BreastCNet: Breast Cancer Detection, Classification, and Localization Convolutional Neural Network With Advanced Optimization Techniques by Hassan Mahichi, Vahid Ghods, Mohammad Karim Sohrabi, Arash Sabbaghi

“…The BreastCNet integrated CNNs with the Grey Wolf Optimizer (GWO) and Parrot Optimizer (PO) in a dual-optimization approach. …”
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SwinCNet leveraging Swin Transformer V2 and CNN for precise color correction and detail enhancement in underwater image restoration by Chun Yang, Liwei Shao, Yi Deng, Jiahang Wang, Hexiang Zhai

“…Experimental results on the EUVP dataset demonstrate that SwinCNet achieves PSNR values of 24.1075 dB and 28.1944 dB on the EUVP-UI and EUVP-UD subsets, respectively. …”
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Holistic approach to analysing debates on ecological sustainability over time on X by Javier Gómez Sánchez-Seco, Mary Luz Mouronte-López, Rosa M. Benito

“…The basic structure of CNET, which maintained its key properties, was also examined. …”
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Periapical lesion detection in periapical radiographs using the latest convolutional neural network ConvNeXt and its integrated models by Jian Liu, Xiaohua Liu, Yu Shao, Yongzhen Gao, Kexu Pan, Chaoran Jin, Honghai Ji, Yi Du, Xijiao Yu

“…Abstract To overcome the limitation of a single classification model’s inability to simultaneously identify multiple lesion targets within periapical radiographs, This study proposes YoCNET (Yolov5 + ConvNeXt), a novel deep learning integrated model. …”
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Constructing Cell-Specific Causal Networks of Individual Cells for Depicting Dynamical Biological Processes by Xinzhe Huang, Luonan Chen, Xiaoping Liu

“…Additionally, SiCNet utilizes cell-specific network information to construct network outdegree matrix (ODM), enhancing the performance of cell clustering. …”
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Graph-Based Lexical Sentiment Propagation Algorithm by Tajana Ban Kirigin, Sanda Bujačić Babić, Benedikt Perak

“…To demonstrate the particular benefit for underrepresented languages with scarce sentiment resources, such as Croatian, we used the ConGraCNet Sentiment Propagation algorithm to create the <i>Sentiment-hr</i> dictionary and the AI tool GPT to generate the <i>Sentiment-hr-AI</i> dictionary. …”
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Adaptasi Model CNN Terlatih pada Aplikasi Bergerak untuk Klasifikasi Citra Termal Payudara by Roslidar Roslidar, Muhammad Rizky Syahputra, Rusdha Muharar, Fitri Arnia

“…The CNN model applied in this study was based on ShuffleNet, called BreaCNet, with a learning weight of 1028 filters generated from training on images downloaded from the Database for Mastology Research (DMR) and a model size of 22 MB. …”
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Skin Lesion Segmentation in Clinical Images Using Nonnegative Matrix Factorization and Mutual Information by Eliezer Soares Flores, Jacob Scharcanski

“…The proposed method tends to improve on the segmentation results provided by established deep learning baselines (FCNet, FCN, PSPNet, SegNet, U-Net) and by recent advancements specifically designed for skin lesion segmentation (DSNet, FrCNet, and LGPNet).…”
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Reliability Prediction of Thick Film Hybrid Integrated Circuits by Rumen Pranchov, Veneta Athanassova, Ruslan Georgiev, Stefan Pomakov

“…When using the well known handbooks for reliability predicting (MIL, CNET) some problems occur in quality assessment of components which are not produced according to the requirements of the US military or the French standards. …”
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Synthesis of a Novel Single-Source Precursor for the Production of Lead Chalcogenide Thin Films by Nathaniel Owusu Boadi, Selina Ama Saah, Johannes A. M. Awudza

“…A novel complex [Pb((SePiPr2)2N) (S2CNEt2)] has been synthesized and characterized by microelemental analysis, melting point NMR, and FT-IR spectroscopies. …”
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Net Neutrality in the Content Provision and Internet Service Provision Markets by Turgut Erkul, Sencer Ecer

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A Hierarchical Attention-Guided Data–Knowledge Fusion Network for Few-Shot Gearboxes’ Fault Diagnosis by Xin Feng, Tianci Zhang

“…Experimental results on gearbox fault data demonstrate that the proposed method achieves 0.9880 recognition accuracy with less than 10% of the training samples, significantly outperforming purely data-driven models such as MGAN and CNET, thus verifying its superior generalization ability to train despite data scarcity. …”
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Disturbed small-world networks and neurocognitive function in frontal lobe low-grade glioma patients. by Qingling Huang, Rui Zhang, Xinhua Hu, Shangwen Ding, Jingguang Qian, Ting Lei, Xuan Cao, Ling Tao, Zhiyu Qian, Hongyi Liu

“…Lnet in the two LGG groups both were longer than HCs. Cnet in the LGG groups were smaller than HCs. Compared with the Hcs, MoCA in the two LGG groups were lower than HCs with significant difference, and the disturbed networks in the LGG were negatively related to worse MoCA scores.…”
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Synthesis and Molecular Structure of Iron(III) Diaryl-Dithiocarbamate Complexes, [Fe(S₂CNAr₂)₃], and a Preliminary Study Exploring Their Potential... by Jagodish C. Sarker, Tannith-Jade Cole, Xiang Xu, Firoz Alam, Paul D. McNaughter, Jeremy K. Cockcroft, David J. Lewis, Graeme Hogarth

“…</i> 160 °C) than previously observed for [Fe(S₂CNEt₂)₃], and this is further lowered (to <i>ca.…”
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