Deep learning-driven mobile crowd sensing for secure and efficient Hajj pilgrimage management

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of Mobile Communications
Published
2025-04-26
DOI
https://doi.org/10.1504/ijmc.2026.10070819
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Deep learning-driven mobile crowd sensing for secure and efficient Hajj pilgrimage management

Mohammed Naif Alatawi N.A.
International Journal of Mobile Communications
Human Mobility and Location-Based Analysis
article

Deep learning-driven mobile crowd sensing for secure and efficient Hajj pilgrimage management

Mohammed Naif Alatawi N.A.
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Mobile CommunicationsVol. 1(1)
Openalex Percentile: Top 91%
Human Mobility and Location-Based Analysis
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Deep learning-driven mobile crowd sensing for secure and efficient Hajj pilgrimage management — Mohammed Naif Alatawi N.A. · International Journal of Mobile Communications (2025) | TGRS Research Map | TGRS