Search Results - "Buhari, Seyed M."

Refine Results
  1. 1

    Navigating Virtual Environments Using Leg Poses and Smartphone Sensors by Tsaramirsis, Georgios, Buhari, Seyed M, Basheri, Mohammed, Stojmenovic, Milos

    Published in Sensors (Basel, Switzerland) (13-01-2019)
    “…Realization of navigation in virtual environments remains a challenge as it involves complex operating conditions. Decomposition of such complexity is…”
    Get full text
    Journal Article
  2. 2

    Federated Learning-Based Security Attack Detection for Multi-Controller Software-Defined Networks by Alkhamisi, Abrar, Katib, Iyad, Buhari, Seyed M.

    Published in Algorithms (01-07-2024)
    “…A revolutionary concept of Multi-controller Software-Defined Networking (MC-SDN) is a promising structure for pursuing an evolving complex and expansive…”
    Get full text
    Journal Article
  3. 3

    HLMCC: A Hybrid Learning Anomaly Detection Model for Unlabeled Data in Internet of Things by Alghanmi, Nusaybah, Alotaibi, Reem, Buhari, Seyed M

    Published in IEEE access (2019)
    “…The Internet of Things (IoT) is a network of distributed devices or sensors connected through the internet to allow gathering and sharing of data. The data…”
    Get full text
    Journal Article
  4. 4

    Aroma Release of Olfactory Displays Based on Audio-Visual Content by Alraddadi, Safaa, Alqurashi, Fahad, Tsaramirsis, Georgios, Al Luhaybi, Amany, M. Buhari, Seyed

    Published in Applied sciences (14-11-2019)
    “…Variant approaches used to release scents in most recent olfactory displays rely on time for decision making. The applicability of such an approach is…”
    Get full text
    Journal Article
  5. 5

    Automatic Association of Scents Based on Visual Content by Amany Al Luhaybi, Alqurashi, Fahad, Tsaramirsis, Georgios, Buhari, Seyed M

    Published in Applied sciences (01-04-2019)
    “…Although olfaction can enhance the user’s experience in virtual environments, the approach is not widely utilized by virtual contents. This is because the…”
    Get full text
    Journal Article
  6. 6

    SPL Features Quantification and Selection Based on Multiple Multi-Level Objectives by Khan, Fazal Qudus, Musa, Shahrulniza, Tsaramirsis, Georgios, Buhari, Seyed M.

    Published in Applied sciences (01-06-2019)
    “…Software Product Lines (SPLs) can aid modern ecosystems by rapidly developing large-scale software applications. SPLs produce new software products by…”
    Get full text
    Journal Article
  7. 7

    Water Desalination Fault Detection Using Machine Learning Approaches: A Comparative Study by Derbali, Morched, Buhari, Seyed M., Tsaramirsis, Georgios, Stojmenovic, Milos, Jerbi, H., Abdelkrim, M. N., Al-Beirutty, Mohammad H.

    Published in IEEE access (01-01-2017)
    “…The presence of faulty valves has been studied in the literature with various machine learning approaches. The impact of using fault data only to train the…”
    Get full text
    Journal Article
  8. 8

    Grid Resource Allocation with Genetic Algorithm Using Population Based on Multisets by Ezugwu Absalom E., Okoroafor Nneoma A., Buhari Seyed M., Frincu Marc E., Junaidu Sahalu B.

    Published in Journal of intelligent systems (01-01-2017)
    “…The operational efficacy of the grid computing system depends mainly on the proper management of grid resources to carry out the various jobs that users send…”
    Get full text
    Journal Article
  9. 9

    Blockchain -Assisted Hybrid Deep Learning-Based Secure Mechanism for Software Defined Networks by Alkhamisi, Abrar, Katib, Iyad, Buhari, Seyed M

    “…Software Defined Network (SDN) has emerged as an autonomous concept for dynamic management and network configuration. Blockchain technology has the potential…”
    Get full text
    Conference Proceeding
  10. 10

    DroidRista: a highly precise static data flow analysis framework for android applications by Alzaidi, Areej, Alshehri, Suhair, Buhari, Seyed M.

