• A Broker-Based Manufacturing Supply Chain Integration with Blockchain: Managing Odoo Workflows Using Hyperledger Fabric Smart Contracts 

      Belhi, Abdelhak; Gasmi, Houssem; Hammi, Assam; Bouras, Abdelaziz; Aouni, Belaid; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)
      Nowadays, Blockchains are considered the go-to solution when it comes to secure and trust-ensuring platforms for critical data exchange. However, integrating this technology with existing systems is quite a challenging ...
    • A cost-effective 3d acquisition and visualization framework for cultural heritage 

      Ahmed, Hosameldin Osman; Belhi, Abdelhak; Alfaqheri, Taha; Bouras, Abdelaziz; Sadka, Abdul H.; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2021 , Conference Paper)
      Museums and cultural institutions, in general, are in a constant challenge of adding more value to their collections. The attractiveness of assets is practically tightly related to their value obeying the offer and demand ...
    • A Cost-Effective Immersive Telexistence Platform for Generic Telemanipulation Tasks 

      Al-Remaihi, R.; Al-Raeesi, A.; Al-Kubaisi, R.; Al-Sada, M.; Nakajima, T.; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2021 , Conference Paper)
      Robots are expected to become an essential part in tackling the global corona virus pandemic. However, acquiring robotic technology in economically-challenged nations is very difficult for a variety of factors. This work ...
    • A Haptic Handwriting Device in MOALEM Platform for Arabic Vocabulary Learning 

      Al-Maadeed, Somaya; Khalifa, B.; Saleh, M.; Abou El-Seoud, S.; AlJa'am J. ( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)
      Several research works have demonstrated the high importance of handwriting in a language acquisition. Learners prefer to use the traditional method of writing with a pen and pencil to strengthen the understanding of the ...
    • A hybrid DNN-LSTM model for detecting phishing URLs 

      Ozcan, Alper; Catal, Cagatay; Donmez, Emrah; Senturk, Behcet ( Springer Science and Business Media Deutschland GmbH , 2021 , Article)
      Phishing is an attack targeting to imitate the official websites of corporations such as banks, e-commerce, financial institutions, and governmental institutions. Phishing websites aim to access and retrieve users' important ...
    • A Review of Contract Entity Extraction 

      Aejas, Bajeela; Bouras, Abdelaziz; Belhi, Abdelhak; Gasmi, Houssem ( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)
      A contract is a binding document between two or more parties for executing any kind of activities that are defined clearly in its clauses. The parties who are assigned specific roles and rights must review and act accordingly ...
    • An active learning method for diabetic retinopathy classification with uncertainty quantification 

      Ahsan, Muhammad Ahtazaz; Qayyum, Adnan; Razi, Adeel; Qadir, Junaid ( Springer Science and Business Media Deutschland GmbH , 2022 , Article)
      In recent years, deep learning (DL) techniques have provided state-of-the-art performance in medical imaging. However, good quality (annotated) medical data is in general hard to find due to the usually high cost of medical ...
    • An Experience of Using a Handwriting Haptic Device to Fine-Tune the Children Motor Skills 

      Zakraoui, Jezia; Al Maadeed, Sumaya; Abou El-Seoud, Samir; Saleh, Moutaz; Al Ja'am, Jihad ( Springer Science and Business Media Deutschland GmbH , 2023 , Conference Paper)
      Handwriting can help children to improve their learning of a language and fine-tune their motor skills. Every child needs to develop her/his handwriting skill to grasp new concepts appropriately and learn the language ...
    • Anomaly Detection in Blockchain-Enabled Supply Chain: An Ontological Approach 

      Abu Musa, Tahani; Bouras, Abdelaziz ( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)
      In our work, we propose an anomaly detection framework, for detecting anomalous transactions in business processes from transaction event logs. Such a framework will help enhance the accuracy of anomaly detection in the ...
    • Anomaly Detection: A Survey 

      Abu Musa, Tahani Hussein; Bouras, Abdelaziz ( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)
      Anomaly detection (AD) is considered one of the important research areas that have a diverse range of application domains. Some of the anomaly detection techniques presented in the literature were specifically implemented ...
    • Applications of deep learning for mobile malware detection: A systematic literature review 

