Can Artificial Intelligence Technology Help Achieving Good Governance: A Public Policy Evaluation Method Based on Artificial Neural Network by Zhinan Xu, Zijun Liu, Hang Luo

“…By leveraging empirical data and a deep learning model based on convolutional neural networks (CNN), the model achieves a high accuracy of 93.40%, surpassing most comparable models. …”
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Continuous User Verification in Cloud Storage Services using Deep Learning by burhan albayati

“…The best experimental result achieved an EER of 3.6% based on applying a deep learning algorithm (CNN). This result indicates and encourages the feasibility of using behavioral profiling to protect cloud users from misuse. …”
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Rancang Bangun Aplikasi Berbasis Android untuk Perbaikan Kualitas Citra Tanaman Atas Perbedaan Spesifikasi Kamera Smartphone pada Prediksi Kandungan Pigmen Fotosintesis Secara Real... by Felix Adrian Tjokro Atmodjo, Kestrilia Rega Prilianti, Hendry Setiawan

“…An Android based application called Fuzzy Piction could predict the content of those pigments nondestructively using the FP3Net, a Convolutional Neural Network (CNN) model. This application predicts the pigment content in plant leaf by its digital images. …”
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Deep Learning Image Classification Rontgen Dada pada Kasus Covid-19 Menggunakan Algoritma Convolutional Neural Network by Leni Anggraini Susanti, Agus Mohamad Soleh, Bagus Sartono

“… Penelitian ini mengusulkan penggunaan Convolutional Neural Network (CNN) dengan arsitektur VGGNet-19 dan ResNet-50 untuk diagnosis COVID-19 melalui analisis citra rontgen dada. …”
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Perbandingan Kinerja Inception- Resnetv2, Xception, Inception-v3, dan Resnet50 pada Gambar Bentuk Wajah by Fitriana Masruroh, Bayu Surarso, Budi Warsito

“…Perbandingan antara berbagai model CNN didasarkan kinerja metrik seperti accuracy, recall, precision dan F1-score. …”
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State of charge estimation of lithium-ion battery based on state of temperature estimation using weight clustered-convolutional neural network-long short-term memory by Chaoran Li, Sichen Zhu, Liuli Zhang, Xinjian Liu, Menghan Li, Haiqin Zhou, Qiang Zhang, Zhonghao Rao

“…And weight clustered-convolutional neural network-long short-term memory (WC-CNN-LSTM) is proposed to achieve high accuracy SOT and SOC estimation with small model sizes. …”
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Explainable analysis of infrared and visible light image fusion based on deep learning by Bo Yuan, Hongyu Sun, YinJing Guo, Qiang Liu, Xinghao Zhan

“…Firstly, a multimodal image fusion model was proposed based on the advantages of convolutional neural networks (CNN) for local context extraction and Transformer global attention mechanism. …”
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Adaptive Chebyshev Neural Network Control for Ventilator Model under the Complex Mine Environment by Ranhui Liu, Xinyan Hu, Chengyuan Zhang, Chuanxi Liu

“…Then, an adaptive Chebyshev neural network (ACNN) controller is proposed to effectively control the ventilator system where the unknown load torque and the unknown disturbance caused by the complex environment under the shaft are approximated by the Chebyshev neural network (CNN). Afterwards, an appropriate Lyapunov function candidate is designed to guarantee the stability of the proposed controller and the closed-loop ventilator system. …”
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Research and Implementation of Fast-LPRNet Algorithm for License Plate Recognition by Zhichao Wang, Yu Jiang, Jiaxin Liu, Siyu Gong, Jian Yao, Feng Jiang

“…Aiming at the problems of traditional license plate recognition algorithms such as the low accuracy, slow speed, and the recognition rate being easily affected by the environment, a Convolutional Neural Network- (CNN-) based license plate recognition algorithm-Fast-LPRNet is proposed. …”
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Hierarchical deep learning framework for automated marine vegetation and fauna analysis using ROV video data by Bjørn Christian Weinbach, Rajendra Akerkar, Marianne Nilsen, Reza Arghandeh

