Novel Aggregation Framework for Electric Bus Fleet Scheduling by Maros Janovec, Milan Straka, Michal Kohani, Lubos Buzna

“…The efficiency of our framework was evaluated by comparing it with the average objective function and average computation time achieved by a genetic algorithm without aggregation and an exact solution, if possible. …”
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Adaptive Blind Stokes-Space Based Equalizer for RSOP in SV-DD Systems With High Chromatic Dispersion Tolerance by Yu Jin, Di Li, Pin Yi, Mengfan Cheng, Songnian Fu, Ming Tang, Deming Liu, Lei Deng

“…It is worth noticing that not only CD but also high-order modulation formats could not change the paraboloid distribution. Therefore, our algorithm has strong robustness to CD and good suitability for SV-DD systems with different modulation formats. …”
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Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models by Benedictor Alexander Nguchu, Benedictor Alexander Nguchu, Yifei Han, Yanming Wang, Peter Shaw

“…We use machine learning (ML) algorithms, including Random Forest, Logistic Regression, and Support Vector Machine, to evaluate the diagnostic power of the brain features and network patterns in differentiating the PD subtypes and distinguishing PD from HC. …”
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Robotized 3D Scanning and Alignment Method for Dimensional Qualification of Big Parts Printed by Material Extrusion by Juan Carlos Antolin-Urbaneja, Rakel Pacheco Goñi, Nerea Alberdi Olaizola, Ana Isabel Luengo Pizarro

“…The results assure that more than 95.50% of the evaluated points of each reconstructed point cloud differed by more than one millimetre from the theoretical model.…”
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Different environmental factors predict the occurrence of tick-borne encephalitis virus (TBEV) and reveal new potential risk areas across Europe via geospatial models by Patrick H. Kelly, Rob Kwark, Harrison M. Marick, Julie Davis, James H. Stark, Harish Madhava, Gerhard Dobler, Jennifer C. Moïsi

“…Conclusions This study shows how varying environmental factors drive the occurrence of TBEV within different European regions and identifies potential new risk areas for TBE. …”
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Acceleration of Image Classification and Object Tracking by the Intel Neural Compute Stick 2 with Power Efficiency Evaluation on Raspberry Pi 4B by Tianyu Gao, Jozsef Suto

“…A single model is used for image recognition, while two models are deployed for object tracking. These test cases evaluate the performance of the execution hardware by varying the different number of models in different application scenarios and evaluating the impact of NCS2 acceleration under various conditions. …”
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Evolving Spiking Neural Network Model for PM2.5 Hourly Concentration Prediction Based on Seasonal Differences: A Case Study on Data from Beijing and Shanghai by Hengyuan Liu, Guibin Lu, Yangjun Wang, Nikola Kasabov

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Application of Collective Intelligence of Artificial Bee Colony Algorithm in Optimization of Estimation and Zoning of Wind Erosion Intensity Using Geomorphological data (Case Study... by Mehdi Saghafi, Moohamadali Moodaresi

“…The experimental models depend on components rated in defined ranges, and then evaluate the amount of erosion. Experimental models’ components are rated using field information and expert opinions; due to different expert experiences and also variety of input components, there is no consensus. …”
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Performance evaluation of an optimized simplified nonlinear active disturbance rejection controller for rotor current control of DFIG-based wind energy system by Ahmed Sobhy, Medhat Hegazy Elfar, Ahmed Refaat, Mahmoud Fawzi

“…The SNADR controller's performance is evaluated against traditional PI and linear active disturbance rejection (LADR) controllers through MATLAB simulations under different operating conditions. …”
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Research on Multi-Channel Spectral Prediction Model for Printed Matter Based on HMSSA-BP Neural Network by Dandan Fan, Hongwu Zhan, Fang Xu, Yifei Zou, Yankang Zhang

