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1,344 results on '"El Saddik, Abdulmotaleb"'

18. Contributors

Author

Abrougui, Kaouther, primary, Al-Dalati, Issam, additional, Aloqaily, Moayad, additional, Bhardwaj, Devvrat, additional, Bouachir, Ouns, additional, Ceballos, Fernando, additional, Chen, Dongliang, additional, Dahir, Hazim, additional, El Saddik, Abdulmotaleb, additional, Faisal, Mohd, additional, Fallavollita, Pascal, additional, Ferdousi, Rahatara, additional, Gholizadeh, Kimia, additional, Gholizadeh HamlAbadi, Kamran, additional, Jutai, Jeffrey, additional, Karray, Fakhri, additional, Khattab, Ahmed, additional, Kumar, Raj, additional, Laamarti, Fedwa, additional, Luna, Jeff, additional, Lv, Zhihan, additional, Martinez-Velazquez, Roberto, additional, Martinez Velazquez, Roberto Alejandro, additional, Petriu, Emil, additional, Saghiri, Ali Mohammad, additional, Sanchez, Alejandro, additional, Ungab M.D., GilAnthony, additional, Vahdati, Monireh, additional, Verma, Rashika, additional, and Wang, Zhi, additional

Published
2023
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20. Non-invasive Anemia Detection from Conjunctival Images

Author

Ferdousi, Rahatara, Mabruba, Nabila, Laamarti, Fedwa, El Saddik, Abdulmotaleb, Yang, Chunsheng, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Berretti, Stefano, editor, and Su, Guan-Ming, editor

Published
2022
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26. Meetor: A Human-Centered Automatic Video Editing System for Meeting Recordings.

Author

Duan, Haihan, Liao, Junhua, Lin, Lehao, El Saddik, Abdulmotaleb, and Cai, Wei

Subjects
VIDEO editing, DIGITAL cameras, INFRARED cameras, SMARTPHONES, VIDEOS
Abstract

Widely adopted digital cameras and smartphones have generated a large number of videos, which have brought a tremendous workload to video editors. Recently, a variety of automatic/semi-automatic video editing methods have been proposed to tackle these issues in some specific areas. However, for the production of meeting recordings, the existing studies highly depend on extra equipment in the conference venues, such as the infrared camera or special microphone, which are not practical. In this article, we design and implement Meetor, a human-centered automatic video editing system for meeting recordings. The Meetor mainly contains three parts: an audio-based video synchronization algorithm, human-centered video content flaw detection algorithms, and an automatic video editing algorithm. Two main experiments are conducted from both objective and subjective aspects to evaluate the performance of the Meetor. The experimental results on a testbed illustrate that the proposed algorithms could achieve state-of-the-art (SOTA) performance in video content flaw detection. However, the conducted user study demonstrates that Meetor could generate meeting recordings with a satisfactory quality compared with professional video editors. Moreover, we also present a practical application of the Meetor in a university campus prototype, in which the Meetor is applied in the automatic editing of lecture recordings. All in all, the proposed Meetor can be utilized in practical applications to release the workload of professional video editors. [ABSTRACT FROM AUTHOR]

Published
2024
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27. Security with ECG Biometrics

Author

Arteaga Falconi, Juan Sebastian, El Saddik, Abdulmotaleb, Mukhopadhyay, Subhas Chandra, Series Editor, Derbel, Nabil, editor, and Kanoun, Olfa, editor

Published
2021
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29. Remote Photoplethysmography (rPPG) for Contactless Heart Rate Monitoring Using a Single Monochrome and Color Camera

Author

Ma, Xiaocong, Tobón, Diana P., El Saddik, Abdulmotaleb, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, McDaniel, Troy, editor, Berretti, Stefano, editor, Curcio, Igor D. D., editor, and Basu, Anup, editor

Published
2020
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30. Ontology Based Framework for Tactile Internet Applications

Author

Adhami, Hikmat, Al Ja’afreh, Mohammad, El Saddik, Abdulmotaleb, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, McDaniel, Troy, editor, Berretti, Stefano, editor, Curcio, Igor D. D., editor, and Basu, Anup, editor

Published
2020
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31. Non-invasive Lactate Threshold Estimation Using Machine Learning

Author

Badawi, Hawazin Faiz, Laamarti, Fedwa, Brunet, Ken, McNeely, Ed, El Saddik, Abdulmotaleb, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, McDaniel, Troy, editor, Berretti, Stefano, editor, Curcio, Igor D. D., editor, and Basu, Anup, editor

Published
2020
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36. Standardizing a Shoe Insole Based on ISO/IEEE 11073 Personal Health Device (X73-PHD) Standards

Author

Badawi, Hawazin, Laamarti, Fedwa, Arafsha, Faisal, El Saddik, Abdulmotaleb, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Rocha, Álvaro, editor, Ferrás, Carlos, editor, and Paredes, Manolo, editor