      Catal, Cagatay; Giray, Görkem; Tekinerdogan, Bedir ( Springer Science and Business Media Deutschland GmbH , 2022 , Article Review)
      For detecting and resolving the various types of malware, novel techniques are proposed, among which deep learning algorithms play a crucial role. Although there has been a lot of research on the development of DL-based ...
    • Applications of deep learning for phishing detection: a systematic literature review 

      Catal, Cagatay; Giray, Görkem; Tekinerdogan, Bedir; Kumar, Sandeep; Shukla, Suyash ( Springer Science and Business Media Deutschland GmbH , 2022 , Article)
      Phishing attacks aim to steal confidential information using sophisticated methods, techniques, and tools such as phishing through content injection, social engineering, online social networks, and mobile applications. To ...
    • Arabic named entity recognition-a survey and analysis 

      Dandashi, Amal; Al Jaam, Jihad; Foufou, Sebti ( Springer Science and Business Media Deutschland GmbH , 2016 , Conference Paper)
      As Arabic digital data has been increasing in abundance; the need for processing this information is growing. Named entity recognition (NER) is an information extraction technique that is vital to the processes of natural ...
    • Attention-Based Model for Accurate Stance Detection 

      Hamad, Omama; Hamdi, Ali; Shaban, Khaled ( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)
      Effective representation learning is an essential building block for achieving many natural language processing tasks such as stance detection as performed implicitly by humans. Stance detection can assist in understanding ...
    • Autonomous vehicle sunshade using aluminum panels 

      Bin Abul Kashem, Saad; Shahid, Fawad; Qidwai, Uvais; Suresh, P.; Ahmed, Jubaer; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2021 , Conference Paper)
      The heat build-up inside of a vehicle cabin due to the direct composure of thermal energy when parked outside during the day can be a huge dilemma, the intensity of the problem can be decreased by covering the windows of ...
    • Blockchain-Based Access Control for Secure Smart Industry Management Systems 

      Kalapaaking, Aditya Pribadi; Khalil, Ibrahim; Rahman, Mohammad Saidur; Bouras, Abdelaziz ( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)
      Smart manufacturing systems involve a large number of interconnected devices resulting in massive data generation. Cloud computing technology has recently gained increasing attention in smart manufacturing systems for ...
    • Blockchain-Based Manufacturing Supply Chain Management Using HyperLedger Fabric 

      Gasmi, Houssem; Belhi, Abdelhak; Hammi, Assam; Bouras, Abdelaziz; Aouni, Belaid; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)
      Production of goods has reached record numbers in the last decades as it became more efficient and effective than ever before due to the automation and digitalization of the production process. This gave customers more ...
    • Blockchains: A Conceptual Assessment from a Product Lifecycle Implementation Perspective 

      Belhi, Abdelhak; Bouras, Abdelaziz; Patel, Masood Khan; Aouni, Belaid ( Springer Science and Business Media Deutschland GmbH , 2020 , Conference Paper)
      PLM systems are heavily distributed collaborative platforms resulting in multiple challenges related to the integrity and reliability of the exchanged information. Such issues are usually difficult to address using traditional ...
    • C-SAR: Class-Specific and Adaptive Recognition for Arabic Handwritten Cheques 

      Hamdi, Ali; Al-Nuzaili, Qais; Ghaleb, Fuad A.; Shaban, Khaled ( Springer Science and Business Media Deutschland GmbH , 2022 , Book chapter)
      We propose C-SAR, a Class-specific and Adaptive Recognition algorithm for Arabic handwritten Cheques. Existing methods suffer from low accuracy due to the complex structure of Arabic script and high-dimensional datasets. ...
    • Dairy Cow Rumination Detection: A Deep Learning Approach 

      Ayadi, Safa; Ben Said, Ahmed; Jabbar, Rateb; Aloulou, Chafik; Chabbouh, Achraf; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2020 , Conference Paper)
      Cattle activity is an essential index for monitoring health and welfare of the ruminants. Thus, changes in the livestock behavior are a critical indicator for early detection and prevention of several diseases. Rumination ...