Browsing Computer Science & Engineering by Publisher "Springer"

Now showing items 21-40 of 59

    • Augmented reality flavor: cross-modal mapping across gustation, olfaction, and vision 

      Halabi, O.; Saleh, M. ( Springer , 2021 , Article)
      Gustatory display research is still in its infancy despite being one of the essential everyday senses that human practice while eating and drinking. Indeed, the most important and frequent tasks that our brain deals with ...

    • CamNav: a computer-vision indoor navigation system 

      Karkar A.G.; Al-Maadeed, Somaya; Kunhoth J.; Bouridane A. ( Springer , 2021 , Article)
      We present CamNav, a vision-based navigation system that provides users with indoor navigation services. CamNav captures images in real time while the user is walking to recognize their current location. It does not require ...

    • Canny edge detection and Hough transform for high resolution video streams using Hadoop and Spark 

      Iqbal, Bilal; Iqbal, Waheed; Khan, Nazar; Mahmood, Arif; Erradi, Abdelkarim ( Springer , 2020 , Article)
      Nowadays, video cameras are increasingly used for surveillance, monitoring, and activity recording. These cameras generate high resolution image and video data at large scale. Processing such large scale video streams to ...

    • CheckThat! at CLEF 2020: Enabling the automatic identification and verification of claims in social media 

      Barrón-Cedeño, Alberto; Elsayed, Tamer; Nakov, Preslav; Da San Martino, Giovanni; Hasanain, Maram; ... more authors ( Springer , 2020 , Conference Paper)
      We describe the third edition of the CheckThat! Lab, which is part of the 2020 Cross-Language Evaluation Forum (CLEF). CheckThat! proposes four complementary tasks and a related task from previous lab editions, offered in ...

    • Correction to: Multilayered-quality education ecosystem (MQEE): an intelligent education modal for sustainable quality education 

      Verma, Anil; Singh, Aman; Lughofer, Edwin; Cheng, Xiaochun; Abualsaud, Khalid ( Springer , 2021 , Other)
      The original version of this article unfortunately contained an error and it has been corrected with this erratum. The Acknowledgements section was missing from this article and should have read "The third author acknowledges ...

    • Design and Performance Evaluation of a Committee Machine for Gas Identification 

      Akbar M.A.; Djelouat H.; Ait Si Ali A.; Amira A.; Bensaali F.; ... more authors ( Springer , 2018 , Book chapter)
      Selecting the best classifier plays a significant role in the current electronic nose systems that can be deployed for gas applications. For this purpose, this paper presents an empirical study on the performance of three ...

    • Detecting anomalies within smart buildings using do-it-yourself internet of things 

      Majib, Yasar; Barhamgi, Mahmoud; Heravi, Behzad Momahed; Kariyawasam, Sharadha; Perera, Charith ( Springer , 2022 , Article)
      Detecting anomalies at the time of happening is vital in environments like buildings and homes to identify potential cyber-attacks. This paper discussed the various mechanisms to detect anomalies as soon as they occur. We ...

    • Fault and performance management in multi-cloud based NFV using shallow and deep predictive structures 

      Gupta, Lav; Samaka, M.; Jain, Raj; Erbad, Aiman; Bhamare, Deval; ... more authors ( Springer , 2017 , Article)
      Deployment of network function virtualization (NFV) over multiple clouds accentuates its advantages such as flexibility of virtualization, proximity to customers and lower total cost of operation. However, NFV over multiple ...

    • Folksonomy link prediction based on a tripartite graph for tag recommendation 

      Rawashdeh, Majdi; Kim, Heung-Nam; Alja'am, Jihad Mohamad; El Saddik, Abdulmotaleb ( Springer , 2013 , Article)
      Nowadays social tagging has become a popular way to annotate, search, navigate and discover online resources, in turn leading to the sheer amount of user-generated metadata. This paper addresses the problem of recommending ...

    • Gait recognition for person re-identification 

      Elharrouss O.; Almaadeed N.; Al-Maadeed, Somaya; Bouridane A. ( Springer , 2021 , Article)
      Person re-identification across multiple cameras is an essential task in computer vision applications, particularly tracking the same person in different scenes. Gait recognition, which is the recognition based on the ...

