Optimizing urban infrastructure resilience: Analyzing cascading failures and critical node dependencies through multilayer network models by Cong Lu, Jianjun She, Hezhi Pan, Zihao Guo, Xuanling Zhou, Zhijian Li

“…The PageRank algorithm is used to identify critical nodes by evaluating their network centrality, thereby highlighting key components within the system. …”
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Prediction of land cover changes in an Urban City of Bangladesh using artificial neural network-based cellular automata by Tania Yeasmin, Sourav Karmaker, Md Shafiqul Islam, Irteja Hasan, Saifur Rahman, Mahmudul Hasan

“…Supervised classification algorithms and cellular automata model based on Artificial Neural Networks (ANN) were used to prepare LULC maps and future simulations. …”
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Air quality prediction using stacked bi- long short-term memory and convolutional neural network in India by S Karkuzhali, Thendral Puyalnithi, R Nirmalan

“…The study aims to offer valuable insights into the temporal and spatial patterns of air quality in India, thereby aiding environmental policymakers, urban planners, and researchers in formulating effective strategies for air quality management. …”
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Modeling Higher-Order Interactions in Graphs Through Combinatorial Arc-Transitive Structure Using Graph Convolutional Network by Qingwei Wen

“…Our experimental evaluations on various benchmark graph datasets—including both homogeneous and heterogeneous structures—demonstrate that HiGCN significantly outperforms state-of-the-art models in node classification and graph classification tasks, particularly in domains such as bioinformatics, social networks, and recommendation systems. …”
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Data driven fuel consumption prediction model for green aviation using radial basis function neural network by Yuandi Zhao, Zhongyi Wang, Xiaohui Wang, Ye Song, Yuzhe Han

“…Further analysis indicated that the model can be employed to evaluate the “fuel penalty for carrying additional fuel” patterns and enhance fuel efficiency. …”
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SPYDER: QoS-Aware Radio Resource Allocation in Multiuser ISAC-Capable C-V2X Networks by Syed Najaf Haider Shah, Aamir Ullah Khan, Christian Schneider, Joerg Robert

“…A key innovation of our approach is the introduction of a sparse random pattern yielding dynamic interleaving (SPYDER) based OFDM grid, which employs non-uniform interleaving of OFDM symbols and subcarriers to support high-resolution radar sensing while reducing resource overhead for communication operations. …”
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Event-Type Identification in Power Grids Using a Spectral Correlation Function-Aided Convolutional Neural Network by Ozgur Alaca, Ali Riza Ekti, Jhi-Young Joo, Nils Stenvig

“…The SCF-based FE method captures distinctive event-type characteristics by exploiting the spectral correlation of signals, allowing the CNN architecture to effectively learn and generalize event patterns. The proposed method is benchmarked against seven conventional techniques, using real-world power grid signals representing four distinct event types: blown fuse, line switching, low amplitude arcing, and transformer energization. …”
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Landsat Time Series Reconstruction Using a Closed-Form Continuous Neural Network in the Canadian Prairies Region by Masoud Babadi Ataabadi, Darren Pouliot, Dongmei Chen, Temitope Seun Oluwadare

“…To address these challenges, this research explores the application of a closed-form continuous-depth neural network (CFC) integrated within a recurrent neural network (RNN) called CFC-mmRNN for reconstructing historical Landsat time series in the Canadian Prairies region from 1985 to present. …”
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Network analysis of socioeconomic disparities and public transport in COVID-19 spread: a case study in northeast Brazil by Taise F Cavalcante, Waneska de S Barboza, Cliomar A dos Santos, Adriano Antunes de S Araújo, Lucindo José Quintans-Júnior, Paulo Ricardo Martins-Filho

“…Conclusions: Our study highlights the vital role of urban mobility patterns in the spread of COVID-19. Neighborhoods with better living conditions that serve as hubs of activity and movement, enable gatherings and interactions among people from diverse regions, including those from areas with higher infection rates. …”
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A Dual-Strategy Framework for Cyber Threat Detection in Imbalanced, High-Dimensional Data Across Heterogeneous Networks by T. Saranya, S. Indra Priyadharshini

“…As cyber threats grow in complexity, ensuring robust network security has become increasingly critical. …”
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FISNET: A Learnable Fusion-Based Iris Segmentation Network Improving Robustness Across NIR and VIS Modalities by Geetanjali Sharma, Gaurav Jaswal, Aditya Nigam, Raghavendra Ramachandra