    “…The Android operating system dominates the smartphone market. Thus, to service the market, the number of Android applications has risen dramatically. These…”
    Get full text
    Journal Article
  11. 11

    A supervised learning approach for the influence of comorbidities in the analysis of COVID-19 mortality in Tamil Nadu by Koteeswaran, S, Suganya, R, Surianarayanan, Chellammal, Neeba, E A, Suresh, A, Chelliah, Pethuru Raj, Buhari, Seyed M

    Published in Soft computing (Berlin, Germany) (03-06-2023)
    “…COVID-19 has created many complications in today's world. It has negatively impacted the lives of many people and emphasized the need for a better health…”
    Get full text
    Journal Article
  12. 12

    An auction-based resource allocation in Cloud Radio Access Network (C-RAN) by AL KHUZAIM, Samaher, KHAIRULLAH, Enas F., BUHARI, Seyed M.

    “…Cloud-based radio access networks (C-RANs) are an emerging technology for 5G cellular networks. The increasing demand for radio resources causes many…”
    Get full text
    Journal Article
  13. 13

    Trusted Secure Adhoc On-demand Multipath Distance Vector Routing in MANET by Alkhamisi, Abrar Omar, Buhari, Seyed M.

    “…A mobile ad hoc network (MANET) is a collectionof wireless nodes, which works well only if those mobile nodes aregood and behave cooperatively. The lack of…”
    Get full text
    Conference Proceeding Journal Article
  14. 14

    A Study of Faculty Retention Factors in Educational Institutes in Context With ABET by Khan, Fazal Qudus, Buhari, Seyed M., Tsaramirsis, Georgios, Rasheed, Saim

    Published in Frontiers in education (Lausanne) (09-12-2021)
    “…A typical higher education institute classically has all the five major constituents, i.e. current students, alumni, faculty members, employers and industrial…”
    Get full text
    Journal Article
  15. 15

    A validation of security determinants model for cloud adoption in Saudi organisations’ context by Alassafi, Madini O., Atlam, Hany F., Alshdadi, Abdulrahman A., Alzahrani, Abdullah I., AlGhamdi, Rayed A., Buhari, Seyed M.

    “…Governments across the world are starting to make a dynamic shift to cloud computing so as to increase efficiency. Although, the cloud technology brings…”
    Get full text
    Journal Article
  16. 16

    Neural network‐based multi‐agent approach for scheduling in distributed systems by Ezugwu, Absalom E., Frincu, Marc E., Adewumi, Aderemi O., Buhari, Seyed M., Junaidu, Sahalu B.

    Published in Concurrency and computation (10-01-2017)
    “…Summary A distributed system consists of a collection of autonomous heterogeneous resources that provide resource sharing and a common platform for running…”
    Get full text
    Journal Article
  17. 17

    Scheduling multi-component applications with mobile agents in heterogeneous distributed systems by Ezugwu, Absalom E., Junaidu, Sahalu B., Frincu, Marc E., Buhari, Seyed M., Obiniyi, Afolayan A.

    Published in Concurrency and computation (10-04-2016)
    “…Summary In grid computing environment, several classes of multi‐component applications exist. These types of applications may often require additional…”
    Get full text
    Journal Article
  18. 18

    Minimizing signaling cost in green routing for software defined networks by Alizadeh, Hadi, Gozupek, Didem, Buhari, Seyed M., Yayimli, Aysegul

    “…Research studies show that energy consumption in communication networks is mainly related to active network elements such as communication links. Based on this…”
    Get full text
    Conference Proceeding
  19. 19

    TCMD: A Two-Tier Classification Model for Anomaly-Based Detection in IoT by Alghanmi, Nusaybah, Alotaibi, Reem, Buhari, Seyed M

    “…The Internet of Things (IoT) is a new technology paradigm that refers to distributed physical devices that are connected to the Internet. The large amount of…”
    Get full text
    Conference Proceeding
  20. 20

    Machine Learning Approaches for Anomaly Detection in IoT: An Overview and Future Research Directions by Alghanmi, Nusaybah, Alotaibi, Reem, Buhari, Seyed M.

    Published in Wireless personal communications (01-02-2022)
    “…The internet of things (IoT) is the networking of interrelated devices and sensors connected through the internet to transfer and share data. The data gathered…”
    Get full text
    Journal Article