Ionospheric Prediction With High Temporal Resolution Using a Local Data Ingestion Technique Over the Chinese Region by Junchen Xue, Peng Guo, Weihua Wang

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Application of the Adaptive Mixed-Order Cubature Particle Filter Algorithm Based on Matrix Lie Group Representation for the Initial Alignment of SINS by Ning Wang, Fanming Liu

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Towards MR-Only Radiotherapy in Head and Neck: Generation of Synthetic CT from Zero-TE MRI Using Deep Learning by Souha Aouadi, Mojtaba Barzegar, Alla Al-Sabahi, Tarraf Torfeh, Satheesh Paloor, Mohamed Riyas, Palmira Caparrotti, Rabih Hammoud, Noora Al-Hammadi

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Machine learning message-passing for the scalable decoding of QLDPC codes by Arshpreet Singh Maan, Alexandru Paler

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Concatenate codes, save qubits by Satoshi Yoshida, Shiro Tamiya, Hayata Yamasaki

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Influence of ground control point reliability and distribution on UAV photogrammetric 3D mapping accuracy by Haonan Zhong, Yansong Duan, Pengjie Tao, Zuxun Zhang

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Asteroid gravitational field calculation via GeodesyNets with quadratic layers by Zhitao Fu, Weitong Li, Shanhong Liu

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An explicit forest carbon stock model and applications by Ningning Zhu, Bisheng Yang, Weishu Gong, Shen Ying, Wenxia Dai, Zhen Dong

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RUE: A robust personalized cost assignment strategy for class imbalance cost-sensitive learning by Shanlin Zhou, Yan Gu, Hualong Yu, Xibei Yang, Shang Gao

“…Traditional cost-sensitive learning approaches always solve CIL problem by assigning a constant higher training error penalty for all minority instances than that of majority instances, but ignore the significance of location information. …”
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An Application of High-Resolution Mobile Mapping in Smart Cities: Gaziosmanpasa Case Study by R. A. Kucak, İ. Yakar, İ. Buyuksalih

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Tree Top Detection in UAV Data: Evaluating Accuracy of Different Estimation Techniques by A. Hosingholizade, Y. Erfanifard, Y. Erfanifard, S. K. Alavipanah, V. García Millan, S. Pirasteh, S. Pirasteh, A. N. Arslan, A. N. Arslan

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Comparative Analysis of Ultra-Wideband and Mobile Laser Scanning Systems for Mapping Forest Trees under A Forest Canopy by Z. Liu, H. Kaartinen, T. Hakala, H. Hyyti, A. Kukko, A. Kukko, J. Hyyppa, J. Hyyppa, R. Chen

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On the Perspectives of Image-to-Lidar Constraints in Dynamic Network Optimisation by K. Mouzakidou, T. Stoltz, L. V. Jospin, D. A. Cucci, J. Skaloud

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General Framework for Georeferencing and Interpretation of Multi-Resolution LiDAR Data for Fine-Scale Forest Inventory by H. Hanafy, S.-Y. Shin, A. M. Eissa, Y. Hany, S. Park, S. Fei, A. Habib

“…Furthermore, by combining geometric information from LiDAR with the rich semantic information in captured imagery, the proposed image-LiDAR linking strategy shows its potential for tree species identification. …”
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Pedestrian Path Choice in Crowded Indoor Environments by L. Liu, S. Zlatanova, R. Xie

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Assessing the effectiveness of LiDAR-based apps on Apple devices to survey indoor and outdoor medium sized areas by D. Treccani, A. Adami, L. Fregonese

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Prediction of Aluminum Alloy Surface Roughness Through Nanosecond Pulse Laser Assisted by Continuous Laser Paint Removal by Jingyi Li, Rongfan Liang, Han Li, Junjie Liu, Jingdong Sun

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On precise path planning algorithm in wireless sensor network by Farhanda Javed, Samiullah Khan, Asfandyar Khan, Alweena Javed, Rohi Tariq, Matiullah, Faheem Khan

“…The analysis of simulation results concludes that random way point has higher performance efficiency compared to rest of the static path planning algorithms concerning location error ratio (accuracy), energy consumption, and number of references in medium and dense node density scenarios. …”
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Analysis of UAV wireless network coverage and handover performance by Bonan YIN, Mugen PENG, Chenxi LIU

“…For the characteristics of unmanned aerial vehicle (UAV),such as high mobility,adjustable height,and high probability of line-of-sight channels,which introduced multiple challenges to the design and deployment of current and future wireless network,and the networking performance of UAV was the focus and difficult issues in the industry,the network coverage and handoff performance of heterogeneous UAV wireless network was analyzed,which provided insights into UAV wireless networking.Specifically,considering the outdated channel state information introduced by the UAV’s mobility,analytical expressions of handover probability,handover error probability,and coverage probability for heterogeneous UAV wireless network were derived by utilizing the tools from stochastic geometry.In addition,the impacts of the UAV’s mobility,height,as well as the density of terrestrial base stations on the aforementioned performance metrics were investigated.It shows that the outdated channel state information caused handover error,which increases first and then decreases with the increase of UAV’s moving speed and density of base stations.Meanwhile,the impact of UAV’s flight height on coverage probability is more significant than that of moving speed.…”
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Analysis of UAV wireless network coverage and handover performance by Bonan YIN, Mugen PENG, Chenxi LIU

“…For the characteristics of unmanned aerial vehicle (UAV),such as high mobility,adjustable height,and high probability of line-of-sight channels,which introduced multiple challenges to the design and deployment of current and future wireless network,and the networking performance of UAV was the focus and difficult issues in the industry,the network coverage and handoff performance of heterogeneous UAV wireless network was analyzed,which provided insights into UAV wireless networking.Specifically,considering the outdated channel state information introduced by the UAV’s mobility,analytical expressions of handover probability,handover error probability,and coverage probability for heterogeneous UAV wireless network were derived by utilizing the tools from stochastic geometry.In addition,the impacts of the UAV’s mobility,height,as well as the density of terrestrial base stations on the aforementioned performance metrics were investigated.It shows that the outdated channel state information caused handover error,which increases first and then decreases with the increase of UAV’s moving speed and density of base stations.Meanwhile,the impact of UAV’s flight height on coverage probability is more significant than that of moving speed.…”
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