Published
2019
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38. Developing and Testing an Application to Assess the Impact of Smartphone Usage on Well-Being and Performance Outcomes of Student-Athletes

Author

DesClouds, Poppy, Laamarti, Fedwa, Durand-Bush, Natalie, El Saddik, Abdulmotaleb, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Rocha, Álvaro, editor, and Guarda, Teresa, editor

Published
2018
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39. ECOPPA: Extensible Context Ontology for Persuasive Physical-Activity Applications

Author

Hoda, Mohamad, Montaghami, Valeh, Al Osman, Hussein, El Saddik, Abdulmotaleb, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Rocha, Álvaro, editor, and Guarda, Teresa, editor

Published
2018
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41. Black-box Attack against Self-supervised Video Object Segmentation Models with Contrastive Loss.

Author

YING CHEN, RUI YAO, YONG ZHOU, JIAQI ZHAO, BING LIU, and EL SADDIK, ABDULMOTALEB

Subjects
DEEP learning, VIDEOS, DECISION making
Abstract

Deep learning models have been proven to be susceptible to malicious adversarial attacks, which manipulate input images to deceive the model into making erroneous decisions. Consequently, the threat posed to these models serves as a poignant reminder of the necessity to focus on the model security of object segmentation algorithms based on deep learning. However, the current landscape of research on adversarial attacks primarily centers around static images, resulting in a dearth of studies on adversarial attacks targeting Video Object Segmentation (VOS) models. Given that a majority of self-supervised VOS models rely on affinity matrices to learn feature representations of video sequences and achieve robust pixel correspondence, our investigation has delved into the impact of adversarial attacks on self-supervised VOS models. In response, we propose an innovative black-box attack method incorporating contrastive loss. This method induces segmentation errors in the model through perturbations in the feature space and the application of a pixel-level loss function. Diverging from conventional gradient-based attack techniques, we adopt an iterative black-box attack strategy that incorporates contrastive loss across the current frame, any two consecutive frames, and multiple frames. Through extensive experimentation conducted on the DAVIS 2016 and DAVIS 2017 datasets using three selfsupervised VOS models and one unsupervised VOS model, we unequivocally demonstrate the potent attack efficiency of the black-box approach. Remarkably, the J&F metric value experiences a significant decline of up to 50.08% post-attack. [ABSTRACT FROM AUTHOR]

Published
2024
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47. MediBook: Combining Semantic Networks with Metadata for Learning Resources To Build a Web Based Learning System.

Author

Steinacker, Achim, Faatz, Andreas, Seeberg, Cornelia, Rimac, Ivica, Hormann, Stefan, El Saddik, Abdulmotaleb, and Steinmetz, Ralf

Abstract

This paper gives an overview of MediBook, a joint project of the Medical Department of the University GieBen (Germany) and the Department of Electrical Engineering and Information Technology at Darmstadt University of Technology (Germany) funded by the Hessian Ministry for Science and Arts (HMWK). The basis of MediBook is a formal representation of the medical domain. The formal representation consists of the important medical concepts that are associated with each other by semantic relationships. In MediBook, three roles are supported: author, teacher, and learner. The goal of the project is the enhancement of education in medical schools by means of a flexible system, and currently learners in the context of MediBook are students of medical schools; however, the system can easily be used for advanced education of physicians or as an information system. The flexibility of the system aims at self-studying, independently from space and time. MediBook is a system that provides tools for storing, managing, and especially locating and combining learning resources. It offers means for both describing single sources (thereby putting them into a context) and combining single resources to courses. Thus MediBook represents a knowledge base with efficient access and tools to generate arbitrary coherent courses from single information units. (Contains 14 references.) (AEF)

Published
2001

48. Learning Objects Metadata and Tools in the Area of Operations Research.

Author

Kassanke, Stephan, El-Saddik, Abdulmotaleb, and Steinacker, Achim

Abstract

Information technology and the Internet are making inroads into almost all areas of society. The requirements of students and professionals are fast changing, and the information society requires lifelong learning in practically all areas, especially those related to information technologies. The educational sector can profit in particular from the benefits information technology adds to the ways of learning. The core techniques exist, and still the integration into the curricula and the integration of learning environments and traditional knowledge management systems and libraries cannot keep up with the pace of technology development. This paper focuses on the use of so called "learning objects" in the field of Operations Research and Management Science (OR/MS). Learning objects refer to pieces of information of different granularity that can be combined, linked, and reused. This paper demonstrates some of the above concepts by the LOM (Learning Object Metadata) editor of the Technical University of Darmstadt (Germany) and prototype systems developed in the project OR-World of the University of Paderborn (Germany), and gives an outlook into future development. (Author/AEF)

Published
2001

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