Pub Date : 2023-04-20DOI: 10.1142/s0218213023500446
K. Indhumathi, K. Kumar
{"title":"Efficient Prediction of Seasonal Infectious Diseases Using Hybrid Machine Learning Algorithms with Feature Selection Techniques","authors":"K. Indhumathi, K. Kumar","doi":"10.1142/s0218213023500446","DOIUrl":"https://doi.org/10.1142/s0218213023500446","url":null,"abstract":"","PeriodicalId":50280,"journal":{"name":"International Journal on Artificial Intelligence Tools","volume":" ","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42296358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-20DOI: 10.1142/s0218213023500422
M. S. Alexiou, N. Bourbakis
{"title":"Pinakas: A Methodology for Deep Analysis of Tables in Technical Documents","authors":"M. S. Alexiou, N. Bourbakis","doi":"10.1142/s0218213023500422","DOIUrl":"https://doi.org/10.1142/s0218213023500422","url":null,"abstract":"","PeriodicalId":50280,"journal":{"name":"International Journal on Artificial Intelligence Tools","volume":"176 1","pages":"2350042:1-2350042:26"},"PeriodicalIF":1.1,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76756493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-04DOI: 10.1142/s0218213023500355
A. Deshpande, M. Subashini
{"title":"Transfer Learning-based Drowsiness Detection System for Driver Assistance and Classification of Traffic Signs Employing a Deep Convolutional Neural Network","authors":"A. Deshpande, M. Subashini","doi":"10.1142/s0218213023500355","DOIUrl":"https://doi.org/10.1142/s0218213023500355","url":null,"abstract":"","PeriodicalId":50280,"journal":{"name":"International Journal on Artificial Intelligence Tools","volume":" ","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45944174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-22DOI: 10.1142/s0218213023500379
K. Ilyas, I. Younas
{"title":"Enhancing Dynamic Multi-objective Optimization Using Opposition-based Learning and Simulated Annealing","authors":"K. Ilyas, I. Younas","doi":"10.1142/s0218213023500379","DOIUrl":"https://doi.org/10.1142/s0218213023500379","url":null,"abstract":"","PeriodicalId":50280,"journal":{"name":"International Journal on Artificial Intelligence Tools","volume":"6 1","pages":"2350037:1-2350037:24"},"PeriodicalIF":1.1,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85765758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-22DOI: 10.1142/s0218213023500367
N. Mukherjee, S. Sengupta
{"title":"A Hybrid CNN Model for Deep Feature Extraction for Diabetic Retinopathy Detection and Gradation","authors":"N. Mukherjee, S. Sengupta","doi":"10.1142/s0218213023500367","DOIUrl":"https://doi.org/10.1142/s0218213023500367","url":null,"abstract":"","PeriodicalId":50280,"journal":{"name":"International Journal on Artificial Intelligence Tools","volume":" ","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47673911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-22DOI: 10.1142/s0218213023500380
B. Gupta, N. Mishra
{"title":"Deep Ensemble Classification with Self Improved Optimization for Attack Detection Towards Secured Virtualization in Cloud","authors":"B. Gupta, N. Mishra","doi":"10.1142/s0218213023500380","DOIUrl":"https://doi.org/10.1142/s0218213023500380","url":null,"abstract":"","PeriodicalId":50280,"journal":{"name":"International Journal on Artificial Intelligence Tools","volume":" ","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43744562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-07DOI: 10.1142/s0218213023500343
K. Shubham, V. Tiwari, K. Patel
{"title":"Predictive Learning Methods to Price European Options Using Ensemble Model and Multi-asset Data","authors":"K. Shubham, V. Tiwari, K. Patel","doi":"10.1142/s0218213023500343","DOIUrl":"https://doi.org/10.1142/s0218213023500343","url":null,"abstract":"","PeriodicalId":50280,"journal":{"name":"International Journal on Artificial Intelligence Tools","volume":" ","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46375425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-07DOI: 10.1142/s0218213023600114
K. Chrysafiadi, M. Virvou, G. Tsihrintzis, I. Hatzilygeroudis
{"title":"An Adaptive Learning Environment for Programming Based on Fuzzy Logic and Machine Learning","authors":"K. Chrysafiadi, M. Virvou, G. Tsihrintzis, I. Hatzilygeroudis","doi":"10.1142/s0218213023600114","DOIUrl":"https://doi.org/10.1142/s0218213023600114","url":null,"abstract":"","PeriodicalId":50280,"journal":{"name":"International Journal on Artificial Intelligence Tools","volume":"51 1","pages":"2360011:1-2360011:19"},"PeriodicalIF":1.1,"publicationDate":"2023-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80956967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1142/s0218213023020013
