Classification of Toraja Wood Carving Motif Images Using Convolutional Neural Network (CNN) by Nurilmiyanti Wardhani, Billy Eden William Asrul, Antonius Riman Tampang, Sitti Zuhriyah, Abdul Latief Arda

“…This study is highly significant as it implements a deep learning model using the CNN algorithm optimized with the ResNet50 architecture. The methodology in this study involves adjusting the batch size during the model training phase and applying weak-to-strong pixel transformation during the double threshold hysteresis phase in the Canny Feature Extraction process on the edges of Toraja carving images, resulting in ResNet50 architecture accurately recognizing the patterns of Toraja wood carvings. …”
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SingleRecon: Reconstructing Building 3-D Models of LoD1 From a Single Off-Nadir Remote Sensing Image by Ruizhe Shao, JiangJiang Wu, Jun Li, Shuang Peng, Hao Chen, Chun Du

“…ONBuildingNet introduces our proposed cross-field auxiliary task and multiscale mask head to extract building roof polygons with accurate shapes. …”
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Crushed Stone Grain Shapes Classification Using Convolutional Neural Networks by Alexey N. Beskopylny, Evgenii M. Shcherban’, Sergey A. Stel’makh, Irina Razveeva, Alexander L. Mailyan, Diana Elshaeva, Andrei Chernil’nik, Nadezhda I. Nikora, Gleb Onore

“…The classification algorithms were based on the ResNet50, MobileNetV3 Small, and DenseNet121 architectures. …”
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Managing ADHD Symptoms in Children Through the Use of Various Technology-Driven Serious Games: A Systematic Review by Aikaterini Doulou, Pantelis Pergantis, Athanasios Drigas, Charalampos Skianis

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A Tunnel Lining Line Identification Algorithm Based on Supervised Heatmap by Heng SONG, Yisheng ZHANG, Tianbao GENG, Dongjie WANG

“…The curve spacing errors of the recognition results from the CenterNet algorithm, employing the backbone networks ResNet, DLA–34, and Hourglass–104, respectively, are reduced by 0.40, 0.40, and 0.28 pixels. …”
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The impact of organizational work-family culture on the family supportive supervisor behavior by I. Kavindi, S. Thewahettige, A. Dissanayake, R. Weerarathna, C. Kuruppu, N. Jayasuriya, K. Chandeepani, S. Liyanage

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MESM: integrating multi-source data for high-accuracy protein-protein interactions prediction through multimodal language models by Feng Wang, Jinming Chu, Liyan Shen, Shan Chang

“…MESM consists of three key modules, as follows: First, MESM extracts multimodal representations from protein sequence information, protein structure information, and point cloud features through Sequence Variational Autoencoder (SVAE), Variational Graph Autoencoder (VGAE), and PointNet Autoencoder (PAE). …”
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Multimodal Feature-Driven Deep Learning for the Prediction of Duck Body Dimensions and Weight by Wenbo Xiao, Qiannan Han, Gang Shu, Guiping Liang, Hongyan Zhang, Song Wang, Zhihao Xu, Weican Wan, Chuang Li, Guitao Jiang, Yi Xiao

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Effective Cultivated Land Extraction in Complex Terrain Using High-Resolution Imagery and Deep Learning Method by Zhenzhen Liu, Jianhua Guo, Chenghang Li, Lijun Wang, Dongkai Gao, Yali Bai, Fen Qin

“…The accurate extraction of cultivated land information is crucial for optimizing regional farmland layouts and enhancing food supply. …”
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A novel lightweight model for tea disease classification based on feature reuse and channel focus attention mechanism by Junjie Liang, Renjie Liang, Dongxia Wang

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New Approaches to the Interpretation of Balance in the Digital Economy by M. I. Lugachev, N. V. Ulianova, K. G. Skripkin

“…The purpose of the article is to theoretically prove the possibility of generating forecast information in the balance-sheet regarding profit indicators, net inflow of operating money and financial capital. …”
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Development and assessment of a mortality risk prediction nomogram model for pneumocystis disease in ICU within 28 days by Yiru Weng, Tingting Zhou, Honghua Ye

“…The DCA curve indicates that the model application has high accuracy, which leads to a net benefit for population prediction, and the model calibration curve demonstrates good calibration accuracy. …”
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A Refined Terrace Extraction Method Based on a Local Optimization Model Using GF-2 Images by Guobin Kan, Jie Gong, Bao Wang, Xia Li, Jing Shi, Yutao Ma, Wei Wei, Jun Zhang

“…Moreover, leveraging deep learning (DL) models with local adaptive improvements can further enhance the accuracy of interpretation by exploring latent information. In this study, we employed five models: ResU-Net, U-Net++, RVTransUNet, XDeepLabV3+, and ResPSPNet as DL models to extract fine patch terraces from GF-2 images. …”
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ActiveGuard: An active intellectual property protection technique for deep neural networks by leveraging adversarial examples as users' fingerprints by Mingfu Xue, Shichang Sun, Can He, Dujuan Gu, Yushu Zhang, Jian Wang, Weiqiang Liu

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A wheat seedling counting method based on two-stage convolutional neural network by Menghan Li, Lijie Zhang, Chunshan Wang, Chunjiang Zhao, Libo Li, Dongxiao Li, Yaxuan Xu

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IndoHerb: Indonesia medicinal plants recognition using transfer learning and deep learning by Muhammad Salman Ikrar Musyaffa, Novanto Yudistira, Muhammad Arif Rahman, Ahmad Hoirul Basori, Andi Besse Firdausiah Mansur, Jati Batoro

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A Lightweight and High-Accuracy Model for Pavement Crack Segmentation by Yuhui Yu, Wenjun Xia, Zhangyan Zhao, Bin He

“…To address this challenge, this paper proposes a lightweight, fully convolutional neural network model, enhanced with spatial information. First, the backbone network structure is optimized to improve the efficiency of spatial information utilization. …”
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A noise-constrained lightweight high-quality image hiding method based on invertible neural networks by Minghui Zhu, Dapeng Cheng, Yanyan Mao, Lu Sun, Wanting Jing, Yue Kong, Jinjiang Li

“…Abstract Image steganography is an important branch of steganography that aims to hide secret information in a cover image, making it difficult to be detected by the human eye, while allowing only authorized parties to recover the secret information. …”
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Globally scalable glacier mapping by deep learning matches expert delineation accuracy by Konstantin A. Maslov, Claudio Persello, Thomas Schellenberger, Alfred Stein

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An Edge Recognition Method for Insulator State Based on Multi-dimension Feature Fusion by Dongmei HUANG, Yueqi WANG, Anduo HU, Jinzhong SUN, Shuai SHI, Yuan SUN, Lingfeng FANG

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