A novel inversion method of slope rock mechanical parameters using differential evolution gray wolf algorithm to optimize support vector regression by Tingkai Hou, Zonghong Zhou, Yonggang Zhang, Jing Zhang

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Structural Optimisation of a Suspension Control Arm Using a Bi-Evolutionary Bone Remodelling Inspired Algorithm and the Radial Point Interpolation Method by Carlos Oliveira, Ana Pais, Jorge Belinha

“…RPIM shape functions are constructed using polynomial and radial basis functions with interpolating properties. …”
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Research on an orchard row centreline multipoint autonomous navigation method based on LiDAR by Chen Zhenyu, Dou Hanjie, Gao Yuanyuan, Zhai Changyuan, Wang Xiu, Zou Wei

“…The method begins by constructing a three-dimensional (3D) point cloud map of the orchard via the LIO_SAM algorithm, and a 3D point cloud-to-two-dimensional (2D) grid map algorithm is designed. …”
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Multilayer Network Modeling for Brand Knowledge Discovery: Integrating TF-IDF and TextRank in Heterogeneous Semantic Space by Peng Xu, Rixu Zang, Zongshui Wang, Zhuo Sun

“…To address this gap, this study proposes a BKMN framework integrating TF-IDF and TextRank algorithms for comprehensive brand knowledge discovery. …”
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Integrating fractional-order derivatives of soil and leaf hyperspectral reflectance for improved estimation of mangrove soil organic carbon by Yibo Luo, Chunlin Li, Jinhong Huang, Chengcheng Dong, Junjie Wang

“…This study presents a novel framework integrating fractional-order derivative (FOD) techniques with machine learning algorithms for SOC estimation in mangrove wetlands. …”
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Optimal Design of Gain-Flattened Raman Fiber Amplifiers Using a Hybrid Approach Combining Randomized Neural Networks and Differential Evolution Algorithm by Jing Chen, Hao Jiang

“…An efficient method based on a hybrid approach that combines extreme learning machine (ELM) technique and differential evolution (DE) algorithm is proposed to optimize the multipumped Raman fiber amplifier (RFA). …”
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Integrated artificial intelligence approach for well-log fluid identification in dual-medium tight sandstone gas reservoirs by Wurong Wang, Wurong Wang, Linbo Qu, Linbo Qu, Dali Yue, Dali Yue, Wei Li, Wei Li, Junlong Liu, Wujun Jin, Jialin Fu, Jialin Fu, Jiarui Zhang, Jiarui Zhang, Dongxia Chen, Dongxia Chen, Qiaochu Wang, Qiaochu Wang, Sha Li, Sha Li

“…Reservoir classification based on geological genetic mechanism significantly reduces data noise and prediction ambiguity, thereby improving the efficiency of model training.DiscussionThe final model is constructed by an ensemble method that integrates multiple sub-models, including fuzzy C-means clustering (FCM), gradient boosting decision tree (GBDT), backpropagation neural network (BPNN), random forests (RF), and light gradient boosting machines (LightGBM). …”
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Integrated multiomics analysis identifies PHLDA1+ fibroblasts as prognostic biomarkers and mediators of biological functions in pancreatic cancer by Rui Wang, Rui Wang, Guan-Hua Qin, Guan-Hua Qin, Yifei Jiang, Fu-Xiang Chen, Fu-Xiang Chen, Zi-Han Wang, Zi-Han Wang, Lin-Ling Ju, Lin Chen, Da Fu, En-Yu Liu, Su-Qing Zhang, Wei-Hua Cai

“…A 7-gene mCAF-associated risk model was constructed using advanced machine learning algorithms, and the biological significance of PHLDA1 was validated through co-culture experiments and pan-cancer analyses.ResultsOur multiomics analysis revealed that the novel 7-gene model (comprising USP36, KLF5, MT2A, KDM6B, PHLDA1, REL, and DDIT4) accurately predicts patient survival, immunotherapy response, and TME status. …”
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The Alliance of BIM and Artificial Intelligence: Challenges for a Reinvented Future – The State of the Art by Ellyssa Abdelmoula, Meriem Zammel, Najla Allani

“…Despite the progress made in integrating BIM and AI, challenges remain, such as interoperability between different platforms and data structures, as well as concerns over data security concerns when AI algorithms are applied in construction projects. …”
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Optimal Design of a Micro Reversible Pump Turbine for Balancing Generation Mode and Storage Mode by Tengjiao Guo, Jiale Pan, Ran Tao, Ruofu Xiao

