Inf. Comput.最新文献_第2页

Multi-Class Skin Cancer Classification Using Vision Transformer Networks and Convolutional Neural Network-Based Pre-Trained Models 基于视觉变换网络和卷积神经网络的预训练模型的多类皮肤癌分类

Inf. Comput. Pub Date : 2023-07-18 DOI: 10.3390/info14070415

Muhammad Asad Arshed, Shahzad Mumtaz, Muhammad Ibrahim, Saeed Ahmed, Muhammad Tahir, Muhammad Shafi

{"title":"Multi-Class Skin Cancer Classification Using Vision Transformer Networks and Convolutional Neural Network-Based Pre-Trained Models","authors":"Muhammad Asad Arshed, Shahzad Mumtaz, Muhammad Ibrahim, Saeed Ahmed, Muhammad Tahir, Muhammad Shafi","doi":"10.3390/info14070415","DOIUrl":"https://doi.org/10.3390/info14070415","url":null,"abstract":"Skin cancer, particularly melanoma, has been recognized as one of the most lethal forms of cancer. Detecting and diagnosing skin lesions accurately can be challenging due to the striking similarities between the various types of skin lesions, such as melanoma and nevi, especially when examining the color images of the skin. However, early diagnosis plays a crucial role in saving lives and reducing the burden on medical resources. Consequently, the development of a robust autonomous system for skin cancer classification becomes imperative. Convolutional neural networks (CNNs) have been widely employed over the past decade to automate cancer diagnosis. Nonetheless, the emergence of the Vision Transformer (ViT) has recently gained a considerable level of popularity in the field and has emerged as a competitive alternative to CNNs. In light of this, the present study proposed an alternative method based on the off-the-shelf ViT for identifying various skin cancer diseases. To evaluate its performance, the proposed method was compared with 11 CNN-based transfer learning methods that have been known to outperform other deep learning techniques that are currently in use. Furthermore, this study addresses the issue of class imbalance within the dataset, a common challenge in skin cancer classification. In addressing this concern, the proposed study leverages the vision transformer and the CNN-based transfer learning models to classify seven distinct types of skin cancers. Through our investigation, we have found that the employment of pre-trained vision transformers achieved an impressive accuracy of 92.14%, surpassing CNN-based transfer learning models across several evaluation metrics for skin cancer diagnosis.","PeriodicalId":13622,"journal":{"name":"Inf. Comput.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76250957","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}

引用次数: 3

Artificial Intelligence Generative Tools and Conceptual Knowledge in Problem Solving in Chemistry 化学问题解决中的人工智能生成工具和概念知识

Inf. Comput. Pub Date : 2023-07-16 DOI: 10.3390/info14070409

Wajeeh M. Daher, Hussam Diab, A. Rayan

引用次数: 0

Analyzing Social Media Data Using Sentiment Mining and Bigram Analysis for the Recommendation of YouTube Videos 基于情感挖掘和双元图分析的YouTube视频推荐社交媒体数据分析

Inf. Comput. Pub Date : 2023-07-16 DOI: 10.3390/info14070408

Ken McGarry

引用次数: 0

Breast Cancer Detection in Mammography Images: A CNN-Based Approach with Feature Selection 乳房x线摄影图像中的乳腺癌检测:基于cnn的特征选择方法

Inf. Comput. Pub Date : 2023-07-16 DOI: 10.3390/info14070410

Zahra Jafari, E. Karami

{"title":"Breast Cancer Detection in Mammography Images: A CNN-Based Approach with Feature Selection","authors":"Zahra Jafari, E. Karami","doi":"10.3390/info14070410","DOIUrl":"https://doi.org/10.3390/info14070410","url":null,"abstract":"The prompt and accurate diagnosis of breast lesions, including the distinction between cancer, non-cancer, and suspicious cancer, plays a crucial role in the prognosis of breast cancer. In this paper, we introduce a novel method based on feature extraction and reduction for the detection of breast cancer in mammography images. First, we extract features from multiple pre-trained convolutional neural network (CNN) models, and then concatenate them. The most informative features are selected based on their mutual information with the target variable. Subsequently, the selected features can be classified using a machine learning algorithm. We evaluate our approach using four different machine learning algorithms: neural network (NN), k-nearest neighbor (kNN), random forest (RF), and support vector machine (SVM). Our results demonstrate that the NN-based classifier achieves an impressive accuracy of 92% on the RSNA dataset. This dataset is newly introduced and includes two views as well as additional features like age, which contributed to the improved performance. We compare our proposed algorithm with state-of-the-art methods and demonstrate its superiority, particularly in terms of accuracy and sensitivity. For the MIAS dataset, we achieve an accuracy as high as 94.5%, and for the DDSM dataset, an accuracy of 96% is attained. These results highlight the effectiveness of our method in accurately diagnosing breast lesions and surpassing existing approaches.","PeriodicalId":13622,"journal":{"name":"Inf. Comput.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89957945","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}

