Four-path unsupervised learning-based image defogging network by Wei LIU, Cheng CHEN, Rui JIANG, Tao LU

“…To solve the problems of supervised network and unsupervised network in the field of single image defogging, a four-path unsupervised learning-based image defogging network based on cycle generative adversarial network (CycleGAN) was proposed, which mainly included three sub-networks: defogging network, synthetic fog network and attention feature fusion network.The three sub-networks were sequentially combined to construct four learning paths, which were the defogging path, the color-texture recovery path for defogged result, the synthetic fog path, and the color-texture recovery path for synthetic fog result.Specifically, in the synthetic fog network, to better constrain the defogging network to generate higher quality fogfree images, the atmospheric scattering model (ASM)was introduced to enhance the mapping transformation of the network from the foggy image domain to the fogfree image domain.Furthermore, to further improve the image generation quality of the defogging network and the synthetic fog network, an attention feature fusion network was proposed.The proposed network was based on several fog-derived images, which adopts a multi-channel mapping structure and an attention mechanism to enhance the recovery of color and texture details.Extensive experiments on both synthetic and real-world datasets show that the proposed method can better restore the color and texture details information of foggy images in various scenes.…”
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Mapping Grayscale Images to Colour Space Using Deep Learning by Anu Saini, Jyoti Tripathi

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YOLOv11-HRS: An Improved Model for Strawberry Ripeness Detection by Jianhua Liu, Jing Guo, Suxin Zhang

“…Furthermore, the RepNCSPELAN4_L module is devised to enhance multi-scale target representation through contextual feature aggregation. Simultaneously, a 160 × 160 small-target detection head is embedded in the feature pyramid to enhance the detection capability of small targets. …”
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A multi-scale multi-channel CNN introducing a channel-spatial attention mechanism hyperspectral remote sensing image classification method by Ru Zhao, Chaozhu Zhang, Dan Xue

“…Aiming the problems that the classification performance of hyperspectral images in existing classification algorithms is highly dependent on spatial-spectral information and that detailed features are ignored in single convolutional channel feature extraction, resulting in poor generalization performance of the feature extraction model, a multi-scale multi-channel convolutional neural network (MMC-CNN) model is proposed in this paper. …”
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Bearing Faults Diagnosis Method Based on Stacked Auto-Encoder With Graph Regularization for Wind Turbines by LIU Zhan, LIU Jianxun, BAO Yanyang, LI Dazi

“…ObjectivesIn order to solve the problems of low efficiency of fault feature extraction, inaccurate feature representation, and difficulty in adapting existing methods to complex signal requirements in wind turbine bearing fault diagnosis, a fault diagnosis method based on graph regularization was proposed. …”
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JCN: Joint Constraint-Based Human Pose Refinement Networks by Yuru Zhang, Jiayuan Zhao, Xiaodong Su, Hongyan Xu, Meijian Jin

“…It selects an appropriate feature fusion strategy to fuse parallel branch features to improve model robustness. …”
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SODRS: Semisupervised Learning for One-Stage Small Object Detection in Remote Sensing Images by Mingquan Liu, Lei Kuang, Chengjun Li, Jing Tian, Zifang Chen, Xuewu Han

“…Small object detection in remote sensing images faces challenges such as weak features, vulnerability to interference, and limited object visibility. …”
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Abbreviated 12-Hour Postpartum Magnesium Sulphate Therapy is Equally Effective and Safer Than Standard 24-Hour Therapy in Preeclampsia With Severe Features: Results From A Randomi... by Pradip Kumar Saha, Seema Sheokand, L K Dhaliwal, Rashmi Bagga, Lekha Saha

“…Conclusion: In patients having preeclampsia with severe features, 12-hour postpartum MgSO4 therapy is equally effective in preventing eclampsia and has lesser postpartum drowsiness and problems with breast feeding compared to the standard 24-hour therapy. …”
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Enriching the random subspace method with margin theory – a solution for the high-dimensional classification task by Hongyan Xu, Tao Lin, Yingtao Xie, Zhi Chen

