Publications

Plant Leaf Disease Classification Using Knowledge Distillation Methodologies Presented at CVIP 2024 | Published in Springer CCIS (Scopus) Co-authored work on developing lightweight CNNs for deployment in resource-constrained agrarian regions. DOI: 10.1007/978-3-031-93697-5_11
Revolutionizing Breast Cancer Detection: A Shallow Neural Network Approach Handbook of Deep Learning Models for Healthcare Data Processing (Scopus) Proposed a lightweight CNN that outperforms standardized benchmarks for calcification classification. DOI: 10.1201/9781003467281
Intelligent Diagnosis of Autism Spectrum Disorder 5th ICDIC 2024 | Springer LNNS developed a mobile-accessible questionnaire system backed by ML algorithms for early ASD detection. DOI: 10.1007/978-981-97-2550-2_27
Analysis of EEG Signals for Deceit Identification Springer LNNS Analyzed brain signals for lie detection using supervised learning, achieving results comparable to physical interrogation. DOI: 10.1007/978-981-97-0641-9-12
Advances in Computer-Aided Detection of Retinal Diseases Springer LNNS A comprehensive survey proposing a single CNN network for multi-disease classification. DOI: 10.1007/978-3-031-60935-0_5

Early Detection of Alzheimer’s Disease Using Advanced ML Techniques Smart Innovation, Systems and Technologies (SIST) | Scopus Review of prognostic measures for Alzheimer’s using multi-modality inputs. DOI: 10.1007/978-981-99-5180-2_37