“…Although YOLOv8 was initially employed for instance segmentation, results showed Mask R-CNN to be more effective across hierarchical levels. …”
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The application research of ancient calligraphy recognition model based on improved filtering and AI technology in calligraphy education in colleges and universities by Xing You

“…The test results of recognition models showed that the recognition accuracy and recall rates of SCF, Gabor, Fast R-CNN and S-ICNN models on the test set were 79.13%, 74.52%, 82.66%, 93.87% and 76.94%, 72.41%, 88.25%, 94.09%, respectively. …”
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Federated Learning for Decentralized DDoS Attack Detection in IoT Networks by Yaser Alhasawi, Salem Alghamdi

“…This study introduces a Federated Learning-based approach, named Federated Learning for Decentralized DDoS Attack Detection (FL-DAD), which utilizes Convolutional Neural Networks (CNN) to efficiently identify DDoS attacks at the source. …”
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SAASNets: Shared attention aggregation Siamese networks for building change detection in multispectral remote sensing. by Shuai Pang, Chaochao You, Min Zhang, Baojie Zhang, Liyou Wang, Xiaolong Shi, Yu Sun

“…Interfered by external factors, the receptive field limits the traditional CNN multispectral remote sensing building change detection method. …”
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Detecting and Predicting Models for QoS Optimization in SDN by Getahun Wassie, Jianguo Ding, Yihenew Wondie

“…In this regard, we employed DNN and CNN deep learning models to detect elephant flows, and the random forest model predicts elephant flows in the SDN. …”
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Motion Deblurring in Image Color Enhancement by WGAN by Jiangfan Feng, Shuang Qi

“…Motion deblurring and image enhancement are active research areas over the years. Although the CNN-based model has an advanced state of the art in motion deblurring and image enhancement, it fails to produce multitask results when challenged with the images of challenging illumination conditions. …”
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Scholarships Determination to Talented Students Based on Academic Characteristics with Deep Learning Approach and Particle Swarm Optimization Algorithm by Dorota Mozyrska, Ewa Pawluszewicz

“…Therefore, the present research tries to present such a system which is based on Natural Language Processing (NLP), feature extraction operations with Particle Swarm Optimization (PSO) algorithm and finally offers suggestions with deep Convolutional Neural Network (CNN). The results show that the accuracy of the proposed approach is higher than previous methods.…”
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Mounting Angle Prediction for Automotive Radar Using Complex-Valued Convolutional Neural Network by Sunghoon Moon, Younglok Kim

“…This paper introduces the Automotive Radar Alignment Detection Network (AutoRAD-Net), a novel model that leverages complex-valued convolutional neural network (CV-CNN) to address azimuth misalignment challenges in automotive radars. …”
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Using Convolutional Neural Networks for segmentation of brain tumors by Kauã Gabriel Silva de Lima, Vagner Alves Ferreira da Silva, João Victor Oliveira da Silva, Lucas Patrick Ramos de Oliveira, Diogo Lopes da Silva

“…The goal is to assist in automated medical analysis by providing accurate segmentations of tumor areas to support diagnosis and treatment planning. The CNN model was trained on MRI images and demonstrated high accuracy in detecting tumor boundaries. …”
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Gearbox Fault Identification and Classification with Convolutional Neural Networks by ZhiQiang Chen, Chuan Li, René-Vinicio Sanchez

“…Based on vibration signals, this paper presents an implementation of deep learning algorithm convolutional neural network (CNN) used for fault identification and classification in gearboxes. …”
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3D Large-Pose Face Alignment Method Based on the Truncated Alexnet Cascade Network by Qian Zhang, Hao Zheng, Tao Yan, Jiehui Li

“…Sending the intermediate parameter which is the result of each iteration into CNN and iterating repeatedly to optimize the pose parameter in order to get more accurate results of face alignment. …”
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