Enhancing Fault Detection and Classification in Wind Farm Power Generation Using Convolutional Neural Networks (CNN) by Leveraging LVRT Embedded in Numerical Relays by Tarek Kandil, Adam Harris, Remon Das

“…Numerical relays (NRs) are used to detect faults in power system networks and isolate the power to prevent grid instability in the event of a fault. …”
Get full text

A Temporal Convolutional Network–Bidirectional Long Short-Term Memory (TCN-BiLSTM) Prediction Model for Temporal Faults in Industrial Equipment by Jinyin Bai, Wei Zhu, Shuhong Liu, Chenhao Ye, Peng Zheng, Xiangchen Wang

“…The BiLSTM layer further leverages its bidirectional learning mechanism to model the long-term dependencies in the data, enabling effective predictions of complex fault patterns. Finally, the model outputs the prediction results after iterative optimization. …”
Get full text

BlockDroid: detection of Android malware from images using lightweight convolutional neural network models with ensemble learning and blockchain for mobile devices by Emre Şafak, İbrahim Alper Doğru, Necaattin Barışçı, İsmail Atacak

“…By converting Android DEX files into image data, BlockDroid leverages the superior image analysis capabilities of CNN models to discern patterns indicative of malware. The CICMalDroid 2020 dataset, comprising 13,077 applications, was utilized to create a balanced dataset of 3,590 images, with an equal number of benign and malware instances. …”
Get full text

Deep Learning Approach for Classifying DDoS Attack Traffic in SDN Environments by Mohd Nadeem, Shweta Dwivedi, Rizwan Akhtar, Shameem Ahmad Ansari, Saumya Singh, Eram Fatima Siddiqui, Rajeev Kumar

“…The proposed method uses deep learning to distinguish legitimate traffic from malicious activities, leveraging key traffic flow features such as flow duration, packet size, protocol type, and byte counts. A neural network classifier analyzes this data to identify complex patterns and behaviors associated with DDoS attacks. …”
Get full text

CPS-IIoT-P2Attention: Explainable Privacy-Preserving With Scaled Dot-Product Attention in Cyber-Physical System-Industrial IoT Network by Yakub Kayode Saheed, Joshua Ebere Chukwuere

“…These mechanisms adaptively modify their emphasis to prioritize crucial features within the CPS-IIoT network traffic data, providing additional computational resources to data segments that are likely to include abnormalities and patterns that indicate security issues. …”
Get full text

Repeated net-tDCS of the hypothalamus appetite-control network enhances inhibitory control and decreases sweet food intake in persons with overweight or obesity by Theresa Ester-Nacke, Ralf Veit, Julia Thomanek, Magdalena Book, Lukas Tamble, Marie Beermann, Dorina Löffler, Ricardo Salvador, Giulio Ruffini, Martin Heni, Andreas L. Birkenfeld, Christian Plewnia, Hubert Preissl, Stephanie Kullmann

“…Conclusion: Our study suggests that modulating hypothalamic functional network connectivity patterns via net-tDCS may improve food choice and inhibitory control.…”
Get full text

A Data-Driven Approach for Predicting Remaining Useful Life of Semiconductor Devices Based on Machine Learning and Synthetic Data Generation: A Review and Case Study on SiC MOSFETs by Yarens J. Yarenscruz, Fernando Castano, Alberto Villalonga, Madhav Mishra, Rodolfo E. Haber

“…Data-driven approaches, particularly those methods based on machine learning, are currently being used due to their ability to model complex degradation patterns without the need for explicit physical modeling. …”
Get full text

TRENDS IN HUMAN CAPITAL FORMATION AND EVALUATION OF THE INTERCONNECTION OF SOCIO-DEMOGRAPHIC PROCESSES IN RURAL AREA: A CASE STUDY OF VOLYN REGION, UKRAINE by Tetiana SHMATKOVSKA, Mykola DZIAMULYCH, Antonina GORDIICHUK, Nataliia MOSTOVENKO, Natallia CHYZH, Tetiana KOROBCHUK

Get full text

Adverse childhood experiences and subsequent experiences of intimate partner violence in adulthood: a gender perspective by Zheng Tian, Nan Zhang, Yimiao Li, Yibo Wu, Lan Wang

“…In population-wide and gender-specific networks, The ACE and IPV nodes with the highest expected influence are ‘ACE1 (Verbal abuse + physical abuse pattern)’ and ‘IPV5 (Partner compares me to other people and blatantly accuses me, making me feel embarrassed and unsure of myself)’. …”
Get full text