引用次数: 2

Health Monitoring Apps: An Evaluation of the Persuasive System Design Model for Human Wellbeing 健康监测应用:对人类福祉的说服性系统设计模型的评估

Inf. Comput. Pub Date : 2023-07-16 DOI: 10.3390/info14070412

Asif Hussian, Abdul Mateen, Farhan Amin, Muhammad Ali Abid, S. Ullah

{"title":"Health Monitoring Apps: An Evaluation of the Persuasive System Design Model for Human Wellbeing","authors":"Asif Hussian, Abdul Mateen, Farhan Amin, Muhammad Ali Abid, S. Ullah","doi":"10.3390/info14070412","DOIUrl":"https://doi.org/10.3390/info14070412","url":null,"abstract":"In the current era of ubiquitous computing and mobile technology, almost all human beings use various self-monitoring applications. Mobile applications could be the best health assistant for safety and adopting a healthy lifestyle. Therefore, persuasive designing is a compulsory element for designing such apps. A popular model for persuasive design named the Persuasive System Design (PSD) model is a generalized model for whole persuasive technologies. Any type of persuasive application could be designed using this model. Designing any special type of application using the PSD model could be difficult because of its generalized behavior which fails to provide moral support for users of health applications. There is a strong need to propose a customized and improved persuasive system design model for each category to overcome the issue. This study evaluates the PSD model and finds persuasive gaps in users of the Mobile Health Monitoring application, developed by following the PSD model. Furthermore, this study finds that users misunderstand health-related problems when using such apps. A misunderstanding of this nature can have serious consequences for the user’s life in some cases.","PeriodicalId":13622,"journal":{"name":"Inf. Comput.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89124122","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}

引用次数: 0

Assessing the Solid Protocol in Relation to Security and Privacy Obligations 评估与安全和隐私义务相关的固态协议

Inf. Comput. Pub Date : 2023-07-16 DOI: 10.3390/info14070411

C. Esposito, Ross Horne, L. Robaldo, B. Buelens, Elfi Goesaert

{"title":"Assessing the Solid Protocol in Relation to Security and Privacy Obligations","authors":"C. Esposito, Ross Horne, L. Robaldo, B. Buelens, Elfi Goesaert","doi":"10.3390/info14070411","DOIUrl":"https://doi.org/10.3390/info14070411","url":null,"abstract":"The Solid specification aims to empower data subjects by giving them direct access control over their data across multiple applications. As governments are manifesting their interest in this framework for citizen empowerment and e-government services, security and privacy represent pivotal issues to be addressed. By analysing the relevant legislation, with an emphasis on GDPR and officially approved documents such as codes of conduct and relevant security ISO standards, we formulate the primary security and privacy requirements for such a framework. The legislation places some obligations on pod providers, much like cloud services. However, what is more interesting is that Solid has the potential to support GDPR compliance of Solid apps and data users that connect, via the protocol, to Solid pods containing personal data. A Solid-based healthcare use case is illustrated where identifying such controllers responsible for apps and data users is essential for the system to be deployed. Furthermore, we survey the current Solid protocol specifications regarding how they cover the highlighted requirements, and draw attention to potential gaps between the specifications and requirements. We also point out the contribution of recent academic work presenting novel approaches to increase the security and privacy degree provided by the Solid project. This paper has a twofold contribution to improve user awareness of how Solid can help protect their data and to present possible future research lines on Solid security and privacy enhancements.","PeriodicalId":13622,"journal":{"name":"Inf. Comput.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81798592","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}

引用次数: 2

Arabic Mispronunciation Recognition System Using LSTM Network 基于LSTM网络的阿拉伯语发音错误识别系统

Inf. Comput. Pub Date : 2023-07-16 DOI: 10.3390/info14070413

A. Ahmed, Mohamed Bader, I. Shahin, A. B. Nassif, N. Werghi, Mohammad Basel

{"title":"Arabic Mispronunciation Recognition System Using LSTM Network","authors":"A. Ahmed, Mohamed Bader, I. Shahin, A. B. Nassif, N. Werghi, Mohammad Basel","doi":"10.3390/info14070413","DOIUrl":"https://doi.org/10.3390/info14070413","url":null,"abstract":"The Arabic language has always been an immense source of attraction to various people from different ethnicities by virtue of the significant linguistic legacy that it possesses. Consequently, a multitude of people from all over the world are yearning to learn it. However, people from different mother tongues and cultural backgrounds might experience some hardships regarding articulation due to the absence of some particular letters only available in the Arabic language, which could hinder the learning process. As a result, a speaker-independent and text-dependent efficient system that aims to detect articulation disorders was implemented. In the proposed system, we emphasize the prominence of “speech signal processing” in diagnosing Arabic mispronunciation using the Mel-frequency cepstral coefficients (MFCCs) as the optimum extracted features. In addition, long short-term memory (LSTM) was also utilized for the classification process. Furthermore, the analytical framework was incorporated with a gender recognition model to perform two-level classification. Our results show that the LSTM network significantly enhances mispronunciation detection along with gender recognition. The LSTM models attained an average accuracy of 81.52% in the proposed system, reflecting a high performance compared to previous mispronunciation detection systems.","PeriodicalId":13622,"journal":{"name":"Inf. Comput.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87023997","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}

