceptible to non-lineof- sight (NLOS) interference, which will seriously affects the positioning accuracy. [Methods] In order to solve the problem that the existing supervised learning methods for NLOS identification and suppression require long time, labor intensive feature, and high cost became of the needs to obtain training data and label allocation, a method for underground personnel positioning based on self-training and suppression of NLOS is proposed, and a new general data fusion framework is designed. …”
Get full text

A New Pallet-Positioning Method Based on a Lightweight Component Segmentation Network for AGV Toward Intelligent Warehousing by Bin Wu, Shijie Wang, Yi Lu, Yang Yi, Di Jiang, Mengmeng Qiao

Get full text

Non-line-of-sight Visible Light Positioning System based on Deep Learning by HUANG Weijie, LIN Bangjiang, DING Yongqi, LUO Jiabin, HUANG Tianming

“…However, traditional VLP systems rely on Line-of-Sight (LOS) paths and cannot function properly when obstructed by obstacles.【Methods】To address this issue, we propose a novel Non-Line-of-Sight (NLOS) VLP system based on deep learning. …”
Get full text

Local Transmissibility-Based Identification of Structural Damage Utilizing Positive Learning Strategies by Oguz Gunes, Burcu Gunes

Get full text

Deep Learning Based Intelligent Voiceprint Recognition, Positioning, and Perception in Cable Monitoring by Yajun Huo, Kai Sun, Juan Du, Jun Liu, Yong Wang, Chun Wang, Liang Guo, Xu Cheng, Shangxiang Duan

“…This article explores the application of deep learning based intelligent voiceprint recognition for cable monitoring, positioning and perception. …”
Get full text

A Picking Point Localization Method for Table Grapes Based on PGSS-YOLOv11s and Morphological Strategies by Jin Lu, Zhongji Cao, Jin Wang, Zhao Wang, Jia Zhao, Minjie Zhang

Get full text