A dual-stream ordered topology-aware network for accurate fish counting in aquaculture environments by Jiaming Xin, Zhengmeng Wu, Tongtong Gu, Yiying Wang, Dashe Li, Bin Wang

“…To address these issues, we propose a Dual-stream Ordered Topology-aware Network (DOT-Net). First, a dual-stream feature embedding framework based on wavelet transform is introduced to encode high- and low-frequency information separately. …”
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Efficient Building Roof Type Classification: A Domain-Specific Self-Supervised Approach by G. Mutreja, K. Bittner

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Nuanced Music Emotion Recognition via a Semi‑Supervised Multi‑Relational Graph Neural Network by Andreas Peintner, Marta Moscati, Yu Kinoshita, Richard Vogl, Peter Knees, Markus Schedl, Hannah Strauss, Marcel Zentner, Eva Zangerle

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Flood Forecasting with Sentinel-2 Images Using Machine Learning by V. Hnatushenko, V. Hnatushenko, V. Y. Kashtan, V. V. Hnatushenko, C. Heipke

“…This paper proposes a methodology for detecting flooded areas using Sentinel-2 images, followed by flood forecasting based on a combination of the deep neural network U-Net and a support vector machine (SVM). The U-Net architecture classifies a given Sentinel image into the two classes “water” and “no water”, the SVM subsequently performs a near-future prediction of flooded areas based on the U-Net results and additional information (DEM, land use information, precipitation data etc.). …”
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Adaptive hybrid hyperparameter optimization with MRFO and Lévy flight for accurate melanoma classification by Shamsuddeen Adamu, Hitham Alhussian, Said Jadid Abdulkadir, Ayed Alwadin, Sallam O. F. Khairy, Hussaini Mamman, Shamsu Abdullahi, Saidu Yahaya, Aliyu Garba, Dahiru Adamu Aliyu, Muhammad Muntasir Yakubu, Daniel Tonye Oyefidein

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Comparative Analysis of Deep Learning CNN Models and Traditional Machine Learning Approaches for Land Use Land Cover Classification Using Imagery by A. Chaurasia, A. Chaurasia, A. K. Thakur, N. S. Rehengma, M. Yadav, Pritipadmaja

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Quality Metrics for Business Process Event Logs Based on High Frequency Traces by Mohsen Mohammadi

“…Event logs, derived from interactions among process participants and information systems, offer profound insights into the authentic behavior of business processes, reflecting the organizational rules, procedures, norms, and culture. …”
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Attention mechanism and mixup data augmentation for classification of COVID-19 Computed Tomography images by Özgür Özdemir, Elena Battini Sönmez

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Large Scale Mowing Event Detection on Dense Time Series Data Using Deep Learning Methods and Knowledge Distillation by T. Moumouris, V. Tsironis, A. Psalta, K. Karantzalos

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TADNet: A Time and Attention-Based Point Cloud Denoising Network for Autonomous Driving in Adverse Weather by Y. Zhang, H. Huang, X. Yan, Y. Liang, Y. Li, J. Yang

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Unsupervised iris image segmentation by E. Maksimenko, E. Pavelyeva

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Interacting with Annotated and Synchronized Music Corpora on the Dezrann Web Platform by Charles Ballester, Baptiste Bacot, Louis Bigo, Vanessa Nina Borsan, Louis Couturier, Ken Déguernel, Quentin Dinel, Laurent Feisthauer, Klaus Frieler, Mark Gotham, Richard Groult, Johannes Hentschel, Alexandre d'Hooge, Dinh-Viet-Toan Le, Florence Levé, Francesco Maccarini, Ivana Maričić, Gianluca Micchi, Meinard Müller, Alexandros Stamatiadis, Tom Taffin, Patrice Thibaud, Christof Weiß, Rui Yang, Emmanuel Leguy, Mathieu Giraud

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SiamAHG: adaptive hierarchical graph attention for lightweight siamese tracking by Na Li, Yaofu Fan, Xuhao Chen, Xinyu Liu, Jinglu He

“…It employs the lightweight network ShuffleNet V2 for feature extraction and a novel adaptive hierarchical graph attention for feature fusion. …”
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Exploring the performance of LBP-capsule networks with K-Means routing on complex images by Patrick Mensah Kwabena, Benjamin Asubam Weyori, Ayidzoe Abra Mighty

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Open Source Deep Learning Solutions for the Classification of MMS Urban 3D Data by M. La Guardia, A. Masiero, A. Masiero, V. Bonora, A. Alessandrini

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Image-based soft drink type classification and dietary assessment system using deep convolutional neural network with transfer learning by Rubaiya Hafiz, Mohammad Reduanul Haque, Aniruddha Rakshit, Mohammad Shorif Uddin

“…To perform experimentation a dataset is built containing ten most consumed soft drinks in Bangladesh using images from the ImageNet dataset, internet sources and also self-capturing. …”
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SFG-YOLOv8: efficient and lightweight small-feature gesture keypoint detector by Weimin Che, Hui Zhang, Bangxue Wu, Qun Li, Hongji Zhang, Shilong Yuan, Hongcheng Yang

“…This paper introduces SFG-YOLOv8, an efficient and lightweight gesture keypoint detector designed for low-computational-power AR scenarios. We propose SFG-ShuffleNetV2 as the backbone network by improving the convolution operation, resulting in fewer parameters, and introduce the contextual bottleneck refinement module (CBRM) to enlarge the receptive field, enhancing the capture of the global context. …”
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Medical image segmentation network based on multi-scale cross-attention and wavelet transform by Fan Qin, Yongjie Liang, Chaofeng Yang, Yulong Cao, Jiaying Fan, Peiyuan Wang, Bizhong Wei

“…With advancements in clinical imaging technologies, deep learning segmentation models represented by U-Net have been widely applied in medical image processing. …”
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An Encoder-Decoder Network Trained with Multi-Branch Auxiliary Learning for Extracting Transverse Aeolian Ridge Morphological Parameters from High-Resolution Mars Imagery by J. Sun, J. Sun, Z. Cao, Z. Cao, Z. Kang, Z. Kang, Z. Kang, J. Li, J. Jiang, B. Song, X. Zhang

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Mitigating coarse spatial reconstruction to generate missing bands for the HLS dataset by V. Tsironis, A. Psalta, K. Karantzalos

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