TBM Enclosure Rock Grade Prediction Method Based on Multi-Source Feature Fusion by Yong Huang, Xiewen Hu, Shilong Pang, Wei Fu, Shuaipeng Chang, Bin Gao, Weihua Hua

“…In the data preprocessing stage, the TBM data is cleaned and divided according to the mileage section, the statistical characteristics of key tunnelling parameters (thrust, torque, penetration, etc.) are extracted, and the rock fragmentation index (TPI, FPI, WR) is fused to construct a composite feature vector. The Direct-LiNGAM causal discovery algorithm is innovatively introduced to analyse the nonlinear correlation mechanism between multi-source features, and then a hybrid model, TRNet, which combines the local feature extraction ability of convolutional neural networks and the nonlinear approximation advantages of Kolmogorov–Arnold networks, is constructed. …”
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Spatio-temporal analysis of vegetation dynamics in derived savannah, Ogun State Nigeria from 2002 to 2023 by Daniel Abiodun Akintunde-alo, Peter Oluwagbemiga Ige, Oluseun Banjo

“…Landsat images were downloaded from the repository of the United States Geological Survey (USGS). Composites of red, green, blue and near-infra-red spectral bands of study period were obtained and classified using Maximum Likelihood (ML) algorithm into Land Use Land Cover (LULC) categories as follows: bare soil; built-up areas; forest; and grassland. …”
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Analytical quality by design aided RP-HPLC method for the estimation of sunset yellow in commercial food samples employing green ultrasound assisted extraction: Greenness, blueness... by Atyurmila Chakraborty, Kavitha Jayaseelan

“…The blueness and whiteness of the method was assessed by Blue Applicability Grade Index and Red-Green-Blue 12 (RGB 12) algorithm respectively with a high score which shows high practicality, cost effectiveness and ecofriendliness of the method.…”
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Label dependency modeling in Multi-Label Naïve Bayes through input space expansion by PKA Chitra, Saravana Balaji Balasubramanian, Omar Khattab, Mhd Omar Al-Kadri

“…The performance of our approach is gauged against the traditional multi-label Naïve Bayes (MLNB) algorithm and is quantified through a suite of evaluation metrics. …”
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Comprehensive benefits evaluation of low impact development using scenario analysis and fuzzy decision approach by Ting Ni, Xiaohong Zhang, Peng Leng, Mark Pelling, Jiuping Xu

“…The framework’s novelty lies in the integration of the hesitant fuzzy weighted average algorithm to handle subjective uncertainties in expert judgment and the incorporation of multi-return period scenarios to enhance the robustness of the evaluation. …”
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Characterization and Optimization of Sound Transmission Loss of PVC Foam Sandwich Structure Reinforced by Carbon Fiber Columns by Kangle Li, Zhiwei Zhou, Jichao Lei, Lixian Wang, Wenkai Dong, Yongbo Jiang, Ying Li

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Fully-Gated Denoising Auto-Encoder for Artifact Reduction in ECG Signals by Ahmed Shaheen, Liang Ye, Chrishni Karunaratne, Tapio Seppänen

“…The FGDAE showed the best performance on all seven error metrics used in our work in different noise intensities and artifact combinations compared with state-of-the-art algorithms. Moreover, FGDAE provides reliable denoising in extreme conditions and for varied noise compositions. …”
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Optimized Design and Test of Geometrically Nonlinear Static Aeroelasticity Model for High-Speed High-Aspect-Ratio Wing by Xing Li, Wei Qian, Ling Xiao, Xinyu Ai, Jun Liu

“…Large transport aircraft tend to adopt a wing layout with a high aspect ratio and swept-back angle due to the requirement of a high lift-to-drag ratio. Composite material is typically employed to ensure the light weight of the structure, causing serious static aeroelasticity problems to the aircraft. …”
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Effect evaluation of repairing cement-mortar microbeams by microbial induced carbonate precipitation by Peifeng Huang, Xinhua Yang, Yue Dai

“…In this paper, multi-phase mixed precipitate models are established by using the random particle generation and packing algorithm. Combined with the cohesive zone model, the deformation and failure behavior of notched cement-mortar microbeams before and after repair under three-point bending loading are numerically simulated. …”
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Multi locus sequence typing of Chlamydia reveals an association between Chlamydia psittaci genotypes and host species. by Yvonne Pannekoek, Veerle Dickx, Delphine S A Beeckman, Keith A Jolley, Wendy C Keijzers, Evangelia Vretou, Martin C J Maiden, Daisy Vanrompay, Arie van der Ende

