MDP-AD: A Markov decision process-based adaptive framework for real-time detection of evolving and unknown network attacks by Fucai Luo, Tingfa Xu, Jianan Li, Fengxiang Xu

“…Traditional network security measures often struggle to detect and respond to rapidly evolving attack patterns in real time. …”
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A novel wind speed prediction model based on neural networks, wavelet transformation, mutual information, and coot optimization algorithm by Faezeh Amirteimoury, Farshid Keynia, Elaheh Amirteimoury, Gholamreza Memarzadeh, Hanieh Shabanian

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GenCoder++: A Protocol-Aware and Adversarially Robust Adaptive Intrusion Detection Framework for Hybrid CAN-Ethernet Vehicular Networks by Mikhail Smolin

“…This paper presents GenCoder++, a robust and adaptive Intrusion Detection System (IDS) framework designed for hybrid vehicular networks that incorporates the Controller Area Network (CAN) and Ethernet protocols. …”
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Evolution and vulnerability of the trade network structure of China’s petrochemical industry chain: Based on a comparative perspective between China and the US by GUO Jianke, YANG Jiaming, PENG Fei, LUO Hao, ZHAO Liangshi

“…The trade partner structure expanded from an Asia-centered pattern to a global network, with continuous optimization of the industry chain trade network. …”
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scGraphformer: unveiling cellular heterogeneity and interactions in scRNA-seq data using a scalable graph transformer network by Xingyu Fan, Jiacheng Liu, Yaodong Yang, Chunbin Gu, Yuqiang Han, Bian Wu, Yirong Jiang, Guangyong Chen, Pheng-Ann Heng

“…This comprehensive approach enables the identification of subtle and previously obscured cellular patterns and relationships. Evaluated on multiple datasets, scGraphformer demonstrates superior performance in cell type identification compared to existing methods and showcases its scalability with large-scale datasets. …”
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Body image flexibility and embodiment in eating disorders: a mixed-methods approach combining network analysis and pilot exposure protocol by Paolo Meneguzzo, Chiara Cazzola, Francesca Buscaglia, Anna Pillan, Filippo Pettenuzzo, Patrizia Todisco

“…Network analysis revealed distinct patterns of partial correlations between variables within each group, with higher centrality for body image concerns and weight phobia in EDs. …”
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High resistance fault detection in DC microgrid using Hilbert Huang transform and vector-based ensemble optimized LSTM networks by H. K. Prashanth Kumar, Ritesh Dash, K. Jyotheeswara Reddy, Nageswara Rao Atyam, Bhabasis Mohapatra

“…The proposed LSTM-HHT approach leverages LSTM’s ability to capture long-term dependencies and time-series patterns, along with HHT’s proficiency in analysing non-linear and non-stationary signals. …”
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Investigating the impact of the future road networks on the spatial integrations in a multicultural Pattani City, Thailand: a space syntax approach by Chompoonut Kongphunphin, Manat Srivanit, Chakarin Bejrananda, Damrongsak Rinchumphu

“…Therefore, the implications of future road network planning for the locational patterns of land-use zoning in the neighborhood centers of Pattani are vital for the development of sustainable urban centers.…”
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High-speed threat detection in 5G SDN with particle swarm optimizer integrated GRU-driven generative adversarial network by R. Shameli, Sujatha Rajkumar

“…The attack detection in 5G SDN involves Machine learning (ML) and Deep learning (DL) algorithms to analyze large volumes of network data and identify patterns indicative of attacks. …”
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EEG feature extraction methods in motor imagery-based brain-computer interfaces: a systematic review and network meta-analysis by Jiahao Cheng, Peng Chen, Yufeng Deng, Yi Luo, Fengyan Chen, Jiwang Ma, Fei Wang, Fen Xu, Sheng Guo, X. San Liang, Tao Zhang