Evaluation and Prediction of Wind Power Utilization Efficiency Based on Super-SBM and LSTM Models: A Case Study of 30 Provinces in China by Chengyu Li, Qunwei Wang, Peng Zhou

Get full text

Network analysis and experimental validation to investigate chenpi against functional dyspepsia through TLR4/MyD88 by regulating the gut microbial structure by Jinfang Hu, Jinfang Hu, Xu Wang, Xiaoqiu Guo, Wen Wen, Jin Xue, Zhengzheng Liao, Zhengzheng Liao, Lihua Chen

Get full text

Intrusion Detection and Mitigation Method for the Industrial Internet of Things Using Bidirectional Convolutional Long Short-Term Memory and Deep Recurrent Convolutional Q-Networks by Zhang Yan, Piyush Kumar Shukla, Prashant Kumar Shukla, Kanika Thakur, Anurag Sinha, Saifullah Khalid

“…A deep Q-network (DQN) handles attack mitigation and uses reinforcement learning to adjust to new threats. …”
Get full text

Pyramidal attention-based T network for brain tumor classification: a comprehensive analysis of transfer learning approaches for clinically reliable and reliable AI hybrid approach... by Tathagat Banerjee, Prachi Chhabra, Manoj Kumar, Abhay Kumar, Kumar Abhishek, Mohd. Asif Shah

“…To capture more prominent spatial-temporal patterns, we investigated hybrid networks, including NASNet with ANN, CNN, LSTM, and CNN-LSTM variants. …”
Get full text

Graph-Attention Diffusion for Enhanced Multivariate Time-Series Anomaly Detection by Vadim Lanko, Ilya Makarov

Get full text

Safety evaluation of irinotecan: a real-world disproportionality analysis using FAERS and JADER databases during the time period 2004-2024 by Siyu Lou, Huayou Chen, Zhiwei Cui, Xiyuan Zhang, Chengyu Zhu, Linmei Zhou, Yingyong Ou, Fan Zou

Get full text

The Comprehensive Analysis of Weighted Gene Co-Expression Network Analysis and Machine Learning Revealed Diagnostic Biomarkers for Breast Implant Illness Complicated with Breast Ca... by Huang Z, Wang H, Pang H, Zeng M, Zhang G, Liu F

“…The validation of these results was conducted by examining gene expression patterns in the validation dataset, breast cancer cell lines, and BII-BC patients. …”
Get full text

Combined metabolic phenotypes and gene expression profiles revealed the formation of terpene and ester volatiles during white tea withering process by Xuming Deng, Jun Wu, Tao Wang, Haomin Dai, Jiajia Chen, Bo Song, Shaoling Wu, Chenxi Gao, Yan Huang, Weilong Kong, Weijiang Sun

“…Additionally, we also explored the regulation pattern of key genes in the signaling pathway by related transcription factors. …”
Get full text

Enhanced futures price-spread forecasting based on an attention-driven optimized LSTM network: integrating an improved grey wolf optimizer algorithm for enhanced accuracy by Yongli Tang, Zhenlun Gao, Zhongqi Cai, Jinxia Yu, Panke Qin

Get full text

Evaluation and Optimization Strategies for Provincial Culture and Tourism Integration from the Perspective of Landscape Narrative: A Case Study of Anhui Province, China by Yunxi Hong, Li Tu, Minghe Wan

“…Using spatial analytical methods such as Moran’s I and the Spatial Autoregressive (SAR) model, the study identifies clear spatial clustering patterns and influential factors. The SAR model results show that transportation accessibility (coefficient = 0.685, <i>p</i> < 0.01) and policy support (coefficient = 0.736, <i>p</i> < 0.01) significantly promote integration. …”
Get full text

Explainable fully automated CT scoring of interstitial lung disease for patients suspected of systemic sclerosis by cascaded regression neural networks and its comparison with expe... by Jingnan Jia, Irene Hernández-Girón, Anne A. Schouffoer, Jeska K. de Vries-Bouwstra, Maarten K. Ninaber, Julie C. Korving, Marius Staring, Lucia J. M. Kroft, Berend C. Stoel

“…Subsequently, for each level, the second network estimates the ratio of three patterns to the total lung area: the total extent of disease (TOT), ground glass (GG) and reticulation (RET). …”
Get full text