Iftikhar Ahmad

Orcid: 0000-0003-3719-2387

Affiliations:
  • King Abdulaziz University, Faculty of Computing and Information Technology, Jeddah, Saudi Arabia
  • Universiti Teknologi PETRONAS, Malaysia (PhD 2011)


According to our database1, Iftikhar Ahmad authored at least 31 papers between 2018 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Optimized gene selection and classification of cancer from microarray gene expression data using deep learning.
Neural Comput. Appl., December, 2025

Adaptive Federated Learning Framework for Privacy-Preserving Consumer-Centric IoMT: A Novel Secure Data Collaboration Model.
IEEE Trans. Consumer Electron., November, 2025

Sales forecasting for retail stores using hybrid neural networks and sales-affecting variables.
PeerJ Comput. Sci., 2025

AI-enhanced intrusion detection in smart renewable energy grids: A novel industry 4.0 cyber threat management approach.
Int. J. Crit. Infrastructure Prot., 2025

YOLOCSP-PEST for Crops Pest Localization and Classification.
Comput. Mater. Continua, 2025

Transforming Brain Tumor Detection Empowering Multi-Class Classification With Vision Transformers and EfficientNetV2.
IEEE Access, 2025

2024
An Efficient Deep Learning Framework for Optimized Event Forecasting.
Inf., 2024

Malware Classification Using Few-Shot Learning Approach.
Inf., 2024

A Bee Colony-Based Optimized Searching Mechanism in the Internet of Things.
Future Internet, 2024

2022
Intrusion Detection in IoT Using Deep Learning.
Sensors, 2022

Beyond traditional approaches: a partial directed coherence with graph theory-based mental load assessment using EEG modality.
Neural Comput. Appl., 2022

Urdu signboard detection and recognition using deep learning.
Multim. Tools Appl., 2022

GreenCloudNet++: Simulation framework for energy efficient and secure, green job scheduling in geographically distributed data centers.
Trans. Emerg. Telecommun. Technol., 2022

2021
Detection and Recognition of Vehicle's Headlights Types for Surveillance Using Deep Neural Networks.
Proceedings of the Deep Learning for Unmanned Systems, 2021

Language Modeling and Text Generation Using Hybrid Recurrent Neural Network.
Proceedings of the Deep Learning for Unmanned Systems, 2021

Recent Advances of Deep Learning in Biology.
Proceedings of the Deep Learning for Unmanned Systems, 2021

Drug investigation tool: Identifying the effect of drug on cell image by using improved correlation.
Softw. Pract. Exp., 2021

INSWF DNA signal analysis tool: Intelligent noise suppression window filter.
Softw. Pract. Exp., 2021

Real-Time Surveillance Using Deep Learning.
Secur. Commun. Networks, 2021

Deep learning recognition of diseased and normal cell representation.
Trans. Emerg. Telecommun. Technol., 2021

Hybrid ant genetic algorithm for efficient task scheduling in cloud data centers.
Comput. Electr. Eng., 2021

Smart Home Automation Using Intelligent Electricity Dispatch.
IEEE Access, 2021

2020
Biological Data Classification and Analysis Using Convolutional Neural Network.
J. Medical Imaging Health Informatics, 2020

Object Detection and Fuzzy-Based Classification Using UAV Data.
Intell. Autom. Soft Comput., 2020

Towards a Low Complexity Scheme for Medical Images in Scalable Video Coding.
IEEE Access, 2020

Novel One Time Signatures (NOTS): A Compact Post-Quantum Digital Signature Scheme.
IEEE Access, 2020

Automatic Segmentation Using a Hybrid Dense Network Integrated With an 3D-Atrous Spatial Pyramid Pooling Module for Computed Tomography (CT) Imaging.
IEEE Access, 2020

A Deep Learning Model Based on Concatenation Approach for the Diagnosis of Brain Tumor.
IEEE Access, 2020

2019
Real-Time Surveillance Through Face Recognition Using HOG and Feedforward Neural Networks.
IEEE Access, 2019

Performance Analysis of Cryptographic Pseudorandom Number Generators.
IEEE Access, 2019

2018
Performance Comparison of Support Vector Machine, Random Forest, and Extreme Learning Machine for Intrusion Detection.
IEEE Access, 2018


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