“…The Common Spatial Pattern (CSP) method remains the most common single method, often integrated into hybrids. …”
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Enhancing MANET Security Through Federated Learning and Multiobjective Optimization: A Trust-Aware Routing Framework by Saad M. Hassan, Mohd Murtadha Mohamad, Farkhana Binti Muchtar, Firoz Bin Yusuf Patel Dawoodi

“…We evaluate this framework against existing protocols across various scenarios, including different network densities, mobility patterns, and malicious node percentages. …”
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Comparison of the effects of different teaching methods on the effectiveness of teaching neurology in China: a bayesian network meta-analysis and systematic review by Xiangyu Li, Longsheng Zhang, Wenjun Sun, Min Lei, Ying Li, Jiacheng Zhang, Xing Huang

“…In terms of practical skills examinations, a similar pattern of effectiveness was observed. Here, the order of effectiveness was CBL > EBM > PBL > TBL > FCM > CP > LBL. …”
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The data mining and high-performance network model of tourism electronic word of mouth for analysis of factors influencing tourists’ purchasing behavior by Wei Chen

“…The relationship among tourists, products, and word of mouth (WOM) is represented as a complex network to analyze and predict event occurrence patterns and influencing factors in tourism electronic word-of-mouth (EWOM) data. …”
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D4Care: A Deep Dynamic Memory-Driven Cross-Modal Feature Representation Network for Clinical Outcome Prediction by Binyue Chen, Guohua Liu

“…Besides, we use gating mechanisms and dynamic memory components to enable the model to learn feature information of different historical-current patterns, further improving the model’s performance. …”
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Detection and Mitigation of Distributed Denial of Service Attacks Using Ensemble Learning and Honeypots in a Novel SDN-UAV Network Architecture by Mohamed Amine Ould Rabah, Hamza Drid, Yasmine Medjadba, Mohamed Rahouti

“…The combination of Software-Defined Networking (SDN) with Unmanned Aerial Vehicles (UAVs) has transformed wireless communication and data transmission. …”
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DSGAU: Dual-Scale Graph Attention U-Nets for Hyperspectral Image Classification With Limited Samples by Hongzhuang Ji, Leying Song, Zhaohui Xue, Hongjun Su

“…Graph convolutional networks (GCNs) exhibit remarkable capabilities in hyperspectral image (HSI) classification tasks, primarily due to their ability to establish long-range pixel correlations. …”
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Automated diagnosis and classification of metacarpal and phalangeal fractures using a convolutional neural network: a retrospective data analysis study by Michael Axenhus, Anna Wallin, Jonas Havela, Sara Severin, Ablikim Karahan, Max Gordon, Martin Magnéli

“…We aimed to train and evaluate a convolutional neural network (CNN) model to diagnose metacarpal and phalangeal fractures using plain radiographs according to the AO/OTA classification system and custom classifiers. …”
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A Hybrid Method Combining Variational Mode Decomposition and Deep Neural Networks for Predicting PM2.5 Concentration in China by Senlin Li, Bo Tang, Xiaowu Deng

“…A single deep learning architecture often struggles to achieve satisfactory results for PM2.5 prediction due to the difficulty in accurately capturing hidden spatio-temporal patterns within time series. To address this issue, this study introduces a hybrid parallel method (VDPS) that combines variational mode decomposition (VMD) with single deep neural networks for PM2.5 concentration prediction. …”
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Identification of MYC and STAT3 for early diagnosis based on the long noncoding RNA-mRNA network and bioinformatics in colorectal cancer by Kunhou Yao, Hao Fan, Tiancheng Yang, Can Yang, Guibin Wang, Xingwang Li, Xin-Ying Ji, Qun Wang, Shaojiang Lv, Shihao Guo

“…Bioinformatics analysis was performed to explore lncRNA-mRNA networks, leading to the identification of five potential blood biomarkers. …”
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Evaluation of Morphometric Factors on the Distribution of Debris: A Case Study on the Attica Ripples on the South of Paveh- Kermanshah Province, Iran by Mohammad Ahmadi

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