Determination of Heavy Metals and Pesticides in Different Types of Fish Samples Collected from Four Different Locations of Aegean and Marmara Sea by Tufan Topal, Canan Onac

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The Impact of Big Math for Little Kids on Children’s Number Skills by Ayşe Kılıçkaya, Canan Avcı

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Towards device technologies non-invasive to our daily lives by Hyeokjun Yoon, Canan Dagdeviren

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Halk Kütüphanelerinin Toplumun Dijital Okuryazarlık Becerilerini Geliştirmedeki Rolü by Sinan Güneş, Canan Ergün

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Immune regulation is more effective in the U937 inflammation model with mesenchymal stem cell extracellular vesicles stimulated by pro-inflammatory cytokines by Canan Öztürk, Zehra S. Halbutoğullari

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Poder e institucionalización en el bachillerato clásico: ecos de una investigación psico-social by Óscar Enrique Cañón Ortiz

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An Intelligent Evaluation Method of Supply-Demand Matching Degree Based on ELECTRE III and VIKOR in Cloud Manufacturing Platform by Jihong Pang, Yuxuan Shi, Jinkun Dai

Subjects: “…Canny algorithm…”
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Genome-Wide Association Study of Orthostatic Hypotension and Supine-Standing Blood Pressure Changes in Two Korean Populations by Kyung-Won Hong, Sung Soo Kim, Yeonjung Kim

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Assessment model of ozone pollution based on SHAP-IPSO-CNN and its application by Xiaolei Zhou, Xingyue Wang, Ruifeng Guo

“…To address this problem, a convolutional neural network (CNN) model combining the improved particle swarm optimization (IPSO) algorithm and SHAP analysis, called SHAP-IPSO-CNN, is developed in this study, aiming to reveal the key factors affecting ground-level ozone pollution and their interaction mechanisms. …”
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CNN-Based Object Recognition and Tracking System to Assist Visually Impaired People by Fahad Ashiq, Muhammad Asif, Maaz Bin Ahmad, Sadia Zafar, Khalid Masood, Toqeer Mahmood, Muhammad Tariq Mahmood, Ik Hyun Lee

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Transfer Learning for CNN-Based Damage Detection in Civil Structures with Insufficient Data by Mona Chamangard, Gholamreza Ghodrati Amiri, Ehsan Darvishan, Zahra Rastin

“…In this study, compact one-dimensional (1D) convolutional neural networks (CNNs) are utilized that require less data for training. …”
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Enhanced classification of medicinal plants using deep learning and optimized CNN architectures by Hicham Bouakkaz, Mustapha Bouakkaz, Chaker Abdelaziz Kerrache, Sahraoui Dhelim

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A CNN-Based Approach for Classical Music Recognition and Style Emotion Classification by Yawen Shi

Subjects: “…CNN…”
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Deep Learning Implementation Using CNN to Classify Bali God Sculpture Pictures by Ni Luh Gede Pivin Suwirmayanti, I Wayan Budi Sentana, I Ketut Gede Darma Putra, Made Sudarma, I Made Sukarsa, Komang Budiarta

“…We compared our CNN model with two other models, AlexNet and ResNet, based on the experimental results. …”
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A Stock Closing Price Prediction Model Based on CNN-BiSLSTM by Haiyao Wang, Jianxuan Wang, Lihui Cao, Yifan Li, Qiuhong Sun, Jingyang Wang

“…This paper proposes a composite model CNN-BiSLSTM to predict the closing price of the stock. …”
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An Improved Gesture Segmentation Method for Gesture Recognition Based on CNN and YCbCr by Yan Luo, Gaoxiang Cui, Deguang Li

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Multivariate CNN-LSTM Model for Multiple Parallel Financial Time-Series Prediction by Harya Widiputra, Adele Mailangkay, Elliana Gautama

“…The hybrid ensemble model built in this study is made up of two main components, each with its own set of functions derived from the CNN and LSTM models. For multiple parallel financial time-series estimation, the proposed model is called multivariate CNN-LSTM. …”
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A lightweight power quality disturbance recognition model based on CNN and Transformer by ZHANG Bide, QIU Jie, LOU Guangxin, ZHOU Can, LUO Qingqing, LI Tianqian

“…A lightweight power quality disturbances (PQDs) recognition model that integrates convolutional neural network (CNN) and Transformer (CaT) is proposed to address the high number of parameters and computational complexity in existing deep learning-based models. …”
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An SDP Characteristic Information Fusion-Based CNN Vibration Fault Diagnosis Method by Xiaoxun Zhu, Jianhong Zhao, Dongnan Hou, Zhonghe Han

“…This study proposes a symmetrized dot pattern (SDP) characteristic information fusion-based convolutional neural network (CNN) fault diagnosis method to resolve issues of high complexity, nonlinearity, and instability in original rotor vibration signals. …”
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Remaining Useful Life Prediction of Rolling Bearings Based on CBAM-CNN-LSTM by Bo Sun, Wenting Hu, Hao Wang, Lei Wang, Chengyang Deng

“…This study introduces a novel method for predicting RUL that utilizes the Convolutional Block Attention Module (CBAM) to address the problem that Convolutional Neural Networks (CNNs) do not effectively leverage data channel features and spatial features in residual life prediction. …”
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