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

“…Firstly, a multi-source dataset is established by systematically integrating TBM tunnelling parameters, horizontal acoustic profile (HSP) detection data and three-dimensional geological spatial information. …”
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Artificial intelligence approach for estimating energy density of liquid metal batteries by Pouya Zakerabbasi, Sina Maghsoudy, Alireza Baghban, Sajjad Habibzadeh, Amin Esmaeili

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Novel approaches in prediction of tensile strain capacity of engineered cementitious composites using interpretable approaches by Alahmari Turki S., Farooq Furqan

“…The data gathered from the literature comprise input parameters in which the fiber content, fiber length, cement, fiber diameter, water-to-binder ratio, fly ash (FA), age, sand, superplasticizer, and TSC as output parameters are utilized. …”
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Soft-computing models for predicting plastic viscosity and interface yield stress of fresh concrete by Waleed Bin Inqiad, Muhammad Faisal Javed, Deema Mohammed Alsekait, Naseer Muhammad Khan, Majid Khan, Fahid Aslam, Diaa Salama Abd Elminaam

“…The models were developed using data from published literature having six input parameters including cement, water, time after mixing etc. and two output parameters i.e., plastic viscosity and interface yield stress. …”
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Enhancement and Expansion of the Neural Network-Based Compact Model Using a Binning Method by Jinyoung Choi, Hyunjoon Jeong, Sangmin Woo, Hyungmin Cho, Yohan Kim, Jeong-Taek Kong, Soyoung Kim

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Prediction Model and Knowledge Discovery for Roof Stress in Mined-Out Areas Integrating 3D Scanning Image Features by Yong Yang, Kepeng Hou, Huafen Sun, Linning Guo, Yalei Zhe

“…Image features are extracted using pre-trained deep-learning models and combined with traditional geological parameters to construct multiple machine-learning models for prediction. …”
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An approach for Canadian river hydrokinetic resource assessment with synthetic aperture radar satellite images by T. Geldsetzer, J.J. van der Sanden, G. Ranjitkar, J. Huang, B. Perry, E. Bibeau

“…Both classifiers are developed using a machine-learning algorithm that identifies classification thresholds in a multidimensional space made up of advanced SAR image parameters. …”
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Key Vital Signs Monitor Based on MIMO Radar by Michael Gottinger, Nicola Notari, Samuel Dutler, Samuel Kranz, Robin Vetsch, Tindaro Pittorino, Christoph Würsch, Guido Piai

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Rock blasting evaluation - image recognition method based on deep learning by Haibao YI, Aixiang Wu, Xiliang Zhang

“…Using image recognition technology to conduct image analysis of rock blasting fragmentation and half-hole rate can direct the control of rock blasting parameters, which is of great significance for improving rock breaking quality and shovel loading efficiency. …”
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Offset Adjustment Mechanism and Rigid-flexible Coupling Analysis Method for Spatial Ultra-thin Paper Tape by Gan Shengyong, Hong Guanghuai, Zhou Changjiang

“…Taking the ultra-high-speed cigarette making and tipping machine as object， the offset adjustment and rigid-flexible coupling analysis method of the ultra-thin paper tape is studied. …”
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Bias Adaptive Statistical Inference Learning Agents for Learning from Human Feedback by Jonathan I Watson

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FLFT: A Large-Scale Pre-Training Model Distributed Fine-Tuning Method That Integrates Federated Learning Strategies by Yu Tao, Ruopeng Yang, Kaisheng Zeng, Changsheng Yin, Yiwei Lu, Wenxin Lu, Yongqi Shi, Bo Wang, Bo Huang

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Research on Comprehensive Vehicle Information Detection Technology Based on Single-Point Laser Ranging by Haiyu Chen, Xin Wen, Yunbo Liu, Hui Zhang

“…The system uses two single-point laser radars with fixed angles, combined with an adaptive threshold state machine and waveform segmentation fusion, to accurately detect vehicle speed, lane position, and other parameters. …”
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Photonic indistinguishability characterization and optimization for cavity-based single-photon source by Miao Cai, Mingyuan Chen, Jiangshan Tang, Keyu Xia

“…Furthermore, a machine learning-based framework is proposed to significantly and robustly improve single-photon indistinguishability for two non-identical CQED systems. …”
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Combine photosynthetic characteristics and leaf hyperspectral reflectance for early detection of water stress by Linbao Li, Linbao Li, Linbao Li, Guiyun Huang, Guiyun Huang, Guiyun Huang, Jinhua Wu, Jinhua Wu, Jinhua Wu, Yunchao Yu, Yunchao Yu, Yunchao Yu, Guangxin Zhang, Guangxin Zhang, Guangxin Zhang, Yang Su, Yang Su, Yang Su, Xiongying Wang, Xiongying Wang, Xiongying Wang, Huiyuan Chen, Huiyuan Chen, Huiyuan Chen, Yeqing Wang, Di Wu, Di Wu, Di Wu

“…Multivariate Linear Regression (MLR) and three machine learning algorithms, namely Random Forest (RF), Support Vector Machine (SVM), and K-Nearest Neighbor (KNN) were employed to develop models for estimating LCC and ChlF parameters. …”
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Combining CFD and AI/ML Modeling to Improve the Performance of Polypropylene Fluidized Bed Reactors by Nayef Ghasem

“…Critical operating parameters like feed temperature, catalyst feed rate, and propylene inlet concentration are all tested to determine their impact on the single-pass conversion of the reactor. …”
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Hybrid procurement model for the construction of library literature and information resource procurement by Chuanyu Zhang, Changsheng Wang

“…The procurement model is constructed by using the support vector machine, and the optimal parameters of the support vector machine are obtained by using the genetic algorithm. …”
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Artificial intelligence - finite element method - hybrids for efficient nonlinear analysis of concrete structures by Michael A. Kraus, Rafael Bischof, Walter Kaufmann, Karel Thoma

“…The "Artificial Intelligence - Finite Element - Hybrids" project addresses the current unsatisfactory situation with an approach that combines non-linear finite element models for reinforced concrete shells with scientific machine learning algorithms to create hybrid AI-FEM models. …”
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International Transportation Mode Selection through Total Logistics Cost-Based Intelligent Approach by Rushikesh A. Patil, Abhishek D. Patange, Sujit S. Pardeshi

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Identification method of canned food for production line sorting robot based on improved PSO-SVM by GAO Haiyan, GAO Jinyang, WANG Weicheng

“…By improving the particle swarm optimization algorithm to optimize support vector machine parameters, an optimized support vector machine classification model was obtained. …”
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