Improved tooth flank region segmentation method of interference image by U-net neural network by YANG Pengcheng, ZHANG Jinjing, LI Xiaocheng, MENG Jie, KANG Leqian

“…To solve this problem, this paper presents a tooth flank region segmentation method based on improved U-net neural network. Firstly, the SE attention mechanism was introduced into the traditional U-net architecture to improve the recognition accuracy of the tooth flank region. …”
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SDRFPT-Net: A Spectral Dual-Stream Recursive Fusion Network for Multispectral Object Detection by Peida Zhou, Xiaoyong Sun, Bei Sun, Runze Guo, Zhaoyang Dang, Shaojing Su

“…Multispectral object detection faces challenges in effectively integrating complementary information from different modalities in complex environmental conditions. …”
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Refining digital security with EfficientNetV2-B2 deepfake detection techniques by G.N. Vivekananda, T.R. Mahesh, Muskan Gupta, Arastu Thakur, Anu Sayal

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A Hybrid Approach of DenseNet121 with Attention and Bi-LSTM for Yoga Pose Estimation by Aarthy K., Alice Nithya

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CropsDisNet: An AI-Based Platform for Disease Detection and Advancing On-Farm Privacy Solutions by Mohammad Badhruddouza Khan, Salwa Tamkin, Jinat Ara, Mobashwer Alam, Hanif Bhuiyan

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Comprehensive Style Transfer for Facial Images Using Enhanced Feature Attribution in Generative Adversarial Nets by Yongseon Yoo, Seonggyu Kim, Jong-Min Lee

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Enhanced AlexNet with Gabor and Local Binary Pattern Features for Improved Facial Emotion Recognition by Furkat Safarov, Alpamis Kutlimuratov, Ugiloy Khojamuratova, Akmalbek Abdusalomov, Young-Im Cho

“…The model effectively utilizes texture information from faces through Gabor and Local Binary Pattern (LBP) feature extraction techniques. …”
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Privacy-Preserving U-Net Variants with pseudo-labeling for radiolucent lesion segmentation in dental CBCT by Amelia Ritahani Ismail, Faris Farhan Azlan, Khairul Akmal Noormaizan, Nurul Afiqa, Syed Qamrun Nisa, Ahmad Badaruddin Ghazali, Andri Pranolo, Shoffan Saifullah

“…This study proposes a privacy-preserving segmentation framework leveraging multiple U-Net variants—U-Net, DoubleU-Net, U2-Net, and Spatial Attention U-Net (SA-UNet)—to address challenges posed by limited labeled data and patient confidentiality concerns. …”
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HMA-Net: a hybrid mixer framework with multihead attention for breast ultrasound image segmentation by Soumya Sara Koshy, L. Jani Anbarasi

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GFA-Net: Geometry-Focused Attention Network for Six Degrees of Freedom Object Pose Estimation by Shuai Lin, Junhui Yu, Peng Su, Weitao Xue, Yang Qin, Lina Fu, Jing Wen, Hong Huang

“…Many approaches incorporate supplementary information, such as depth data, to derive valuable geometric characteristics. …”
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Optimizing net-zero energy strategies in airports through a hybrid multi-method framework by Filiz Mizrak, Kagan Cenk Mizrak, Turhan Karakaya

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The Assessment of the Spatiotemporal Characteristics of Net Water Erosion and Its Driving Factors in the Yellow River Basin by Zuotang Yin, Yanlei Zuo, Xiaotong Xu, Jun Chang, Miao Lu, Wei Liu

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Automated severity level estimation of wheat rust using an EfficientNet-CBAM hybrid model by Sapna Nigam, Rajni Jain, Vaibhav Kumar Singh, Ashish Kumar Singh, Hari Krishna, Hari Krishna

“…This paper introduces an automated wheat rust severity stage estimation model utilizing the EfficientNet architecture and attention mechanism. The convolutional Block Attention Module was integrated into EfficientNet-B0 in place of the SE module to enhance feature extraction by simultaneously considering channel and spatial information. …”
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ResNet-SE-CBAM Siamese Networks for Few-Shot and Imbalanced PCB Defect Classification by Chao-Hsiang Hsiao, Huan-Che Su, Yin-Tien Wang, Min-Jie Hsu, Chen-Chien Hsu

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APD-BayNet: Jakarta Air Quality Index Prediction Using Bayesian Optimized Tabnet by Raey Faldo, Satria Mandala, Rina Pudji Astuti, Ary Setijadi Prihatmanto, Mohd Soperi Mohd Zahid

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Real-Time ConvNext-Based U-Net with Feature Infusion for Egg Microcrack Detection by Chenbo Shi, Yuejia Li, Xin Jiang, Wenxin Sun, Changsheng Zhu, Yuanzheng Mo, Shaojia Yan, Chun Zhang

“…Leveraging edge features and spatial continuity of cracks, we incorporate an edge feature infusion module in the encoder and design a multi-scale feature aggregation strategy in the decoder to enhance the extraction of both local details and global semantic information. By introducing large convolution kernels and depth-wise separable convolution from ConvNext, the model significantly reduces network parameters compared to the original U-Net. …”
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An Efficient Optimal CapsNet Model-Based Computer-Aided Diagnosis for Gastrointestinal Cancer Classification by Fahdah A Almarshad, Prasanalakshmi Balaji, Liyakathunisa Syed, Eman Aljohani, Santhi Muttipoll Dharmarajlu, Thavavel Vaiyapuri, Nourah Ali AlAseem

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PolyAttractNet: Graph-Based Polygonal Segmentation of Building Footprints Using Attraction Field Maps by M. Kamran, M. Moein Sheikholeslami, G. Sohn

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Ensemble-based sesame disease detection and classification using deep convolutional neural networks (CNN) by Abenet Alazar Hailu, Banchalem Chebudie Kassa, Esubalew Asmare Desta, Fikadu Berie Adugna, Ayodeji Olalekan Salau

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Enhancing agricultural data interpretability and visualization with TabNet-driven feature extraction and Local Biplots by J. Triana-Martinez, A. Álvarez-Meza, G. Castellanos-Dominguez

“…This study introduces the TabNet-informed UMAP-based Local Biplot (UL-Biplot) framework, which combines TabNet's attention-based feature attribution with a Local Biplot technique from the widely recognized Uniform Manifold Approximation and Projection (UMAP). …”
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