DTC-m6Am: A Framework for Recognizing N6,2′-O-dimethyladenosine Sites in Unbalanced Classification Patterns Based on DenseNet and Attention Mechanisms by Hui Huang, Fenglin Zhou, Jianhua Jia, Huachun Zhang

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Attention-based integrated deep neural network architecture for predicting the effectiveness of data center power usage by Yang-Cheng Shih, Sathesh Tamilarasan, Chin-Sheng Chen, Omid Ali Zargar, Yean-Der Kuan

“…The integration of convolutional layers processes hourly data inputs efficiently, reducing complexity and improving pattern detection. A subsequent flattening layer optimizes accuracy, while a dual-layered LSTM and a deep neural network delve into frequency, temporal dynamics, and complex data relationships. …”
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Combining Generative Adversarial Networks (GANs) With Gaussian Noise for Anomaly Detection in Internet of Things (IoT) Traffic by Roya Morshedi, S. Mojtaba Matinkhah

“…To evaluate the model's performance, the CICIDS2017 dataset, which includes various attack types and normal network traffic, was used. …”
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Learning a cross-scale cross-view decoupled denoising network by mining Omni-channel information by Song Qian, Yan Xue, Youbao Chang

“…Traditional denoising methods often fail to address the complex noise patterns in such scenarios, which can adversely affect feature encoding and subsequent processing tasks. …”
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Integrating Human Mobility Models with Epidemic Modeling: A Framework for Generating Synthetic Temporal Contact Networks by Diaoulé Diallo, Jurij Schoenfeld, René Schmieding, Sascha Korf, Martin J. Kühn, Tobias Hecking

“…Additionally, sub-graph analyses confirm that different venue types display distinct network characteristics consistent with their real-world contact patterns. …”
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Neural Network-Based Genetic Algorithm for Complex Circuit Design of High-Power Vacuum Electron Device by Dongyang Wang, Yonggang Che, Hongfei Yu, Yan Teng

“…To reduce the reliance on PIC simulations, this paper investigates the capability of artificial neural networks (ANNs) for modeling HPVED circuits. Given that the advantageous gene patterns are retained and recombined during the iterations of genetic algorithm, a method for HPVED circuit modeling using process data from the genetic algorithm is designed. …”
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Deep Learning Framework Using Transformer Networks for Multi Building Energy Consumption Prediction in Smart Cities by Samuel Moveh, Emmanuel Alejandro Merchán-Cruz, Maher Abuhussain, Yakubu Aminu Dodo, Saleh Alhumaid, Ali Hussain Alhamami

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Clustering coefficient reflecting pairwise relationships within hyperedges by Rikuya Miyashita, Shiori Hironaka, Kazuyuki Shudo

“…Clustering coefficients quantify local link density in networks and have been widely studied for both simple graphs and hypergraphs. …”
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A Lightweight Intrusion Detection System with Dynamic Feature Fusion Federated Learning for Vehicular Network Security by Junjun Li, Yanyan Ma, Jiahui Bai, Congming Chen, Tingting Xu, Chi Ding

“…The rapid integration of complex sensors and electronic control units (ECUs) in autonomous vehicles significantly increases cybersecurity risks in vehicular networks. Although the Controller Area Network (CAN) is efficient, it lacks inherent security mechanisms and is vulnerable to various network attacks. …”
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Clinico-dermoscopic study and comparative evaluation with Wood’s Lamp as a diagnostic tool in patients with melasma by Anupa Khadka, Sabina Bhattarai, Sagar GC

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SAGEFusionNet: An Auxiliary Supervised Graph Neural Network for Brain Age Prediction as a Neurodegenerative Biomarker by Suraj Kumar, Suman Hazarika, Cota Navin Gupta

“…<b>Background:</b> The ability of Graph Neural Networks (GNNs) to analyse brain structural patterns in various kinds of neurodegenerative diseases, including Parkinson’s disease (PD), has drawn a lot of interest recently. …”
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NEURAL NETWORKS INTEGRATION INTO LEGAL RESOURCES FOR ANTI-СORRUPTION MEASURES IN INTERNATIONAL ECONOMIC CO-OPERATION by Oleksii Makarenkov

