Terrain and individual tree vertical structure-based approach for point clouds co-registration by UAV and Backpack LiDAR by Tingwei Zhang, Xin Shen, Lin Cao

“…Tree-level structural parameters estimation plays a key role in the researches and practice in sustainable forest management, carbon storage estimation, as well as ecological function evaluation. However, single Light Detection and Ranging (LiDAR) platform exhibits limitations when acquiring complete (i.e., including over-story and under-story) point cloud data for forest stands, e.g., UAV LiDAR systems tend to overlook details of the tree trunk or the lower ground, while Backpack LiDAR systems struggle to capture the treetop, etc. …”
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Urban Microcirculation Traffic Network Planning Method Based on Fast Search Random Tree Algorithm by Ning YU

“…The interpolation collision detection method is used to determine the shortest path while considering constraint conditions. …”
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Comprehensive evaluation of the response relationship between meteorological drought and hydrological drought in the Yalong River Basin, China by Yunliang Wen, Ling Kang, Liwei Zhou, Wufeng Liao, Xuye Guo

“…The results showed that: (1) The smaller the scale of SPEI and SRI, the more sensitive the identification of drought and the faster the detection of drought trend changes. (2) Combined with small-scale drought index analyses, the trend and severity of meteorological and hydrological droughts propagating from the upper and middle reaches to the lower reaches is increasing from year to year. (3) The Gumbel-Hougaard Copula function reveals the relationship between meteorological and hydrological drought, with the longest joint return period of 13–15 months. (4) In cloud model risk evaluation, the degree, uncertainty and stochasticity of drought risk in the basin are increasing, and the risk degree of interannual meteorological and seasonal hydrological droughts in the basin was high. …”
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COMIX: Generalized Conflict Management in O-RAN xApps—Architecture, Workflow, and a Power Control Case by Anastasios E. Giannopoulos, Sotirios T. Spantideas, George Levis, Alexandros S. Kalafatelis, Panagiotis Trakadas

“…Central to its architecture are xApps hosted on the Near-Real-Time RAN Intelligent Controller (Near-RT RIC), which optimize network functions in real time. However, the concurrent operation of multiple xApps with conflicting objectives can lead to suboptimal performance. …”
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Assessment of the Integrated Communicable Disease Surveillance and Response System in Thamar Governorate, Yemen by Basem F. Abdel-Aziz, Saddam A.H. Al-Nahari, Ali A. Al-Waleedi, Shymaa M. Elshoura

“…The questionnaire included two sections: assessment of core activities of the IDSR system (structure, case confirmation, data reporting, data analysis, outbreak investigation, epidemic preparedness, epidemic responses, feedback) and assessment of support functions of the IDSR system (supervision, training, coordination, logistics and resources). …”

Multi-model deep learning approach for the classification of kidney diseases using medical images by Waleed Obaid, Abir Hussain, Tamer Rabie, Dhafar Hamed Abd, Wathiq Mansoor

“…This research paper leveraged a deep learning approach to address the worldwide shortage of urologists by facilitating the detection of kidney diseases. A novel deep learning technique is proposed using Darknet53 for the classification of kidney diseases using a large dataset gathered from five resources. …”
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Discriminant canonical analysis as a tool to determine traces of endangered native hen breed introgression through egg hatchability phenomics by Antonio González Ariza, Francisco Javier Navas González, Ander Arando Arbulu, José Manuel León Jurado, Juan Vicente Delgado Bermejo, María Esperanza Camacho Vallejo

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SOE: A Multi-Objective Traffic Scheduling Engine for DDoS Mitigation with Isolation-Aware Optimization by Mingwei Zhou, Xian Mu, Yanyan Liang

“…Distributed Denial-of-Service (DDoS) attacks generate deceptive, high-volume traffic that bypasses conventional detection mechanisms. When interception fails, effectively allocating mixed benign and malicious traffic under resource constraints becomes a critical challenge. …”
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Mechanisms of Zooplankton Community Assembly and Their Associations with Environmental Drivers in Arid-Region Reservoirs of Northwest China by Xuelian Qiu, Fangze Zi, Long Yun, Qiang Huo, Liting Yang, Yong Song, Shengao Chen