“…Second, Hybrid Multi-strategy Sparrow Search Algorithm (HMSSA) is constructed to optimize BPNN, which combines Tent mapping, step size phased control, and chaotic cosine transform factor. …”
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Visceral obesity anthropometric indicators as predictors of acute pancreatitis severity by Kaier Gu, Wenxuan Shang, Dingzhou Wang

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Enhanced mask R-CNN for luminaire detection through brightness balancing and distribution-guided optimization in tunnels by Xiaoqiong Qin, Bintao Xu, Chenchen Wang, Lirui Liu, Linfu Xie, Rong Liu, Mingwei Hu, Xiangsheng Chen

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Fourier Analysis of CMFD Method in Cylindrical Geometry by WEN Yuchen, HAO Chen, WANG Yizhen

“…The coarse mesh finite difference (CMFD) method has been widely adopted as an acceleration algorithm for neutron transport calculations, effectively reducing computational costs and improving convergence. …”

SCORE2 cardiovascular risk stratification of an urban adult population sample and evaluation of its effectiveness based on 5-year follow-up by A. R. Zairova, A. N. Rogoza, E. V. Oshchepkova, S. A. Shalnova, I. A. Trubacheva, V. S. Kaveshnikov, S. A. Boytsov

“…To study the effectiveness of cardiovascular risk (CVR) stra­tification using the systematic coronary risk evaluation 2 (SCORE2) in a Tomsk adult population sample based on 5-year follow-up.Material and methods. …”
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Technical note: “U–Th Analysis” – open-source software dedicated to MC-ICP-MS U-series data treatment and evaluation by I. K. Kerber, F. Kontor, A. Mielke, A. Mielke, S. Warken, S. Warken, N. Frank

“…The performance of our evaluation software is demonstrated by a case study from a Puerto Rican stalagmite with growth phases from the modern era to 40 kyr old. …”
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Performance Evaluation of Image Segmentation Using Dual-Energy Spectral CT Images with Deep Learning Image Reconstruction: A Phantom Study by Haoyan Li, Zhenpeng Chen, Shuaiyi Gao, Jiaqi Hu, Zhihao Yang, Yun Peng, Jihang Sun

“…The images at 10 mGy reconstructed with 50% adaptive statistical iterative reconstruction veo (ASIR-V50%) were used to train an image segmentation model based on U-Net. The evaluation set used 5 mGy VMIs reconstructed with various reconstruction algorithms: FBP, ASIR-V50%, ASIR-V100%, deep learning image reconstruction (DLIR) with low (DLIR-L), medium (DLIR-M), and high (DLIR-H) strength levels. …”
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Effectiveness evaluation of combining SAR and multiple optical data on land cover mapping of a fragmented landscape in a cloud computing platform by Giovanni Romano, Giovanni Francesco Ricci, Francesco Gentile

“…A supervised pixel-based classification was performed, using a Random Forest (RF) machine learning algorithm, to classify the imagery and derived spectral indices into eight land cover classes. …”
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Selection and evaluation of reference genes for expression analysis using quantitative real-time PCR in the Asian Ladybird Harmonia axyridis (Coleoptera: Coccinellidae). by Cheng Qu, Ran Wang, Wunan Che, Xun Zhu, Fengqi Li, Chen Luo

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Implementing semiclassical Szegedy walks in classical-quantum circuits for homomorphic encryption by Sergio A Ortega, Pablo Fernández, Miguel A Martin-Delgado

“…We also investigate the $T/T^{\dagger}$ -gate complexity associated with various quantum walks, particularly Szegedy quantum and semiclassical algorithms, demonstrating efficient homomorphic implementations across different graph structures. …”
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Development and Evaluation of Machine Learning Models for Air-to-Land Temperature Conversion Using the Newly Established Kunlun Mountain Gradient Observation System by Yongkang Li, Qing He, Yongqiang Liu, Amina Maituerdi, Yang Yan, Jiao Tan

“…We constructed a conceptual model to explore the relationship between 1.5 m TA and LST and instantiated it using three machine learning algorithms: Support Vector Machine (SVR), Convolutional Neural Network (CNN), and CatBoost. …”
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