Artificial intelligence prediction of the mechanical properties of banana peel-ash and bagasse blended geopolymer concrete by George Uwadiegwu Alaneme, Kolawole Adisa Olonade, Ebenezer Esenogho, Mustapha Muhammad Lawan, Edward Dintwa

“…Utilizing three AI methodologies—Artificial Neural Networks (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS), and Gene Expression Programming (GEP)—the study aims to enhance prediction accuracy for the mechanical properties of geopolymer concrete based on 104 datasets. …”
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GNODEVAE: a graph-based ODE-VAE enhances clustering for single-cell data by Zeyu Fu, Chunlin Chen, Song Wang, Junping Wang, Shilei Chen

“…Through systematic evaluation across 10 graph convolutional layers, GAT demonstrated optimal performance, achieving average ARI advantages of 0.108 and 0.112 over alternative graph convolutional layers in VGAE and GNODEVAE architectures respectively, along with ASW advantages of 0.047 and 0.098. …”
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Fault Diagnosis of Rolling Element Bearing Based on BiTCN-Attention and OCSSA Mechanism by Yuchen Yang, Chunsong Han, Guangtao Ran, Tengyu Ma, Juntao Pan

“…This paper proposes a novel fault diagnosis framework that integrates the Osprey–Cauchy–Sparrow Search Algorithm (OCSSA) optimized Variational Mode Decomposition (VMD) with a Bidirectional Temporal Convolutional Network-Attention mechanism (BiTCN-Attention). …”
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Field-grown tomato yield estimation using point cloud segmentation with 3D shaping and RGB pictures from a field robot and digital single lens reflex cameras by B. Ambrus, G. Teschner, A.J. Kovács, M. Neményi, L. Helyes, Z. Pék, S. Takács, T. Alahmad, A. Nyéki

“…A convolution neural network (CNN) model using TensorFlow library was devised for the segmentation of tomato berries along with a small robot, which had a 59.3 % F1 score. …”
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Research on fusion prediction model of wind speed, gas and dust concentration under wind flow control in fully-mechanized heading face by Xiaoyan GONG, Hao ZOU, Zhuangzhuang LIU, Long CHEN, Haoran FU, Yuheng SUN, Hao LI, Xinyu WANG, Huming NIU

“…In view of the problem that the traditional ventilation total amount control management mode of the fully mechanized heading face cannot carry out wind flow control according to the actual demand, which causes gas and dust accumulation and pollution hidden danger, the multi-source data fusion neural network prediction model of wind speed, gas and dust concentration under wind flow control is studied. …”
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Lightweight pose estimation spatial-temporal enhanced graph convolutional model for miner behavior recognition by WANG Jianfang, DUAN Siyuan, PAN Hongguang, JING Ningbo

“…Graph convolutional networks (GCNs) have advantages in processing skeleton sequence data. …”
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Multi-objective artificial-intelligence-based parameter tuning of antennas using variable-fidelity machine learning by Slawomir Koziel, Anna Pietrenko-Dabrowska, Stanislaw Szczepanski

“…Abstract Multi-objective optimization (MO) is an important topic in contemporary antenna design. …”
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Enhanced Deep Learning for Robust Stress Classification in Sows from Facial Images by Syed U. Yunas, Ajmal Shahbaz, Emma M. Baxter, Mark F. Hansen, Melvyn L. Smith, Lyndon N. Smith

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A Novel Approach to Faster Convergence and Improved Accuracy in Deep Learning-Based Electrical Energy Consumption Forecast Models for Large Consumer Groups by A. Jayanth Balaji, Binoy B. Nair, D. S. Harish Ram, Kuruvachan Kalluvelil George

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Computational modelling reveals neurobiological contributions to static and dynamic functional connectivity patterns by Linnea Hoheisel, Linnea Hoheisel, Hannah Hacker, Gereon R Fink, Gereon R Fink, Silvia Daun, Silvia Daun, Joseph Kambeitz, Joseph Kambeitz

