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Balajee Maram
ResearcherPublications, citations & collaboration network
Balajee Maram is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 26 works, 21 citations, an h-index of 2 and an i10-index of 0.
26
Works
21
Citations
2
h-index
0
i10-index
IDs:OpenAlex
How has Balajee Maram's publication output changed over time?
ScholarIQpublication output · 2025
11
2025
What are the most-cited papers on Balajee Maram?
ScholarIQmost cited works
Hybrid Deep Maxout-VGG-16 model for brain tumour detection and classification using MRI images
T Loganayagi, Meesala Sravani, Balajee Maram, Telu Venkata Madhusudhana Rao
S182099265. 20259 Citations
Discrete neighborhood difference pattern-based feature extraction and hybrid deep learning model for melanoma skin cancer detection
Ilavarasan Sargunan, Balajee Maram, C. Sakthi Gokul Rajan, V. V. K. D. V. Prasad, Selva Rani Balasubramaniam, Deena Gnanasekaran
S8427965. 20256 Citations
Skin cancer detection using harmonic brown bear optimization enabled transfer learning
Malathy Manickavasagam, Vaddadi Vasudha Rani, Uttam Kumar Giri, Balajee Maram
S104924063. 20252 Citations
Routing enabled optimization and deep recurrent VGG-16 model for plant disease detection in IoT
K. V. Abhishek Neelakandan, Sandhya Nadella, Balajee Maram, Madan Lal Saini
Computers and Electronics in Agriculture. 20252 Citations
Enhancing Software Defect Prediction Accuracy through Feature Selection-Driven Hybrid Intelligence
Vanapalli Kiran Kumar, Balajee Maram, Shanker Chandre
20252 Citations
Related on ScholarIQ
Artificial Intelligence in Medicine (Canada)
Institution
Hybrid Deep Maxout-VGG-16 model for brain tumour detection and classification using MRI images
Paper
Discrete neighborhood difference pattern-based feature extraction and hybrid deep learning model for melanoma skin cancer detection
Paper
Skin cancer detection using harmonic brown bear optimization enabled transfer learning
Paper
Routing enabled optimization and deep recurrent VGG-16 model for plant disease detection in IoT
Paper
Enhancing Software Defect Prediction Accuracy through Feature Selection-Driven Hybrid Intelligence
Paper