Pub Date : 2024-01-05DOI: 10.1142/s2424922x23500043
Gökhan Dede
{"title":"Assessment Of Mars Analog Habitation Plans Using Network Analysis Methodologies","authors":"Gökhan Dede","doi":"10.1142/s2424922x23500043","DOIUrl":"https://doi.org/10.1142/s2424922x23500043","url":null,"abstract":"","PeriodicalId":47145,"journal":{"name":"Advances in Data Science and Adaptive Analysis","volume":"30 3","pages":""},"PeriodicalIF":0.6,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139449694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-10DOI: 10.1142/s2424922x23500031
C. Bhavani, A. Govardhan
{"title":"A Novel Genetic-Inspired Binary Firefly Algorithm for Feature Selection in the Prediction of Cervical Cancer","authors":"C. Bhavani, A. Govardhan","doi":"10.1142/s2424922x23500031","DOIUrl":"https://doi.org/10.1142/s2424922x23500031","url":null,"abstract":"","PeriodicalId":47145,"journal":{"name":"Advances in Data Science and Adaptive Analysis","volume":"24 1","pages":"2350003:1-2350003:17"},"PeriodicalIF":0.6,"publicationDate":"2023-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72501688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-04DOI: 10.1142/s2424922x23500018
Pius Ngwa, I. Ngaruye
{"title":"Big Data Analytics for Predictive System Maintenance Using Machine Learning Models","authors":"Pius Ngwa, I. Ngaruye","doi":"10.1142/s2424922x23500018","DOIUrl":"https://doi.org/10.1142/s2424922x23500018","url":null,"abstract":"","PeriodicalId":47145,"journal":{"name":"Advances in Data Science and Adaptive Analysis","volume":"55 1","pages":"2350001:1-2350001:16"},"PeriodicalIF":0.6,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85837863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-04DOI: 10.1142/s2424922x2350002x
Foued Saâdaoui, Hana Rabbouch, F. Dutheil, P. Bertrand, G. Boudet, K. Rouffiac, A. Chamoux
{"title":"Data Mining for Estimating the Impact of Physical Activity Levels on the Health-Related Well-Being","authors":"Foued Saâdaoui, Hana Rabbouch, F. Dutheil, P. Bertrand, G. Boudet, K. Rouffiac, A. Chamoux","doi":"10.1142/s2424922x2350002x","DOIUrl":"https://doi.org/10.1142/s2424922x2350002x","url":null,"abstract":"","PeriodicalId":47145,"journal":{"name":"Advances in Data Science and Adaptive Analysis","volume":"18 1","pages":"2350002:1-2350002:18"},"PeriodicalIF":0.6,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87658806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-09DOI: 10.1142/s2424922x22500115
Satarupa Uttarkabat, Abhaya Sharma, B. Patra
{"title":"A Novel Autoencoder Deep Architecture for Detecting the Outlier in Heterogeneous Data Sets","authors":"Satarupa Uttarkabat, Abhaya Sharma, B. Patra","doi":"10.1142/s2424922x22500115","DOIUrl":"https://doi.org/10.1142/s2424922x22500115","url":null,"abstract":"","PeriodicalId":47145,"journal":{"name":"Advances in Data Science and Adaptive Analysis","volume":"14 1","pages":"2250011:1-2250011:16"},"PeriodicalIF":0.6,"publicationDate":"2022-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82107091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-15DOI: 10.1142/s2424922x22500103
Maged Shoman, M. Amo-Boateng, Y. Adu-Gyamfi
{"title":"Multi-Purpose, Multi-Step Deep Learning Framework for Network-Level Traffic Flow Prediction","authors":"Maged Shoman, M. Amo-Boateng, Y. Adu-Gyamfi","doi":"10.1142/s2424922x22500103","DOIUrl":"https://doi.org/10.1142/s2424922x22500103","url":null,"abstract":"","PeriodicalId":47145,"journal":{"name":"Advances in Data Science and Adaptive Analysis","volume":"34 1","pages":"2250010:1-2250010:28"},"PeriodicalIF":0.6,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77523573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-07DOI: 10.1142/s2424922x22500097
Kenji Kume, Hiroshi Konashi, K. Higuchi
{"title":"Frequency-Weighted Singular Spectrum Analysis for Time Series","authors":"Kenji Kume, Hiroshi Konashi, K. Higuchi","doi":"10.1142/s2424922x22500097","DOIUrl":"https://doi.org/10.1142/s2424922x22500097","url":null,"abstract":"","PeriodicalId":47145,"journal":{"name":"Advances in Data Science and Adaptive Analysis","volume":"67 1","pages":"2250009:1-2250009:11"},"PeriodicalIF":0.6,"publicationDate":"2022-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83988344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-10DOI: 10.1142/s2424922x22500085
Christopher M. A. Bonenberger, W. Ertel, F. Schwenker, Markus Schneider
