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

“…Therefore, the MBRP algorithm presents a promising tool for advancing pedestrian safety analyses in practical applications. …”
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A Novel Electromagnetic Induction-Based Approach to Identify the State of Shallow Groundwater in the Oasis Group of the Tarim Basin in Xinjiang During 2000–2022 by Fei Wang, Yang Wei, Rongrong Li, Hongjiang Hu, Xiaojing Li

“…Specific results are shown below: Numerous algorithmic predictions show the ensemble learning algorithm with the smallest error explained 71% of the ECa spatial variability. …”
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Optimization of a Hybrid Off-Grid Solar PV—Hydro Power Systems for Rural Electrification in Cameroon by Chu Donatus Iweh, Guy Clarence Semassou, Roger Houèchénè Ahouansou

“…The optimization of the system was done using HOMER Pro and validated using a meta-heuristic algorithm known as genetic algorithm (GA). The GA approach was programmed using the MATLAB software. …”
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Application of photon-counting CT in cardiovascular diseases by WANG Mengzhen, BAO Shouyu, LIU Peng, YAN Fuhua, YANG Wenjie

“…The virtual non-contrast （VNC） algorithm supports reliable calcium scoring from contrast-enhanced images, further reducing the radiation dose. …”
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Phenotyping of outpatients with heart failure with preserved ejection fraction and poor prognosis by V. N. Larina, V. I. Lunev

“…The threshold value for predicting death for LVGFI was ≤21,4%, for derivative index of LVGFI — ≥303,6 ml. …”
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Monitoring and Modeling Urban Temperature Patterns in the State of Iowa, USA, Utilizing Mobile Sensors and Geospatial Data by Clemir Abbeg Coproski, Bingqing Liang, James T. Dietrich, John DeGroote

“…Using the random forest machine-learning algorithm and estimated urban morphological variables at varying neighborhood distances derived from 1 m² aerial imagery and derived products from LiDAR data, we created 24 predicted surface temperature models that demonstrated R² coefficients ranging from 0.879 to 0.997 with the majority exceeding an R² of 0.95, all with <i>p</i>-values < 0.001. …”
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Semisupervised Learning for Detecting Inverse Compton Emission in Galaxy Clusters by Sheng-Chieh Lin, Yuanyuan Su, Fabio Gastaldello, Nathan Jacobs

“…Traditional spectral fitting is better at identifying IC cases among true IC spectra (a better recall), while IC predictions made by CAE have a higher chance of being true IC cases (a better precision), demonstrating that they mutually complement each other.…”
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Single-cell landscape of dynamic changes in CD8+ T cells, CD4+ T cells and exhausted T cells in hepatocellular carcinoma by Rongqiang Liu, Jing Ye, Jianguo Wang, Wangbin Ma, Zhendong Qiu, Jia Yu, Weixing Wang

“…The hdWGCNA algorithm identified 40 genes strongly associated with CD4+ T cells, CD8+ T cells and exhausted T cells. …”
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Remote Sensing Image Detection Method Combining Dynamic Convolution and Attention Mechanism by Yunfei Zhang, Ming Chen, Cong Chen

“…This paper proposes an improved YOLOv8 algorithm, incorporating adaptive feature extraction and multi-scale fusion modules to enhance feature representation, effectively capturing the details of small objects. …”
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Quantifying ruminal health: A statistical review and application of area and time under the curve in animal science by Luis O. Tedeschi

“…AUC-based metrics, supported by the ATAUC algorithm, enable scalable and pragmatic solutions for real-time monitoring and decision-making. …”
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Complex Large-Deformation Multimodality Image Registration Network for Image-Guided Radiotherapy of Cervical Cancer by Ping Jiang, Sijia Wu, Wenjian Qin, Yaoqin Xie

“…The DSC index of the MTEF algorithm is 5.64% higher than that of the TransMorph algorithm. …”
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Intelligent Active Suspension Control Method Based on Hierarchical Multi-Sensor Perception Fusion by Chen Huang, Yang Liu, Xiaoqiang Sun, Yiqi Wang

“…Additionally, an ant colony optimization algorithm is utilized to fine-tune four suspension parameters. …”
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The Load Cycle Amplitude Model: An Efficient Time-Domain Extrapolation Technique for Non-Stationary Loads in Agricultural Machinery by Zihan Yang, Xuke Liu, Zhenghe Song, Hanting Liu

“…Furthermore, the streamlined modelling process results in reductions of 10.63% and 20.84% in the average computing time for the algorithm when addressing stress and vibration loads, respectively. …”
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Automatic MRI Lymph Node Annotation From CT Labels by Souraja Kundu, Yuji Iwahori, M. K. Bhuyan, Manish Bhatt, Boonserm Kijsirikul, Aili Wang, Akira Ouchi, Yasuhiro Shimizu

“…We address these challenges using cross-modal supervision through image registration. Our algorithm reduces the burden of manual annotation and the reliance on large labeled datasets and eliminates the need for any MRI ground truth. …”
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Evaluation of Information Indicators of Quantization Noise Generated by Speech Signal Analogue-Digital Conversion by V. K. Zheleznyak, K. J. Rahanov, Y. R. Adamovskiy

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Segmentation of speech on phonetic elements for systems of speech information protection by Y. N. Seitkulov, S. N. Boranbayev, A. V. Patapovich, H. V. Davydau

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Synergistic Effects of Energy Storage Systems and Demand-Side Management in Optimizing Zero-Carbon Smart Grid Systems by Zeyad A. Almutairi, Ali M. Eltamaly

“…An advanced optimization algorithm enhances grid stability and efficiency. Simulations demonstrate significant reductions in carbon footprint, peak power demand, and reliance on fossil fuels. …”
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The impact of artificial intelligence on the economic productivity of enterprises by Šović Milena, Brkić Ivana

“…The study examines key AI implementation strategies at Amazon, including algorithmic recommendations, predictive analytics and robotic logistics operations. …”
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Delta-radiomics Entropy Based on Tumor Heterogeneity Concept – Response Predictor to Irradiation for Unresectable/recurrent Glioblastoma by Camil Ciprian MIRESTEAN, Roxana Irina IANCU, Dragos Teodor IANCU

“…The aim of the study is to propose a delta-radiomic based on entropy algorithm to allow the non-invasive pre-therapeutic identification of patients with unresectable or recurrent multiform glioblastoma who will benefit from irradiation and/or salvage re-irradiation. …”
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Digitally twin driven ship cooling pump fault monitoring system and application case by Shaojuan Su, Zhe Miao, Yong Zhao, Nanzhe Song

“…Using the random forest algorithm for data training and testing, the results showed that the root mean square error for the training set was 0.0037873, and for the test set, it was 0.008929, indicating high accuracy in predicting the status of cooling pumps. …”
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