Enhancing Fraud Detection in Banking With Deep Learning: Graph Neural Networks and Autoencoders for Real-Time Credit Card Fraud Prevention by Fawaz Khaled Alarfaj, Shabnam Shahzadi

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Enhancing Anomaly Detection Through Latent Space Manipulation in Autoencoders: A Comparative Analysis by Tomasz Walczyna, Damian Jankowski, Zbigniew Piotrowski

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Outlier Detection and Correction in Smart Grid Energy Demand Data Using Sparse Autoencoders by Levi da Costa Pimentel, Ricardo Wagner Correia Guerra Filho, Juan Moises Mauricio Villanueva, Yuri Percy Molina Rodriguez

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Discrete variational autoencoders for synthetic nighttime visible satellite imagery by Mickell D. Als, David Tomarov, Steve Easterbrook

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Exploration of Unsupervised Deep Learning-Based Gear Fault Detection for Wind Turbine Gearboxes by Bartłomiej Kiczek, Michał Batsch

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Variational Autoencoders-Based Algorithm for Multi-Criteria Recommendation Systems by Salam Fraihat, Qusai Shambour, Mohammed Azmi Al-Betar, Sharif Naser Makhadmeh

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A Semantic Communication and VVC Based Hybrid Video Coding System by Prabhath Samarathunga, Yasith Ganearachchi, Thanuj Fernando, Adhuran Jayasingam, Indika Alahapperuma, Anil Fernando

Subjects: “…Autoencoders…”
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Artificial intelligence model predicts M2 macrophage levels and HCC prognosis with only globally labeled pathological images by Huiyuan Tian, Yongshao Tian, Dujuan Li, Minfan Zhao, Qiankun Luo, Lingfei Kong, Tao Qin

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Comparing factor mixture modeling and conditional Gaussian mixture variational autoencoders for cognitive profile clustering by Matteo Orsoni, Sara Giovagnoli, Sara Garofalo, Noemi Mazzoni, Matilde Spinoso, Mariagrazia Benassi

Subjects: “…variational autoencoders…”
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Brain tumor classification using GAN-augmented data with autoencoders and Swin Transformers by Abdullah Almuhaimeed, Anas Bilal, Abdulkareem Alzahrani, Malek Alrashidi, Mansoor Alghamdi, Raheem Sarwar

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Coherent Spectral Feature Extraction Using Symmetric Autoencoders by Archisman Bhattacharjee, Pawan Bharadwaj

Subjects: “…Autoencoders…”
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IoT-based prediction model for aquaponic fish pond water quality using multiscale feature fusion with convolutional autoencoder and GRU networks by Suma Christal Mary Sundararajan, Yamini Bhavani Shankar, Sinthia Panneer Selvam, Nalini Manogaran, Koteeswaran Seerangan, Deepa Natesan, Shitharth Selvarajan

Subjects: “…Multi-scale feature fusion-based convolutional autoencoder with gated recurrent unit…”
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Bias-Aware Generative AI for fair customer segmentation: a VAE and BIRCH clustering approach by Shivranjani Bharatbhai Gajjar, Vivekanand Mishra

Subjects: “…Variational autoencoders (VAE)…”
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Deterministic weather forecasting models based on intelligent predictors: A survey by K.U. Jaseena, Binsu C. Kovoor

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Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders by Muhammad Sajid, Kaleem Razzaq Malik, Ateeq Ur Rehman, Tauqeer Safdar Malik, Masoud Alajmi, Ali Haider Khan, Amir Haider, Seada Hussen

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Comparative Study of Machine Learning and Deep Learning Models for Early Prediction of Ovarian Cancer by Hardik Dhingra, Roopashri Shetty

Subjects: “…Autoencoders…”
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Enhancing breast cancer classification using a deep sparse wavelet autoencoder approach by Sarah A. Alzakari, Salima Hassairi, Amel Ali Al. Hussan, Ridha Ejbali

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Machine learning approach to reconstruct density matrices from quantum marginals by Daniel Uzcategui-Contreras, Antonio Guerra, Sebastian Niklitschek, Aldo Delgado

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Deep Learning for Ore Haulage Monitoring: Vibrational Analysis Using a VGG16 Network by Artur Skoczylas, Pawel Stefaniak, Sergii Anufriiev, Wioletta Koperska

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Integrating autoencoder and decision tree models for enhanced energy consumption forecasting in microgrids: A meteorological data-driven approach in Djibouti by Fathi Farah Fadoul, Abdoulaziz Ahmed Hassan, Ramazan Çağlar

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