output
20192026
most citedAdvancements in Image Classification using Convolutional Neural Network

397 citations

16 papers

cs.CV2026

GourNet: A CNN-Based Model for Mango Leaf Disease Detection

Ekram Alam, Jaydip Sanyal, Akhil Kumar Das +2

Mango cultivation is crucial in the agricultural sector, significantly contributing to economic development and food security. However, diseases affecting mango leaves can signific…

cond-mat.stat-mech2026

Bond percolation in distorted simple cubic and body-centered cubic lattices

Bishnu Bhowmik, Sayantan Mitra, Robert M. Ziff +1

We investigate the effect of structural distortion on bond percolation in simple cubic and body-centered cubic lattices using extensive Monte Carlo simulations. Distortion is intro…

cond-mat.stat-mech2026

Site and bond percolation in linearly distorted triangular and square lattices

Bishnu Bhowmik, Sayantan Mitra, Robert M. Ziff +1

We investigate site and bond percolation in triangular and square lattices subjected to linear distortion. In contrast to previously studied distortion schemes that preserve lattic…

cond-mat.stat-mech2025★ 2 cited

Bond percolation in distorted square and triangular lattices

Bishnu Bhowmik, Sayantan Mitra, Robert M. Ziff +1

This article presents a Monte Carlo study on bond percolation in distorted square and triangular lattices. The distorted lattices are generated by dislocating the sites from their…

eess.SY2025

Evaluation methodology of Model Predictive Controllers for building's energy systems

Ali Chouman, Peter Riederer, Frédéric Wurtz

Climate change poses a serious threat to the Earth's ecosystems, fueled primarily by escalating greenhouse gas emissions. Among the main contributors, the building sector stands ou…

cs.CV2025★ 2 cited

Can Vision Transformers with ResNet's Global Features Fairly Authenticate Demographic Faces?

Abu Sufian, Marco Leo, Cosimo Distante +2

Biometric face authentication is crucial in computer vision, but ensuring fairness and generalization across demographic groups remains a big challenge. Therefore, we investigated…