Manhattan Correlation Attention Network for Metal Part Anomaly Classification by Zijiao Sun, Yanghui Li, Fang Luo, Zhiliang Zhang, Jiaqi Huang, Qiming Zhang

“…To address these problems, a Manhattan Correlation Attention Network (MCA-Net) is proposed for anomaly classification from the metal part, where the Manhattan Retentive Attention (MRA) module is designed to search for small anomaly regions by global information modeling, and the Structural Contextual Attention (SCA) module is devised to discriminate the similar abnormal regions from the normal ones by aggregating contextual structured dependency. …”
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Detection of COVID-19 Using a Pre-trained CNN Model Over Chest X-ray Images by Mohammadreza Behnia, Touba Torabipour, Safieh Siadat

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Evenness and hairiness measurement of chenille yarn based on an improved pixel difference convolution for the pixel difference network by Chenghan Yang, Yun Xu, Jianpeng Zhang, Jianxin Zhang

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Dual Embedding Transformer Network for Hyperspectral Unmixing by Huadong Yang, Chengbi Zhang

“…Hyperspectral unmixing is an essential task for achieving accurate perception of hyperspectral remote sensing information, aiming to overcome the limitation of spatial resolution and interpret the distribution of land features. …”
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CNN-Based Image Segmentation Approach in Brain Tumor Classification: A Review by Nurul Huda, Ku Ruhana Ku-Mahamud

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Privacy-preserving method for face recognition based on homomorphic encryption. by Zhigang Song, Gong Wang, Wenqin Yang, Yunliang Li, Yinsheng Yu, Zeli Wang, Xianghan Zheng, Yang Yang

“…However, the plaintext storage, computation, and transmission of facial data have posed significant risks of information leakage. To address this issue, this paper proposes a facial recognition framework based on approximate homomorphic encryption (HE_FaceNet), aimed at effectively mitigating privacy leaks during the facial recognition process. …”
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PEMODELAN REGRESI SPASIAL INVESTASI LUAR NEGERI YANG MASUK KE INDONESIA by Muktar Redy Susila, Rizfanni Cahya Putri, Dian Arini

“…The predictor variables used are the number of labor and the net monthly salary. Based on the results of research analysis obtained information that the West Java province is the highest province to get investment funds from abroad. …”
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A Cascaded Network With Coupled High-Low Frequency Features for Building Extraction by Xinyang Chen, Pengfeng Xiao, Xueliang Zhang, Dilxat Muhtar, Luhan Wang

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A drug response prediction method for single-cell tumors combining attention networks and transfer learning by BingWei Zhou, BingWei Zhou, SiLin Sun, SiLin Sun, ShengZheng Liu, ShengZheng Liu, HaiXia Long, HaiXia Long, YuChun Li, YuChun Li

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Evaluating feature selection methods in a hybrid Weibull Freund-Cox proportional hazards model for renal cell carcinoma by Shaymaa Mohammed Ahmed, Majid Khan Majahar Ali, Arshad Hameed Hasan

“… This paper reports a feature selection comparison between Lasso, Elastic Net, and Mutual Information-Support Vector Machine (MI-SVM) that are based on a hybrid Weibull-Freund-Cox Proportional Hazards (WFCPH) model when it is used with renal cell carcinoma (RCC) data. …”
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Seedling Stage Corn Line Detection Method Based on Improved YOLOv8 by LI Hongbo, TIAN Xin, RUAN Zhiwen, LIU Shaowen, REN Weiqi, SU Zhongbin, GAO Rui, KONG Qingming

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Patients’ Health Records Management in Ugandan Hospitals: A Case of Kabale Regional Referral Hospital by Daniel, Nabimanya, Sembatya, Richard, Ambrose, Atuhaire, Phelix, Businge Mbabazi

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Real-time freshness prediction for Apples and Lettuces using imaging recognition and advanced algorithms in a user-friendly mobile application by Chrysanthos Maraveas, George Kalitsios, Marianna I. Kotzabasaki, Dimitrios V. Giannopoulos, Kosmas Dimitropoulos, Anna Vatsanidou

“…Nine deep algorithms were compared in the research for image classification including Vision Transformer (ViT), Swin Transformer, Residual Networks (ResNet), EfficientNet, ConvNeXt, DeiT, MobileNetV3, MaxViT, and TNT (Transformer in Transformer). …”
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An Omni-Dimensional Dynamic Convolutional Network for Single-Image Super-Resolution Tasks by Xi Chen, Ziang Wu, Weiping Zhang, Tingting Bi, Chunwei Tian

“…Ablation studies further validate the effectiveness and contribution of each component in our network. The proposed ODConvNet offers an effective, flexible, and efficient solution for the SISR task and provides promising directions for future research.…”
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Seasonally Robust Offshore Wind Turbine Detection in Sentinel-2 Imagery Using Imaging Geometry-Aware Deep Learning by Xike Song, Ziyang Li

“…This approach is implemented using Faster R-CNN as the baseline, with three enhanced extensions: (1) direct integration of imaging parameters, where Geowise-Net incorporates solar and view angular information of satellite metadata to improve geometric awareness; (2) implicit geometry learning, where Contrast-Net employs contrastive learning on seasonal image pairs to capture variability in turbine appearance and shadows caused by changes in solar and viewing geometry; and (3) a Composite model that integrates the above two geometry-aware models to utilize their complementary strengths. …”
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A novel approach for breast cancer detection using a Nesterov accelerated adam optimizer with an attention mechanism by Abeer Saber, Tamer Emara, Samar Elbedwehy, Esraa Hassan

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Supervised Anomaly Detection in Univariate Time-Series Using 1D Convolutional Siamese Networks by Ayan Chatterjee, Vajira Thambawita, Michael A. Riegler, Pal Halvorsen

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A COMPARATIVE ANALYSIS OF DEEP TRANSFER LEARNING TECHNIQUES FOR MAMMOGRAPHIC IMAGE CLASSIFICATION by Bhavesh Gupta, Akshay Singh, Anjana Gosain

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Overlapping Community Detecting Based on Complete Bipartite Graphs in Micro-Bipartite Network Bi-Egonet by Furong Chang, Bofeng Zhang, Yue Zhao, Songxian Wu, Kenji Yoshigoe

“…It plays an important role in information recommendation and public opinion control. …”
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Multiscale Convolutional Fusion Network for Efficient Monaural Speech Separation by Rui Yang, Shanliang Pan

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