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Integrated Waveform Design of Radar and Communication Based on Chirp-rate Hopping Modulation by G. Q. Zhang, X. Rao, J. L. Fu, W. W. Hu, J. F. Hu

“…The increasing demand for spectrum resources and the need for reducing the burden of modern electronic combat platforms have prompted the development of integrated radar and communication systems. …”
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Attention-Module-Guided Time-Lapse Leakage Plume Imaging Driven by LeakInv-CUNet GPR Inversion Framework by Honghua Wang, Shan Wang, Fei Zhou, Yi Lei, Bin Zhang

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Evaluation of response to a cholera outbreak in January 2024 using the 7–1–7 timeliness metrics: a case study of Elegu Point of Entry, Uganda by Innocent Ssemanda, Brian Kibwika, Ritah Namusoosa, Benon Kwesiga, Lilian Bulage, Richard Migisha, Alex Riolexus Ario

“…Achieving the 7–1–7 targets highlighted the country’s-built capacity to detect, notify, and respond to such events. Continued investment in local-level disease detection, communication, and national-level resource mobilization will be crucial to sustaining future effective cross-border outbreak prevention and control strategies.…”
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Deformable Feature Fusion and Accurate Anchors Prediction for Lightweight SAR Ship Detector Based on Dynamic Hierarchical Model Pruning by Yue Guo, Shiqi Chen, Ronghui Zhan, Wei Wang, Jun Zhang

“…Moreover, the large number of parameters in CNNs restricts their deployment on platforms with limited resources. To address these challenges, this article proposes a novel SAR ship detection network called DFES-Net, which incorporates deformable feature fusion and accurate anchor prediction to enhance detection performance. …”
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Combining first principles and machine learning for rapid assessment response of WO3 based gas sensors by Ran Zhang, Guo Chen, Shasha Gao, Lu Chen, Yongchao Cheng, Xiuquan Gu, Yue Wang

“…The rapid advancement of gas sensitive properties in metal oxides is crucial for detecting hazardous gases in industrial and coal mining environments. …”
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Review of the application of vegetation remote sensing by SHEN Guang-rong, WANG Ren-chao

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Analysis of microsatellite and single nucleotide polymorphism within transcriptomic database in Cymbidium ensi folium by Li Xiaobai, Xiang Lin, Luo Jie, Qin Dehui, Sun Chongbo

“…Owing to the lack of its genomic resource, the development and application of molecular marker is still limited. …”
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Scalable Video Processing and Frame Analysis System for Automated Monitoring of Chicken Behavior Based on Artificial Intelligence Technologies by Svitlana Antoshchuk, Oleksii Danchuk, Tetiana Kunup

“…The software architecture ensures convenient scalability and functionality expansion through the addition of agents and services. …”
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Battery Management System: Threat Modeling, Vulnerability Analysis, and Cybersecurity Strategy by Shravan Murlidharan, Varsha Ravulakole, Jyothi Karnati, Hafiz Malik

“…Unauthorized access or tampering with the BMS can disrupt its fault response mechanisms, jeopardizing system performance and associated resources. Key cybersecurity strategies include intrusion detection systems (IDS), crypto-based authentication, secure firmware updates, and hardware-based security mechanisms such as trusted platform modules (TPMs). …”
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Enhancing epidemic preparedness: a data-driven system for managing respiratory infections by Moslem Sarani, Katayoun Jahangiri, Manoochehr Karami, Mohammadreza Honarvar

“…Results Key data categories include individual-level variables, such as age, symptoms, and vaccination records, alongside population-level metrics like infection rates and regional vaccination coverage enabling functionalities such as identifying high-risk individuals, tracking infection dynamics, and optimizing resource allocation. …”
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Analysis of China’s High-Speed Railway Network Using Complex Network Theory and Graph Convolutional Networks by Zhenguo Xu, Jun Li, Irene Moulitsas, Fangqu Niu

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