Utilization of Artificial Intelligence for the automated recognition of fine arts. by Ruhua Chen, Mohammad Reza Ghavidel Aghdam, Mohammad Khishe

“…Our approach significantly improves accuracy and efficiency by integrating advanced feature extraction techniques with a customized CNN architecture. Experimental validation on a benchmark dataset highlights the efficacy of our method, indicating substantial contributions to the interdisciplinary field of fine art analysis.…”
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A comparison of several intrusion detection methods using the NSL-KDD dataset by hazem salim abdullah

“…This research investigates the way to classify and predict cyber-attacks on the NSL-KDD dataset using intrusion detection methods the investigation contrasts the capabilities of various algorithms, including RNN, MLP, CNN-LSTM, and ANN, in recognizing attacks. The results indicate that both MLP and RNN have the greatest efficiency and effectiveness for different time frames. these findings demonstrate the necessity of Constant evaluation and enhancement of intrusion detection systems in order to remain aware of the dynamic nature of the cyber threat landscape. …”
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Proposed Detection Face Model by MobileNetV2 Using Asian Data Set by Phat Nguyen Huu, Vinh Tran Quang, Chau Nguyen Le Bao, Quang Tran Minh

“…Therefore, we propose a model capable of distinguishing between masked and nonmasked faces using a convolutional neural network (CNN) based on deep learning (DL)—MobileNetV2 in this paper. …”
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Harmonic Classification with Enhancing Music Using Deep Learning Techniques by Wen Tang, Linlin Gu

“…Technique of machine learning such the convolutional neural network (CNN) will systematically extract the chord sequence to achieve the superiority context model. …”
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Hand Gesture Recognition Algorithm Using SVM and HOG Model for Control of Robotic System by Phat Nguyen Huu, Tan Phung Ngoc

“…Besides, we also use the CNN model to classify gestures. We approach and select techniques of applying problem controlling for the robotic system. …”
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Comparing Waterbeds and Sand Beds for Cows: A Study at the UF/IFAS Dairy Unit by Klibs N. Galvão, Ori Eizenberg

“…Waterbeds for cows have recently gained popularity because of advertisements, news reports in outlets such as CNN. The UF/IFAS Dairy Unit (DU) provides a good opportunity to compare sand beds and waterbeds at optimal conditions. …”
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Improving the Accuracy of Batik Classification using Deep Convolutional Auto Encoder by Muhammad Faqih Dzulqarnain, Abdul Fadlil, Imam Riadi

“…The performance of this enhanced model was compared against a standard convolutional neural network (CNN) without the autoencoder. Experimental results demonstrate that the incorporation of the autoencoder significantly improved the classification accuracy, achieving 99% accuracy on the testing data and loss value of 3.4%. …”
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Monitoring Moso bamboo (Phyllostachys pubescens) forests damage caused by Pantana phyllostachysae Chao considering phenological differences between on-year and off-year using UAV h... by Anqi He, Zhanghua Xu, Yifan Li, Bin Li, Xuying Huang, Huafeng Zhang, Xiaoyu Guo, Zenglu Li

“…We analyzed the impact of on-year and off-year phenological characteristics on the accuracy of hazard extraction and developed detection models for P. phyllostachysae hazard levels in on-year and off-year Moso bamboo using Support Vector Machine (SVM), Random Forest (RF), eXtreme Gradient Boosting (XGBoost), and one-dimensional Convolutional Neural Network (1D-CNN). The results demonstrate that classical machine learning and deep learning models can effectively detect P. phyllostachysae damage, with the 1D-CNN algorithm achieving the best performance. …”
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Accuracy of artificial intelligence algorithms in predicting acute respiratory distress syndrome: a systematic review and meta-analysis by Yaxin Xiong, Yuan Gao, Yucheng Qi, Yingfei Zhi, Jia Xu, Kuo Wang, Qiuyue Yang, Changsong Wang, Mingyan Zhao, Xianglin Meng

