34 citations · 48 across the 28 of their papers we have counts for
34 papers
An Improved Adaptive PID Optimizer with Enhanced Convergence and Stability for Deep Learning
Saurabh Saini, Kapil Ahuja, Thomas Wick +1
Optimization is essential in deep learning. The foundational method upon which most optimizers are built is momentum-based stochastic gradient descent. However, it suffers from two…
ResGene-T: A Tensor-Based Residual Network Approach for Genomic Prediction
Kuldeep Pathak, Kapil Ahuja, Eric de Sturler
In this work, we propose a new deep learning model for Genomic Prediction (GP), which involves correlating genotypic data with phenotypic. The genotypes are typically fed as a sequ…
Accurate Thyroid Cancer Classification using a Novel Binary Pattern Driven Local Discrete Cosine Transform Descriptor
Saurabh Saini, Kapil Ahuja, Marc C. Steinbach +1
In this study, we develop a new CAD system for accurate thyroid cancer classification with emphasis on feature extraction. Prior studies have shown that thyroid texture is importan…
Chameleon2++: An Efficient and Scalable Variant Of Chameleon Clustering
Priyanshu Singh, Kapil Ahuja
Hierarchical clustering remains a fundamental challenge in data mining, particularly when dealing with large-scale datasets where traditional approaches fail to scale effectively.…
AI Algorithm for Predicting and Optimizing Trajectory of UAV Swarm
Amit Raj, Kapil Ahuja, Yann Busnel
This paper explores the application of Artificial Intelligence (AI) techniques for generating the trajectories of fleets of Unmanned Aerial Vehicles (UAVs). The two main challenges…
Block-Fused Attention-Driven Adaptively-Pooled ResNet Model for Improved Cervical Cancer Classification
Saurabh Saini, Kapil Ahuja, Akshat S. Chauhan
Cervical cancer is the second most common cancer among women and a leading cause of mortality. Many attempts have been made to develop an effective Computer Aided Diagnosis (CAD) s…