Analisis Tekstual dalam Wacana Berita “21 Kucing Mati di Sunter” pada Media Online CNN Indonesia by Vani Arnelita, Hilma Erfiani Baroroh

“…Penelitian ini memiliki tujuan untuk mengidentifikasi dan menganalisis tekstual dalam wacana berita “21 kucing mati di Sunter” pada media online CNN Indonesia. Objek penelitian ini adalah berita dari media massa CNN Indonesia. …”
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Implemantasi Mask R-CNN pada Perhitungan Tinggi dan Lebar Karang untuk Memantau Pertumbuhan Transplantasi Karang by Naufal Alkhalis, Husaini Husaini, Haekal Azief Haridhi, Cut Nadilla Maretna, Nur Fadli, Yudi Haditiar, Muhammad Nanda, Maria Ulfah, Kris Handoko, Intan Malayana, Arsa Cindy Safitri

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A novel multi-user collaborative cognitive radio spectrum sensing model: Based on a CNN-LSTM model by Kai Wang, Yangyang Chen, Dan Bo, Shubin Wang

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Analisis Efek Augmentasi Dataset dan Fine Tune pada Algoritma Pre-Trained Convolutional Neural Network (CNN) by Theopilus Bayu Sasongko, Haryoko Haryoko, Agit Amrullah

“…Convolutional Neural Network (CNN) adalah salah satu algoritma deep learning yang paling popular saat ini guna pengolahan citra. …”
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Training VGG16, MobileNetV1 and Simple CNN Models from Scratch for Balinese Inscription Recognition by Ida Ayu Putu Febri Imawati, Made Sudarma, I Ketut Gede Darma Putra, I Putu Agung Bayupati, Minho Jo

“…Based on these problems, this research conducted training from scratch on 3 CNN models namely VGG16, MobileNetV1 and Simple CNN. …”
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Human activity recognition: an approach 2D CNN-LSTM to sequential image representation and processing of inertial sensor data by Wallace Camacho Carlos, Alessandro Copetti, Luciano Bertini, Leonard Barreto Moreira, Otávio de Souza Martins Gomes

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Rancang Bangun Alat Pengenal Finger Vein Menggunakan Raspberry Pi dengan Metode Convolutional Neural Network (CNN) by Barlian Henryranu Prasetio, Jevandika, Dahnial Syauqy

Subjects: “…CNN…”
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Development of malaria diagnosis with convolutional neural network architectures: a CNN-based software for accurate cell image analysis. by Emrah ASLAN

“…In addition, the performance of the proposed CNN architecture is compared to pre-trained CNN models such as VGG-19 and EfficientNetB3. …”
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Comparative Analysis of Pre-trained based CNN-RNN Deep Learning Models on Anomaly-5 Dataset for Action Recognition by Fayaz Ahmed Memon, Umair Ali Khan, Pardeep Kumar, Imtiaz Ali Halepoto, Farida Memon

“…The performance of these models is analyzed and compared in terms of accuracy, precision, recall & F1-scores and computational efficiency. The CNN-RNN architectures we considered for analysis in this paper, the ResNet152V2 based CNN-RNN model exhibits better performance and achieved highest accuracy, precision, recall and F1-score equal to 92.20% due to its ability to capture more complex spatial features. …”
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A Lightweight CNN-Transformer Implemented via Structural Re-Parameterization and Hybrid Attention for Remote Sensing Image Super-Resolution by Jie Wang, Hongwei Li, Yifan Li, Zilong Qin

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Attention-Based CNN Fusion Model for Emotion Recognition During Walking Using Discrete Wavelet Transform on EEG and Inertial Signals by Yan Zhao, Ming Guo, Xiangyong Chen, Jianqiang Sun, Jianlong Qiu

“…These serve as input to the attention-based convolutional neural network (CNN) fusion model. The designed network structure is simple and lightweight while integrating the channel attention mechanism to extract and enhance features. …”
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A CNN-RF Hybrid Approach for Rice Paddy Fields Mapping in Indramayu Using Sentinel-1 and Sentinel-2 Data by Dodi Sudiana, Mia Rizkinia, Rahmat Arief, Tiara De Arifani, Anugrah Indah Lestari, Dony Kushardono, Anton Satria Prabuwono, Josaphat Tetuko Sri Sumantyo

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Development of CNN-Based Semantic Segmentation Algorithm for Crop Classification of Korean Major Upland Crops Using NIA AI HUB by Dong-Wook Kim, Gyujin Jang, Hak-Jin Kim

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Enhancing plant disease detection through deep learning: a Depthwise CNN with squeeze and excitation integration and residual skip connections by Asadulla Y. Ashurov, Mehdhar S. A. M. Al-Gaashani, Nagwan A. Samee, Reem Alkanhel, Ghada Atteia, Hanaa A. Abdallah, Mohammed Saleh Ali Muthanna

“…This study proposes an advanced method for plant disease detection utilizing a modified depthwise convolutional neural network (CNN) integrated with squeeze-and-excitation (SE) blocks and improved residual skip connections. …”
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High-Fidelity Depth Map Reconstruction System With RGB-Guided Super Resolution CNN and Cross-Calibrated Chaos LiDAR by Yu-Chun Ding, Chia-Yu Chang, Pei-Rong Li, Chao-Tsung Huang, Yung-Chen Lin, Tsung Chen, Wei-Lun Lin, Cheng-Ting Lee, Fan-Yi Lin, Yuan-Hao Huang

“…In this work, we propose a depth map reconstruction system that integrates an RGB-guided depth map super-resolution convolutional neural network (CNN) into a stand-alone Chaos LiDAR depth sensor. …”
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Deep-learning-based canopy height model generation from sub-meter resolution panchromatic satellite imagery by Charles J Abolt, Javier E Santos, Adam L Atchley, Lucas Wells, Daithi Martin, Russell A Parsons, Rodman R Linn

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End-to-end 3D instance segmentation of synthetic data and embryo microscopy images with a 3D Mask R-CNN by Gabriel David, Emmanuel Faure

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RETRACTED ARTICLE: Conceptualising a channel-based overlapping CNN tower architecture for COVID-19 identification from CT-scan images by Ravi Shekhar Tiwari, Lakshmi D, Tapan Kumar Das, Kathiravan Srinivasan, Chuan-Yu Chang

“…Abstract Convolutional Neural Network (CNN) has been employed in classifying the COVID cases from the lungs’ CT-Scan with promising quantifying metrics. …”
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Classification of Speech Emotion State Based on Feature Map Fusion of TCN and Pretrained CNN Model From Korean Speech Emotion Data by A-Hyeon Jo, Keun-Chang Kwak

“…In this paper, we propose a method for designing a classification model of speech emotional state based on the feature-map fusion of temporal convolutional network (TCN) and the pretrained convolutional neural networks (CNN) from Korean speech database. For this purpose, the proposed approach is comprised of four main stages. …”
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Retraction Note: Conceptualising a channel-based overlapping CNN tower architecture for COVID-19 identification from CT-scan images by Ravi Shekhar Tiwari, Lakshmi D, Tapan Kumar Das, Kathiravan Srinivasan, Chuan‑Yu Chang

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