A Classifier Model Using Fine-Tuned Convolutional Neural Network and Transfer Learning Approaches for Prostate Cancer Detection by Murat Sarıateş, Erdal Özbay

“…Methods: In this study, a basic convolutional neural network (CNN) model was developed and subsequently optimized using techniques such as L2 regularization, Tanh activation, dropout, and early stopping to enhance its performance. …”
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Cooperative inference analysis based on DNN convolutional kernel partitioning by Jialin ZHI, Yinglei TENG, Xinyang ZHANG, Tao NIU, Mei SONG

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Neural network model for dependency parsing incorporating global vector feature by Hengjun WANG, Nianwen SI, Yulong SONG, Yidong SHAN

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Scene-Aware Deep Networks for Semantic Segmentation of Images by Zhike Yi, Tao Chang, Shuai Li, Ruijun Liu, Jing Zhang, Aimin Hao

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HTTP malicious traffic detection method based on hybrid structure deep neural network by Jia LI, Xiaochun YUN, Shuhao LI, Yongzheng ZHANG, Jiang XIE, Fang FANG

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Research on Spaceborne Neural Network Accelerator and Its Fault Tolerance Design by Yingzhao Shao, Junyi Wang, Xiaodong Han, Yunsong Li, Yaolin Li, Zhanpeng Tao

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PhyICNet: Physics-informed interactive learning convolutional recurrent network for spatiotemporal dynamics by Ruohan Cao, Jin Su, Jinqian Feng, Qin Guo

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Harnessing distributed GPU computing for generalizable graph convolutional networks in power grid reliability assessments by Somayajulu L.N. Dhulipala, Nicholas Casaprima, Audrey Olivier, Bjorn C. Vaagensmith, Timothy R. McJunkin, Ryan C. Hruska

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A REAL TIME FACE RECOGNITION SYSTEM USING ALEXNET DEEP CONVOLUTIONAL NETWORK TRANSFER LEARNING MODEL by LAWRENCE O. OMOTOSHO, IBRAHIM K. OGUNDOYIN, JOSHUA O. OYENIYI, OLUWASHINA A. OYENIRAN

Subjects: “…transfer learning, convolutional neural network, deep learning…”
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Fish oocyte morphology detection using neural networks: a comparison of YOLO architectures by Yanna Leidy Ketley Fernandes Cruz, Ewaldo Eder Carvalho Santana, Isa Rosete Araujo Nascimento, Antonio Fhillipi Maciel Silva, Raimunda Nonata Fortes Carvalho Neta, José Ribamar de Souza Torres-Junior

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Predicting deep-seated landslide displacement on Taiwan's Lushan through the integration of convolutional neural networks and the Age of Exploration-Inspired Optimizer by J.-S. Chou, H.-M. Nguyen, H.-P. Phan, K.-L. Wang

“…The novel framework evaluates machine learning, time series deep learning, and convolutional neural networks (CNNs), identifying the most effective models to be enhanced by the Age of Exploration-Inspired Optimizer (AEIO) algorithm. …”
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ZleepNet: A Deep Convolutional Neural Network Model for Predicting Sleep Apnea Using SpO2 Signal by Hnin Thiri Chaw, Thossaporn Kamolphiwong, Sinchai Kamolphiwong, Krongthong Tawaranurak, Rattachai Wongtanawijit

“…In this paper, we propose a deep convolutional neural network (CNN) model based on the oxygen saturation (SpO2) signal from a smart sensor. …”
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Machine Learning-Enhanced Model-Based Optical Proximity Correction by Using Convolutional Neural Network-Based Variable Threshold Method by Jinhao Zhu, Zhiwei Ren, Ying Li, Xianhe Liu, Qiang Wu, Yanli Li, Qi Wang

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Performance Evaluation of 3-D Convolutional Neural Network for Multitemporal Flood Classification Framework With Synthetic Aperture Radar Image Data by Dodi Sudiana, Indra Riyanto, Mia Rizkinia, Rahmat Arief, Anton Satria Prabuwono, Josaphat Tetuko Sri Sumantyo, Ketut Wikantika

Subjects: “…3-D convolutional neural network (3-D CNN)…”
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Fine-scale forest classification with multi-temporal sentinel-1/2 imagery using a temporal convolutional neural network by Rongfei Duan, Chunlin Huang, Peng Dou, Jinliang Hou, Ying Zhang, Juan Gu

“…This study focused on the Tao River National Nature Reserve in southern Gansu Province, China, where over 6,000 vegetation samples were collected. A Temporal Convolutional Neural Network (TempCNN), which excels in handling temporal data and adapting to complex patterns, was constructed using TensorFlow with 133.8k parameters. …”
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Automated diagnosis and classification of metacarpal and phalangeal fractures using a convolutional neural network: a retrospective data analysis study by Michael Axenhus, Anna Wallin, Jonas Havela, Sara Severin, Ablikim Karahan, Max Gordon, Martin Magnéli

“…We aimed to train and evaluate a convolutional neural network (CNN) model to diagnose metacarpal and phalangeal fractures using plain radiographs according to the AO/OTA classification system and custom classifiers. …”
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Detecting Distance between Surfaces of Large Transparent Material Based on Low-Cost TOF Sensor and Deep Convolutional Neural Network by Rong Zou, Yu Zhang, Junlan Gu, Jin Chen

“…In this paper, a method based on low-cost TOF continuous-wave modulation and deep convolutional neural network technology is proposed. …”
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MEMPSEP‐I. Forecasting the Probability of Solar Energetic Particle Event Occurrence Using a Multivariate Ensemble of Convolutional Neural Networks by Subhamoy Chatterjee, Maher A. Dayeh, Andrés Muñoz‐Jaramillo, Hazel M. Bain, Kimberly Moreland, Samuel Hart

“…MEMPSEP workhorse is an ensemble of Convolutional Neural Networks that ingests a comprehensive data set (MEMPSEP‐III by Moreland et al. (2024, https://doi.org/10.1029/2023SW003765)) of full‐disc magnetogram‐sequences and in situ data from different sources to forecast the occurrence (MEMPSEP‐I—this work) and properties (MEMPSEP‐II by Dayeh et al. (2024, https://doi.org/10.1029/2023SW003697)) of a SEP event. …”
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A deep transfer learning based convolution neural network framework for air temperature classification using human clothing images by Maqsood Ahmed, Xiang Zhang, Yonglin Shen, Nafees Ali, Aymen Flah, Mohammad Kanan, Mohammad Alsharef, Sherif S. M. Ghoneim

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Analisis Sentimen pada Data Saran Mahasiswa Terhadap Kinerja Departemen di Perguruan Tinggi Menggunakan Convolutional Neural Network by Yuliska Yuliska, Dini Hidayatul Qudsi, Juanda Hakim Lubis, Khairul Umum Syaliman, Nina Fadilah Najwa

“…Analisis sentimen dilakukan dengan menggunakan Convolutional Neural Network (CNN) dan word embedding Word2vec sebagai representasi kata. …”
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