A Novel Technique for Facial Recognition Based on the GSO-CNN Deep Learning Algorithm by Rana H. Al-Abboodi, Ayad A. Al-Ani

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A novel self‐timing CMOS first‐edge take‐all circuit for on‐chip communication systems by Saleh Abdelhafeez, Shadi M. S. Harb

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A Comparative Study of Various Transfer Learning Models on Skin Cancer Confirmation Methods by Mehmet Ali Altuncu, Kaplan Kaplan, Melih Kuncan

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Fine-art recognition using convolutional transformers by Yu Liu, Haozhe Bai, Jingchao Wang

“…Digital image processing is a constantly evolving field encompassing a wide range of techniques and applications. …”
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Application of the Think Aloud and System Usability Scale (SUS) Methods in Usability Evaluation in Online Transportation Applications for the Elderly by Aneke Putri Nadila, Tranggono, Mega Cattleya Prameswari Anissa Islami

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Expeditious Dynamic Clustering in Preprocessing for High-Performance Classification by Anamika Pimpa, Narissara Eiamkanitchat

“…The algorithm proposed herein streamlines the process of data comprehension, simultaneously ensuring high efficiency in classification outcomes. …”
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Sentiment Analysis of Public Comments on X Social Media Related to Israeli Product Boycotts Using The Long Short-Term Memory (LSTM) Method by Pitra Rahmadani Panggabean, Asrianda Asrianda, Hafizh Al-Kausar Aidilof

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Implementation of the C4.5 Decision Tree Algorithm in Determining PIP Recipient Students Based on Poverty by Heri Susanto, Dwi Yanto, Jamal Jamal, Choirul Anam, Thohirotun Nafisah

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Efficient Parallel Carrier Recovery for Ultrahigh Speed Coherent QAM Receivers with Application to Optical Channels by Pablo Gianni, Laura Ferster, Graciela Corral-Briones, Mario R. Hueda

“…In order to enable a parallel-processing implementation in multigigabit per second receivers, a new approximation to the DPLL computation is introduced. …”
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Selected Papers from SPL 2008: Programmable Logic and Applications by Gustavo Sutter, Richard Katz

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Design of the Urban Lighting Control System Based on Optical Multisensor Technology and the GM Model by Weili Wu, Xiang Tang

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A hybrid extraction model for semantic knowledge discovery of water conservancy big data by Yanna Feng, Feng Zhang, Yongheng Zhang, Jiangang Dong, PengJu Wang

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Bone Segmentation in Low-Field Knee MRI Using a Three-Dimensional Convolutional Neural Network by Ciro Listone, Diego Romano, Marco Lapegna

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Enhancing the FFT-LSTM Time-Series Forecasting Model via a Novel FFT-Based Feature Extraction–Extension Scheme by Kyrylo Yemets, Ivan Izonin, Ivanna Dronyuk

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CurriMAE: curriculum learning based masked autoencoders for multi-labeled pediatric thoracic disease classification by Taeyoung Yoon, Daesung Kang

“…However, determining the optimal masking ratio requires extensive experimentation, resulting in significant computational overhead. To address this challenge, we propose CurriMAE, a curriculum-based training approach that progressively increases the masking ratio during pretraining to balance task complexity and computational efficiency. …”
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Fault Diagnosis Method for UHVDC Transmission Based on Deep Learning under Cloud-Edge Architecture by Shihao Zhou, Benren Pan, Dongbin Lu, Yiming Zhong, Guannan Wang

“…First, based on the edge computing framework of the “cloud” + “edge terminal,” a four-layer fault diagnosis structure including the data integration layer, edge prediction layer, cloud diagnosis layer, and human-computer interaction layer is constructed. …”
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Design of performance evaluation method for higher education reform based on adaptive fuzzy algorithm by Dakun Yang, Muhammad Sheraz Arshad Malik

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Synchronization and Optimal Operation of a 140 kVA Inverter in On-Grid Mode Using Mamdani Controllers in Cascade by Jesús Rodríguez-Flores, Victor Herrera-Perez, Javier Gavilanes, Andrés Morocho, Jorge Hernandez-Ambato

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Reconstructing unreadable QR codes: a deep learning based super resolution strategy by Yasin Sancar

“…Quick-response (QR) codes have become an integral component of the digital transformation process, facilitating fast and secure information sharing across various sectors. …”
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Fishing operation type recognition based on multi-branch convolutional neural network using trajectory data by Bohui Jiang, Weifeng Zhou

“…To address this, this study proposes a novel framework integrating Geohash-based geocoding with embedding techniques inspired by natural language processing to extract spatiotemporal features from trajectory sequences. …”
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