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Computing the Deep Semantics of Visual Communications by Trpimir Jeronim Ježić, Marko Maričević, Ivana Pavlović, Miroslav Mikota

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Honeycomb lung segmentation network based on P2T with CNN two-branch parallelism by Zhichao Li, Gang Li, Ling Zhang, Guijuan Cheng, Shan Wu

“…In the encoder, the Pyramid Pooling Transformer (P2T) backbone is used as the Transformer branch to obtain the global features of the lesions, the convolutional branch is used to extract the lesions’ local feature information, and the feature fusion module is designed to effectively fuse the features in the dual branches; subsequently, in the decoder, the channel prior convolutional attention is used to enhance the localization ability of the model to the lesion region. …”
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LOCAL LINEAR EMBEDDING ALGORITHM FOR PARAMETER MATRIX MEASUREMENT IN SYMMETRIC POSITIVE DEFINITE MANIFOLD (MT) by LIU QingQiang, HE HongKai, ZHENG ChangMin, SUN YanRu, LIU ZiXuan

“…Most of the existing local linear embedding algorithms assume that the original data set is located in Euclidean space, but in reality almost all the original space is non-Euclidean space. Aiming at the problem that Euclidean space cannot effectively describe the nonlinear structure of the data and affects the performance of the feature extraction of the local linear embedding（LLE） algorithm, a local linear embedding algorithm based on the parameter matrix measurement on a symmetric positive definite（SPD-PMM-LLE） manifold is proposed. …”
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Novel Multiple Criteria Group Decision-Making Method Based on Hesitant Fuzzy Clustering Algorithm by Hongya Bian, Deqing Li, Yuang Liu, Rong Ma, Wenyi Zeng, Zeshui Xu

“…The aim of this paper is to investigate the multiple criteria group decision-making problem in which the evaluation values provided by experts construct some hesitant fuzzy numbers. …”
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Privacy-Preserving Continual Federated Clustering via Adaptive Resonance Theory by Naoki Masuyama, Yusuke Nojima, Yuichiro Toda, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota

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YOLOv8-UCB: Visual Detection of Pouch Battery Using Improved YOLOv8 by Hao Hao, Xiang Yu

“…First, while retaining the original network structure, we replaced the backbone of YOLOv8 with the UniRepLKNet feature extraction network to achieve a larger receptive field. …”
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An interactive address matching method based on a graph attention mechanism by Ming Li, Jialin Su, Zhiyu Song, Juping Qiu, Yongping Lin

“…Problem:: Modernizing and standardizing place names and addresses is a key challenge in the development of smart cities. …”
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Enhanced Offline Writer Recognition System Employing Blended Multi-Input CNN and Bi-LSTM Model on Diverse Handwritten Texts by Naresh Purohit, Subhash Panwar

“…Since author’s writing styles are often ambiguous, writer recognition is an appealing research problem for handwritten manuscript investigation. …”
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K-Gen PhishGuard: an Ensemble Approach for Phishing Detection with K-Means and Genetic Algorithm by Ali Al-Hafiz, Adnan Jabir, Shamala Subramaniam

“… Phishing detection is considered a critical problem in cybersecurity, and utilising machine learning with an efficient feature selection method for precisely identifying malicious websites is deemed the most critical challenge. …”
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Prediction of PD-L1 and CD68 in Clear Cell Renal Cell Carcinoma with Green Learning by Yixing Wu, Alexander Shieh, Steven Cen, Darryl Hwang, Xiaomeng Lei, S. J. Pawan, Manju Aron, Inderbir Gill, William D. Wallace, C.-C. Jay Kuo, Vinay Duddalwar

“…Our approach includes radiomic feature extraction, redundancy removal, and supervised feature selection through a discriminant feature test (DFT), a relevant feature test (RFT), and least-squares normal transform (LNT) for robust feature generation. …”
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Breeding value of prolific maize varieties with nicking of parental lines by E. B. Khatefov, R. A. Kudaev, R. S. Kushkhova

“…Among the genetic reserves of the multiple-ear feature in maize are its wild relatives, such as teosinte (Zea mays L. subsp. mexicana (Schrad.) …”
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