Applying model-based recursive partitioning to improve pedestrian exposure models to support transportation safety analyses by Jakob Wiegand, Vikash Gayah

“…The MBRP approach combines traditional statistical methods (e.g. NB regression) with recursive data partitioning techniques commonly found in tree-based machine learning methods. …”
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ML-Augmented Optimization of LoRa Antennas for Drone Telemetry by Pothala Chaya Devi, Ramarakula Madhu

“…The antenna is fabricated on an FR-4 substrate with dimensions of <inline-formula> <tex-math notation="LaTeX">$0.116~\lambda _{0} \times 0.073~\lambda _{0}$ </tex-math></inline-formula> and is optimized for long-range communication. A Machine Learning-augmented Optimization (MLaO) method is proposed to reduce the antenna design time compared to traditional electromagnetic simulation techniques. …”
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A Novel Authentication Management for the Data Security of Smart Grid by Imtiaz Parvez, Maryamossadat Aghili, Hugo Riggs, Aditya Sundararajan, Arif I. Sarwat, Anurag K. Srivastava

“…To implement this node-to-node authentication, One class support vector machine algorithm is proposed which takes advantages of the location information as well as the data transmission history (node identification, packet size, and data transmission frequency). …”
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Delta-Adjust: Minimum Distance Interpolation by Ziad F. Doughan, Sari S. Itani

“…We present Delta-Adjust, a novel interpolation method that extends local neighborhood interpolation techniques by introducing per-feature neighbor selection and feature-vector difference bias adjustment. …”
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Towards Automated Real-Time Detection and Location of Large-Scale Landslides through Seismic Waveform Back Projection by En-Jui Lee, Wu-Yu Liao, Guan-Wei Lin, Po Chen, Dawei Mu, Ching-Weei Lin

“…Compared to local earthquake recordings, the recordings of landslides usually show longer durations and lack distinctive P and S wave arrivals; therefore, the back projection method is adopted for the landslide detection and location. …”
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Identification of key ferroptosis-related genes and therapeutic target in nasopharyngeal carcinoma by Yuanyuan Gu, Yaozhuang Zhou, Chunhua Xie, Guangyao He, Guangyao He, Maosheng Zhang

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Experimental studies on noise spectra of ball-rod hardening of wheel pair assemblies by Natalia I. Stuzhenko

“…Currently, wheel tread surfacing is implemented on special design wheel lathes. This method provides the desired technological strength of the wheel treads, but does not provide hard facing and, consequently, does not increase wear resistance. …”
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An assessment of applications of digital health in Iran: A scientometric study by Abdolahad Nabiolahi, Hassan Shojaee-Mend, Abdoljavad Khajavi, Mohsen Sahebanmaleki

“…Findings: The results of this study showed that the annual increase in digital health studies has occurred from 2012 to 2022. The highest frequency of vocabulary was observed in machine learning (33 cases), and mobile health (24 cases), and the lowest was observed in gamification and robotics (2 cases). …”
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Physics-Guided Self-Supervised Learning Full Waveform Inversion with Pretraining on Simultaneous Source by Qiqi Zheng, Meng Li, Bangyu Wu

“…Full waveform inversion (FWI) is an established precise velocity estimation tool for seismic exploration. Machine learning-based FWI could plausibly circumvent the long-standing cycle-skipping problem of traditional model-driven methods. …”
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Classification of Chicken Carcass Breast Blood-Related Defects Using Hyperspectral Imaging Combined with Convolutional Neural Networks by Liukui Duan, Juanfang Bao, Hao Yang, Liuqian Gao, Xu Zhang, Shengjie Li, Huihui Wang

“…For chicken carcass breast blood-related defects (CBDs), which occur with high frequency, the visual features are approximated in terms of the similarity of the composition of these defects, making it challenging to classify them, either manually or automatically, using conventional machine vision. …”
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Thermodynamic properties of L-menthol in crystalline and gaseous states by A. V. Blokhin, Ya. N. Yurkshtovich

“…Electronic energy and frequencies of normal modes of the molecules involved in these reactions were calculated using the Gaussian 4 composite quantum chemical method. …”
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Automated tacholess rotational speed estimation on asynchronous motors for improved vibration analysis by Sietze Bruinsma, Rinze Geertsma, Richard Loendersloot, Tiedo Tinga

“…While numerous methods have been reported for this estimation, their accuracy for well-balanced induction motor drives running at constant speed is insufficient to accurately establish high-frequency harmonics in the spectrum. …”
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Comparison of Moving Average and Differential Operation for Wheeze Detection in Spectrograms by Meng-Lun Hsueh, Jin-Peng Chen, Bing-Yuh Lu, Huey-Dong Wu, Pei-Yi Liu

“…These signal preprocessing methods are not only applicable to wheeze signals but also to signals produced by systems such as machines, cars, and flows. …”
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Tool wear prediction based on XGBoost feature selection combined with PSO-BP network by Zhangwen Lin, Yankun Fan, Jinling Tan, Zhen Li, Peng Yang, Hua Wang, Weiwei Duan

“…These findings suggest that the proposed method can effectively predict tool wear in real-world CNC machining, contributing to improved production efficiency, reduced tool replacement frequency, and lower maintenance costs, thereby providing valuable insights for industrial applications.…”
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Consensus-Based Intelligent Distributed Secondary Control for Multiagent Islanded Microgrid by Ali M. Jasim, Basil H. Jasim, Flah Aymen, Hossam Kotb, Ahmed Althobaiti

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Simulation analysis of work posture and muscle fatigue in breaking and connecting contact terminal by Ruijian PAN, Xin LU, Conghan LIU, Chu CHEN, Lei LIU, Min LI

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Topology Optimization Design of Transmission Case Housing Used in Electric Vehicle by Zhang Qing, Li Hongbiao, Zhou Qia, Yan Huidong, Guo Wentian, Yang Xianxue

“…In the optimization,the minimum weighted compliance is set as the optimization objective and volume fraction,displacement,stress,modal frequency and machining technology as constrains. Based on the topology optimization result,the optimization design of transmission case housing is carried out with considering the requirements of assembly,lubrication and cooling. …”
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Using SVM Classifier and Micro-Doppler Signature for Automatic Recognition of Sonar Targets by Abbas Saffari, Seyed Hamid Zahiri, Navid Khozein Ghanad

“…In this paper, we propose using a propeller modulation on the transmitted signal (called sonar micro- Doppler) and different support vector machine (SVM) kernels for automatic recognition of moving sonar targets. …”
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Efficient Trajectory Prediction Using Check-In Patterns in Location-Based Social Network by Eman M. Bahgat, Alshaimaa Abo-alian, Sherine Rady, Tarek F. Gharib

“…The FP-growth mining technique is used in AHLTP to extract frequent patterns of check-in locations, combined with machine-learning methods such as K-nearest-neighbor, gradient-boosted-trees, and deep learning to classify hidden locations. …”
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Identifying Public Transit Commuters Based on Both the Smartcard Data and Survey Data: A Case Study in Xiamen, China by Shichao Sun, Dongyuan Yang

“…Compared with existing methods which were plagued by the validation of the accuracy of the identification results, the adopted approach was a machine learning algorithm with functions of accuracy checking. …”
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