IoV Cyber Defense: Advancing DDoS Attack Detection with Gini Index in Tree Models

Authors: Dilshad, Muhammad, Almas, Bushra, Tariq, Noshina, Jazri, Husin Bin, Alwakid, Ghadah Naif, Khan, Jan Sher, Kumar, Pranav, Kumar, Rahul

Source: 2024 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC) Emerging Trends in Networks and Computer Communications (ETNCC), 2024 International Conference on. :1-8 Jul, 2024

Relation: 2024 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC)

Intelli-farm: IoT based Smart farming using Machine learning approaches

Authors: Tahir, Sidra, Hafeez, Yaser, Qamar, Farkhanda, Alwakid, Ghadah Naif

Source: 2023 International Conference on Business Analytics for Technology and Security (ICBATS) Business Analytics for Technology and Security (ICBATS), 2023 International Conference on. :1-6 Mar, 2023

Relation: 2023 International Conference on Business Analytics for Technology and Security (ICBATS)

Detection of Facial Forgery in Digital Images

Authors: Khan, Haider Ali, Tehsin, Samabia, Humayun, Mamoona, Alwakid, Ghadah Naif

Source: 2023 International Conference on Business Analytics for Technology and Security (ICBATS) Business Analytics for Technology and Security (ICBATS), 2023 International Conference on. :1-8 Mar, 2023

Relation: 2023 International Conference on Business Analytics for Technology and Security (ICBATS)

Prediction of Specific Language Impairment in Children using Cepstral Domain Coefficients

Authors: Safdar, Saima, Kausar, Sumaira, Tehsin, Samabia, Mahmood, Maria, Naif Alwakid, Ghadah

Source: 2023 International Conference on Business Analytics for Technology and Security (ICBATS) Business Analytics for Technology and Security (ICBATS), 2023 International Conference on. :1-11 Mar, 2023

Relation: 2023 International Conference on Business Analytics for Technology and Security (ICBATS)

Hybrid security scheme for a colored image using DNA and chaotic map

Authors: Ajaz, Tayyaba, Ashraf, Humaira, Alwakid, Ghadah

Source: 2022 14th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS) Mathematics, Actuarial Science, Computer Science and Statistics (MACS), 2022 14th International Conference on. :1-5 Nov, 2022

Relation: 2022 14th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS)

Towards Improved Saudi Dialectal Arabic Stemming

Authors: Alwakid, Ghadah, Osman, Taha, Hughes-Roberts, Thomas

Source: 2019 International Conference on Computer and Information Sciences (ICCIS) Computer and Information Sciences (ICCIS), 2019 International Conference on. :1-5 Apr, 2019

Relation: 2019 International Conference on Computer and Information Sciences (ICCIS)

Optimized machine learning framework for cardiovascular disease diagnosis: a novel ethical perspective.

Authors: Alwakid, Ghadah, Ul Haq, Farman, Tariq, Noshina, Humayun, Mamoona, Shaheen, Momina, Alsadun, Marwa

Source: BMC Cardiovascular Disorders; 2/20/2025, Vol. 25 Issue 1, p1-28, 28p

Subject Terms: ARTIFICIAL intelligence, MACHINE learning, FEATURE selection, RANDOM forest algorithms, CARDIOVASCULAR disease diagnosis

Obfuscated Malware Detection and Classification in Network Traffic Leveraging Hybrid Large Language Models and Synthetic Data.

Authors: Naseer, Mehwish, Ullah, Farhan, Ijaz, Samia, Naeem, Hamad, Alsirhani, Amjad, Alwakid, Ghadah Naif, Alomari, Abdullah

Source: Sensors (14248220); Jan2025, Vol. 25 Issue 1, p202, 24p

Subject Terms: LANGUAGE models, GENERATIVE artificial intelligence, COMPUTER network traffic, DATA privacy, GENERATIVE pre-trained transformers

Enhancement of Diabetic Retinopathy Prognostication Using Deep Learning, CLAHE, and ESRGAN.

Authors: Alwakid, Ghadah¹ (AUTHOR) gnalwakid@ju.edu.sa, Gouda, Walaa² (AUTHOR) walaa.gouda@feng.bu.edu.eg, Humayun, Mamoona³ (AUTHOR) mahumayun@ju.edu.sa

Source: Diagnostics (2075-4418). Jul2023, Vol. 13 Issue 14, p2375. 23p.

Subject Terms: *DEEP learning, *DIABETIC retinopathy, *GENERATIVE adversarial networks, *SPEECH processing systems

Diagnosing Melanomas in Dermoscopy Images Using Deep Learning.

Authors: Alwakid, Ghadah¹ (AUTHOR) gnalwakid@ju.edu.sa, Gouda, Walaa² (AUTHOR) walaa.gouda@feng.bu.edu.eg, Humayun, Mamoona³ (AUTHOR) mahumayun@ju.edu.sa, Jhanjhi, N. Z⁴ (AUTHOR) noorzaman.jhanjhi@taylors.edu.my

Source: Diagnostics (2075-4418). May2023, Vol. 13 Issue 10, p1815. 15p.

