Abdul Khader Jilani Saudagar

Orcid: 0000-0003-4205-3621

According to our database1, Abdul Khader Jilani Saudagar authored at least 30 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Cloth-Changing Person Re-Identification With Invariant Feature Parsing for UAVs Applications.
IEEE Trans. Veh. Technol., September, 2024

Enhanced Medical Education for Physically Disabled People through Integration of IoT and Digital Twin Technologies.
Syst., September, 2024

Person Re-identification with Spatial Multi-granularity Feature Exploration for Social Risk Situational Assessment.
Cogn. Comput., September, 2024

Vision-Enabled Large Language and Deep Learning Models for Image-Based Emotion Recognition.
Cogn. Comput., September, 2024

Solving the Generalized Traveling Salesman Problem Using Sequential Constructive Crossover Operator in Genetic Algorithm.
Comput. Syst. Sci. Eng., 2024

2023
Efficient Contrast Adjustment and Fusion Method for Underexposed Images in Industrial Cyber-Physical Systems.
IEEE Syst. J., December, 2023

Context-aggregator: An approach of loss- and class imbalance-aware aggregation in federated learning.
Comput. Biol. Medicine, September, 2023

Student behavior recognition for interaction detection in the classroom environment.
Image Vis. Comput., August, 2023

Symmetry in Privacy-Based Healthcare: A Review of Skin Cancer Detection and Classification Using Federated Learning.
Symmetry, July, 2023

COVIDPRO-NET: a prognostic tool to detect COVID 19 patients from lung X-ray and CT images using transfer learning and Q-deformed entropy.
J. Exp. Theor. Artif. Intell., May, 2023

A Hybrid AES with a Chaotic Map-Based Biometric Authentication Framework for IoT and Industry 4.0.
Syst., 2023

2022
Toward Realigning Automatic Speaker Verification in the Era of COVID-19.
Sensors, 2022

Neuro-fuzzy image compression using differential pulse code modulation and probabilistic decision making.
Multim. Tools Appl., 2022

Customized Curriculum and Learning Approach Recommendation Techniques in Application of Virtual Reality in Medical Education.
J. Univers. Comput. Sci., 2022

AI-Enabled Energy-Efficient Fog Computing for Internet of Vehicles.
J. Sensors, 2022

Improvement of Automatic Glioma Brain Tumor Detection Using Deep Convolutional Neural Networks.
J. Comput. Biol., 2022

Predicting and Classifying Breast Cancer Using Machine Learning.
J. Comput. Biol., 2022

Performance Analysis of Machine Learning Algorithms for Classifying Hand Motion-Based EEG Brain Signals.
Comput. Syst. Sci. Eng., 2022

2021
Machine learning approach for threat detection on social media posts containing Arabic text.
Evol. Intell., 2021

An optimal cascaded recurrent neural network for intelligent COVID-19 detection using Chest X-ray images.
Appl. Soft Comput., 2021

Early Identification and Detection of Driver Drowsiness by Hybrid Machine Learning.
IEEE Access, 2021

2020
Drivers and challenges of applying green computing for sustainable agriculture: A case study.
Sustain. Comput. Informatics Syst., 2020

Biomedical Image Compression Techniques for Clinical Image Processing.
Int. J. Online Biomed. Eng., 2020

Recognition of flowers using convolutional neural networks.
Int. J. Intell. Eng. Informatics, 2020

2018
Arabic character extraction and recognition using traversing approach.
Int. Arab J. Inf. Technol., 2018

Current Status and Prospects for E-learning Management in the Promotion of Distance Education in Saudi Arabia.
Proceedings of the 2018 2nd International Conference on Education and E-Learning, 2018

2017
Evaluation of English to Arabic Machine Translation Systems using BLEU and GTM.
Proceedings of the 9th International Conference on Education Technology and Computers, 2017

2014
Image compression approach with ridgelet transformation using modified neuro modeling for biomedical images.
Neural Comput. Appl., 2014

A Comparative Study of Video Splitting Techniques.
Proceedings of the Progress in Systems Engineering, 2014

A Case Study of Evaluation Factors for Biomedical Images Using Neural Networks.
Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014, 2014


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