{"title":"Singular Spectrum Analysis and Circulant Maximum Variance Frames","authors":"Christopher M. A. Bonenberger, W. Ertel, F. Schwenker, Markus Schneider","doi":"10.1142/s2424922x22500085","DOIUrl":"https://doi.org/10.1142/s2424922x22500085","url":null,"abstract":"","PeriodicalId":47145,"journal":{"name":"Advances in Data Science and Adaptive Analysis","volume":"49 1","pages":"2250008:1-2250008:27"},"PeriodicalIF":0.6,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84570944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-21DOI: 10.1142/s2424922x22500061
Kenza Belhouchette
For human beings, facial expression is one of the most powerful and natural ways to communicate their emotions and intentions. A human being is able to recognize facial expressions effortlessly, but for a machine, this task is very difficult. Today, facial expression recognition is proving to be one of the most relevant applications in many fields such as human–computer interaction, medicine, security, education, etc. Facial Action Coding System (FACS) is a method that describes face movements. This later became a main description tool used in the studies concerned with facial expression. In this paper, we propose an action units recognition system which reflects interest emotion using deep learning, particularly the Convolutional Neural Network (CNN) architecture “MobileNetV2”. Our choice of this system is motivated by its success in image classification. Our system allows detecting action units which define interest emotion from an input image. In other words, our classifier differentiates interest facial movements from other affective states. This identification is very useful in several areas, particularly in e-learning: For example, knowing whether a distance learner is interested or not in the course certainly influences the quality of learning and reduces the dropout rate. Our proposed approach presented a very satisfactory recognition rate despite the absence of a large database.
{"title":"Facial Action Units Detection to Identify Interest Emotion: An Application of Deep Learning","authors":"Kenza Belhouchette","doi":"10.1142/s2424922x22500061","DOIUrl":"https://doi.org/10.1142/s2424922x22500061","url":null,"abstract":"For human beings, facial expression is one of the most powerful and natural ways to communicate their emotions and intentions. A human being is able to recognize facial expressions effortlessly, but for a machine, this task is very difficult. Today, facial expression recognition is proving to be one of the most relevant applications in many fields such as human–computer interaction, medicine, security, education, etc. Facial Action Coding System (FACS) is a method that describes face movements. This later became a main description tool used in the studies concerned with facial expression. In this paper, we propose an action units recognition system which reflects interest emotion using deep learning, particularly the Convolutional Neural Network (CNN) architecture “MobileNetV2”. Our choice of this system is motivated by its success in image classification. Our system allows detecting action units which define interest emotion from an input image. In other words, our classifier differentiates interest facial movements from other affective states. This identification is very useful in several areas, particularly in e-learning: For example, knowing whether a distance learner is interested or not in the course certainly influences the quality of learning and reduces the dropout rate. Our proposed approach presented a very satisfactory recognition rate despite the absence of a large database.","PeriodicalId":47145,"journal":{"name":"Advances in Data Science and Adaptive Analysis","volume":"21 1","pages":"2250006:1-2250006:15"},"PeriodicalIF":0.6,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91119289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-12DOI: 10.1142/s2424922x22500073
Hua Lv
{"title":"Intelligent e-commerce Framework for Consumer Behavior Analysis Using Big Data Analytics","authors":"Hua Lv","doi":"10.1142/s2424922x22500073","DOIUrl":"https://doi.org/10.1142/s2424922x22500073","url":null,"abstract":"","PeriodicalId":47145,"journal":{"name":"Advances in Data Science and Adaptive Analysis","volume":"21 1","pages":"2250007:1-2250007:22"},"PeriodicalIF":0.6,"publicationDate":"2022-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87322943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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