Subject Terms: *DEEP learning, *COMPUTER vision, *ARTIFICIAL intelligence, *DERMOSCOPY, *SKIN cancer, *MELANOMA

Towards Improving the Quality of Requirement and Testing Process in Agile Software Development: An Empirical Study.

Authors: Ilays, Irum, Hafeez, Yaser, Almashfi, Nabil, Ali, Sadia, Humayun, Mamoona, Aqib, Muhammad, Alwakid, Ghadah

Source: Computers, Materials & Continua; 2024, Vol. 80 Issue 3, p3761-3784, 24p

Subject Terms: CASE-based reasoning, APRIORI algorithm, REQUIREMENTS engineering, SATISFACTION, RESEARCH personnel, AGILE software development, COMPUTER software testing

MULDASA: Multifactor Lexical Sentiment Analysis of Social-Media Content in Nonstandard Arabic Social Media.

Authors: Alwakid, Ghadah¹, gnalwakid@ju.edu.sa, Osman, Taha², taha.osman@ntu.ac.uk, Haj, Mahmoud El³, m.el-haj@lancaster.ac.uk, Alanazi, Saad¹, sanazi@ju.edu.sa, Humayun, Mamoona⁴, mahumayun@ju.edu.sa, Sama, Najm Us⁵, najmussama@gmail.com

Source: Applied Sciences (2076-3417); Apr2022, Vol. 12 Issue 8, p3806, 18p

Transformative synergy: SSEHCET—bridging mobile edge computing and AI for enhanced eHealth security and efficiency.

Authors: Humayun, Mamoona¹, mahumayun@ju.edu.sa, Alsirhani, Amjad², Alserhani, Faeiz³, Shaheen, Momina⁴, Alwakid, Ghadah²

Source: Journal of Cloud Computing (2192-113X); 2/8/2024, Vol. 13 Issue 1, p1-21, 21p

Intrusion detection in smart grids using artificial intelligence-based ensemble modelling.

Authors: Alsirhani, Amjad¹, amjadalsirhani@ju.edu.sa, Tariq, Noshina², noshina.tariq@isb.nu.edu.pk, Humayun, Mamoona³, mamoona.humayun@roehampton.ac.uk, Naif Alwakid, Ghadah¹, gnalwakid@ju.edu.sa, Sanaullah, Hassan⁴, 200640@students.au.edu.pk

Source: Cluster Computing; Aug2025, Vol. 28 Issue 4, p1-22, 22p

Challenges in Sentiment Analysis for Arabic Social Networks

Authors: Alwakid, Ghadah, Osman, Taha, Hughes-Roberts, Thomas

Source: Procedia computer science. 117:89-100

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100085633181.0x000001&indx=1&recIds=ETOCvdc_100085633181.0x000001

Deep learning-enhanced diabetic retinopathy image classification.

Authors: Alwakid, Ghadah, Gouda, Walaa, Humayun, Mamoona, Jhanjhi, Noor Zaman

Source: Digital Health; 8/13/2023, p1-15, 15p

Deep Learning-Based Prediction of Diabetic Retinopathy Using CLAHE and ESRGAN for Enhancement.

Authors: Alwakid, Ghadah, Gouda, Walaa, Humayun, Mamoona

Source: Healthcare (2227-9032); Mar2023, Vol. 11 Issue 6, p863, 17p

Subject Terms: DEEP learning, COMPUTER simulation, DIAGNOSTIC imaging, TREATMENT effectiveness, FORECASTING, DESCRIPTIVE statistics, RESEARCH funding, DIABETIC retinopathy, OPHTHALMOLOGY, ALGORITHMS, EVALUATION

Enhancing diabetic retinopathy classification using deep learning.

Authors: Alwakid, Ghadah, Gouda, Walaa, Humayun, Mamoona, Jhanjhi, N. Z.

Source: Digital Health; Jan-Dec2023, Vol. 9, p1-18, 18p

Melanoma Detection Using Deep Learning-Based Classifications.

Authors: Alwakid, Ghadah, Gouda, Walaa, Humayun, Mamoona, Sama, Najm Us

Source: Healthcare (2227-9032); Dec2022, Vol. 10 Issue 12, p2481, 18p

Subject Terms: MELANOMA diagnosis, DEEP learning, ACCURACY, MACHINE learning, SKIN tumors, AUTOMATION, RESEARCH funding, ALGORITHMS

Superlative Feature Selection Based Image Classification Using Deep Learning in Medical Imaging.

Authors: Humayun, Mamoona, Khalil, Muhammad Ibrahim, Alwakid, Ghadah, Jhanjhi, N. Z.

Source: Journal of Healthcare Engineering; 9/26/2022, p1-11, 11p

Subject Terms: COMPUTER-assisted image analysis (Medicine), FEATURE selection, DIAGNOSTIC imaging, FEATURE extraction, DEEP learning, IMAGE recognition (Computer vision)