“…The primary anti-corruption knowledge generated by digital neural networks consists of reliable insights into interconnections, patterns, and behavioural trends concerning material assets beyond national borders. …”
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RMDNet: RNA-aware dung beetle optimization-based multi-branch integration network for RNA–protein binding sites prediction by Jiangbo Zhang, Yunhui Peng, Feifei Cui, Zilong Zhang, Shankai Yan, Qingchen Zhang

“…Several motifs closely match experimentally validated RBP motifs, confirming the model’s capacity to learn biologically meaningful patterns. A downstream case study on YTHDF1 focuses on analyzing interpretable spatial binding patterns, using a large-scale prediction dataset and CLIP-seq peak alignment. …”
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Unbalanced Associations between Physical, Psychological, and Social Domains of the Leicester Cough Questionnaire: Network and Mediation Analyses by Jieun Kang, Jiyeon Kang, Sung Jun Chung, Hyung Koo Kang, Sung-Soon Lee, Yun-Jeong Jeong, Ji-Yong Moon, Deog Kyeom Kim, Jin Woo Kim, Seung Hun Jang, Jae-Woo Kwon, Byung-Jae Lee, Hyeon-Kyoung Koo

“…The mediation analysis findings were subsequently validated in an independent cohort. Results Network analysis of LCQ items identified distinct patterns for each domain. …”
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Detecting Anomalies in Attributed Networks Through Sparse Canonical Correlation Analysis Combined With Random Masking and Padding by Wasim Khan, Mohammad Ishrat, Ahmad Neyaz Khan, Mohammad Arif, Anwar Ahamed Shaikh, Mousa Mohammed Khubrani, Shadab Alam, Mohammed Shuaib, Rajan John

“…Nevertheless, there are few approaches available to directly represent the relationship between these two perspectives of the node property and the network topology. Approaches utilizing the reconstruction error rely on straightforward, simple mappings, which introduce a substantial risk of overfitting in high-dimensional data, wherein the model acquires patterns that are exclusive to the training data and fails to generalize to new data. …”
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Competing Strategies in Morphological Approximation: Exploring Prefixoids kvazi(-), nadri(-), nazovi(-), and pseudo(-) in Croatian by Ivan Lacić

“…Overall, the prefixoids present a complex network of interrelationships, yet each prefixoid also establishes a specific niche, balancing between shared semantic roles and distinct, context-dependent uses.…”
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Redefining Urban Traffic Dynamics With TCN-FL Driven Traffic Prediction and Control Strategies by K. M. Karthick Raghunath, C. Rohith Bhat, Venkatesan Vinoth Kumar, Velmurugan Athiyoor Kannan, T. R. Mahesh, K. Manikandan, N. Krishnamoorthy

“…In this approach, every point in the intelligent city network, including traffic sensors and cameras, serves to collectively comprehend traffic patterns without disclosing raw data. …”
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Ensuring Sustainability in Pharmaceutical Care: A Retrospective Analysis of Administrative Databases on the Utilization, Costs, and Switching Patterns of Biological Therapies in th... by Renata Maria Bianca Langfelder, Roberto Langella, Cinzia D’Angelo, Claudia Panico, Sarah Cattaneo

“…<b>Methods</b>: A comprehensive analysis was conducted within an Italian healthcare organization which, through its hospital network, serves over 3.5 million individuals. Usage patterns, expenditure, and patient coverage for the principal biosimilar agents across various therapeutic areas were examined. …”
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Study on the relationship between topological characteristics of vegetation ecospatial network and sand fixation function in the Mongolian Plateau

“…Using the minimum cumulative resistance (MCR) model and complex network theory, the regional-scale vegetation structure was abstracted into a vegetation ecospatial network (VEN), and its topological characteristics were analyzed. …”
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mTanh: A Low-Cost Inkjet-Printed Vanishing Gradient Tolerant Activation Function by Shahrin Akter, Mohammad Rafiqul Haider

“…Building on this progress, this work has developed a nonlinear computational element coined as mTanh to serve as an activation function in neural networks. Activation functions are essential in neural networks as they introduce nonlinearity, enabling machine learning models to capture complex patterns. …”
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