    • High-Precision Nonenzymatic Electrochemical Glucose Sensing Based on CNTs/CuO Nanocomposite 

      Geetha, Mithra; Maurya, Muni Raj; Al-maadeed, Somaya; Muthalif, Asan Abdul; Sadasivuni, Kishor Kumar ( Springer , 2022 , Article)
      The measurement of blood glucose levels is essential for diagnosing and managing diabetes. Enzymatic and nonenzymatic approaches using electrochemical biosensors are used to measure serum or plasma glucose accurately. ...

    • How can big data and predictive analytics impact the performance and competitive advantage of the food waste and recycling industry? 

      Nilashi, Mehrbakhsh; Baabdullah, Abdullah M.; Abumalloh, Rabab Ali; Ooi, Keng Boon; Tan, Garry Wei Han; ... more authors ( Springer , 2023 , Article)
      Big data and predictive analytics (BDPA) techniques have been deployed in several areas of research to enhance individuals’ quality of living and business performance. The emergence of big data has made recycling and waste ...

    • Image Generation: A Review 

      Elasri, Mohamed; Elharrouss, Omar; Al-Maadeed, Somaya; Tairi, Hamid ( Springer , 2022 , Article Review)
      The creation of an image from another and from different types of data including text, scene graph, and object layout, is one of the very challenging tasks in computer vision. In addition, capturing images from different ...

    • Image Inpainting: A Review 

      Elharrouss, Omar; Almaadeed, Noor; Al-Maadeed, Somaya; Akbari, Younes ( Springer , 2019 , Article)
      Although image inpainting, or the art of repairing the old and deteriorated images, has been around for many years, it has recently gained even more popularity, because of the recent development in image processing techniques. ...

    • Immersive virtual reality to enforce teaching in engineering education 

      Halabi, Osama ( Springer , 2019 , Article)
      Prior studies on the use of digital prototyping and virtual reality (VR) in designing as well as evaluating new products have shown that VR reduces both development time and costs whilst augmenting student motivation and ...

    • Improving Arabic Microblog Retrieval with Distributed Representations 

      Alshalan, Shahad; Alshalan, Raghad; Al-Khalifa, Hend; Suwaileh, Reem; Elsayed, Tamer ( Springer , 2020 , Conference Paper)
      Query expansion (QE) using pseudo relevance feedback (PRF) is one of the approaches that has been shown to be effective for improving microblog retrieval. In this paper, we investigate the performance of three different ...

    • Improving text-to-image generation with object layout guidance 

      Zakraoui J.; Saleh M.; Al-Maadeed, Somaya; Jaam J.M. ( Springer , 2021 , Article)
      The automatic generation of realistic images directly from a story text is a very challenging problem, as it cannot be addressed using a single image generation approach due mainly to the semantic complexity of the story ...

    • Indoor positioning and wayfinding systems: a survey 

      Kunhoth J.; Karkar A.G.; Al-Maadeed, Somaya; Al-Ali A. ( Springer , 2020 , Article)
      Navigation systems help users access unfamiliar environments. Current technological advancements enable users to encapsulate these systems in handheld devices, which effectively increases the popularity of navigation systems ...

    • Infrared Versus Visible Image Matching for Multispectral Face Recognition 

      Syed W.W.; Al-Maadeed, Somaya ( Springer , 2020 , Conference Paper)
      Multispectral face recognition has been an interesting area of research where images obtained from different bands are matched. There are many face image datasets available which contain infrared and visible images. In ...

    • Machine Learning and Digital Heritage: The CEPROQHA Project Perspective 

      Belhi, Abdelhak; Gasmi, Houssem; Bouras, Abdelaziz; Alfaqheri, Taha; Aondoakaa, Akuha Solomon; ... more authors ( Springer , 2020 , Conference Paper)
      Through this paper, we aim at investigating the impact of artificial intelligence technologies on cultural heritage promotion and long-term preservation in terms of digitization effectiveness, attractiveness of the assets, ...