RbfCon: Construct Radial Basis Function Neural Networks with Grammatical Evolution by Ioannis G. Tsoulos, Ioannis Varvaras, Vasileios Charilogis

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adm: An R package for constructing abundance‐based species distribution models by Admir Cesar deOliveira Junior, Santiago José Elías Velazco

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A Rapid Cortical Learning Process Supporting Students’ Knowledge Construction During Real Classroom Teaching by Xiaodan Feng, Xinran Xu, Zhaonan Meng, Jiahao Jiang, Miao Pei, Yonghe Zheng, Chunming Lu

“…Abstract Classroom teaching is essential for cognitive development and cultural evolution, yet its neurocognitive mechanisms remain unclear. …”
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Spatio-Temporal Evolution, Factors, and Enhancement Paths of Ecological Civilization Construction Effectiveness: Empirical Evidence Based on 48 Cities in the Yellow River Basin of... by Haifa Jia, Pengyu Liang, Xiang Chen, Jianxun Zhang, Wanmei Zhao, Shaowen Ma

“…This study employs the entropy-weighted Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and Back-Propagation (BP) neural network methods to evaluate the level of ecological civilization construction in the Yellow River Basin from 2010 to 2022, to analyze its indicator weights, and to explore the spatio-temporal evolution characteristics of each city. …”
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Digital Industrial Design Method in Architectural Design by Machine Learning Optimization: Towards Sustainable Construction Practices of Geopolymer Concrete by Xiaoyan Wang, Yantao Zhong, Fei Zhu, Jiandong Huang

“…The construction industry’s evolution towards sustainability necessitates the adoption of environmentally friendly materials and practices. …”
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Multiple-Feature Construction for Image Segmentation Based on Genetic Programming by David Herrera-Sánchez, José-Antonio Fuentes-Tomás, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes, José-Luis Morales-Reyes

“…Genetic programming is used to automatically create and construct pipelines to extract meaningful features for segmentation tasks. …”
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Employing Neural Networks, Fuzzy Logic, and Weibull Analysis for the Evaluation of Recycled Brick Powder in Concrete Compositions by Mohammad Mohtasham Moein, Komeil Rahmati, Ali Mohtasham Moein, Ashkan Saradar, Sam E. Rigby, Amin Akhavan Tabassi

“…Using construction and demolition (C&D) waste in concrete production is a promising step toward environmental resilience amid the construction industry’s ecological footprint. …”
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Construction of GAN‐RES and Its Application to Small Sample Fusulinid Fossil Recognition by Jiahui Xu, Yang Lu, Xu Xu

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NSA-CHG: An Intelligent Prediction Framework for Real-Time TBM Parameter Optimization in Complex Geological Conditions by Youliang Chen, Wencan Guan, Rafig Azzam, Siyu Chen

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Exact block encoding of imaginary time evolution with universal quantum neural networks by Ermal Rrapaj, Evan Rule

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Bridging Machine Learning and Cosmological Simulations: Using Neural Operators to emulate Chemical Evolution by Pelle van de Bor, John Brennan, John A. Regan, Jonathan Mackey

“…We construct and train multiple Neural Operator architectures (DeepONet variants) using a dataset derived from cosmological simulations to optimize accuracy and efficiency. …”
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Digital security risk identification and model construction of smart city based on deep learning by Zhilei Zhao

“…Abstract In view of the network security risks caused by the integration of the Industrial Internet of Things (IIoT) in the construction of smart cities, this research proposes a digital security identification model (DL-DSIM) based on deep learning, which aims to improve the data transmission efficiency and system security in the smart city environment. …”
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Introducing an Evolutionary Method to Create the Bounds of Artificial Neural Networks by Ioannis G. Tsoulos, Vasileios Charilogis, Dimitrios Tsalikakis

“…The new method effectively constructs the parameter value range of the artificial neural network with one processing level and sigmoid outputs, both achieving a reduction in training error and preventing the network from experiencing overfitting phenomena. …”
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Qinghai Energy Demand Forecasting and Development Strategy Research under the Background of Construction of Clean Energy Demonstration Province by Hongxia LI, Xiangcheng ZHANG, Fang LI, Haining ZHANG, Nan LI, Xue MA

“…Then, a DMDE-BPNN hybrid prediction model is established by optimizing the BP neural network prediction model with the double mutation differential evolution algorithm. …”
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Mean-reverting self-excitation drives evolution: phylogenetic analysis of a literary genre, waka, with a neural language model by Takuma Tanaka

“…Phylogenetic networks were constructed on the basis of the vector representation obtained using a neural language model. …”
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Physics-Informed Neural Networks: A Review of Methodological Evolution, Theoretical Foundations, and Interdisciplinary Frontiers Toward Next-Generation Scientific Computing by Zhiyuan Ren, Shijie Zhou, Dong Liu, Qihe Liu

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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

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A Hybrid Neural Networks-Coevolution Genetic Algorithm for Multi Variables Robust Design Problem in Quality Engineering by محمد رضا مهرگان, علیرضا فراست

“…The proposed algorithm comprises neural networks (NNs) and co-evolution genetic algorithm (CGA) in which neural networks are as a function approximation tool used to estimate a map between process variables. …”
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Research on rock fracture evolution prediction model based on Adam-ConvLSTM and transfer learning by Runze Liu, Ziwei Wang, Yanbo Zhang, Xulong Yao, Shaohong Yan, Zhiyuan Chen, Shuai Wang, Hua Li, Qi Wang

“…To address these challenges, this study develops a deep learning model based on an adaptive moment estimation optimized convolutional long short-term memory neural network (Adam-ConvLSTM) to predict the evolution of rock fractures. …”
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PoI+NBU: A Feasibility study in Generating High-Resolution Adversarial Images with a Black Box Evolutional Algorithm based Attack by Enea Mancellari, Ali Osman Topal, Franck Leprévost

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