CacPred: a cascaded convolutional neural network for TF-DNA binding prediction by Shuangquan Zhang, Anjun Ma, Xuping Xie, Zhichao Lian, Yan Wang

“…In recent years, convolutional neural networks (CNNs) have succeeded in TF-DNA binding prediction, but existing DL methods’ accuracy needs to be improved and convolution function in TF-DNA binding prediction should be further explored. …”
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A wheat seedling counting method based on two-stage convolutional neural network by Menghan Li, Lijie Zhang, Chunshan Wang, Chunjiang Zhao, Libo Li, Dongxiao Li, Yaxuan Xu

“…In the first stage, the SCNet model was applied for wheat seedling segmentation, the ResNet50 model was chosen as the backbone network, and the Convolutional Block Attention Module (CBAM) was introduced for feature enhancement. …”
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Bearing Fault Diagnosis Method Based on Improved VMD and Parallel Hybrid Neural Network by Wuyi Chen, Huafeng Cai, Qiu Sun

“…In order to combat the difficulty of fault feature extraction and fault recognition in the field of bearing fault diagnosis, a bearing fault diagnosis method based on improved variational mode decomposition (VMD) and parallel hybrid neural network is proposed, which combines reweighted kurtosis (RK) with variable mode decomposition (VMD) and uses reweighted kurtosis as the evaluation index to select the decomposition times of variational mode decomposition, while removing part of the interference in the fault signal and retaining its impact characteristics. …”
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Multi-Scale Twin Networks for Coastal Zone Change Detection in Remote Sensing Imagery by Peiqi Zhu, Xiaoyi Jiang, Qi He, Longfei Zhao, Yu Hong, Xue Guo, Hanrui Sun

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Facial Expression Recognition using Convolutional Neural Networks with Transfer Learning Resnet-50 by Annisa Ayu Istiqomah, Christy Atika Sari, Ajib Susanto, Eko Hari Rachmawanto

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Enhanced residual-attention deep neural network for disease classification in maize leaf images by Nidhi Parashar, Prashant Johri, Ahmed Elbeltagi, Ali Salem, Prakash Choudhary, Vijay Kumar, Tarun Agrawal

“…Recent advancements in deep learning, specifically convolutional neural networks, have shown outstanding potential for image classification. …”
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Image Super Resolution Reconstruction Based on Multi-Level Residual Skip Connection Network by WANG Xiaoyu, LU Jianyu, WEI Yuxin, YU Yue

“…Aiming at the problem of insufficient processing of texture details and color restoration degree in existing image super-resolution reconstruction algorithms, a multi-level residual skip connection network (MRSCN) based on coordinate attention mechanism is proposed and applied to the SRGAN model to realize full utilization of low-resolution image features. …”
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Research on rolling bearing compound fault diagnosis based on AMOMCKD and convolutional neural network by Runfang Hao, Yunpeng Bai, Kun Yang, Yongqiang Cheng, Shengjun Chang

“…To address this problem, this paper proposes a rolling bearing compound fault diagnosis method AMOMCKD-CNN based on adaptive multi-objective maximum correlation kurtosis deconvolution (AMOMCKD) and convolutional neural network (CNN) with parameter optimization. Firstly, the key parameters of MCKD are optimized using the adaptive Non-dominated Sorting Genetic Algorithm (NSGA-II) with a new multi-objective evaluation index Hyperarea (HA). …”
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Secondary Operation Risk Assessment Method Integrating Graph Convolutional Networks and Semantic Embeddings by Pengyu Zhu, Youwei Li, Peidong Xu, Ping Li, Zhenbing Zhao, Gang Li

“…Finally, the model employs a hybrid similarity measurement mechanism that comprehensively considers both semantic and structural features, combining K-means clustering similarity search with a multi-node weighted evaluation method to achieve efficient and accurate risk assessment. …”
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IEWNet: Multi-Scale Robust Watermarking Network Against Infrared Image Enhancement Attacks by Yu Bai, Li Li, Shanqing Zhang, Jianfeng Lu, Ting Luo

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Deep learning-based extraction of Kenya’s historical road network from topographic maps by Tanja Kramm, Nicodemus Nyamari, Vincent Moseti, Annika Klee, Leon Vehlken, David M. Anderson, Christina Bogner, Georg Bareth

“…The methodology offers an applicable approach for national-level historic road network mapping, also transferable to other regions, map types or features.…”
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Quake Detection System Using Smartphone-based Wireless Sensor Network For Early Warning. by Ana Zambrano Vizuete, Israel Pérez Llopis, Carlos Palau Salvador, Manuel Esteve Domingo

“…We propose an innovative real-time solution which considers time and spatial analyses, not present in another works, making it more precise and customizable, coupling it to the features of the geographical zone, network and resources, so as providing evidence of the feasibility of earthquake early warning using a distributed network of cell phones. …”
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Deep learning-based strategies for evaluating and enhancing university teaching quality by Ying Gao

“…The education sector currently faces several challenges, including the subjectivity of evaluation methods, uniformity of data, and a lack of real-time feedback. …”
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Rating approach to complex evaluation of investment attractiveness of coal mining enterprises by Ihor Hryshko

“…The research work has resulted in determination and specification of the content and constitutive elements of an investment process, the basic approaches in determination of investment attractiveness as well as methods of its evaluation.  The application of artificial neural networks, elements of fuzzy logic and clastering within Neuro-Fuzzy Interence System using Kohonen's self organizing feature maps and the bell-shaped presence function have been grounded. …”
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Design and experimental evaluation of a reconfigurable intelligent surface for wireless applications by Haider TH.Salim ALRikabi, Adheed H. Sallomi, Hasan F. KHazaal, Ahmed Magdy

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Restricted supervised Cascade Information Network for remote sensing change captioning with serial sentences by Kunping Yang, Jianchong Wei, Chengbin Chen, Zhensheng Wang, Junhui Lan, Xuanping Li, Duwei Hua, Dingli Xue, Yi Wu

“…To solve this problem, we propose a Cascade Information Network (CI-Net) with low costs to obtain serial sentences. …”
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A Representation-Learning-Based Graph and Generative Network for Hyperspectral Small Target Detection by Yunsong Li, Jiaping Zhong, Weiying Xie, Paolo Gamba

“…The model builds a fusion network through frequency representation for HSTD, where the novel architecture incorporates irregular topological data and spatial–spectral features to improve its representation ability. …”
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A CNN‐transformer‐based unsupervised aware hierarchical network for medical image registration by Bo Fang, Lisheng Wang

“…This study proposes a novel unsupervised end‐to‐end registration network, aiming to enable the model to actively acquire image features in the field of medical imaging with limited samples, which efficiently integrates multi‐scale features to achieve higher accuracy in registration. …”
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Neural Network-Guided Smart Trap for Selective Monitoring of Nocturnal Pest Insects in Agriculture by Joel Hinojosa-Dávalos, Miguel Ángel Robles-García, Melesio Gutiérrez-Lomelí, Ariadna Berenice Flores Jiménez, Cuauhtémoc Acosta Lúa

“…This study presents the design, implementation, and field evaluation of a neural network-guided smart trap specifically developed to monitor and selectively capture nocturnal insect pests under real agricultural conditions. …”
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An Efficient License Plate Detection Approach Using Lightweight Deep Convolutional Neural Networks by Hoanh Nguyen

“…To further enhance feature pyramid, an efficient feature enhancement module is designed to fuse features generated by the region proposal network with backbone features. …”
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