Research on Quantitative Safety Risk Assessment Methods at Vehicle Controllability Level by Lei He, Zichong Li, Xuezhu Yang, Yuanle Zhou, Zikun Qu, Zhiqiang Ren

“…A database of vehicle attitude data and corresponding controllability levels is established through real-vehicle tests. Feature screening is then performed to identify the most relevant attributes that significantly affect controllability. …”
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Quantitative and Correlation Analysis of Pear Leaf Dynamics Under Wind Field Disturbances by Yunfei Wang, Xiang Dong, Weidong Jia, Mingxiong Ou, Shiqun Dai, Zhenlei Zhang, Ruohan Shi

“…To address this gap, a systematic analytical framework was proposed, integrating real-time leaf segmentation and tracking, geometric feature quantification, and statistical correlation modeling. …”
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Deep Learning-Based Detection and Assessment of Road Damage Caused by Disaster with Satellite Imagery by Jungeun Cha, Seunghyeok Lee, Hoe-Kyoung Kim

“…However, a key finding of this study is that even this best-performing model is constrained by a low detection recall (0.445 ± 0.051) for the ‘damaged road’ class. …”
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A Swarm-Based Multi-Objective Framework for Lightweight and Real-Time IoT Intrusion Detection by Hessah A. Alsalamah, Walaa N. Ismail

“…On CICIoT2023, MOO-PSO-RF obtains 91.42% accuracy, whereas MOO-PSO-XGBoost obtains 98.38% accuracy. In addition, both models perform well on NSL-KDD (MOO-PSO-RF: 99.66% accuracy, MOO-PSO-XGBoost: 98.46% accuracy). …”
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Interpretation of Ornamental Compositions in the Costume Complex of the Tsarevokokshaisk Mari by Vladimir G. Kudryavtsev

“…This type of artistic creativity reflects the cosmological model of the world, initially formed in metal and ceramic products, and later their pictorial symbolism passed to embroidery. …”
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Machine learning differentiation of rheumatoid arthritis-Sjögren’s syndrome overlap from Sjögren’s syndrome with polyarthritis by Minzhi Gan, Yong Peng, Ying Ying, Keyue Zhang, Yong Chen

“…Least Absolute Shrinkage and Selection Operator (LASSO) regression facilitated feature selection before constructing diagnostic models using four machine learning algorithms, with feature importance quantified through SHapley Additive exPlanations (SHAP).ResultsThe random forest algorithm demonstrated superior performance (AUC=0.854, 95% CI: 0.747-0.944) compared to other machine learning algorithms. …”
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Temporally-consistent koopman autoencoders for forecasting dynamical systems by Indranil Nayak, Ananda Chakrabarti, Mrinal Kumar, Fernando L. Teixeira, Debdipta Goswami

“…This is achieved through a consistency regularization term that enforces prediction coherence across different time steps, thus enhancing the robustness and generalizability of tcKAE over existing models. We provide analytical justification for this approach based on Koopman spectral theory and empirically demonstrate tcKAE’s superior performance over state-of-the-art KAE models across a variety of test cases, including simple pendulum oscillations, kinetic plasma, and fluid flow data.…”
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Diverse explanations from data-driven and domain-driven perspectives in the physical sciences by Sichao Li, Xin Wang, Amanda Barnard

“…Despite the promising performance of these models, understanding the decisions they make is also essential to ensure the scientific value of their outcomes. …”
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History and evolution of the healing gardens: Investigating the building-nature relationship in the healthcare setting by Liheng Zhu, Javed Shah Sarah

“…Combined with qualitative and design-driven research methodologies, including the use of visualization tools such as drawings, models, and images, six models of building-nature integration in contemporary healthcare architecture are identified. …”
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Petrology and mineral chemistry of the Hamaneh granitoid, West of Yazd (Central Iran zone) by Javad Ghanei Ardakani, Maryam Ahankoub

“…Microprobe analyses were performed with the Cameca model SX100 device with an accelerating voltage of 15 KV and current intensity of 15 nA. …”
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Julius Kruopis – the pioneer of applied statistics in Lithuania by Vilijandas Bagdonavičius, Vydas Čekanavičius, Rūta Levulienė, Pranas Vaitkus

“…Bolshev), has a clear applied character. Statistical modeling of tick-borne encephalitis virus infection and immunity formation processes was performed. …”
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Comparison of MobilenetV2 and EfficiennetB3 Method to Classify Diseases on Corn Leaves by Riyadi Slamet, Mulya Rezka, Nabila Realisti Aulia

“…When the test data is evaluated, EfficientNetB3 performs better than MobileNetV2. MobileNetV2 has limitations in handling complex feature representation on very complex data. …”
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Signal equalization and coding techniques in ultra-high-speed short-reach optical interconnect by QIN Hao, YANG Chuanchuan, LAN Tianxiang, QIN Xin, ZHAO Yuping, CHEN Zhangyuan

“…Against the backdrop of the vigorous development of artificial intelligence (AI) large models, the demand for the data center optical module rate continues to rise. …”
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Robust Pose Estimation for Noncooperative Spacecraft Under Rapid Inter-Frame Motion: A Two-Stage Point Cloud Registration Approach by Mingyuan Zhao, Long Xu

“…To validate the approach, we simulate time-of-flight (ToF) sensor measurements by rendering NASA’s public 3D spacecraft models and obtain 3D point clouds by back-projecting the depth measurements to 3D space. …”
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First-Arrival Picking for Microseismic Monitoring Based on Deep Learning by Xiaolong Guo

“…In this paper, we first introduced the methodology of the UNet++-based picking method. And then, the performance of the proposed method is verified by the experiments with finite-difference forward modeling simulated signals and actual microseismic records under different signal-to-noise ratios, and finally, comparative experiments are performed using the U-Net-based first-arrival picking algorithm and the Short-Term Average to Long-Term Average (STA/LTA) algorithm. …”
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Towards Efficient Bio-Methanation: A Comparative Analysis of Disperser Designs and Process Optimization in Bubble Columns by Florian Klapal, Mark Werner Hlawitschka

“…Various disperser designs were examined in a 0.14 mm diameter column, comparing their performance in terms of bubble diameter distribution and gas hold-up. …”
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Recognition of Handwritten Persian Two-digit Numerals Using a Novel Hybrid SVM/HMM algorithm by Mahsa Aliakbarzadeh, Farbod Razzazi, Alireza Behrad

“…Due to the higher performance of SVM in classification with respect to HMM, the main core of recognition is an SVM classifier. …”
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A Comprehensive Analysis of the Security of ML Integrated CPS as Autonomous Vehicles by Kesava reddy, Kumudham R

“…Furthermore, the paper surveys the crucial feature of risk assessment associated to autonomous vehicles, emphasising the performance can considerably improve when risk assessments are confirmed by large datasets in the training phase, predominantly while engaging learning models. …”
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Mechanics of Bio-Inspired Protective Scales by Antonio Pantano, Vincenzo Baiamonte

“…Finite element method tests evaluated their performance in puncture resistance and flexibility. …”
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Iterative Sparse Identification of Nonlinear Dynamics by Jinho Choi

“…This feature, which relies on a small number of terms, is crucial for interpretability. …”
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