Advanced AI-assisted panoramic radiograph analysis for periodontal prognostication and alveolar bone loss detection by Jarupat Jundaeng, Jarupat Jundaeng, Jarupat Jundaeng, Rapeeporn Chamchong, Choosak Nithikathkul, Choosak Nithikathkul

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An End-to-End Brain Computer Interface System for Mental Workload Estimation through Hybrid Deep Learning Model by Vipul Sharma, Mitul Kumar Ahirwal

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Hybrid Deep Learning Model for Fault Diagnosis in Centrifugal Pumps: A Comparative Study of VGG16, ResNet50, and Wavelet Coherence Analysis by Wasim Zaman, Muhammad Farooq Siddique, Saif Ullah, Faisal Saleem, Jong-Myon Kim

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AI-Driven Electrical Fast Transient Suppression for Enhanced Electromagnetic Interference Immunity in Inductive Smart Proximity Sensors by Silvia Giangaspero, Gianluca Nicchiotti, Philippe Venier, Laurent Genilloud, Lorenzo Pirrami

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Autonomous Underwater Pipe Damage Detection Positioning and Pipe Line Tracking Experiment with Unmanned Underwater Vehicle by Seda Karadeniz Kartal, Recep Fatih Cantekin

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A cutting-edge neural network approach for predicting the thermoelectric efficiency of defective gamma-graphyne nanoribbons by Jiayi Guo, Chunfeng Cui, Tao Ouyang, Juexian Cao, Xiaolin Wei

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Enhancing the Transformer Model with a Convolutional Feature Extractor Block and Vector-Based Relative Position Embedding for Human Activity Recognition by Xin Guo, Young Kim, Xueli Ning, Se Dong Min

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Leveraging 3D Convolutional Neural Networks for Accurate Recognition and Localization of Ankle Fractures by Wang H, Ying J, Liu J, Yu T, Huang D

Subjects: “…3d convolutional neural networks…”
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A Hybrid Strategy-Improved SSA-CNN-LSTM Model for Metro Passenger Flow Forecasting by Jing Liu, Qingling He, Zhikun Yue, Yulong Pei

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Smart material selection strategies for sustainable and cost-effective high-performance concrete production using deep learning by T. Seethalakshmi, M. Murugan, P. Maria Antony Sebastin Vimalan

Subjects: “…multi-objective ant colony based adaptive dense convolutional neural networks (MOAC-ADenseNet)…”
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Spectroscopic Method for Detection of Soluble Solid Content in Cherry Tomato Using Deep Convolutional Generative Adversarial Network-Based Data Augmentation by WU Zhijing, LIU Fuqiang, LI Zhigang, CHEN Hui

Subjects: “…cherry tomatoes; soluble solids content; visible-near-infrared spectroscopy; deep convolutional generative adversarial networks; one-dimensional convolutional neural networks…”
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Towards Self-Conscious AI Using Deep ImageNet Models: Application for Blood Cell Classification by Mohamad Abou Ali, Fadi Dornaika, Ignacio Arganda-Carreras

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Integrating particle swarm optimization with backtracking search optimization feature extraction with two-dimensional convolutional neural network and attention-based stacked bidir... by Jyotirmayee Rautaray, Sangram Panigrahi, Ajit Kumar Nayak

Subjects: “…Dimensional convolution neural network…”
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Improving the Prediction Accuracy of Peony Seed Oil Adulteration Concentration Based on Near-infrared Raman Spectroscopy Combined with LSTM-CNN Model by ZHANG Kai-ping, YANG Qing-bo

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Research on Prediction and Optimization of Airport Express Passenger Flow Based on Fusion Intelligence Network Model by Jin He, Yinzhen Li, Yuhong Chao

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SAG’s Overload Forecasting Using a CNN Physical Informed Approach by Rodrigo Hermosilla, Carlos Valle, Héctor Allende, Claudio Aguilar, Erich Lucic

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Novel Speech-Based Emotion Climate Recognition in Peers’ Conversations Incorporating Affect Dynamics and Temporal Convolutional Neural Networks by Ghada Alhussein, Mohanad Alkhodari, Ahsan H. Khandoker, Leontios J. Hadjileontiadis

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Mapping Habitat Structures of Endangered Open Grassland Species (<i>E. aurinia</i>) Using a Biotope Classification Based on Very High-Resolution Imagery by Steffen Dietenberger, Marlin M. Mueller, Andreas Henkel, Clémence Dubois, Christian Thiel, Sören Hese

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Land use and land cover classification for change detection studies using convolutional neural network by V. Pushpalatha, P.B. Mallikarjuna, H.N. Mahendra, S. Rama Subramoniam, S. Mallikarjunaswamy

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From Binary to Multi-Class: Neural Networks for Structural Damage Classification in Bridge Monitoring Under Static and Dynamic Loading by Andreas Kardoulias, Alexandros Arailopoulos, Panagiotis Seventekidis

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