Traffic Analysis Model with Bayesian Network and Social Media Data: D100 Highway Travel İnformation System by Cihan Çiftçi, Halim Kazan

“…Traffic density and parameters affecting traffic incidents on the Anatolian and European sides of the D100 highway in Istanbul were determined. …”
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A hybrid approach combining Bayesian networks and logistic regression for enhancing risk assessment by Xueyuan Wei, Yingdong Dong

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Predictive framework of vegetation resistance in channel flow by Fengcong Jia, Weijie Wang, Yu Han, Jiayu Du, Yue Zhang, Zihan Liu, Hairong Gao

“…This study introduces a machine learning-based framework for predicting vegetation flow resistance, incorporating nine ML methods, including SVM, XGBoost, and BP. …”
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Learning under label noise through few-shot human-in-the-loop refinement by Aaqib Saeed, Dimitris Spathis, Jungwoo Oh, Edward Choi, Ali Etemad

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Discriminative versus generative approaches to simulation-based inference by Benjamin Sluijter, Sascha Diefenbacher, Wahid Bhimji, Benjamin Nachman

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An Innovative Inversion Method of Potato Canopy Chlorophyll Content Based on the AFFS Algorithm and the CDE-EHO-GBM Model by Xiaofei Yang, Qiao Li, Honghui Li, Hao Zhou, Jinyan Zhang, Xueliang Fu

“…In this study, an improved Adaptive-Forward Feature Selection (AFFS) algorithm was developed by combining remote sensing data and measured data to optimize the input Vegetation Index (VI) variables. Gradient Boosting Machine (GBM) model parameters were optimized using a hybrid strategy improved Elephant Herd Optimization (EHO) algorithm (CDE-EHO) that combines Differential Evolution (DE) and Cauchy Mutation (CM). …”
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Integrating Time Series Anomaly Detection Into DevOps Workflows by Gustav Kanahols, Shahriar Hasan, Per Erik Strandberg

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A comprehensive approach to portfolio optimization based on modern mathematical modeling methods by Shkanov Bulat

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Predicting the shield effectiveness of carbon fiber reinforced mortars utilizing metaheuristic algorithms by Mana Alyami, Irfan Ullah, Furqan Ahmad, Hisham Alabduljabbar

“…However, these experiments are resource intensive. Machine learning (ML) models present a faster, cost-effective alternative for simulating outcomes and exploring various scenarios. …”
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Generalized Additive Model for Predicting ECBR of Stabilized Subgrades for Pavement by Alka Shah, Tejaskumar Thaker, Vipin Shukla

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Application of Quantum Recurrent Neural Network in Low-Resource Language Text Classification by Wenbin Yu, Lei Yin, Chengjun Zhang, Yadang Chen, Alex X. Liu

“…To promote the development of quantum machine learning in low-resource language domains, we propose a quantum–classical hybrid architecture. …”
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Credibility-Adjusted Data-Conscious Clustering Method for Robust EEG Signal Analysis by Fatemeh Divan, Teh Ying Wah, Kheng Seang Lim, Ali Seyed Shirkhorshidi

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A Novel LQI-Based Speed Control of Switched Reluctance Motors for High Performance Applications by Paulo M. Robson Costa, Marcelo Vinicius De Paula, Pedro J. Dos Santos Neto, Tarcio Andre Dos Santos Barros

“…The increasing use of Switched Reluctance Machines (SRMs) across various applications has been driven by their notable advantages and advancements in power electronics. …”
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Generative Simplex Mapping: Non-Linear Endmember Extraction and Spectral Unmixing for Hyperspectral Imagery by John Waczak, David J. Lary

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Optimization of welding strength in the tungsten inert gas welding process for aluminium alloys by Amit Gupta, Rajeev Ranjan, Robert Cep, Ajay Kumar, Ajay Kumar, Sanjay Kumar Jha, Faisal Altarazi, Ashish Kumar, Namrata Dogra

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Distributed Hydrological Modeling With Physics‐Encoded Deep Learning: A General Framework and Its Application in the Amazon by Chao Wang, Shijie Jiang, Yi Zheng, Feng Han, Rohini Kumar, Oldrich Rakovec, Siqi Li

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Data-driven prediction of critical diameter for deterministic lateral displacement devices: an integrated DPD-ML approach by Shuai Liu, Peng Zhang, Anbin Wang, Keke Tang, Shuo Chen, Chensen Lin

“…The study uses control parameters of Bézier curves to represent the arbitrary pillar shapes, along with the forces in the x and y directions of the fluid as input parameters. …”
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Bio-Magneto Sensing and Unsupervised Deep Multiresolution Analysis for Labor Predictions in Term and Preterm Pregnancies by Ejay Nsugbe, Oluwarotimi Williams Samuel, Jose Javier Reyes-Lagos, Dawn Adams, Olusayo Obajemu

“…DWS is combined with select pattern-recognition-based prediction machines in order to assemble a clinical decision pipeline for the prediction of the states of various pregnancies, with a greater degree of machine intelligence. …”
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Preliminary Study on Near-Surface Air Temperature Lapse Rate Estimation and Its Spatiotemporal Distribution Characteristics in Beijing–Tianjin–Hebei Mountainous Region by Qichen Lv, Mingming Sui, Shanyou Zhu, Guixin Zhang, Yuxin Li

“…The near-surface air temperature lapse rate (SATLR) is a crucial parameter in climate, hydrology, and ecology research conducted in mountainous regions. …”
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Impact of a multiple oversampling technique-based assessment framework on shallow rockburst prediction models by Guozhu Rao, Guozhu Rao, Yunzhang Rao, Yunzhang Rao, Yangjun Xie, Qiang Huang, Jiazheng Wan, Jiyong Zhang

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