“…Cluster analyses utilizing the Neighbour-Joining algorithm with the maximum composite likelihood model of concatenated sequences of 7 housekeeping fragments showed that C. psittaci 84/2334 isolated from a parrot grouped together with the C. abortus isolates from goats and sheep. …”
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Investigation into the Hyperparameters of Error-Based Adaptive Sampling Approach for Surrogate Modeling by Leonid Legashev, Sergey Tolmachev, Irina Bolodurina, Alexander Shukhman, Lyubov Grishina

“…The best results were shown by the composite Mixed Sampling method with a data refining window the size of 70% and a LightGBM regression model. …”
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Elicitation of Norwegian EQ-5D-5L values for hypothetical and experience-based health states based on the EuroQol Valuation Technology (EQ-VT) protocol by Knut Stavem, Tonya Moen Hansen, Ylva Helland, Liv Ariane Augestad, Kim Rand, Andrew Garratt

“…Introduction Norway is one of several European countries that lacks a national value set and scoring algorithm for the EuroQol five dimensions (EQ-5D). …”
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DCDGAN-STF: A Multiscale Deformable Convolution Distillation GAN for Remote Sensing Image Spatiotemporal Fusion by Yan Zhang, Rongbo Fan, PeiPei Duan, Jinfang Dong, Zhiyong Lei

“…Among the existing fusion algorithms, deep learning-based fusion models have demonstrated outstanding performance. …”
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Developing a multivariate model for the prediction of concussion recovery in sportspeople: a machine learning approach by Antonio Belli, Vijay Sawlani, David Davies, Kamal Yakoub, Louise C Yates, Elliot Yates, Xuanxuan Li, Yiping Lu

“…The area under the curve was 96.3%.Discussion In this large single-centre cohort study, a composite RF machine learning algorithm demonstrated high performance in predicting sporting games missed post-mTBI injury. …”
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The Time Difference of Arrival Estimation Method Utilizing an Inexact Reconstruction Within the Framework of Compressed Sensing by Shanhe Wang, Yu Xiang, Yuanyuan Gao, Yu Hua, Changjiang Huang, Xian Zhao

“…By selecting a partial Fourier transform matrix as the measurement matrix and a Fourier transform matrix as the projection matrix, the orthogonal matching pursuit (OMP) algorithm is employed to reconstruct the compressed measurement data. …”
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Optimization of Urban Rail Transit Train Stock Utilization under Re-coupling Operation Mode by DENG Chengyuan, LU Jinsheng, ZHU Changfeng, SUN Yuanguang, MA Bin

“…Moreover, a MOFA (multi-objective firefly algorithm) based on MCS (multiply cooperative strategies) is designed. …”
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Developing A Digital Twin of a TRUEX Extraction Process that Enables Non-proliferation and Safeguards Monitoring through Optical Spectroscopy and Machine Learning [version 1; peer... by Justin T. Cooper, Ramedy Flores, Addyson Barnes, Eduardo Trevino, Kathrine Jesse, Kolton Heaps, Adam J. Pluth, Ashley Shields, Jaren Brownlee

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Retrospective validation of the postnatal growth and retinopathy of prematurity criteria in a Chinese cohort by Li Li, Yanlin Gao, Yuhan Lu, Wei Chen, Mei Han

“…The sensitivity and specificity of the G-ROP predictive algorithm in identifying infants with ROP requiring treatment were calculated.ResultsA total of 352 infants with complete records were included in this study, among whom 120 infants (34.1%) were diagnosed with ROP. …”
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Australia's dengue risk driven by human adaptation to climate change. by Nigel W Beebe, Robert D Cooper, Pipi Mottram, Anthony W Sweeney

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Multi-Channel Coupled Variational Bayesian Framework with Structured Sparse Priors for High-Resolution Imaging of Complex Maneuvering Targets by Xin Wang, Jing Yang, Yong Luo

“…To address these issues, this paper proposes a Hybrid Variational Bayesian Multi-Interference (HVB-MI) imaging algorithm based on a hierarchical Bayesian framework. …”
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