Snehanshu Saha

According to our database, Snehanshu Saha authored at least 104 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AdaGen: Adaptive Generalized Knowledge Transfer Framework for Sensor-Based Surface Classification for Wheelchair Routing.

Vihaan Misra, Shivashankar S. Menon, Snehanshu Saha, Archana Mathur, Haoxiang Yu, Vaskar Raychoudhury

SN Comput. Sci., October, 2024

quantile-Long Short Term Memory: A Robust, Time Series Anomaly Detection Method.

Snehanshu Saha, Jyotirmoy Sarkar, Soma S. Dhavala, Preyank Mota, Santonu Sarkar

IEEE Trans. Artif. Intell., August, 2024

Towards Reducing Continuous Emotion Annotation Effort During Video Consumption: A Physiological Response Profiling Approach.

Swarnali Banik, Sougata Sen, Snehanshu Saha, Surjya Ghosh

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., August, 2024

DiEvD-SF: Disruptive Event Detection Using Continual Machine Learning With Selective Forgetting.

Aditi Seetha, Satyendra Singh Chouhan, Emmanuel S. Pilli, Vaskar Raychoudhury, Snehanshu Saha

IEEE Trans. Comput. Soc. Syst., June, 2024

Quantile Activation: departing from single point estimation for better generalization across distortions.

Aditya Challa, Sravan Danda, Laurent Najman, Snehanshu Saha

CoRR, 2024

Can Tree Based Approaches Surpass Deep Learning in Anomaly Detection? A Benchmarking Study.

Santonu Sarkar, Shanay Mehta, Nicole Fernandes, Jyotirmoy Sarkar, Snehanshu Saha

CoRR, 2024

Strong convexity-guided hyper-parameter optimization for flatter losses.

Rahul Yedida, Snehanshu Saha

CoRR, 2024

Self-SLAM: A Self-supervised Learning Based Annotation Method to Reduce Labeling Overhead.

Alfiya M. Shaikh, Hrithik Nambiar, Kshitish Ghate, Swarnali Banik, Sougata Sen, Surjya Ghosh, Vaskar Raychoudhury, Niloy Ganguly, Snehanshu Saha

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

DeliverAI: Reinforcement Learning Based Distributed Path-Sharing Network for Food Deliveries.

Ashman Mehra, Snehanshu Saha, Vaskar Raychoudhury, Archana Mathur

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Program Analysis and Machine Learning-based Approach to Predict Power Consumption of CUDA Kernel.

Gargi Alavani, Jineet Desai, Snehanshu Saha, Santonu Sarkar

ACM Trans. Model. Perform. Evaluation Comput. Syst., December, 2023

β-SGP: Scaled Gradient Projection with β-divergence for astronomical image restoration.

Yash Gondhalekar, Margarita Safonova, Snehanshu Saha

Astron. Comput., July, 2023

Efficient anomaly identification in temporal and non-temporal industrial data using tree based approaches.

Jyotirmoy Sarkar, Snehanshu Saha, Santonu Sarkar

Appl. Intell., April, 2023

Proposal of SVM Utility Kernel for Breast Cancer Survival Estimation.

Nikhilanand Arya, Archana Mathur, Snehanshu Saha, Sriparna Saha

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Automated Surface Classification System Using Vibration Patterns - A Case Study With Wheelchairs.

Haoxiang Yu, Vaskar Raychoudhury, Snehanshu Saha, Janick Edinger, Roger O. Smith, Md. Osman Gani

IEEE Trans. Artif. Intell., 2023

ALIS: A novel metric in lineage-independent evaluation of scholars.

Sudeepa Roy Dey, Archana Mathur, B. S. Dayasagar, Snehanshu Saha

J. Inf. Sci., 2023

Towards Efficient Emotion Self-report Collection Using Human-AI Collaboration: A Case Study on Smartphone Keyboard Interaction.

Prajwal Melath, Ayush Raj, Sougata Sen, Snehanshu Saha, Surjya Ghosh

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023

An improved communication strategy in vehicular ad hoc networks: adaptive game theoretic modelling approach.

Sumana Sinha, Snehanshu Saha

Int. J. Mob. Commun., 2023

A novel RNA pseudouridine site prediction model using Utility Kernel and data-driven parameters.

Sourabh Patil, Archana Mathur, Raviprasad Aduri, Snehanshu Saha

CoRR, 2023

To prune or not to prune : A chaos-causality approach to principled pruning of dense neural networks.

Rajan Sahu, Shivam Chadha, Nithin Nagaraj, Archana Mathur, Snehanshu Saha

CoRR, 2023

Decoupling Quantile Representations from Loss Functions.

Aditya Challa, Snehanshu Saha, Soma S. Dhavala

CoRR, 2023

Correcting Model Misspecification via Generative Adversarial Networks.

Pronoma Banerjee, Manasi V. Gude, Rajvi J. Sampat, Sharvari M. Hedaoo, Soma S. Dhavala, Snehanshu Saha

CoRR, 2023

Quantile LSTM: A Robust LSTM for Anomaly Detection In Time Series Data.

