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20242026
most citedComprehensive Study Of Predictive Maintenance In Industries Using Classification Models And LSTM Model

1 citations · 1 across the 5 of their papers we have counts for

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6 papers

cs.DB2026

KELP: Robust Online Log Parsing Through Evolutionary Grouping Trees

Satyam Singh, Sai Niranjan Ramachandran

Real-time log analysis is the cornerstone of observability for modern infrastructure. However, existing online parsers are architecturally unsuited for the dynamism of production e…

cs.CG2025

Near-Linear and Parameterized Approximations for Maximum Cliques in Disk Graphs

Jie Gao, Pawel Gawrychowski, Panos Giannopoulos +4

A \emph{disk graph} is the intersection graph of (closed) disks in the plane. We consider the classic problem of finding a maximum clique in a disk graph. For general disk graphs,…

cs.CV2025

Polar Separable Transform for Efficient Orthogonal Rotation-Invariant Image Representation

Satya P. Singh, Rashmi Chaudhry, Anand Srivastava +1

Orthogonal moment-based image representations are fundamental in computer vision, but classical methods suffer from high computational complexity and numerical instability at large…

cs.LG2024

Online Epsilon Net and Piercing Set for Geometric Concepts

Sujoy Bhore, Devdan Dey, Satyam Singh

VC-dimension and -nets are key concepts in Statistical Learning Theory. Intuitively, VC-dimension is a measure of the size of a class of sets. The famous …

eess.IV2024

Power-Efficient Image Storage: Leveraging Super Resolution Generative Adversarial Network for Sustainable Compression and Reduced Carbon Footprint

Ashok Mondal, Satyam Singh

In recent years, large-scale adoption of cloud storage solutions has revolutionized the way we think about digital data storage. However, the exponential increase in data volume, e…

cs.LG2024★ 1 cited

Comprehensive Study Of Predictive Maintenance In Industries Using Classification Models And LSTM Model

Saket Maheshwari, Sambhav Tiwari, Shyam Rai +1

In today's technology-driven era, the imperative for predictive maintenance and advanced diagnostics extends beyond aviation to encompass the identification of damages, failures, a…