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  • Open Access

    ARTICLE

    Dark-Forest: Analysis on the Behavior of Dark Web Traffic via DeepForest and PSO Algorithm

    Xin Tong1, Changlin Zhang2,*, Jingya Wang1, Zhiyan Zhao1, Zhuoxian Liu1

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 561-581, 2023, DOI:10.32604/cmes.2022.022495 - 29 September 2022

    Abstract The dark web is a shadow area hidden in the depths of the Internet, which is difficult to access through common search engines. Because of its anonymity, the dark web has gradually become a hotbed for a variety of cyber-crimes. Although some research based on machine learning or deep learning has been shown to be effective in the task of analyzing dark web traffic in recent years, there are still pain points such as low accuracy, insufficient real-time performance, and limited application scenarios. Aiming at the difficulties faced by the existing automated dark web traffic… More >

  • Open Access

    ARTICLE

    Weighted PageRank Algorithm Search Engine Ranking Model for Web Pages

    S. Samsudeen Shaffi1,*, I. Muthulakshmi2

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 183-192, 2023, DOI:10.32604/iasc.2023.031494 - 29 September 2022

    Abstract As data grows in size, search engines face new challenges in extracting more relevant content for users’ searches. As a result, a number of retrieval and ranking algorithms have been employed to ensure that the results are relevant to the user’s requirements. Unfortunately, most existing indexes and ranking algorithms crawl documents and web pages based on a limited set of criteria designed to meet user expectations, making it impossible to deliver exceptionally accurate results. As a result, this study investigates and analyses how search engines work, as well as the elements that contribute to higher… More >

  • Open Access

    ARTICLE

    Efficient Scalable Template-Matching Technique for Ancient Brahmi Script Image

    Sandeep Kaur*, Bharat Bhushan Sagar

    CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 1541-1559, 2023, DOI:10.32604/cmc.2023.032857 - 22 September 2022

    Abstract Analysis and recognition of ancient scripts is a challenging task as these scripts are inscribed on pillars, stones, or leaves. Optical recognition systems can help in preserving, sharing, and accelerate the study of the ancient scripts, but lack of standard dataset for such scripts is a major constraint. Although many scholars and researchers have captured and uploaded inscription images on various websites, manual searching, downloading and extraction of these images is tedious and error prone. Web search queries return a vast number of irrelevant results, and manually extracting images for a specific script is not More >

  • Open Access

    ARTICLE

    Video Conference System in Mixed Reality Using a Hololens

    Baolin Sun1,#, Xuesong Gao2,#, Weiqiang Chen2, Qihao Sun2, Xiaoxiao Cui1, Hao Guo1, Cishahayo Remesha Kevin1, Shuaishuai Liu2, Zhi Liu1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.1, pp. 383-403, 2023, DOI:10.32604/cmes.2022.020491 - 24 August 2022

    Abstract The mixed reality conference system proposed in this paper is a robust, real-time video conference application software that makes up for the simple interaction and lack of immersion and realism of traditional video conference, which realizes the entire process of holographic video conference from client to cloud to the client. This paper mainly focuses on designing and implementing a video conference system based on AI segmentation technology and mixed reality. Several mixed reality conference system components are discussed, including data collection, data transmission, processing, and mixed reality presentation. The data layer is mainly used for… More >

  • Open Access

    ARTICLE

    Automatic Clustering of User Behaviour Profiles for Web Recommendation System

    S. Sadesh1,*, Osamah Ibrahim Khalaf2, Mohammad Shorfuzzaman3, Abdulmajeed Alsufyani3, K. Sangeetha4, Mueen Uddin5

    Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 3365-3384, 2023, DOI:10.32604/iasc.2023.030751 - 17 August 2022

    Abstract Web usage mining, content mining, and structure mining comprise the web mining process. Web-Page Recommendation (WPR) development by incorporating Data Mining Techniques (DMT) did not include end-users with improved performance in the obtained filtering results. The cluster user profile-based clustering process is delayed when it has a low precision rate. Markov Chain Monte Carlo-Dynamic Clustering (MC2-DC) is based on the User Behavior Profile (UBP) model group’s similar user behavior on a dynamic update of UBP. The Reversible-Jump Concept (RJC) reviews the history with updated UBP and moves to appropriate clusters. Hamilton’s Filtering Framework (HFF) is designed… More >