A. Valls, T. Alsinet, A. Moreno
{"title":"Editorial: Special Issue on Data Mining, Machine Learning and Decision Support Systems in Health Care","authors":"A. Valls, T. Alsinet, A. Moreno","doi":"10.1142/s0218213023020013","DOIUrl":"https://doi.org/10.1142/s0218213023020013","url":null,"abstract":"","PeriodicalId":50280,"journal":{"name":"International Journal on Artificial Intelligence Tools","volume":"209 ","pages":"2302001:1-2302001:3"},"PeriodicalIF":1.1,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72495150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1142/s0218213023400031
Min Yang, Austin Lin Yee, Jiafeng Yu
This study aimed to investigate the effect of an image denoising algorithm based on weighted low-rank matrix restoration on thyroid nodule ultrasound images. A total of 1000 original ultrasound image data sets of thyroid nodules were selected as the study samples. The nodule segmentation data set of thyroid ultrasound region of interest (ROI) images was drawn and acquired. By introducing multiscale features and an attention mechanism to optimize the U-Net model, an ultrasound image segmentation model (F-U-Net) was constructed. The performance of the traditional U network model and full convolutional neural network model (FCN) was analyzed and compared by simulation experiments. The results showed that the dice coefficient, accuracy, and recall of the improved loss function in this study were significantly higher than those of the traditional cross entropy loss function and dice coefficient loss function, and the differences were statistically significant (P < 0.05). The Dice coefficient, accuracy, and recall of the F-U-net model were significantly higher than those of the traditional FCN model and U-net model (P < 0.05). The diagnostic sensitivity, specificity, accuracy, and positive predictive value of the F-U-net model for benign and malignant thyroid nodules were significantly higher than those of the FCN model and U-net model (P < 0.05). In summary, the proposed F-U network can effectively process the ultrasound images of thyroid nodules, improve the image quality, and help to improve the diagnostic effect of benign and malignant thyroid nodules. It provides a data reference for segmentation and reconstruction of benign and malignant ultrasound images of thyroid nodules.
{"title":"Ultrasound Image Segmentation and Classification of Benign and Malignant Thyroid Nodules on the Basis of Deep Learning","authors":"Min Yang, Austin Lin Yee, Jiafeng Yu","doi":"10.1142/s0218213023400031","DOIUrl":"https://doi.org/10.1142/s0218213023400031","url":null,"abstract":"This study aimed to investigate the effect of an image denoising algorithm based on weighted low-rank matrix restoration on thyroid nodule ultrasound images. A total of 1000 original ultrasound image data sets of thyroid nodules were selected as the study samples. The nodule segmentation data set of thyroid ultrasound region of interest (ROI) images was drawn and acquired. By introducing multiscale features and an attention mechanism to optimize the U-Net model, an ultrasound image segmentation model (F-U-Net) was constructed. The performance of the traditional U network model and full convolutional neural network model (FCN) was analyzed and compared by simulation experiments. The results showed that the dice coefficient, accuracy, and recall of the improved loss function in this study were significantly higher than those of the traditional cross entropy loss function and dice coefficient loss function, and the differences were statistically significant (P < 0.05). The Dice coefficient, accuracy, and recall of the F-U-net model were significantly higher than those of the traditional FCN model and U-net model (P < 0.05). The diagnostic sensitivity, specificity, accuracy, and positive predictive value of the F-U-net model for benign and malignant thyroid nodules were significantly higher than those of the FCN model and U-net model (P < 0.05). In summary, the proposed F-U network can effectively process the ultrasound images of thyroid nodules, improve the image quality, and help to improve the diagnostic effect of benign and malignant thyroid nodules. It provides a data reference for segmentation and reconstruction of benign and malignant ultrasound images of thyroid nodules.","PeriodicalId":50280,"journal":{"name":"International Journal on Artificial Intelligence Tools","volume":"71 1","pages":"2340003:1-2340003:23"},"PeriodicalIF":1.1,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87429775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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