“…In addition, we used a group-average perturbation approach to investigate the effect of coupling in each region on overall network connectivity.Our models could replicate empirical sFC and TC but not the FC variance or node cohesion (NC). …”
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Comparison of processing speed of NRS-ANN hybrid and ANN models for oil production rate estimation of reservoir under waterflooding by Paul Theophily Nsulangi, Werneld Egno Ngongi, John Mbogo Kafuku, Guan Zhen Liang

“…This study compared the predictive performance and processing speed of an artificial neural network (ANN) and a hybrid of a numerical reservoir simulation (NRS) and artificial neural network (NRS-ANN) models in estimating the oil production rate of the ZH86 reservoir block under waterflood recovery. …”
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Towards precision agriculture tea leaf disease detection using CNNs and image processing by Irfan Sadiq Rahat, Hritwik Ghosh, Suresh Dara, Shashi Kant

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Patient-Tailored Dementia Diagnosis with CNN-Based Brain MRI Classification by Zofia Knapińska, Jan Mulawka

“…This study explores the potential of using convolutional neural networks (CNNs) to diagnose dementia early and manage it in an individualized way. …”
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Neuromorphic Digital-Twin-Based Controller for Indoor Multi-UAV Systems Deployment by Reza Ahmadvand, Sarah Safura Sharif, Yaser Mike Banad

“…The proposed architecture equips each UAV with an individual spiking neural network (SNN) that learns to reproduce optimal control signals generated by a cloud-based controller, enabling robust operation even during communication interruptions. …”
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High-throughput end-to-end aphid honeydew excretion behavior recognition method based on rapid adaptive motion-feature fusion by Zhongqiang Song, Jiahao Shen, Qiaoyi Liu, Wanyue Zhang, Ziqian Ren, Kaiwen Yang, Xinle Li, Jialei Liu, Fengming Yan, Wenqiang Li, Yuqing Xing, Lili Wu

“…Simultaneously, the RT-DETR detection model underwent deep optimization: a spline-based adaptive nonlinear activation function was introduced, and the Kolmogorov-Arnold network was integrated into the deep feature stage of the ResNet50 backbone network to form the RK50 module. …”
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Research on the Model of High-Speed Railway Station Security Resource Scheduling Based on Dynamic Passenger Flow Prediction by Mengkun Li, Yitian Sun, Chunjie Xu, Chen’ao Du, Wei Shao

“…To address these challenges, this study introduces the Multi-Head Attention Long Short-Term Memory Network and Model Predictive Control (MHALSTM-MPC) model to improve security resource management at high-speed railway stations. …”
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AI-driven point cloud framework for predicting solder joint reliability using 3D FEA data by Mohd Zubair Akhtar, Maximilian Schmid, Gordon Elger

“…This framework integrates 3D Convolutional Neural Networks (CNNs) and PointNet architectures to automatically extract complex spatial features from 3D FEA data. …”
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AgriSage: Android‐Based Application for Empowering Farmers With E‐Commerce and AI‐Driven Disease Detection by Shabeena Naveed, Mujeeb Ur Rehman, Mumtaz Ali Shah, Shahid Sultan, Zafar Ullah Khan, Syed Zarak Shah, Mansoor Iqbal, Muhammad Ahsan Amjed

“…The optimized TensorFlow Lite version demonstrated an average inference time of 35.6 ms per image, confirming its suitability for real‐time, on‐device deployment. …”
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Approaches to Proxy Modeling of Gas Reservoirs by Alexander Perepelkin, Anar Sharifov, Daniil Titov, Zakhar Shandrygolov, Denis Derkach, Shamil Islamov

“…The methodology integrates graph neural networks to account for spatial interdependencies between wells with recurrent and convolutional neural networks for time-series analysis. …”
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A radiomics approach for predicting gait freezing in Parkinson’s disease based on resting-state functional magnetic resonance imaging indices: A cross-sectional study by Miaoran Guo, Hu Liu, Long Gao, Hongmei Yu, Yan Ren, Yingmei Li, Huaguang Yang, Chenghao Cao, Guoguang Fan

“…We recruited 28 patients with Parkinson’s disease who had freezing of gait (15 men and 13 women, average age 63 years) and 30 patients with Parkinson’s disease who had no freezing of gait (16 men and 14 women, average age 64 years). …”
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