The Adhiparasakthi Engineering College, Melmaruvathur is one of the educational institutions functioning under the Adhiparasakthi Charitable, Medical, Educational and Cultural Trust. The institution is approved by the Government of Tamil Nadu and the All India Council for Technical Education and is affiliated to Anna University. All the departments of this college were accredited by National Board of Accreditation..
Diabetic retinopathy (DR) is a leading cause of visual impairment worldwide. Early and accurate classification of disease severity using retinal fundus images is critical for timely diagnosis and prevention of vision loss. Automated systems can assist clinicians by improving screening efficiency and reducing diagnostic variability. This study proposes a novel feature-pitched classification model (FPCM) for automated classification of diabetic retinopathy stages using color fundus images, aiming to improve accuracy through enhanced feature extraction and spatial attention mechanisms. The proposed FPCM model extracts texture, intensity, and structural features from fundus images by identifying high-information regions referred to as pitch points. These features are processed using a concentric transformer learning (CTL) mechanism, which applies spatial attention across nested regions to capture both local and global patterns. The model was evaluated using the Kaggle Diabetic Retinopathy dataset. Performance metrics included accuracy, precision, and sensitivity. Statistical reliability was assessed using bootstrap-based confidence interval analysis, and results were compared with existing methods such as ERCN, EffNet-SVM, HPLBO_DMN, FCSAM, CLAHE TH, and MSTNet. The proposed model achieved an accuracy of 95.19
This study investigates the tribological behaviour of friction stir processed (FSPed) AA8011 surface composites reinforced with 1–3 wt
This study investigates the mechanical performance of high-strength concrete (HSC) incorporating silica fume (SF) as a supplementary cementitious material and waste glass aggregate (WGA) as a natural coarse aggregate replacement, with potential application in hybrid FRP-strengthened systems. Nine concrete mixtures were prepared with SF (0–20
With the cyber-physical systems championing modern smart grids, securing real-time energy data and transactions is of the essence. Traditional methods such as Signature-Based Intrusion Detection Systems (SB-IDS) are static, thereby missing zero-day threats and incapable of dynamic adaptation, achieving only 85–88
Accurate solar power generation forecasting is essential for grid stability and renewable energy integration. This paper presents an enhanced solar power forecasting system achieving 94.95
