Multi-feature Fusion Network for Classification of Pipeline Magnetic Leakage Signals by WEI Yuanyuan, LIU Ruiping, FU Shimo, WANG Yaoli

“…Finally, a multi-feature entropy weighting method was employed to allocate network weights on the basis of input feature entropy. …”
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LFEN: A language feature enhanced network for scene text recognition by Hui Chen, Runming Jiang, Fang Hu, Min Chen, Yin Zhang

“…Furthermore, by incorporating the intrinsic semantic relationships of text content, this paper employs a sequence-to-sequence (Seq2Seq) model based on convolutional neural networks for text correction. Through the integration of language information, different feature embeddings, and global residual connections, the paper provides a robust solution for text correction in scene text recognition. …”
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Feature enhanced cascading attention network for lightweight image super-resolution by Feng Huang, Hongwei Liu, Liqiong Chen, Ying Shen, Min Yu

“…Therefore, we propose a feature enhanced cascading attention network (FECAN) that introduces a novel feature enhanced cascading attention (FECA) mechanism, consisting of enhanced shuffle attention (ESA) and multi-scale large separable kernel attention (MLSKA). …”
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An optimized ensemble model with advanced feature selection for network intrusion detection by Afaq Ahmed, Muhammad Asim, Irshad Ullah, Zainulabidin, Abdelhamied A. Ateya

“…In today’s digital era, advancements in technology have led to unparalleled levels of connectivity, but have also brought forth a new wave of cyber threats. Network Intrusion Detection Systems (NIDS) are crucial for ensuring the security and integrity of networked systems by identifying and mitigating unauthorized access and malicious activities. …”
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Comprehensive Evaluation of Techniques for Intelligent Chatter Detection in Micro-Milling Processes by Guilherme Serpa Sestito, Wesley Angelino De Souza, Alessandro Roger Rodrigues, Maira Martins Da Silva

“…This work proposed using feature selection to evaluate the impact of several statistical features on the performance of ML classifiers for chatter detection during micro-milling operations, compare them to the performance of the Convolutional Neural Network algorithm, and discuss the employability of the techniques on the STM32F446RE microcontroller. …”
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Deep blur detection network with boundary-aware multi-scale features by Xiaoli Sun, Qiwei Wang, Xiujun Zhang, Chen Xu, Weiqiang Zhang

“…To solve this problem, we newly establish a boundary-aware multi-scale deep network in this paper. First, the VGG-16 network is used to extract the deep features from multi-scale layers. …”
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Mitigating Class Imbalance in Network Intrusion Detection with Feature-Regularized GANs by Jing Li, Wei Zong, Yang-Wai Chow, Willy Susilo

“…Network Intrusion Detection Systems (NIDS) often suffer from severe class imbalance, where minority attack types are underrepresented, leading to degraded detection performance. …”
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General model for best feature extraction of EEG using discrete wavelet transform wavelet family and differential evolution by Ahmad al-Qerem, Faten Kharbat, Shadi Nashwan, Staish Ashraf, khairi blaou

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A human geography analysis of the evolution of the urban morphology of ancient Foshan city from the perspective of Cantonese trading culture by Shaobin Wang, Ye Hou, Weihui Zhang, Cheng Liao, Rongyi Wang

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An evolution model for urban rail transit hyper networks based on allometric growth relationship by Zehua Zhang, Ruining Wei, Shumin Feng, Lei Xu, Fan Yang, Hao Liu, Yiqiang Jiang

“…Empirical validation using subway network data from Beijing, Shanghai, and Guangzhou (222–378 stations) was conducted via Python simulations, with model efficacy evaluated through Kolmogorov-Smirnov (K-S) tests and multi-index comparisons. …”
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Power Metal Corrosion Evaluation Method Based on Image Feature Analysis by ZHONG Yao, ＲEN Xiao, WU Gao-lin, WANG Qian, WANG Xu-peng, HAO Jian

“…First，multi-dimensional feature parameters were extracted through image preprocessing，chromatics，statistics， wavelet and fractal analysis methods; then，a metal corrosion state evaluation method was proposed based on neural network algorithm，and the effectiveness of the method was verified. …”
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Distribution and Evolution of Chorus Waves Modeled by a Neural Network: The Importance of Imbalanced Regression by Xiangning Chu, Jacob Bortnik, Wen Li, Xiao‐Chen Shen, Qianli Ma, Donglai Ma, David Malaspina, Sheng Huang

“…Using an imbalanced regressive (IR) method, we develop a neural network model of lower‐band (LB) chorus waves using 7‐year observations from the EMFISIS instrument onboard Van Allen Probes. …”
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Network Data Plane Programming Languages: A Survey by Belén Brandino, Eduardo Grampín

“…Network data plane programming is a consequence of the evolution of the concept of control and data plane separation, stated two decades ago, and established on the Software-Defined Networking (SDN) architecture. …”
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Agricultural Cultivation Cost Prediction Using Neural Networks and Feature Importance Analysis by Salmania Putri, Tora Fahrudin, Asti Widayanti

“…This research aims to achieve high productivity in the agricultural sector by using neural networks or Deep Learning methods to predict the cost of agricultural cultivation, as well as identifying significant factors that affect the profitability of potato commodities with Feature Importance analysis. …”
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An Effective Network Intrusion Detection System Using Recursive Feature Elimination Technique by Narendra Singh Yadav, Vijay Prakash Sharma, D. Sikha Datta Reddy, Saswati Mishra

“…These systems are proposed to identify and classify cyber-attacks on the network. However, an exhaustive assessment and performance evolution of various machine learning algorithms remains unavailable. …”
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A Deep Learning Framework for the Classification of Brazilian Coins by Debabrata Swain, Viral Rupapara, Amro Nour, Santosh Satapathy, Biswaranjan Acharya, Shakti Mishra, Ali Bostani

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A Multi-Granularity Features Representation and Dimensionality Reduction Network for Website Fingerprinting by Yaojun Ding, Bingxuan Hu

“…The network then uses a Transformer Encoder to capture more robust global features from the low-dimensional data. …”
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FGBNet: A Bio-Subspecies Classification Network with Multi-Level Feature Interaction by Yang Yuan, Danping Huang, Bingbin Cai, Yang Shen, Jingdan Wang, Jiale Xv, Siyu Chen

“…Through experimentation and optimization, the ConvNeXt is selected as the backbone network for FGBNet feature extraction, and the effectiveness of the multi-level feature interaction method is verified. …”
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Enhancing Text Similarity Measurement with Hybrid Siamese Neural Networks and Lexical Features by Bei Zhou

“…Evaluation across three distinct datasets demonstrates the superiority of the hybrid Siamese neural network model, leveraging convolutional networks and lexical features, showcasing higher Pearson's correlation and lower mean square errors (MSE) compared to literature models. …”
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Liver segmentation network based on detail enhancement and multi-scale feature fusion by Lu Tinglan, Qin Jun, Qin Guihe, Shi Weili, Zhang Wentao

“…Through the aforementioned research, this paper proposes a liver segmentation network based on detail enhancement and multi-scale feature fusion (DEMF-Net). …”
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