Zeehaida Mohamed

Universiti Sains Malaysia — Malaysia

Computer Science · Physical Sciences

25h-index2.0kcitations164works1.82yr avg
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Research Topics

Digital Imaging for Blood Diseases(47), Amoebic Infections and Treatments(24), Parasites and Host Interactions(20), Parasitic Infections and Diagnostics(19), Mosquito-borne diseases and control(17)

Publications163 total

Abstract B125: Discovery of a first-in-class CDK9 degrader targeting oncogenic transcription networks in hematologic and solid tumors
Molecular Cancer Therapeutics·2025
AI-Integrated QSAR Modeling for Enhanced Drug Discovery: From Classical Approaches to Deep Learning and Structural Insight
International Journal of Molecular Sciences·2025· 4 citedOpen Access
Deep learning and attention mechanisms in RNA secondary structure prediction: A critical survey
International Journal of ADVANCED AND APPLIED SCIENCES·2025Open Access
Exploring the prevalence of oral trichomonads in patients with periodontitis at a tertiary teaching hospital
Acta Tropica·2025
Malaria Parasite Image Classification Using Multilayer Perceptron with AlexNet-Based Feature Extraction
2025
Unravelling the Relationship: Oral Protozoans, Periodontitis and Systemic Non-Communicable Diseases
Malaysian Journal of Medical Sciences·2025· 3 citedOpen Access
Current trends in the epidemiology of multidrug-resistant and beta-lactamase-producing <i>Pseudomonas aeruginosa</i> in Asia and Africa: a systematic review and meta-analysis
PeerJ·2025· 12 citedOpen Access
AI-driven prediction of mRNA vaccine degradation rates with dropout-enhanced hyperparameter optimisation
International Journal of Biomedical Engineering and Technology·2025
Classification of Malaria Parasite Images Using Gray Level Co-Occurrence Matrix Feature Extraction and Neural Networks
2024· 2 cited
Seroprevalence of Neonatal Herpes Simplex Virus Infection at A Tertiary Teaching Hospital in Malaysia
IIUM Medical Journal Malaysia·2024Open Access
Effectiveness of Various Smoothing Filters on Malaria Cell Image Quality
2024
Classification of Thalassemia Based on Red Blood Cell Images using Deep Learning
2024
Detection of Congenital Toxoplasmosis and Cytomegalovirus Infections Using Paired Sample Serodiagnosis from Suspected Cases at a Tertiary Teaching Hospital in Malaysia
Malaysian Journal of Medical Sciences·2024· 1 citedOpen Access
Classification Performance of BFGS Quasi-Newton Backpropagation and Scaled Conjugate Gradient Backpropagation Models for Lung X-Ray Images
2024· 5 cited
Denoising Malaria Color Images using Non-Local Means (NLM) Filter Based on Region of Interest
2024
Optimizing hybrid neural networks for precise COVID-19 mRNA vaccine degradation prediction
International Journal of ADVANCED AND APPLIED SCIENCES·2024· 2 citedOpen Access
COVID-19 mRNA vaccine degradation rate prediction using artificial intelligence techniques: A narrative review
International Journal of ADVANCED AND APPLIED SCIENCES·2024· 3 citedOpen Access
AI-Driven Prediction of mRNA Vaccine Degradation Rates with Dropout-Enhanced Hyperparameter Optimisation
International Journal of Biomedical Engineering and Technology·2024
Clasification of Malaria Images in Thropozoid Stages Using Deep Learning Models
2023· 3 cited
Risk factors and approaches for detection of Trichomonas tenax, the silent culprit in periodontal disease: A narrative review
The Saudi Dental Journal·2023· 6 citedOpen Access
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Frequent Co-authors

Rahmah Noordin(14), Khalid Hajissa(10), Habsah Hasan(6), Boon Huat Lim(6), Robaiza Zakaria(5), Aimi Salihah Abdul Nasir(5), ‪Mohd Yusoff Mashor(5), Weng Kin Wong(5), Hans Van Rostenberghe(4), Rapeah Suppıan(4), Alfonso Olivos‐García(4), R Noraida(3), W. I. Wan Pauzi(3), I. Fatimah(3), Abdul Rahman Rosliza(3), N. Y. Nik Sharimah(3), H. Maimunah(3), Ali Mussa(3), Mustafa Talib(3), Nabilah Ismail(3)