First-Arrival Picking for Microseismic Monitoring Based on Deep Learning by Xiaolong Guo

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Deep and Shallow Feature Fusion in Feature Score Level for Palmprint Recognition by Yihang Wu, Junlin Hu

“…In feature-level fusion stage, ResNet feature and PCA feature are dimensionally reduced and fused by canonical correlation analysis technique to achieve the fused feature for the next stage. …”
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THE RELATIONSHIP BETWEEN RISK MANAGEMENT AND FIRM PERFORMANCE - EVIDENCE FROM THE GEORGIAN MANUFACTURING INDUSTRY by Vakhtang BERISHVILI, Sevinji MAMEDOVA

“…The results show a positive linkage between RMD and Operating and Net Profit Margins. On the other hand, no linkage is found between RMD and other measures. …”
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Vehicle Re-Identification Method Based on Efficient Self-Attention CNN-Transformer and Multi-Task Learning Optimization by Yu Wang, Rui Li, Yihan Shao

“…To address the challenges of low accuracy in vehicle re-identification caused by intra-class variations, inter-class similarities and environmental factors, this paper proposes a CNN-Transformer architecture (IBNT-Net) for vehicle re-identification. The method builds upon a ResNet50-IBN backbone network and incorporates an improved multi-head self-attention mechanism to aggregate contextual information. …”
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Adaptation optimizes sensory encoding for future stimuli. by Jiang Mao, Constantin A Rothkopf, Alan A Stocker

“…We further tested our hypothesis by analyzing the internal sensory representations of a recurrent neural network trained to predict the next frame of natural scene videos (PredNet). Simulating our human adaptation experiment with PredNet, we found that the network exhibited the same change in encoding accuracy as observed in human subjects. …”
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A latent variable approach for mitigation of environmental and operational variability in vibrationbased SHM – A linear approach by Josep Font-Moré, David Garcia Cava, Marco Antonio Perez, Luis David Avendano-Valencia

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First record of two Leptothecata medusae (Cnidaria, Hydrozoa) in Colombia with annotations on their distribution and ecology by Jorge Llorente-Vega, Cristina Cedeño-Posso, Jorge Quirós-Rodríguez

“…In Colombia, studies on this group are limited due to the scarcity of updated taxonomic information and the small number of expert scientists. …”
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The Method of Self-supervised Cervical Cell Classification by GAI Jin-ping, QIN Jian, HE Yong-jun, PENG Chen-hui

“…Then a fully connected neural net is used to make classification predictions based on the extracted feature information. …”
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Cyberbullying Detection in Arabic Text Using Different Deep Learning Approaches by Humera Shaziya

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Node Placement Analysis for Overlay Networks in IoT Applications by Yuxin Wan, Junwei Cao, Kang He, Huaying Zhang, Peng Yu, Senjing Yao, Keqin Li

“…Finally, a simulation experiment based on network simulator EstiNet is provided. The experimental results show network delay benefits from the proposed method.…”
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A Self-Supervised Monocular Depth Estimation Framework Based on Detail Recovery and Feature Fusion by Shun Li, Chongzheng Huang, Xiangzhe Li, Zhengyou Liang

“…MDAFM captures feature information from different perspectives and levels to address the problem of critical information loss, while HPCB effectively captures and fuses local and global information through parallel processing. …”
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Using multivariate generalized linear latent variable models to measure the difference in event count for stranded marine animals by R.E. Caraka, R.C. Chen, Y. Lee, T. Toharudin, C. Rahmadi, M. Tahmid, A.S. Achmadi

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AMS-MLP: adaptive multi-scale MLP network with multi-scale context relation decoder for pepper leaf segmentation by Jiangxiong Fang, Huaxiang Liu, Shiqing Zhang, Hui Hu, Huaqi Gu, Youyao Fu

“…However, existing Transformer-based segmentation methods grapple with computational inefficiency, excessive parameterization, and inadequate utilization of edge information.MethodsTo address these challenges, this study introduces an Adaptive Multi-Scale MLP (AMS-MLP) framework. …”
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Corn-associated weed detection model based on WAAP-YOLO by Zhiyong MENG, Yawei JIA, Xiuqing ZHANG, Yongjing NI, Ming ZHANG, Qi WU, Chenxi WU

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Optimized YOLOv8 for enhanced breast tumor segmentation in ultrasound imaging by Ayman Mohamed Mostafa, Alaa S. Alaerjan, Bader Aldughayfiq, Hisham Allahem, Alshimaa Abdelraof Mahmoud, Wael Said, Hosameldeen Shabana, Mohamed Ezz

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Classification of Hyperspectral Images of Explosive Fragments Based on Spatial–Spectral Combination by Donge Zhao, Peiyun Yu, Feng Guo, Xuefeng Yang, Yayun Ma, Changli Wang, Kang Li, Wenbo Chu, Bin Zhang

“…This framework used a convolutional neural network–bidirectional long short-term memory network (CNN-BiLSTM) as the spectral information classification model and a U-shaped network (U-Net) as the spatial segmentation model. …”
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Evaluation of Learning Management Systems for Success Factors. by Muhaise, Hussein, Adeyemi, A. L., Muteb,I.J.

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A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images by Dawen Yu, Shunping Ji

“…Especially, LSwin is proven better than the popular ResNet and swin transformer encoders at the same level of efficiency. …”
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EMHANet: Lightweight Salient Object Detection for Remote Sensing Images via Edge-Aware Multiscale Feature Fusion by Qian Tang, Zhen Wang, Xuqi Wang, Shan-Wen Zhang

“…EMHANet consists of MobileNetV3 for feature extraction, an Edge Feature Integration Module (EFIM) for low-level edge details, a Multi-scale Contextual Information Enhancement Module (MCIEM) for high-level feature refinement, and a lightweight decoder for saliency prediction. …”
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Link Aggregation for Skip Connection–Mamba: Remote Sensing Image Segmentation Network Based on Link Aggregation Mamba by Qi Zhang, Guohua Geng, Pengbo Zhou, Qinglin Liu, Yong Wang, Kang Li

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