“…In response, this study proposes an optimization approach integrating Bezier curve control, bidirectional weighting, and genetic algorithms (GA) based on computational fluid dynamics (CFD) to enhance the reversible high‐efficiency performance of double‐suction centrifugal pumps. …”
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Application of Deep Learning for Stock Prediction Within the Framework of Portfolio Optimization in Quantitative Trading by Xiaoyu Qin

“… This paper proposes a method for stock prediction and portfolio optimization as a part of quantitative trading based on a combination of Bi-RNN and a modified snake optimization algorithm (MSOA) to build optimal portfolios and outperform conventional models and benchmarks. …”
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Tomographic reconstruction algorithms for retrieving two-dimensional ice cloud microphysical parameters using along-track (sub)millimeter-wave radiometer observations by Y. Liu, Y. Liu, I. S. Adams

“…It then integrates the 1D retrieval results to construct 2D cloud cross-section. …”
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Research on vehicle accident hazard scenario derivation based on improved AST by Hua Zhou, Lei Xu, Yao Ren, Daowen Zhang, Pingfei Li, Jixiang Yang, Junlian Yan, Zhengping Tan

“…This paper proposes a scenario derivation method that integrates a scene tree model constructed based on accident data with an improved adaptive stress test. …”
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Inversion of citrus SPAD value and leaf water content by combining feature selection and ensemble learning algorithm using UAV remote sensing images by Quanshan Liu, Fei Chen, Ningbo Cui, Zongjun Wu, Xiuliang Jin, Shidan Zhu, Shouzheng Jiang, Daozhi Gong, Shunsheng Zheng, Lu Zhao, Zhihui Wang

“…Compared to the SVR, Ada and SVR-Ada, the WOA-SVR-Ada model, constructed by combining the DT algorithm with VI+TF as inputs (WOA-SVR-AdaD3), exhibited the highest estimation accuracy for both SPAD value and LWC. …”
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Building Consumption Data Systems Driven by AI Plus Expert for Scientific and Technical Literature Information Resources by Guanghui YE, Kai TU, Lina HU, Li HAN, Zhiming FENG

“…Then, following the processing flow of consumer-end data, namely the collection phase, utilization phase, and management phase, the paper proposes principles for the construction of consumer-end data systems. Furthermore, the paper deconstructs and analyzes the risks associated with the involvement of AI in the construction of consumer-end data systems, including four types of risks: machine algorithm risks, annotation content risks, annotation data risks and application risks. …”
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A Method for Generating and Evaluating Magnetic Flux Leakage Data for Large-diameter Pipeline Crack Defects Based on Numerical Simulation and Diffusion Algorithm by Chen Ximing, Li Kun, Fu Mengkai, Zhu Jianjun, Liu Xiaoben

“…Considering that the sample size of magnetic flux leakage （MFL） data for large-diameter pipeline crack defects is insufficient to support the quantitative identification， a database generation method integrating numerical simulation of MFL field and diffusion algorithm was proposed， and it was verified through full-scale pull test and three-dimensional MFL simulation modeling. …”
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Research on Rolling Bearing Fault Diagnosis Method Based on MPE and Multi-Strategy Improved Sparrow Search Algorithm Under Local Mean Decomposition by Haodong Chi, Huiyuan Chen

“…Furthermore, considering the instability of classification caused by the empirical setting of hidden layer nodes in the extreme learning machine (ELM), a multi-strategy improved sparrow search algorithm is proposed to optimize ELM parameters. This algorithm integrates an adaptive Levy flight mechanism and dynamic reverse learning. …”
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METHOD FOR SOLVING ILL-POSED PROBLEMS FOR DIFFERENTIAL EQUATIONS WITH APPROXIMATELY GIVEN FUNCTIONS BASED ON THE REPRESENTATION OF THE SOLUTION OF INTEGRAL EQUATIONS by Igor' Eduardovich Naats, Victoria Igorevna Naats, Roman Andreyevich Ryskalenko

“…In the present work is the construction of the approximate solution of odes with specified boundary conditions, are the so-called singular integrals. …”
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Optimization of Composite Sandwich Structures: A Review by Muhammad Ali Sadiq, György Kovács

“…The findings of this review offer insights into the recent and future research directions of optimizing sandwich constructions, emphasizing the integration of advanced numerical techniques for analysis and efficient structural optimization.…”
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Identification of ageing-associated gene signatures in heart failure with preserved ejection fraction by integrated bioinformatics analysis and machine learning by Guoxing Li, Qingju Zhou, Ming Xie, Boying Zhao, Keyu Zhang, Yuan Luo, Lingwen Kong, Diansa Gao, Yongzheng Guo

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