“…Algorithmic models such as CNN, SVM, and XGB have improved prediction performance. …”
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Perbandingan Pretrained Model Transformer pada Deteksi Ulasan Palsu by Aisyah Awalina, Fitra Abdurrachman Bachtiar, Fitri Utaminingrum

“…Penelitian ini melakukan perbandingan model Transformer menggunakan pendekatan fine-tuning dengan metode deep learning yaitu CNN dengan berbagai pretrained word embedding untuk mengatasi deteksi ulasan palsu pada dataset Ott. …”
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Identifikasi Emosi Pengguna Konferensi Video Menggunakan Convolutional Neural Network by Lina Lina, Arthur Adhitya Marunduh, Wasino Wasino, Daniel Ajienegoro

“…Sistem melakukan deteksi area wajah dalam citra dari video masukan dengan algoritma Viola-Jones, dan melakukan identifikasi emosi pada wajah yang terdeteksi menggunakan metode Convolutional Neural Network (CNN) dengan arsitektur VGG-16. Hasil eksperimen menunjukkan bahwa sistem mampu secara otomatis melakukan pendeteksian area wajah dengan tingkat akurasi sebesar 93.15% dan melakukan identifikasi emosi dengan akurasi sebesar 88.39% untuk data latih dan 70.17% untuk data pengujian.   …”
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Penerapan Algoritma Deep Learning Convolutional Neural Network Dalam Menentukan Kematangan Buah Jeruk Manis Berdasarkan Citra Red Green Blue (RGB) by Budi Yanto, Erni Rouza, Luth Fimawahib, B.Herawan Hayadi, Rinanda Rizki Pratama

“…For this reason, an algorithm is needed to determine sweet oranges with a computerized system created using the Convolutional Neural Network (CNN) algorithm, which is one of the deep learning algorithms, which is the development of Multilayer Perceptron (MLP), which is able to process data in two-dimensional form, for example. …”
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Multiscale regional calibration network for crowd counting by Jiamao Yu, Hexuan Hu

“…Abstract Crowd counting aims to estimate the number, density, and distribution of crowds in an image. While CNN-based crowd counting methods have been effective, head-scale variation and complex background remain two major challenges for crowd counting. …”
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A tactile sensor for recognition of softness using interlocking structure of carbon nanoparticle- polydimethylsiloxane composite by Sangmin Lee, Jaewon Jang, Wanjun Park

“…This is supported by tests conducted using a one-dimensional convolutional neural network (1D-CNN).…”
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Improved Convolutional Neural Image Recognition Algorithm based on LeNet-5 by Lijie Zhou, Weihai Yu

“…Convolutional neural network (CNN) is a very important method in deep learning, which solves many complex pattern recognition problems. …”
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Infrared Thermal Image Gender Classifier Based on the Deep ResNet Model by Alyaa J. Jalil, Naglaa M. Reda

“…The proposed approach has been compared with convolutional neural network (CNN), principal component analysis (PCA), local binary pattern (LBP), and scale invariant feature transform (SIFT). …”
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Automated Stellar Spectra Classification with Ensemble Convolutional Neural Network by Zhuang Zhao, Jiyu Wei, Bin Jiang

“…We designed six classifiers which consist six different convolutional neural networks (CNN), respectively, to recognize the spectra in DR16. …”
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Evaluation of Novel AI Architectures for Uncertainty Estimation by Erik Pautsch, John Li, Silvio Rizzi, George K. Thiruvathukal, Maria Pantoja

“…Our research evaluates uncertainty in Convolutional Neural Networks (CNN) and Vision Transformers (ViT) using the MNIST and ImageNet-1K datasets. …”
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Research on the Application of Deep Learning Methods in the Field of Image Classification by Peng Yuhui

“…In this paper, it is concluded that these models have achieved high accuracy in fruit classification and the textile field, especially the combination of CNN, RNN and LSTM deep learning methods for feature fusion can enhance the accuracy and robustness of the model. …”
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Apocalyptic television by Leslie Harris

“…Analysis of media coverage of the war, particularly the coverage on CNN, will show how the mass media assisted the administration In creating and sustaining the climate for war. …”
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