  • Open Access

    ARTICLE

    Artificial Bee Colony with Cuckoo Search for Solving Service Composition

    Fadl Dahan1,2,*, Abdulelah Alwabel3

    Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 3385-3402, 2023, DOI:10.32604/iasc.2023.030651 - 17 August 2022

    Abstract In recent years, cloud computing has provided a Software As A Service (SaaS) platform where the software can be reused and applied to fulfill complicated user demands according to specific Quality of Services (QoS) constraints. The user requirements are formulated as a workflow consisting of a set of tasks. However, many services may satisfy the functionality of each task; thus, searching for the composition of the optimal service while maximizing the QoS is formulated as an NP-hard problem. This work will introduce a hybrid Artificial Bee Colony (ABC) with a Cuckoo Search (CS) algorithm to… More >

  • Open Access

    ARTICLE

    Web Page Recommendation Using Distributional Recurrent Neural Network

    Chaithra1,*, G. M. Lingaraju2, S. Jagannatha3

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 803-817, 2023, DOI:10.32604/csse.2023.028770 - 16 August 2022

    Abstract In the data retrieval process of the Data recommendation system, the matching prediction and similarity identification take place a major role in the ontology. In that, there are several methods to improve the retrieving process with improved accuracy and to reduce the searching time. Since, in the data recommendation system, this type of data searching becomes complex to search for the best matching for given query data and fails in the accuracy of the query recommendation process. To improve the performance of data validation, this paper proposed a novel model of data similarity estimation and… More >

  • Open Access

    ARTICLE

    How well do urology residency program webpages recruit underrepresented minorities?

    Sarah Azari1,*, Briana Goddard1,*, Aadit Mehta2, Dhruv Sharma2, Thomas W. Jarrett1

    Canadian Journal of Urology, Vol.29, No.3, pp. 11150-11153, 2022

    Abstract Introduction: Historically, the field of medicine has suffered from a lack of diversity. This project examines if urology residency program websites were actively attempting to recruit underrepresented minority applicants with the hypothesis that while some programs would attempt to attract such applicants on their website, the majority would not.
    Materials and methods: A cross-sectional analysis of program webpages for information regarding underrepresented minorities was performed. Electronic Residency Application Service residency database was used to identify 130 urology residency programs. Three were no longer accepting residents and were not included. The publicly available webpages of 137 urology residency… More >

  • Open Access

    ARTICLE

    NAMO Géoweb

    Une plateforme pour valoriser la narration et la modélisation de l’espace géographique et des territoires

    Jean-Pierre Chery1, Marie Gradeler1, Vincent Bonnal2,3,4

    Revue Internationale de Géomatique, Vol.31, No.2, pp. 355-376, 2022, DOI:10.3166/rig31.355-376

    Abstract Les besoins de valoriser et de partager des informations génériques et originales de différents projets de recherche, ont conduit à concevoir une plateforme géoweb dédiée, dénommée NAMO. Sa conception utilise des fonctionnalités ouvertes, libres et gratuites qui montrent leur souplesse dans une démarche agile et itérative. C’est en particulier le développement de deux dimensions de valorisation et de positionnement en géoweb 2.0 qui est souligné : la cartographie narrative et la modélisation systémique. Les dispositifs d’usage de l’information géographique, en particulier dans les démarches de co-construction et de science ouverte, peuvent ainsi être mieux outillés. More >

  • Open Access

    ARTICLE

    « Sans tabou »
    Une web-série pour aborder la sexualité chez les jeunes patients atteints de cancer

    F. Ait-Kaci, S. Vanderosieren, C. Lervat

    Psycho-Oncologie, Vol.16, No.3, pp. 289-293, 2022, DOI:10.3166/pson-2022-0205

    Abstract Même bouleversée par le cancer, la sexualité peut rester une source de satisfaction pour les jeunes patients. Or, dans l’esprit général, sexualité et cancer figurent comme deux tabous, deux figures antinomiques qui ne peuvent coexister ensemble. Pour dépasser ce paradoxe, la websérie Sans tabou se propose comme un outil de médiation spécifique à la tranche d’âge 17–25 ans abordant avec acuité et humour le thème de la vie amoureuse et sexuelle lors d’un cancer. Ses objectifs sont d’encourager les professionnels de santé à approcher ce sujet de manière ludique et didactique, de combattre les idées More >

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