Development of Youth Communities in the University Ecosystem: Resources, Projects, and Risks by A. V. Kiryakova, N. A. Kargapoltseva, I. D. Belonovskaya, S. A. Duzhnikov

“…The answer to creative challenges is timely competent navigation and organizational and pedagogical support of young people for integration into socially positive communities. …”
Get full text

Sub-cellular population imaging tools reveal stable apical dendrites in hippocampal area CA3 by Jason J. Moore, Shannon K. Rashid, Emmett Bicker, Cara D. Johnson, Naomi Codrington, Dmitri B. Chklovskii, Jayeeta Basu

“…To test this, we imaged in vivo calcium signals from soma, apical dendrites, and basal dendrites in mouse hippocampal CA3 pyramidal neurons during head-fixed navigation. To capture compartment-specific population dynamics, we developed computational tools to automatically segment dendrites and extract accurate fluorescence traces from densely labeled neurons. …”
Get full text

Slip Deficit Rate and Seismic Potential on Crustal Faults in Tibet by Yanchuan Li, Xinjian Shan, Chunyan Qu, Guohong Zhang, Xuening Wang, Haicheng Xiong

“…In this study, we integrate an updated interseismic Global Navigation Satellite Systems velocity field from 4,458 stations across continental China and its surroundings to calculate surface strain rates in Tibet, which we then use to invert for slip deficit rates on 263 crustal faults (383 segments). …”
Get full text

A Light-and-Fast SLAM Algorithm for Robots in Indoor Environments Using Line Segment Map by Bor-Woei Kuo, Hsun-Hao Chang, Yung-Chang Chen, Shi-Yu Huang

“…Simultaneous Localization and Mapping (SLAM) is an important technique for robotic system navigation. Due to the high complexity of the algorithm, SLAM usually needs long computational time or large amount of memory to achieve accurate results. …”
Get full text

Deep Learning Based Proactive Caching for Effective WSN-Enabled Vision Applications by Fangyuan Lei, Jun Cai, Qingyun Dai, Huimin Zhao

“…Wireless Sensor Networks (WSNs) have a wide range of applications scenarios in computer vision, from pedestrian detection to robotic visual navigation. In response to the growing visual data services in WSNs, we propose a proactive caching strategy based on Stacked Sparse Autoencoder (SSAE) to predict content popularity (PCDS2AW). …”
Get full text

GNSS Signal Extraction Using CEEMDAN–WPD for Deformation Monitoring of Ropeway Pillars by Song Zhang, Yuntao Yang, Yilin Xie, Haoran Tang, Haiyang Li, Lianbi Yao, Yin Yang

“…Traditional surveying methods have various drawbacks in monitoring cable-stayed bridge deformations. Global Navigation Satellite System (GNSS) technology is increasingly recognized for its critical role in structural deformation monitoring, providing precise measurements for various structural applications. …”
Get full text

State of charge estimation for lithium‐ion batteries based on square root sigma point Kalman filter considering temperature variations by Davoud Mahboubi, Iraj Jafari Gavzan, Mohammad Hassan Saidi, Naghi Ahmadi

“…The main feature of the battery management system is the correct estimation of the SOC in the broad range of vehicle navigation. In this paper, to estimate real‐time of SOC in lithium‐ion batteries and overcome faults of Extended Kalman Filter (EKF), the Square‐Root Sigma Point Kalman Filter is applied on the basis of numerical approximations rather than analytical methods of EKF. …”
Get full text

Steganography in Game Actions by Ching-Chun Chang, Isao Echizen

“…As a proof of concept, we exemplify action steganography through the game of labyrinth, a navigation task where subliminal communication is concealed within the act of steering toward a destination. …”
Get full text

Location Prediction on Trajectory Data: A Review by Ruizhi Wu, Guangchun Luo, Junming Shao, Ling Tian, Chengzong Peng

“…Location prediction is the key technique in many location based services including route navigation, dining location recommendations, and traffic planning and control, to mention a few. …”
Get full text

