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ORCIDEhab Seif Ghith
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2020 – today
- 2026
[j18]Umesh Kumar Lilhore
, Vanusha D., Srilatha Gundapaneni, Anto Lourdu Xavier Raj Arockia Selvarathinam, A. Rasmi, Sarita Simaiya, Lidia Gosy Tekeste, Ehab Seif Ghith, Heba G. Mohamed:
A Hybrid Deep Learning Framework for Early Detection of Ovarian Cancer Using Ultrasound and MRI Images on a Secure Cloud Platform. Complex. 2026(1) (2026)- [j17]Sarita Simaiya, Umesh Kumar Lilhore, Yogesh Kumar Sharma, Leela Prasad Gorrepati, Solleti Phani Kumar, Lidia Gosy Tekeste, Ehab Seif Ghith, Hanaa A. Abdallah:
A Hybrid Deep Learning Framework for High-Precision and Efficient Cervical Cancer Detection. IET Image Process. 20(1) (2026) - [j16]Navita Mehra, Pooja Mittal, Yogesh Kumar Sharma, Umesh Kumar Lilhore, Heba G. Mohamed, Ehab Seif Ghith, Lidia Gosy Tekeste:
Hybrid Model for Freezing of Gait Detection in Parkinson's Disease: Integrating Manual Features and Deep Learning. Int. J. Comput. Intell. Syst. 19(1): 38 (2026) - [j15]M. S. Sanaj, Mong-Fong Horng, S. Siva Shankar, Chun-Chih Lo, R. Sunder, Umesh Kumar Lilhore, Sarita Simaiya, Lidia Gosy Tekeste, Heba G. Mohamed, Ehab Seif Ghith:
Energy-Efficient Task Scheduling in Cloud Computing with EcoTaskOpt: A Hybrid Ant Colony and Particle Swarm Optimization Approach. Int. J. Comput. Intell. Syst. 19(1): 64 (2026) - [j14]Umesh Kumar Lilhore, M. S. Sanaj, K. V. Priya, A. Rasmi, Rahul Kumar Sharma, Lidia Gosy Tekeste, Ehab Seif Ghith, Shimaa A. Hussien, Sarita Simaiya:
Hybrid Quantum-Inspired Transformer Network for Kidney Stone Prediction Using Urine Analysis and CT Scans. Int. J. Comput. Intell. Syst. 19(1): 69 (2026) - [j13]M. Vamsikrishna, Yagyesh Godiyal, Abhishek Kumar Pandey, Umesh Kumar Lilhore, Sarita Simaiya, Sultan Mesfer Aldossary, Shimaa A. Hussien, Ehab Seif Ghith, Lidia Gosy Tekeste, Yogesh Kumar Sharma:
A Modified Chaos-Driven Enhanced Cryptographic Framework for Lightweight and Robust IoT Security in Resource-Constrained Devices. Int. J. Comput. Intell. Syst. 19(1): 71 (2026) - [j12]Umesh Kumar Lilhore, Sarita Simaiya, G. Lakshmi Narayanan, Anto Lourdu Xavier Raj Arockia Selvarathinam, A. Rasmi, Lidia Gosy Tekeste, Ehab Seif Ghith, Heba G. Mohamed:
Secure Cloud-Based Hybrid Deep Learning for Early Diagnosis of Ovarian Cancer Using Federated Learning. Int. J. Comput. Intell. Syst. 19(1): 102 (2026) - [j11]Umesh Kumar Lilhore, D. Anitha, R. Priya, Wasudeo P. Rahane, Sunil L. Bangare, R. Kavitha, Arvind Panwar, Lidia Gosy Tekeste, Ehab Seif Ghith, Hanaa A. Abdallah, Sarita Simaiya:
Adaptive Hybrid AI Framework for Robust and Explainable Skin Lesion Segmentation and Melanoma Detection. Int. J. Comput. Intell. Syst. 19(1): 112 (2026) - [j10]Faizal Nujumudeen, Muhammad Noorul Mubarak, Yogesh Kumar Sharma, Umesh Kumar Lilhore, Sultan Mesfer Aldossary, Shimaa A. Hussien, Ehab Seif Ghith, M. D. Monish Khan:
A hybrid chaos-based cryptographic framework for lightweight IoT security: enhancing efficiency and security in low-power devices. Peer Peer Netw. Appl. 19(2): 53 (2026) - [c2]Afzel Noore, Haitham Y. Adarbah, Ehab Seif Ghith:
