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Publication search results
found 14,956 matches
- 2025
- Lindong He, Yim Hak-soon:
Research on the E-learning platform for art teaching and immersive digital entertainment experience based on improved neural networks. Entertain. Comput. 52: 100768 (2025) - Xinyi Wang:
E-Learning system application in art entrepreneurship teaching based on multimodal feature fusion and neural network. Entertain. Comput. 52: 100709 (2025) - Bing Zhao, Deng Pan:
Immersive e-learning application in intelligent teaching of English composition based on neural network algorithm. Entertain. Comput. 52: 100710 (2025) - Xuepeng Ren, Maocai Wang, Guangming Dai, Lei Peng, Xiaoyu Chen, Zhiming Song:
Multi-objective evolutionary algorithm based on transfer learning and neural networks: Dual operator feature fusion and weight vector adaptation. Inf. Sci. 686: 121364 (2025) - Huiping Zhuang, Zhiping Lin, Yimin Yang, Kar-Ann Toh:
An analytic formulation of convolutional neural network learning for pattern recognition. Inf. Sci. 686: 121317 (2025) - 2024
- Johannes von Oswald:
Interpretability of Learning Algorithms Encoded in Deep Neural Networks. ETH Zurich, Zürich, Switzerland, 2024 - Sandra Nestler:
A statistical perspective on learning of time series in neural networks. RWTH Aachen University, Germany, 2024 - Felix Wiewel:
Rehearsal-based continual learning with deep neural networks for image classification. University of Stuttgart, Germany, 2024 - David López Bueno:
Machine learning techniques for adaptive polynomial and neural network digital predistorters. Polytechnic University of Catalonia, Spain, 2024 - Giuseppe Pezzano:
Optimization of neural networks for deep learning and applications to CT image segmentation. University of Barcelona, Spain, 2024 - Chenshen Wu:
Going beyond Classification Problems for the Continual Learning of Deep Neural Networks. Autonomous University of Barcelona, Spain, 2024 - Mabrook S. Al-Rakhami, Salman Ali AlQahtani, Abdulaziz Alawwad:
Effective Skin Cancer Diagnosis Through Federated Learning and Deep Convolutional Neural Networks. Appl. Artif. Intell. 38(1) (2024) - Noor Kamal Al-Qazzaz, Alaa A. Aldoori, Ali K. Buniya, Sawal Hamid Bin Mohd Ali, Siti Anom Ahmad:
Transfer Learning and Hybrid Deep Convolutional Neural Networks Models for Autism Spectrum Disorder Classification From EEG Signals. IEEE Access 12: 64510-64530 (2024) - Bileesh Plakkal Babu, Swathi Jamjala Narayanan:
Optimizing Target Recognition in Synthetic Aperture Radar Imagery: A Hyperparameter- Tuned Approach With Iterative Transfer Learning and Branched-Convolutional Neural Network. IEEE Access 12: 28484-28499 (2024) - Shavantrevva Bilakeri, Karunakar A. Kotegar:
Learning to Track With Dynamic Message Passing Neural Network for Multi-Camera Multi-Object Tracking. IEEE Access 12: 63317-63333 (2024) - Pervin Bulucu, Mert Nakip, Cüneyt Güzelis:
Multi-Sensor E-Nose Based on Online Transfer Learning Trend Predictive Neural Network. IEEE Access 12: 71442-71452 (2024) - Ugurcan Çelik, Mustafa Umut Demirezen:
Optimal Reusable Rocket Landing Guidance: A Cutting-Edge Approach Integrating Scientific Machine Learning and Enhanced Neural Networks. IEEE Access 12: 16805-16829 (2024) - Omkumar Chandraumakantham, Srinitish Srinivasan, Varenya Pathak:
Detecting Side Effects of Adverse Drug Reactions Through Drug-Drug Interactions Using Graph Neural Networks and Self-Supervised Learning. IEEE Access 12: 93823-93840 (2024) - Sareh Soleimani Gilakjani, Hussein Al Osman:
A Graph Neural Network for EEG-Based Emotion Recognition With Contrastive Learning and Generative Adversarial Neural Network Data Augmentation. IEEE Access 12: 113-130 (2024) - Gabriel Gonzalez-Sahagun, Santiago Enrique Conant-Pablos, José Carlos Ortiz-Bayliss, Jorge M. Cruz-Duarte:
A Generalist Reinforcement Learning Agent for Compressing Convolutional Neural Networks. IEEE Access 12: 51100-51114 (2024) - V. Soni Ishwarya, Mohanaprasad Kothandaraman:
Novel TransQT Neural Network: A Deep Learning Framework for Acoustic Echo Cancellation in Noisy Double-Talk Scenario. IEEE Access 12: 114735-114744 (2024) - Md Rayhan Khan, Constantinos L. Zekios, Shubhendu Bhardwaj, Stavros V. Georgakopoulos:
A Deep Learning Convolutional Neural Network for Antenna Near-Field Prediction and Surrogate Modeling. IEEE Access 12: 39737-39747 (2024) - Sukrit Leelaluk, Cheng Tang, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada:
Attention-Based Artificial Neural Network for Student Performance Prediction Based on Learning Activities. IEEE Access 12: 100659-100675 (2024) - Dandan Li, Wenling Li, Yanmei Zhao, Xutao Liu:
The Analysis of Deep Learning Recurrent Neural Network in English Grading Under the Internet of Things. IEEE Access 12: 44640-44647 (2024) - Claudio Marrocco, Alessandro Bria, Francesco Tortorella, Sara Parrilli, Luca Cicala, Mariano Focareta, Giuseppe Meoli, Mario Molinara:
Illegal Microdumps Detection in Multi-Mission Satellite Images With Deep Neural Network and Transfer Learning Approach. IEEE Access 12: 79585-79601 (2024) - Mohamed Merrouchi, Khalid Atifi, Mustapha Skittou, Youssef Ben Youssef, Taoufiq Gadi:
AutoLrOpt: An Efficient Optimizer Using Automatic Setting of Learning Rate for Deep Neural Networks. IEEE Access 12: 83154-83168 (2024) - Malik Sajjad Ahmed Nadeem, Muhammad Hammad Waseem, Wajid Aziz, Usman Habib, Anum Masood, Muhammad Attique Khan:
Hybridizing Artificial Neural Networks Through Feature Selection Based Supervised Weight Initialization and Traditional Machine Learning Algorithms for Improved Colon Cancer Prediction. IEEE Access 12: 97099-97114 (2024) - Soohyun Park, Soyi Jung, Joongheon Kim:
Dynamic Quantum Federated Learning for Satellite-Ground Integrated Systems Using Slimmable Quantum Neural Networks. IEEE Access 12: 58239-58247 (2024) - Hongliang Qi, Chao Long, Hanwei Li, Shuang Huang, Debin Hu, Yuan Xu, Hongwen Chen:
Direct Filter Learning From Iterative Reconstructed Images for High-Quality Analytical CBCT Reconstruction Using FDK-Based Neural Network. IEEE Access 12: 121495-121506 (2024) - Saeid Safaei, Zerotti Woods, Khaled Rasheed, Thiab R. Taha, Vahid Safaei, Juan B. Gutierrez, Hamid R. Arabnia:
SWAG: A Novel Neural Network Architecture Leveraging Polynomial Activation Functions for Enhanced Deep Learning Efficiency. IEEE Access 12: 73363-73375 (2024)
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