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Deep learning

Optimizing LSTM networks and feature selection algorithms using GEE data

Mohammad Kazemi, Reza Naderi Samani, Narges Kariminejad

Research on epilepsy detection and recognition based on the combination of time frequency transform and deep learning model

Canhui Wang, Yan Li, [ ... ], Zongfang Ren

Residual-guided hybrid framework for adversarially robust deep learning-based network intrusion detection

Sudip Saha, Muhammad Arslan Pervaiz, [ ... ], Jannatul Maua

Density-equalized RANDT scan matching with integrated outlier removal and point density uniformity

Anila Johnson, Umashankar Subramaniam, HyungSeok Kim, Divya Udayan J

FedEmoNet: Privacy-preserving federated learning with TCN-Transformer fusion for cross-corpus speech emotion recognition

Mohammed Tawfik, Razan Ali Obeidat, [ ... ], Ahmad Dalalah

A two-stage deep learning framework for lead instrument recognition in polyphonic music featuring Chinese instruments

Jiaxiang Zheng, Moxi Cao, Chongbin Zhang

Improving detection accuracy of heterogeneity in biological tissues through the combination of modulation-demodulation frame accumulation techniques and enhanced vgg16

Fulong Liu, Siyuan Huang, [ ... ], Junqi Wang

Toward leveraging intrinsic point cloud features in 3D adversarial attacks

Hanieh Naderi, Chinthaka Dinesh, Ivan V. Bajić, Shohreh Kasaei

A GNN-based approach for accurate trade balance forecasting and interpretable analysis

Yifei Huang, Zhiyuan He, Cheng Ding

A convenient method for the accurate identification of Citri Reticulatae Pericarpium using image and multi-stream

Zhiyi Wu, Tianshu Wang, [ ... ], Xichen Yang

Probabilistic reliability assessment of reservoir-area colluvial landslides considering rotated spatial variability of geotechnical parameters

Haifu Tang, Zhile Xu, [ ... ], Long Qin

Justifying model complexity: Evaluating transfer learning against classical models for intraoperative nociception monitoring under anesthesia

Chanseo Lee, Jaihyoung Lee, Kimon-Aristotelis Vogt, Muhammad Munshi

Analyzing the performance of deep learning splice prediction algorithms

Nathan Fortier, Gabe Rudy, Andreas Scherer

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