Degradation State Recognition of Rolling Bearing Based on K-Means and CNN Algorithm by Qicai Zhou, Hehong Shen, Jiong Zhao, Xingchen Liu, Xiaolei Xiong

Get full text

An Approach of Intelligent Compound Fault Diagnosis of Rolling Bearing based on MWT and CNN by Han Tao, Yuan Jianhu, Tang Jian, An Lizhou

Subjects: “…Convolution neural network（CNN）…”
Get full text

DECTNet: A detail enhanced CNN-Transformer network for single-image deraining by Liping Wang, Guangwei Gao

Subjects: Get full text

Cross-Spectral Cross-Distance Face Recognition via CNN with Image Augmentation Techniques by Nisa Adilla Rahmatika, Fitri Arnia, Maulisa Oktiana

Subjects: Get full text

Application of Improved Naive Bayesian-CNN Classification Algorithm in Sandstorm Prediction in Inner Mongolia by Li Tiancheng, Ren Qing-dao-er-ji, Qiu Ying

“…This paper proposed an efficient sandstorm prediction method that considered both the effect of atmospheric movement and ground factors on sandstorm occurrence, called improved naive Bayesian-CNN classification algorithm (INB-CNN classification algorithm). …”
Get full text

Multi-branch LSTM encoded latent features with CNN-LSTM for Youtube popularity prediction by Neeti Sangwan, Vishal Bhatnagar

“…These latent features train the fused Convolutional Neural Network (CNN) with LSTM to predict the popularity of unseen videos on the trained deep learning network. …”
Get full text

Improving Diabetic Patients Monitoring System Using (NCA-CNN) Algorithm based on loT by Ayas Talib Mohammad, Jaber Parchami

Subjects: Get full text

Implementation Of Convolutional Neural Network (Cnn) Based On Mobile Application For Rice Quality Determination by Muhammad Zainal Altim, Abdullah Basalamah, kasman kasman

Subjects: “…cnn, rice, data set, training, mobile application, web browser, real time.cnn, rice, data set, training, mobile application, web browser, real time.…”
Get full text

Integrated CNN‐LSTM for Photovoltaic Power Prediction based on Spatio‐Temporal Feature Fusion by Junwei Ma, Meiru Huo, Jinfeng Han, Yunfeng Liu, Shunfa Lu, Xiaokun Yu

“…This paper proposes a convolutional neural network‐long short‐term memory (CNN‐LSTM) network integration model based on spatio‐temporal feature fusion. …”
Get full text

CNN Accelerator Performance Dependence on Loop Tiling and the Optimum Resource-Constrained Loop Tiling by Chester Sungchung Park, Sungkyung Park

Subjects: Get full text

Advancements and Challenges in Character Recognition: A Comparative Analysis of CNN and Deep Learning Approaches by Yang Ximin

“…Study by Zib emphasizes the challenges in segmenting and recognizing English characters using CNN, revealing the need for supplementary techniques to mitigate errors. …”
Get full text

Research of Fault Feature Extraction and Diagnosis of Planetary Gear Train based on SPS and CNN by Pan Zheng, Jianhua Zhou, Sujie Gao, Ben Chen, Xiangxiong Liu, Shijing Wu

Get full text

Facial Emotion Recognition and Classification Using the Convolutional Neural Network-10 (CNN-10) by Emmanuel Gbenga Dada, David Opeoluwa Oyewola, Stephen Bassi Joseph, Onyeka Emebo, Olugbenga Oluseun Oluwagbemi

“…The performance of the proposed models was compared with that of VGG19 and INCEPTIONV3. The CNN-10 outperformed the other models on the CK + dataset with a 99.9% accuracy score, FER-2013 with an accuracy of 84.3%, and JAFFE with an accuracy of 95.4%.…”
Get full text

Image experience prediction for historic districts using a CNN-transformer fusion model by Youping Teng, Weijia Wang

Subjects: “…convolutional neural network (CNN)…”
Get full text

Deep Transfer Learning Method Based on 1D-CNN for Bearing Fault Diagnosis by Jun He, Xiang Li, Yong Chen, Danfeng Chen, Jing Guo, Yan Zhou

“…To solve the problem, we propose a deep transfer learning method based on 1D-CNN for rolling bearing fault diagnosis. First, 1-dimension convolutional neural network (1D-CNN), as the basic framework, is used to extract features from vibration signal. …”
Get full text

TOWARDS ECOLOGICAL SUSTAINABILITY: HARVEST PREDICTION IN AGRIVOLTAIC CHILI FARMING WITH CNN TRANSFER LEARNING by Yurni Oktarina, Zainuddin Nawawi, Bhakti Yudho Suprapto, Tresna Dewi

Subjects: “…Agrivoltaic systems, Convolutional Neural Networks (CNN), Chili harvest prediction, Sustainable agriculture, Transfer learning…”
Get full text

R-CNN Based Vehicle Object Detection via Segmentation Capabilities in Road Scenes by Bisma Riaz Chughtai, Haifa F. Alhasson, Mohammed Alnusayri, Mohammed Alatiyyah, Hanan Aljuaid, Ahmad Jalal, Jeongmin Park

“…We employ the Recurrent Convolutional Neural Network (R-CNN) classifier for classification. Experimental results from two datasets demonstrate superior performance, with the model achieving an accuracy of 0.94% on the BITVehicle dataset and 0.98% on the Vehicle-OpenImage dataset. …”
Get full text

Optimizing colorectal polyp detection and localization: Impact of RGB color adjustment on CNN performance by Jirakorn Jamrasnarodom, Pharuj Rajborirug, Pises Pisespongsa, Kitsuchart Pasupa

Subjects: “…Bayesian-Optimized RGB Color Adjustment for CNN Performance Enhancement…”
Get full text

Energy consumption prediction using modified deep CNN-Bi LSTM with attention mechanism by Adel Binbusayyis, Mohemmed Sha

“…Followed by that, Modified Deep CNN-Bi-LSTM (Convolutional Neural Network and Bi-directional Long Short Term Memory) with attention mechanism is utilized for regression which extracts temporal and spatial complex features. …”
Get full text

Multiscale Mask R-CNN–Based Lung Tumor Detection Using PET Imaging by Rui Zhang PhD, Chao Cheng PhD, Xuehua Zhao PhD, Xuechen Li PhD

“…First, we produced 3 models of Mask R-CNN for lung tumor candidate detection. These 3 models were generated by fine-tuning the Mask R-CNN using certain training data that consisted of images from 3 different scales. …”
Get full text