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Ibrahim Alrashdi
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2020 – today
- 2025
- [j15]Muhammad Rashid Naeem, Muhammad Asghar Khan, Mansoor Khan, Omar Alruwaili, Ibrahim Alrashdi, Saad Awadh Alanazi:
Enhancing software quality assurance in ubiquitous learning environments through mutation testing and diverse test oracles. Comput. Hum. Behav. 163: 108493 (2025) - 2024
- [j14]Puneet Kumar
, Dalwinder Singh, Mamoona Humayun
Enhanced Community Detection via Convolutional Neural Network: A Modified Approach Based on MRFasGCN Algorithm. IEEE Access 12: 146733-146748 (2024) - [j13]Ibrahim Alrashdi
FIDWATCH: Federated incremental distillation for continuous monitoring of IoT security threats. Ad Hoc Networks 165: 103637 (2024) - [j12]Ibrahim Alrashdi
Fog-based deep learning framework for real-time pandemic screening in smart cities from multi-site tomographies. BMC Medical Imaging 24(1): 123 (2024) - [j11]Yousef Alhwaiti, Ibrahim Alrashdi
A computational deep learning approach for establishing long-term declarative episodic memory through one-shot learning. Comput. Hum. Behav. 156: 108213 (2024) - [j10]Mohamed Abdel-Basset, Reda Mohamed, Ibrahim Alrashdi
Evolution-based energy-efficient data collection system for UAV-supported IoT: Differential evolution with population size optimization mechanism. Expert Syst. Appl. 245: 123082 (2024) - [j9]Ibrahim Alrashdi, Karam M. Sallam
A contrastive learning approach for enhanced robustness for strengthening federated intelligence in internet of visual things. Internet Things 26: 101206 (2024) - [j8]Weiping Ding
DeepSecDrive: An explainable deep learning framework for real-time detection of cyberattack in in-vehicle networks. Inf. Sci. 658: 120057 (2024) - [j7]Weiping Ding
Next generation of computer vision for plant disease monitoring in precision agriculture: A contemporary survey, taxonomy, experiments, and future direction. Inf. Sci. 665: 120338 (2024) - [j6]Mohamed Abdel-Basset, Reda Mohamed, Ibrahim Alrashdi
CNN-IKOA: convolutional neural network with improved Kepler optimization algorithm for image segmentation: experimental validation and numerical exploration. J. Big Data 11(1): 13 (2024) - 2023
- [j5]Ali Alqazzaz, Mohammad Tabrez Quasim
A Deep Learning Model to Analyse Social-Cyber Psychological Problems in Youth. Comput. Syst. Sci. Eng. 46(1): 551-562 (2023) - [c8]Ibrahim Alrashdi, Md Altab Hossin, M. M. Kamruzzaman:
AI-Assisted Risk Management Systems in Healthcare Industries of Smart Cities. GLOBECOM (Workshops) 2023: 2113-2117 - [c7]Md Altab Hossin, M. M. Kamruzzaman, Ibrahim Alrashdi, Abdulaziz Marzouq Alsharari, Ayman Almjnoony:
Key Technologies, Applications, Trends of Visual Analysis and Prediction in Healthcare System. GLOBECOM (Workshops) 2023: 2118-2122 - 2022
- [j4]Muhammad Hameed Siddiqi
Edge Detection-Based Feature Extraction for the Systems of Activity Recognition. Comput. Intell. Neurosci. 2022: 8222388:1-8222388:11 (2022) - [c6]M. M. Kamruzzaman, Md Altab Hossin, Ibrahim Alrashdi:
Recent Advances and Challenges of Edge AI and IoT Assisted Covid-19 Alike Detection Systems. GLOBECOM (Workshops) 2022: 563-568 - 2021
- [j3]Ibrahim Alrashdi
Maximum Entropy Markov Model for Human Activity Recognition Using Depth Camera. IEEE Access 9: 160635-160645 (2021) - [j2]Yousef Alhwaiti
Diagnosis of COVID-19 Using a Deep Learning Model in Various Radiology Domains. Complex. 2021: 1296755:1-1296755:10 (2021) - 2020
- [j1]Raed Alharthi
Protecting Location Privacy for Crowd Workers in Spatial Crowdsourcing Using a Novel Dummy-Based Mechanism. IEEE Access 8: 114608-114622 (2020) - [c5]Esam Aloufi, Raed Alharthi
TASC: Efficient Task Assignment in Spatial Crowdsourcing with Workers Privacy Protection. EIT 2020: 546-550
2010 – 2019
- 2019
- [c4]Ibrahim Alrashdi
AD-IoT: Anomaly Detection of IoT Cyberattacks in Smart City Using Machine Learning. CCWC 2019: 305-310 - [c3]Raed Alharthi
DCentroid: Location Privacy-Preserving Scheme in Spatial Crowdsourcing. CCWC 2019: 715-720 - [c2]Ali Alqazzaz
A Practical Evaluation of a Secure and Energy-Efficient Smart Parking System Using the MQTT Protocol. ICISDM 2019: 165-170 - [c1]Ibrahim Alrashdi
FBAD: Fog-based Attack Detection for IoT Healthcare in Smart Cities. UEMCON 2019: 515-522
Coauthor Index
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last updated on 2024-12-05 21:39 CET by the dblp team
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