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How has Almas Begum's publication output changed over time?
ScholarIQpublication output · 2022–2024
Output grew200% over the shown period — from 2 works in 2022 to 6 in 2024.
2
2
6
202220232024
What are the most-cited papers on Almas Begum?
ScholarIQmost cited works
A Combined Deep CNN: LSTM with a Random Forest Approach for Breast Cancer Diagnosis
Almas Begum, V. Dhilip Kumar, Junaid Asghar, D Hemalatha, G. Arulkumaran
S207319443. 202264 CitationsOPEN ACCESS
Predictive Modeling for Medical Insurance Malpractice Using Random Forest and XGBoost
M J Carmel Mary Belida, Almas Begum, Alex David S, E. Kannan, K Senthil, N. Ruth Naveena
202432 Citations
Deep Learning Techniques Advancements in Apple Leaf Disease Detection
E. Kannan, Carmel Mary Belinda M J, Alex David S, Ruth Naveena N, Almas Begum, D Hemalatha
Procedia Computer Science. 202422 CitationsOPEN ACCESS
Deep Learning Advances in Brain Tumor Classification: Leveraging VGG16 and MobileNetV2 for Accurate MRI Diagnostics
Alex David S, Almas Begum, S. Ismail Kalilulah, Ruth Naveena N, K. Rajathi, D Hemalatha
202422 Citations
Deep Learning-Based Lung Cancer Classification: Recent Developments and Future Prospects
Almas Begum, Alex David S, D Hemalatha, Lavanya Sita Sai Kollipara
202320 Citations
Related on ScholarIQ
Saveetha University
Institution
A Combined Deep CNN: LSTM with a Random Forest Approach for Breast Cancer Diagnosis
Paper
Predictive Modeling for Medical Insurance Malpractice Using Random Forest and XGBoost
Paper
Deep Learning Techniques Advancements in Apple Leaf Disease Detection
Paper
Deep Learning Advances in Brain Tumor Classification: Leveraging VGG16 and MobileNetV2 for Accurate MRI Diagnostics
Paper
Deep Learning-Based Lung Cancer Classification: Recent Developments and Future Prospects
Paper