引用次数: 3

Improved Spacecraft Authentication Method for Satellite Internet System Using Residue Codes 利用剩余码改进的卫星互联网系统航天器认证方法

Inf. Comput. Pub Date : 2023-07-15 DOI: 10.3390/info14070407

Alexander A. Olenev, I. Kalmykov, V. Pashintsev, N. Chistousov, D. V. Dukhovnyj, N. Kalmykova

{"title":"Improved Spacecraft Authentication Method for Satellite Internet System Using Residue Codes","authors":"Alexander A. Olenev, I. Kalmykov, V. Pashintsev, N. Chistousov, D. V. Dukhovnyj, N. Kalmykova","doi":"10.3390/info14070407","DOIUrl":"https://doi.org/10.3390/info14070407","url":null,"abstract":"Low-orbit satellite internet (LOSI) expands the scope of the Industrial Internet of Things (IIoT) in the oil and gas industry (OGI) to include areas of the Far North. However, due to the large length of the communication channel, the number of threats and attacks increases. A special place among them is occupied by relay spoofing interference. In this case, an intruder satellite intercepts the control signal coming from the satellite (SC), delays it, and then imposes it on the receiver located on the unattended OGI object. This can lead to a disruption of the facility and even cause an environmental disaster. To prevent a spoofing attack, a satellite authentication method has been developed that uses a zero-knowledge authentication protocol (ZKAP). These protocols have high cryptographic strength without the use of encryption. However, they have a significant drawback. This is their low authentication speed, which is caused by calculations over a large module Q (128 bits or more). It is possible to reduce the time of determining the status of an SC by switching to parallel computing. To solve this problem, the paper proposes to use residue codes (RC). Addition, subtraction, and multiplication operations are performed in parallel in RC. Thus, a correct choice of a set of modules of RC allows for providing an operating range of calculations not less than the number Q. Therefore, the development of a spacecraft authentication method for the satellite internet system using RC that allows for reducing the authentication time is an urgent task.","PeriodicalId":13622,"journal":{"name":"Inf. Comput.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84754230","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}

引用次数: 0

Virtual Restaurants: Customer Experience Keeps Their Businesses Alive 虚拟餐厅:顾客体验让他们的业务保持活力

Inf. Comput. Pub Date : 2023-07-15 DOI: 10.3390/info14070406

Maria I. Klouvidaki, N. Antonopoulos, Georgios D. Styliaras, Andreas Kanavos

引用次数: 0

Linguistic Communication Channels Reveal Connections between Texts: The New Testament and Greek Literature 语言交流渠道揭示文本之间的联系:新约和希腊文学

Inf. Comput. Pub Date : 2023-07-14 DOI: 10.3390/info14070405

E. Matricciani

{"title":"Linguistic Communication Channels Reveal Connections between Texts: The New Testament and Greek Literature","authors":"E. Matricciani","doi":"10.3390/info14070405","DOIUrl":"https://doi.org/10.3390/info14070405","url":null,"abstract":"We studied two fundamental linguistic channels—the sentences and the interpunctions channels—and showed they can reveal deeper connections between texts. The applied theory does not follow the actual paradigm of linguistic studies. As a study case, we considered the Greek New Testament, with the purpose of determining mathematical connections between its texts and possible differences in the writing style (mathematically defined) of the writers and in the reading skill required of their readers. The analysis was based on deep-language parameters and communication/information theory. To set the New Testament texts in the larger Greek classical literature, we considered texts written by Aesop, Polybius, Flavius Josephus, and Plutarch. The results largely confirmed what scholars have found about the New Testament texts, therefore giving credibility to the theory. The Gospel according to John is very similar to the fables written by Aesop. Surprisingly, the Epistle to the Hebrews and Apocalypse are each other’s “photocopies” in the two linguistic channels and not linked to all other texts. These two texts deserve further study by historians of the early Christian church literature at the level of meaning, readers, and possible Old Testament texts that might have influenced them. The theory can guide scholars to study any literary corpus.","PeriodicalId":13622,"journal":{"name":"Inf. Comput.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89709681","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}

引用次数: 0