Combining convolutional neural network with transformer to improve YOLOv7 for gas plume detection and segmentation in multibeam water column images by Wenguang Chen, Xiao Wang, Junjie Chen, Jialong Sun, Guozhen Zha

“…The emergence of convolutional neural networks (CNNs) alleviates this problem, but the local feature extraction of the convolutional operations, while capturing detailed information well, cannot adapt to the elongated morphology of the gas plume target, limiting the improvement of the detection and segmentation accuracy. …”
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GCB‐YOLO: A Lightweight Algorithm for Wind Turbine Blade Defect Detection by Zhiming Zhang, Chaoyi Dong, Ze Wei, Xiaoyan Chen, Weidong Zan, Yao Xue

“…Finally, the neck network was ultimately replaced with a bidirectional feature pyramid network (BiFPN) to optimize multiscale feature fusion, bolstering its ability to discern small defects. …”
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A Two-Stage Deep Learning Method for Auxiliary Diagnosis of Upper Limb Fractures Based on ResNet-50 and Enhanced YOLO by Hongxiao Wang, Zhe Li, Dingsen Zhang

“…In the second stage, an improved You Only Look Once (YOLO) model based on Scale Sequence Feature Fusion (SSFF) and Triple Feature Encoder (TFE) modules is used for fracture diagnoses in different body parts. …”
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Attention-Guided Residual Spatiotemporal Network with Label Regularization for Fault Diagnosis with Small Samples by Yanlong Xu, Liming Zhang, Ling Chen, Tian Tan, Xiaolong Wang, Hongguang Xiao

“…Subsequently, a residual module is introduced to address the vanishing gradient problem of the model in deep network structures. In addition, LSTM is used to realize spatiotemporal feature fusion. …”
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A Conservation Law Treatment of Nonlinear KdV Hierarchies by Sameerah Jamal, Rivoningo Maphanga

“…We study the hierarchy commonly defined as an infinite sequence of partial differential equations which begins with the Korteweg–de Vries equation and its modified version. An important feature of the hierarchy is its highly nonlinear property. …”
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Prediction of rolling bearing performance degradation based on whale optimization algorithm and backpropagation model by Jingyue Wang, Yuntong Han, Haotian Wang, Jianming Ding, Cai Yi

“…The model optimizes the initial weights and thresholds of the network using the whale optimization algorithm, resolving the problem of BP’s local convergence. Feature data is selected using the correlation coefficient theory to obtain the model inputs. …”
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A Blending Ensemble Approach to Predicting Student Dropout in Massive Open Online Courses (MOOCs) by Muhammad Ricky Perdana Putra, Ema Utami

“…The problem faced in the implementation of Massive Open Online Course (MOOC) is the high dropout rate (DO) reaching 90% which exceeds the formal school dropout rate. …”
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The evolution of fire and invasive alien plant management practices in fynbos by B.W. van Wilgen

“…The problem of conserving fire-adapted fynbos is complicated by invading alien trees that are also fire-adapted. …”
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Near-Optimal Diagnosis System Deployment in Wireless Sensor Networks by Shuo Lian, Jizhong Zhao, Xu Zhao

“…The existing approaches fail to consider this multidimensional feature of evidence in diagnosis nodes selection problem. …”
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GNN for LoRa Device Fingerprint Identification by Bojun Zhang

“…It calculates the similarity between signals using the Wasserstein distance and selects the top K most similar signals for each as first-order neighbors through heap sorting, constructing phase and RSSI(Received Signal Strength Indicator) graphs and transforming the signal classification problem into a graph-based node classification problem. …”
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Research on distributed time synchronization methods for LEO communication constellations based on maximum likelihood estimation by YAN Bing, ZHAO Yafei, FANG Yiming, PENG Mugen, LIN Guangrong

“…As the rapid deployment of low earth orbit (LEO) mega-constellations and the swift growth of satellite Internet unfolds, distributed satellite systems composed of a large number of LEO satellites become a significant feature of the space-air-ground integrated networks. …”
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Time series classification through visual pattern recognition by Agnieszka Jastrzebska

“…In consequence, the time series classification problem is converted into the visual pattern recognition problem. …”
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Efficient-Deformable-DETR: Enhancing underwater small target detection in complex environments by Xie Haozheng, Xin Guanghong, Kang Shuo, Xie Qiongdan

“…This paper focuses on the problem of small target detection in complex underwater environments and proposes an improved model based on the Deformable-DETR model. …”
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Research on distributed time synchronization methods for LEO communication constellations based on maximum likelihood estimation by YAN Bing, ZHAO Yafei, FANG Yiming, PENG Mugen, LIN Guangrong

“…As the rapid deployment of low earth orbit (LEO) mega-constellations and the swift growth of satellite Internet unfolds, distributed satellite systems composed of a large number of LEO satellites become a significant feature of the space-air-ground integrated networks. …”
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Numerical Simulation of Ambiguity Resolution in Multiple Information Streams Based on Network Machine Translation by Lei Wang, Qun Ai

“…Using the naive Bayesian machine learning method and the feature vector set extracted and constructed by the Dice coefficient method, a semantic word disambiguation model based on semantics is realized. …”
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Evaluation method of hydrophobicity of composite insulators based on improved Mask R-CNN by SHENG Fei, CAO Liu, LIU Yulong, HUANG Jie, HUANG Yaqian, ZHU Yanqing

“…In this paper, the classification problem is transformed into the target detection problem, and the improved mask region-based convolutional neural network (Mask R-CNN) algorithm is used to evaluate the hydrophobicity level of composite insulators. …”
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Human Resources in Russian Industry: why Do Employees Increasingly Quit Companies? by E. S. Marmysh, A. A. Soboleva, A. A. Shatova, I. V. Shutikhin

“…Other important factors are satisfaction with the degree of independence in decision-making within their own competencies, as well as the career advancement possibility. The special feature of this work is the management recommendations which are focused on a comprehensive solution to the problem of the stuff turnover at the particular industrial company. …”
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A lightweight deep-learning model for parasite egg detection in microscopy images by Wenbin Xu, Qiang Zhai, Jizhong Liu, Xingyu Xu, Jing Hua

“…First, the neck of the YOLOv5n is modified to from a feature pyramid network (FPN) to an asymptotic feature pyramid network (AFPN) structure. …”
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Credit card fraud detection in the era of disruptive technologies: A systematic review by Asma Cherif, Arwa Badhib, Heyfa Ammar, Suhair Alshehri, Manal Kalkatawi, Abdessamad Imine

“…The selection of 40 relevant articles is reviewed and categorized according to the topics covered (class imbalance problem, feature engineering, etc.) and the machine learning technology used (modelling traditional and deep learning). …”
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GANs with Multiple Constraints for Image Translation by Yan Gan, Junxin Gong, Mao Ye, Yang Qian, Kedi Liu, Su Zhang

“…Unpaired image translation is a challenging problem in computer vision, while existing generative adversarial networks (GANs) models mainly use the adversarial loss and other constraints to model. …”
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