A new adaptive fuzzy hybrid unscented Kalman/H‐infinity filter for state estimating dynamical systems by Mojtaba Masoumnezhad, Mohammad Tehrani, Alireza Akoushideh, Nader Narimanzadeh

“…Abstract State estimation and dynamical model identification from observed data has been an attractive research area with a wide range of applications such as communication, navigation, radar target tracking, and system control. …”
Get full text

Hybrid Onboard Smartphone Sensors Measurements to Improve Heading Estimation for Indoors Positioning Solutions by Haval Darwesh Abdalkarim, Halgurd Sarhang Maghdid

“…There are many indoor positioning applications, for instance; billing, shopping, security and safety, indoor navigation, entertainment applications, and other point-of-interest (POI) applications. …”
Get full text

Investigation of Structural Nonlinearity Effects on the Aeroelastic and Wake Characteristics of a 15 MW Wind Turbine by Zhenju Chuang, Lulin Xia, Yan Qu, Wenhua Li, Jiawen Li

Get full text

User Model for Virtual Learning Based on Adaptive Gamification by Intan Yusrina Zairon, Tengku Siti Meriam Tengku Wook, Syahanim Mohd Salleh, Hadi Affendy Dahlan

“…Usability test results identified areas for improvement, specifically in visual design, navigation, and user feedback. The study contributes to the field of adaptive e-learning by providing a flexible framework that can potentially improve learning outcomes and sustain student engagement in virtual learning environments. …”
Get full text

Inverse design of promising electrocatalysts for CO2 reduction via generative models and bird swarm algorithm by Zhilong Song, Linfeng Fan, Shuaihua Lu, Chongyi Ling, Qionghua Zhou, Jinlan Wang

“…Here, we present a framework named Material Generation with Efficient Global Chemical Space Search (MAGECS) that addresses this challenge by integrating the bird swarm algorithm and supervised graph neural networks, enabling effective navigation of generative models in the immense chemical space towards materials with target properties. …”
Get full text

From temporary bike lanes to a cycling oriented mobility paradigm. The case of Lyon during and after the pandemic of COVID-19 by Nathalie Ortar, Patricia Lejoux, Nicolas Ovtracht

“…Despite initial political consensus, challenges emerged, including limited public recognition of these measures as policy and criticism of safety and navigation in certain designs. Efforts to institutionalize cycling policy have reduced car dominance and expanded public transport, but socio-spatial inequalities and low engagement from working-class communities persist. …”
Get full text

Sliding Mode Control for Variable-Speed Trajectory Tracking of Underactuated Vessels with TD3 Algorithm Optimization by Shiya Zhu, Gang Zhang, Qin Wang, Zhengyu Li

“…First, considering the flexible control requirements of the vessel’s propulsion system, the desired navigation speed is designed to satisfy an S-curve acceleration and deceleration process. …”
Get full text

An FPGA-Based Omnidirectional Vision Sensor for Motion Detection on Mobile Robots by Jones Y. Mori, Janier Arias-Garcia, Camilo Sánchez-Ferreira, Daniel M. Muñoz, Carlos H. Llanos, J. M. S. T. Motta

“…The sensor is used as an omnidirectional vision system, allowing for localization and navigation tasks of mobile robots. Several image processing operations such as filtering, segmentation and morphology have been included in the processing architecture. …”
Get full text

A Design Method of Inland River Channel Based on Hydrodynamic Response of Ship by ZHANG Lei, FENG Shaoxiong, TAN Kun, GUO Tao, SONG Chengguo, CHU Xiumin, MIAO Yang

“…Dongliu route with typical navigation obstructions of curve and branch is chosen for the verification of the channel design method. …”
Get full text

BiST-SA-LSTM: A Deep Learning Framework for End-to-End Prediction of Mesoscale Eddy Distribution in Ocean by Yaoran Chen, Zijian Zhao, Yaojun Yang, Xiaowei Li, Yan Peng, Hao Wu, Xi Zhou, Dan Zhang, Hongyu Wei

“…Mesoscale eddies play a critical role in sea navigation and route planning, yet traditional prediction methods have often overlooked their spatial relationships, relying on indirect approaches to capture their distribution across extensive maps. …”
Get full text