STREAM-CE: Scalable Temporal Recognition of sEMG for Screenless Interaction in Consumer Electronics. ICCE 2026: 1-6 - 2025
- [j9]Navjeet Kaur, Ayush Mittal, Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal, Kashif Saleem, Ehab Seif Ghith:
Securing fog computing in healthcare with a zero-trust approach and blockchain. EURASIP J. Wirel. Commun. Netw. 2025(1): 5 (2025) - [j8]Navita, Pooja Mittal, Yogesh Kumar Sharma, Umesh Kumar Lilhore, Sarita Simaiya, Kashif Saleem, Ehab Seif Ghith:
Advanced Hybrid Machine Learning Model for Accurate Detection of Cardiovascular Disease. Int. J. Comput. Intell. Syst. 18(1): 51 (2025) - [j7]Abdullah Baihan, Ehab Seif Ghith, Harish Garg, Seyedali Mirjalili, Davut Izci, Mostafa Rashdan, Mohammad Shukri Salman, Kashif Saleem:
A Hybrid Meta-heuristic Algorithm for Optimum Micro-robotic Position Control with PID Controller. Int. J. Comput. Intell. Syst. 18(1): 86 (2025) - [j6]Navjeet Kaur, Ayush Mittal, Anuj Jain, Umesh Kumar Lilhore, Sultan Mesfer Aldossary, Sarita Simaiya, Ehab Seif Ghith, Abdullah Baihan, Hanaa A. Abdallah, M. D. Monish Khan:
Blockchain-enhanced security and bayesian trust assessment for secure task scheduling in latency-critical fog computing environments. J. Cloud Comput. 14(1): 53 (2025) - [j5]Umesh Kumar Lilhore, Scaria Alex, Vince Paul, Rahoof Puthan Purayil, Sultan Mesfer Aldossary, Sarita Simaiya, Ehab Seif Ghith, Heba G. Mohamed, M. D. Monish Khan:
QHRMOF: A Quantum-Inspired hybrid Multi-Objective framework for Energy-Efficient task scheduling and load balancing in cloud computing. J. Cloud Comput. 14(1): 54 (2025) - [j4]Muhammad Irshad Khan, Muhammad Kabir Khan, Saeed Ur Rahman, Ahmad Mubarak, Abdul Basit, Ehab Seif Ghith, Shimaa A. Hussien, Mostafa Rashdan, Mohammad Shukri Salman:
The low inter-radiator transmittance MIMO antenna with DGS and parasitic elements for Ku-Band application. Networks Heterog. Media 20(3): 782-797 (2025) - 2024
- [j3]Mohammad Al Takrouri, Shahrin Bin Md. Ayob, Nik Rumzi Nik Idris, Mohd Junaidi Abdul Aziz, Razman Ayop, Ehab Seif Ghith, Mehdi Tlija, Afraz Hussain Majeed, Zeeshan Ahmad Arfeen:
A Comparison Study of Hybrid Energy Storage System Topologies for Electric Vehicles. IEEE Access 12: 171675-171688 (2024) - [j2]Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal, Neetu Faujdar, Yogesh Kumar Sharma, K. B. V. Brahma Rao, V. V. R. Maheswara Rao, Shilpi Tomar, Ehab Seif Ghith, Mehdi Tlija:
ProtienCNN-BLSTM: An efficient deep neural network with amino acid embedding-based model of protein sequence classification and biological analysis. Comput. Intell. 40(4) (2024) - 2023
- [j1]Ehab Seif Ghith, Farid Abdel Aziz Tolba:
Tuning PID Controllers Based on Hybrid Arithmetic Optimization Algorithm and Artificial Gorilla Troop Optimization for Micro-Robotics Systems. IEEE Access 11: 27138-27154 (2023) - 2022
- [c1]Ehab Seif Ghith, Farid Abdel Aziz Tolba:
Real-Time Implementation of Tuning PID Controller Based on Whale Optimization Algorithm for Micro-robotics System. ICCAE 2022: 103-109
Coauthor Index
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last updated on 2026-04-09 00:35 CEST by the dblp team
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