DeepCNNMed: Enhancing Medicinal Plant Identification Through Deep Convolutional and Hybrid Neural Networks by Rajalakshmi Gurusamy, Parameswari Chandrasekaran, Yamuna Devi Manickam Malu, Madhusudhanan Sampath, Nesarani Abraham

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Speaker Identification and Verification Using Convolutional Neural Network CNN by Azhar S. Abdulaziz, Akram Dawood, Amar Daood

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Morphological and spectral analysis of histological tissue with the use of deep convolutional networks by S. V. Trukhan, A. M. Nedzved, A. Kohler

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Alzheimer’s Detection through 3D Convolutional Neural Networks by Ryan Hogan, Christoforos Christoforou

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Lung Nodule Classification Based on 3D Convolutional Neural Network by WANG Wei-bing, WANG Zhuo, XU Qian, SUN Hong

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Training a Minesweeper Agent Using a Convolutional Neural Network by Wenbo Wang, Chengyou Lei

Subjects: “…convolutional neural network (CNN)…”
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Convolutional Neural Networks in the SSI Analysis for Mine-Induced Vibrations by Maciej Cyprian Zajac, Krystyna Kuzniar

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Multiscale Convolutional Neural Networks for Hand Detection by Shiyang Yan, Yizhang Xia, Jeremy S. Smith, Wenjin Lu, Bailing Zhang

“…Deep learning models, and deep convolutional neural networks (CNNs) in particular, have achieved state-of-the-art performances in many vision benchmarks. …”
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Voice Detection Using Convolutional Neural Network by U. A. Vishniakou, B. H. Shaya

“…Tasks of article are receiving evaluating a voice detection system with deep learning, the use of a convolutional neural network and Python language for patients with cough. …”
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Elephant Flows Detection Using Deep Neural Network, Convolutional Neural Network, Long Short-Term Memory, and Autoencoder by Getahun Wassie Geremew, Jianguo Ding

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Diabetic retinopathy detection using adaptive deep convolutional neural networks on fundus images by Rashid Abbasi, Farhan Amin, Amerah Alabrah, Gyu Sang Choi, Salabat Khan, Md. Belal Bin Heyat, Muhammad Shahid Iqbal, Huiling Chen

“…Thus, in order to solve this issue, herein, we proposed an adaptive enhancement-based Deep Convolutional Neural Network (DCNN) model for diabetic retinopathy (DR). …”
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Deep Unified Model For Face Recognition Based on Convolution Neural Network and Edge Computing by Muhammad Zeeshan Khan, Saad Harous, Saleet Ul Hassan, Muhammad Usman Ghani Khan, Razi Iqbal, Shahid Mumtaz

“…This paper proposes an algorithm for face detection and recognition based on convolution neural networks (CNN), which outperform the traditional techniques. …”
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Analysis of MSTAR Object Classification Features Extracted by a Deep Convolutional Neural Network by I. F. Kupryashkin

Subjects: “…deep convolutional neural network…”
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Effective Skin Cancer Diagnosis Through Federated Learning and Deep Convolutional Neural Networks by Mabrook S. Al-Rakhami, Salman A. AlQahtani, Abdulaziz Alawwad

“…Early detection is crucial for successful treatment, and deep learning techniques, particularly deep convolutional neural networks (DCNNs), have shown tremendous potential in this area. …”
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Research on Detection of Bird Nests in Overhead Catenary Based on Deep Convolutional Neural Network by Deqiang HE, Zhou JIANG, Jiyong CHEN, Yanjie YANG, Xiaoyang YAO

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A Novel Approach for Tomato Leaf Disease Classification with Deep Convolutional Neural Networks by Gizem Irmak, Ahmet Saygılı

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Lane Boundary Detection for Intelligent Vehicles Using Deep Convolutional Neural Network Architecture by Xuewen Chen, Chenxi Xia, Xiaohai Chen

“…To address the limitation of 2D lane detection methods with monocular vision, which fail to capture the three-dimensional position of lane boundaries, this study proposes a convolutional neural network architecture for 3D lane detection. …”
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Optimization of deep learning architecture based on multi-path convolutional neural network algorithm by Chuan Zhou, Yan Liu, Xinghan An, Xiyao Xu, Hao Wang

Subjects: “…Multi-path convolutional neural network…”
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A Glacier Ice Thickness Estimation Method Based on Deep Convolutional Neural Networks by Zhiqiang Li, Jia Li, Xuyan Ma, Lei Guo, Long Li, Jiahao Dian, Lingshuai Kong, Huiguo Ye

“…To address this, this study proposes a convolutional neural network (CNN)-based deep learning model for glacier ice thickness estimation, named the Coordinate-Attentive Dense Glacier Ice Thickness Estimate Model (CADGITE). …”
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Quantitative Convolutional Neural Network Based Multi-Phase XRD Pattern Analysis by Höfer Hawo H., Orth André, Schweidler Simon, Breitung Ben, Aghassi-Hagmann Jasmin, Reischl Markus

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