“…Segmenting irises captured under different imaging conditions is challenging for a single model due to variations in spectral features, texture, lighting conditions, and noise patterns between NIR and VIS images. To tackle this problem, we present Fused Iris Segmentation Network (FISNET) that combines segmentation maps from two models to achieve enhanced precision and accuracy. …”
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Petrographic image classification of complex carbonate rocks from the Brazilian pre-salt using convolutional neural networks by Mateus Basso, João Paulo da Ponte Souza, Guilherme Furlan Chinelatto, Luis Augusto Antoniossi Mansini, Alexandre Campane Vidal

“…The use of ML enables the analysis of large datasets, the identification of complex patterns, and can save time and reduce costs compared to conventional approaches. …”
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Lower Limb Torque Prediction for Sit-To-Walk Strategies Using Long Short-Term Memory Neural Networks by Chamalka Kenneth Perera, Alpha. A. Gopalai, Darwin Gouwanda, Siti. A. Ahmad, Pei-Lee Teh

“…STW itself can be generalized into strategies based on individual needs and movement patterns. In this study, three long short-term memory (LSTM) neural networks were empirically trained for hip and knee torque prediction considering these STW strategies and subject anthropometry. …”
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WideConvNet: A Novel Wide Convolutional Neural Network Applied to ERP-Based Classification of Alcoholics by Abdul Baseer Buriro, Attaullah Buriro, Aziz Altaf Khuwaja, Abdul Aziz Memon, Nabeel Siddiqui, Stephen J. Weddell, Richard D. Jones

“…This paper presents WideConvNet, a novel convolutional neural network (ConvNet or CNN) that outperforms three established end-to-end models – EEGNet, Shallow Convolutional Neural Network (ShallowConvNet), and Deep Convolutional Neural Network (DeepConvNet) – in classifying event-related potentials (ERPs) from electroencephalogram (EEG) signals. …”
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Trade-off/Synergy Networks and Threshold Effects in Different Ecosystem Service Bundles of the Pearl River Delta Region by Li Ting, Li Zhiwen, Chen Dengshuai, Li Huixia, Xu Haofan

“…The results showed that: (1) In the Pearl River Delta, five different types of ecosystem service bundles are distributed in a circular pattern in space from the central to the surrounding areas: the urban-ecological, ecological-scarcity, agricultural-ecological, ecological-cooling, and ecological-conservation types. …”
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Graph theory-based analysis of functional connectivity changes in brain networks underlying cognitive fatigue: An EEG study. by Yabing Lou, Rui Pi, Ruifeng Sun, Jilin Wu, Wei Wang, Ziman Zhu, Tengteng Dai, Weijun Gong

“…The selected frequency band subsequently served as the basis for weighted Phase Lag Index (wPLI) computation, yielding a functional connectivity matrix derived from wPLI measurements. Network topology was evaluated through application of five global graph theory metrics (global efficiency [Eg], local efficiency [Eloc], clustering coefficient [Cp], shortest path length [Lp], and small-world property [Sigma]) complemented by two local graph theory metrics (nodal efficiency [NE] and degree centrality [DC]). …”
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Supply-Demand Matching Evaluation and Coupling Coordination of Cultural Ecosystem Services in Urban Park Green Spaces by Yang YU, Xian YANG, Xiang LI, Liyuan QIAN, Sixiang ZHOU

“…Finally, based on the combined results of the supply-demand matching evaluation and the coupling coordination analysis, optimization strategies for CES in Chengdu’s park green spaces are proposed at the subarea level.ResultsThe comprehensive supply level of CES in Chengdu’s park green spaces exhibits a cluster distribution pattern that is “higher in the south, and lower in the north”, with high-value areas concentrated in the central and southwestern parts of the main urban area, and low-value areas mainly distributed in the northeastern part. …”
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A hybrid deep learning framework for early detection of diabetic retinopathy using retinal fundus images by Mishmala Sushith, A. Sathiya, V. Kalaipoonguzhali, V. Sathya

“…This paper presents a novel hybrid deep learning framework that combines convolutional neural networks (CNNs) and recurrent neural networks (RNNs) for diabetic retinopathy (DR) early detection and progression monitoring using retinal fundus images. …”
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Fracturing effects evaluation and gas water production characteristics analysis at different layers of surface horizontal wells by Mingqiang LI, Chunhui YE, Tengfei CAO, Ke YANG, Zhainan ZHANG, Wenjie LIU

“…Based on micro-seismic monitoring, the differences in the fracturing effects of the U1 and U2 wells were analyzed from the perspectives of the plane and height parameters of the fracture network and the types of fractures. A technical method for evaluating the effect of hydraulic fracturing in surface horizontal wells was initially formed by combining fracturing construction parameters with micro-seismic monitoring results. …”
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Exploring Solar Granulation: from IMaX/SUNRISE to DKIST by Reza Mansouri, Rafal Angryk, Kevin Reardon

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