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Performance Analysis of Intelligent Neural-Based Deep Learning System on Rank Images Classification
《Computer Systems Science & Engineering》2023年第11期2219-2239,共21页Muhammad Hameed Siddiqi Asfandyar Khan Muhammad Bilal Khan Abdullah Khan Madallah Alruwaili Saad Alanazi 
funded by the Deanship of Scientific Research at Jouf University under Gran Number DSR–2022–RG–0101.
The use of the internet is increasing all over the world on a daily basis in the last two decades.The increase in the internet causes many sexual crimes,such as sexual misuse,domestic violence,and child pornography.Va...
关键词:VGG-16 VGG-14 pornography detection EXPANSION ResNet-50 convolution neural network(CNN) machine learning 
Towards Intelligent Detection and Classification of Rice Plant Diseases Based on Leaf Image Dataset被引量:1
《Computer Systems Science & Engineering》2023年第11期1385-1413,共29页Fawad Ali Shah Habib Akbar Abid Ali Parveen Amna Maha Aljohani Eman A.Aldhahri Harun Jamil 
funded by the University of Haripur,KP Pakistan Researchers Supporting Project number (PKURFL2324L33)。
The detection of rice leaf disease is significant because,as an agricultural and rice exporter country,Pakistan needs to advance in production and lower the risk of diseases.In this rapid globalization era,information...
关键词:Rice plant disease detection convolution neural network image classification biological classification 
Prediction of the Wastewater’s pH Based on Deep Learning Incorporating Sliding Windows
《Computer Systems Science & Engineering》2023年第10期1043-1059,共17页Aiping Xu Xuan Zou Chao Wang 
This research was funded by the National Key R&D Program of China(No.2018YFB2100603);the Key R&D Program of Hubei Province(No.2022BAA048);the National Natural Science Foundation of China program(No.41890822);the Open Fund of National Engineering Research Centre for Geographic Information System,China University of Geosciences,Wuhan 430074,China(No.2022KFJJ07);The numerical calculations in this paper have been done on the supercomputing system in the Supercomputing Centre of Wuhan University.
To protect the environment,the discharged sewage’s quality must meet the state’s discharge standards.There are many water quality indicators,and the pH(Potential of Hydrogen)value is one of them.The natural water’s...
关键词:Deep learning wastewater’s pH convolution neural network(CNN) PREDICTION sliding window 
Identifying Severity of COVID-19 Medical Images by Categorizing Using HSDC Model
《Computer Systems Science & Engineering》2023年第10期613-635,共23页K.Ravishankar C.Jothikumar 
Since COVID-19 infections are increasing all over the world,there is a need for developing solutions for its early and accurate diagnosis is a must.Detectionmethods for COVID-19 include screeningmethods like Chest X-r...
关键词:CT-SCAN convolution neural network(CNN) deep CNN(HSDC) hybrid support vector machine(SVM) improved chicken swarmoptimization(ICHO) COVID-19 and image profile(IP) 
TC-Net:A Modest&Lightweight Emotion Recognition System Using Temporal Convolution Network
《Computer Systems Science & Engineering》2023年第9期3355-3369,共15页Muhammad Ishaq Mustaqeem Khan Soonil Kwon 
Speech signals play an essential role in communication and provide an efficient way to exchange information between humans and machines.Speech Emotion Recognition(SER)is one of the critical sources for human evaluatio...
关键词:Affective computing deep learning emotion recognition speech signal temporal convolutional network 
Real-Time Multi-Feature Approximation Model-Based Efficient Brain Tumor Classification Using Deep Learning Convolution Neural Network Model
《Computer Systems Science & Engineering》2023年第9期3883-3899,共17页Amarendra Reddy Panyala M.Baskar 
The deep learning models are identified as having a significant impact on various problems.The same can be adapted to the problem of brain tumor classification.However,several deep learning models are presented earlie...
关键词:CNN deep learning brain tumor classification MFA-CNN MVFSM 3D MRI texture GABOR 
Using Recurrent Neural Network Structure and Multi-Head Attention with Convolution for Fraudulent Phone Text Recognition
《Computer Systems Science & Engineering》2023年第8期2277-2297,共21页Junjie Zhou Hongkui Xu Zifeng Zhang Jiangkun Lu Wentao Guo Zhenye Li 
This researchwas funded by the Major Science and Technology Innovation Project of Shandong Province in China(2019JZZY010120).
Fraud cases have been a risk in society and people’s property security has been greatly threatened.In recent studies,many promising algorithms have been developed for social media offensive text recognition as well a...
关键词:BiLSTM BiGRU multi-head attention mechanism CNN 
Identification of Key Links in Electric Power Operation Based-Spatiotemporal Mixing Convolution Neural Network
《Computer Systems Science & Engineering》2023年第8期1487-1501,共15页Lei Feng Bo Wang Fuqi Ma Hengrui Ma Mohamed AMohamed 
This paper is supported by the Science and technology projects of Yunnan Province(Grant No.202202AD080004).
As the scale of the power system continues to expand,the environment for power operations becomes more and more complex.Existing risk management and control methods for power operations can only set the same risk dete...
关键词:Security risk management key links identifications electric power operation spatiotemporal mixing convolution neural network MobileNet network 
MDEV Model:A Novel Ensemble-Based Transfer Learning Approach for Pneumonia Classification Using CXR Images
《Computer Systems Science & Engineering》2023年第7期287-302,共16页Mehwish Shaikh Isma Farah Siddiqui Qasim Arain Jahwan Koo Mukhtiar Ali Unar Nawab Muhammad Faseeh Qureshi 
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(2021R1I1A1A01052299).
Pneumonia is a dangerous respiratory disease due to which breathing becomes incredibly difficult and painful;thus,catching it early is crucial.Medical physicians’time is limited in outdoor situations due to many pati...
关键词:Deep transfer learning convolution neural network image processing computer vision ensemble learning pneumonia classification MDEV model 
Cross-Validation Convolution Neural Network-Based Algorithm for Automated Detection of Diabetic Retinopathy
《Computer Systems Science & Engineering》2023年第5期1985-2000,共16页S.Sudha A.Srinivasan T.Gayathri Devi 
The substantial vision loss due to Diabetic Retinopathy(DR)mainly damages the blood vessels of the retina.These feature changes in the blood vessels fail to exist any manifestation in the eye at its initial stage,if t...
关键词:CNN networking SEGMENTATION hybrid classifier data set CROSSVALIDATION fundus image 
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