Biju R. Mohan

dblp:144/8304 · DBLP profile ↗
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8ranked-venue papers
0as first author
6since 2021 · last 2026
0000-0002-3928-8924ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 5 · 3 since 2021Graphics, computer vision, multimedia, augmented reality and games · 3 · 3 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021Theory of computation · 1 · 1 since 2021
YearPublicationVenuePosition
2026 Variational autoencoders for option pricing: A semi-parametric approach to eliminating traditional assumptions
S. Sapna, Biju R. Mohan
Expert Syst. Appl.2
2025 Federated learning approach for human activity recognition in online examination environment
S. Ramu, Ram Mohana Reddy Guddeti, Biju R. Mohan
Multim. Tools Appl.3
2024 Univariate GARCH Model for Futures Option Pricing: Application to Silver Mini Futures in Indian Commodity Market
S. Sapna, Biju R. Mohan
COMPLEXIS2
2024 Machine Learning Solutions for Predicting Bankruptcy in Indian Firms
Chaithra, Priyanshu Sharma, Biju R. Mohan
ICPR (3)3
2023 Deep learning-based multi-view 3D-human action recognition using skeleton and depth data
Sampat Kumar Ghosh, M. Rashmi 0001, Biju R. Mohan, Ram Mohana Reddy Guddeti
Multim. Tools Appl.3
2022 Formal Specification and Verification of Drone System using TLA+: A Case Study
abstract
A Safety-Critical System is a System whose break-down may cause disastrous effects to the environment, damage the system, or cause loss of life. Sometimes loss or misuse of information can indirectly cause harmful impacts due to system failure. In this paper, we study the various components of a drone system and analyze the safety of this Safety-Critical System (SCS) by looking into the potential failure using Fault Tree Analysis (FTA). Drone system failure or crash has been specified and verified using the Temporal Logic of Actions (TLA+) tool. The TLA+ tool consists of mathematical notations to describe the system specification using discrete mathematical concepts or formal methods. We tried to build a TLA+ Specification and Verification for this drone system, parse it using the TLC model checker successfully, and observed the final number of states to justify the correctness of the specification.
Madhusmita Das, Biju R. Mohan, Ram Mohana Reddy Guddeti
SNPD2
2019 Stock Price Movements Classification Using Machine and Deep Learning Techniques-The Case Study of Indian Stock Market
Nagaraj Naik, Biju R. Mohan
EANN2
2019 Study of Stock Return Predictions Using Recurrent Neural Networks with LSTM
Nagaraj Naik, Biju R. Mohan
EANN2