Revisiting hospital patient safety culture in China: a nationwide network analysis by Haoning Shi, Zhiyu Chen, Xingyao Du, Jing Jiang, Ying Peng, Chunni Wang, Shuangjiang Zheng, Qi Huang, Mingzhao Xiao, Qinghua Zhao, Huanhuan Huang

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Analysis of Factors Affecting the Spatial Association Network of Food Security Level in China by Chuansong Zhao, Chunxia Li, Jianxu Liu, Haixia Lian, Woraphon Yamaka

“…This paper investigates the spatial interrelationship of food security levels in China through a network analysis framework, examining its determinants and network dynamics. …”
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Application of meta-heuristic hybrid models in estimating the average air temperature of Caspian sea coast of Iran by Hamidreza Babaali, Reza Dehghani, Fatemeh Dehghani

“…During the water year from 2012 to 2022, daily parameters including relative humidity, maximum temperature, minimum temperature, wind speed, and evaporation were selected as network inputs, with the average daily air temperature as the network output. …”
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A dynamic resilience management framework for deep-tier supply networks by Elham Taghizadeh, Saravanan Venkatachalam, Ratna Babu Chinnam

“…The framework promotes network analysis techniques combined with discrete-event simulation informed by secondary data sources and global supply risk databases for improving resilience management. …”
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Rear-end conflicts analysis at non-signalized intersection based on vehicles trajectory data by Hussain A. Nasr, Helai Huang, Jieling Jin, Hanchu Zhou

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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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Longitudinal whole-brain analysis of multi-subject diffusion data in diffuse axonal injury by Daphine Centola Grassi, Ana Luiza Zaninotto, Fabrício Stewan Feltrin, Fabíola Bezerra de Carvalho Macruz, Maria Concepción García Otaduy, Claudia da Costa Leite, Vinicius Monteiro de Paula Guirado, Wellingson Silva Paiva, Celi Santos Andrade

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Method for compensating multi-time measurement data of distribution network based on alternating minimization matrix completion combined with VMD-ARIMA-LSTM by Xiaodan Yu, Ruijia Jiang, Xiaolong Jin, Hongjie Jia, Yunfei Mu, Wei Wei, Wanxin Tang

“…To address these issues, this paper proposes a hybrid state estimation framework (MC-VMD-ARIMA-LSTM) that integrates alternating-minimization matrix completion (MC) with variational mode decomposition (VMD), autoregressive integrated moving average (ARIMA) modeling, and long short-term memory (LSTM) neural networks for enhanced power flow analysis in low-observability distribution networks. …”
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Deep Learning-Based In Situ Micrograph Synthesis and Augmentation for Crystallization Process Image Analysis by Muyang Li, Tuo Yao, Jian Liu, Ziyi Liu, Zhenguo Gao, Junbo Gong

“…The proposed method, aided by interpolation augmentation and data warping augmentation to enhance data richness, utilized only 25% of the training annotations, consistently segmenting crystallization process images comparable to those models utilizing 100% of the training data annotations, achieving an average precision of nearly 98%. …”
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Performance Analysis of Underwater Wireless Sensor Network by Deploying FTP, CBR, and VBR as Applications by K. Sathish, C. V. Ravikumar, Asadi Srinivasulu, Anand Kumar Gupta

“…The network that is formed by the collection of these underwater wireless sensors is referred to as an underwater wireless sensor network (UWSN). …”
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Mapping Lithology with Hybrid Attention Mechanism–Long Short-Term Memory: A Hybrid Neural Network Approach Using Remote Sensing and Geophysical Data by Michael Appiah-Twum, Wenbo Xu, Emmanuel Daanoba Sunkari

“…To address these limitations, a hybrid-attention-integrated long short-term memory (LSTM) network is employed to diagnose, interpret, and identify lithological feature representations in a remote sensing-based geological analysis using multisource data fusion. …”
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Identifying Significant Macroeconomic Indicators for Indian Stock Markets by Prakash K. Aithal, Acharya U. Dinesh, M. Geetha

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Spatiotemporal evolutionary patterns and influencing factors of urban carbon emissions in China by Qifeng Meng, Chunyi Li

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KA-GCN: Kernel-Attentive Graph Convolutional Network for 3D face analysis by Francesco Agnelli, Giuseppe Facchi, Giuliano Grossi, Raffaella Lanzarotti

“…To address this limitation, we propose the Kernel-Attentive Graph Convolutional Network (KA-GCN). Our key finding is that integrating kernel-based and attention-based mechanisms to dynamically refine distances and learn the adjacency matrix within a Graph Structure Learning (GSL) framework enhances the model’s adaptability, making it particularly effective for 3D face analysis tasks and delivering strong performance in data-scarce scenarios. …”
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Application analysis of computer vision and image recognition based on improved VGG16 network by Xuanzhang Zhu, Yafei Li

“…On the basis of improving the deep convolutional neural network model, combined with the boundary Fisher analysis algorithm that can recognize high-dimensional data, an image recognition model is constructed to achieve efficient recognition of visual images. …”
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Educational Behaviour Analysis Using Convolutional Neural Network and Particle Swarm Optimization Algorithm by Zhenjiang Dong

“…To improve the quality of online education, a comprehensive and effective analysis of educational behaviour is necessary. In this paper, we proposed a network model based on the ResNet50 network fused with a bilinear hybrid attention mechanism and proposed an adaptive pooling weight algorithm based on the average pooling algorithm for the problems of image feature extraction caused by traditional pooling algorithm such as mutilation and blurring. …”
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Application of Principal Component Analysis-Assisted Neural Networks for the Rotor Blade Load Prediction by Jiahong Zheng, Shuaike Jiao, Ding Cui

“…This paper presents a novel approach of principal component analysis- (PCA-) assisted back propagation (BP) neural networks for the problem of rotor blade load prediction. 86.5 hours of real flight data were collected from many steady-state and transient flight maneuvers at different altitudes and airspeeds. …”
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Regression analysis and artificial neural networks for predicting pine species volume in community forests by Wenceslao Santiago-García

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Sentiment Analysis of Tweets on Prakerja Card using Convolutional Neural Network and Naive Bayes by Pahlevi Wahyu Hardjita, Nurochman, Rahmat Hidayat

“…People’s comments on it can be useful information, and this research tries to analyze the sentiment regarding the Prakerja Card program using the Convolutional Neural Network and Naive Bayes methods. The main task in this sentiment analysis is analyzing the data and then classifying them into one of the following classes: positive, negative or neutral. …”
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Towards arbitrary QUBO optimization: analysis of classical and quantum-activated feedforward neural networks by Chia-Tso Lai, Carsten Blank, Peter Schmelcher, Rick Mukherjee

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