Snehanshu Saha, Jyotirmoy Sarkar, Soma S. Dhavala, Santonu Sarkar, Preyank Mota

CoRR, 2023

2022

CARE-Share: A Cooperative and Adaptive Strategy for Distributed Taxi Ride Sharing.

Aishwarya Manjunath, Vaskar Raychoudhury, Snehanshu Saha, Saibal Kar, Anusha Kamath

IEEE Trans. Intell. Transp. Syst., 2022

AdaSwarm: Augmenting Gradient-Based Optimizers in Deep Learning With Swarm Intelligence.

Rohan Mohapatra, Snehanshu Saha, Carlos A. Coello Coello, Anwesh Bhattacharya, Soma S. Dhavala, Sriparna Saha

IEEE Trans. Emerg. Top. Comput. Intell., 2022

LipGene: Lipschitz Continuity Guided Adaptive Learning Rates for Fast Convergence on Microarray Expression Data Sets.

Tejas Prashanth, Snehanshu Saha, Sumedh Basarkod, Suraj Aralihalli, Soma S. Dhavala, Sriparna Saha, Raviprasad Aduri

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Estimation and Applications of Quantiles in Deep Binary Classification.

Anuj Tambwekar, Anirudh Maiya, Soma S. Dhavala, Snehanshu Saha

IEEE Trans. Artif. Intell., 2022

Investigation of a Machine learning methodology for the SKA pulsar search pipeline.

Shashank Sanjay Bhat, Prabu Thiagaraj, Ben Stappers, Atul Ghalame, Snehanshu Saha, T. S. B. Sudarshan, Zafiirah Hosenie

CoRR, 2022

Hamiltonian Monte Carlo Particle Swarm Optimizer.

Omatharv Bharat Vaidya, Rithvik Terence DSouza, Snehanshu Saha, Soma S. Dhavala, Swagatam Das

CoRR, 2022

LogGENE: A smooth alternative to check loss for Deep Healthcare Inference Tasks.

Aryaman Jeendgar, Aditya Pola, Soma S. Dhavala, Snehanshu Saha

CoRR, 2022

Study of Heterogeneous User Behavior in Crowd Evacuation in Presence of Wheelchair Users.

John Hata, Haoxiang Yu, Vaskar Raychoudhury, Snehanshu Saha, Huy Tran Quang

Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection, 2022

HMC-PSO: A Hamiltonian Monte Carlo and Particle Swarm Optimization-Based Optimizer.

Omatharv Bharat Vaidya, Rithvik Terence DSouza, Soma S. Dhavala, Snehanshu Saha, Swagatam Das

Proceedings of the Neural Information Processing - 29th International Conference, 2022

P-LSTM: A Novel LSTM Architecture for Glucose Level Prediction Problem.

Abhijeet Swain, Vaibhav Ganatra, Snehanshu Saha, Archana Mathur, Rekha Phadke

Proceedings of the Neural Information Processing - 29th International Conference, 2022

A Fast and Robust Photometric Redshift Forecasting Method Using Lipschitz Adaptive Learning Rate.

Snigdha Sen, Snehanshu Saha, Pavan Chakraborty, Krishna Pratap Singh

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Fairly Constricted Multi-objective Particle Swarm Optimization.

Anwesh Bhattacharya, Snehanshu Saha, Nithin Nagaraj

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

Postulating Exoplanetary Habitability via a Novel Anomaly Detection Method.

Jyotirmoy Sarkar, Kartik Bhatia, Snehanshu Saha, Margarita Safonova, Santonu Sarkar

CoRR, 2021

Fairly Constricted Particle Swarm Optimization.

Anwesh Bhattacharya, Snehanshu Saha

CoRR, 2021

LipschitzLR: Using theoretically computed adaptive learning rates for fast convergence.

Rahul Yedida, Snehanshu Saha, Tejas Prashanth

Appl. Intell., 2021

Dynamic Taxi Ride-Sharing Through Adaptive Request Propagation Using Regional Taxi Demand and Supply.

Haoxiang Yu, Vaskar Raychoudhury, Snehanshu Saha

Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 2021

DiffAct: A Unifying Framework for Activation Functions.

Snehanshu Saha, Archana Mathur, Aditya Pandey, Harshith Arun Kumar

Proceedings of the International Joint Conference on Neural Networks, 2021

LipARELU: ARELU Networks aided by Lipschitz Acceleration.

Ishita Mediratta, Snehanshu Saha, Shubhad Mathur

Proceedings of the International Joint Conference on Neural Networks, 2021

A Swarm Variant for the Schrödinger Solver.

Urvil Nileshbhai Jivani, Omatharv Bharat Vaidya, Anwesh Bhattacharya, Snehanshu Saha

Proceedings of the International Joint Conference on Neural Networks, 2021

Prediction of Protein-Protein Interactions using Deep Multi-Modal Representations.

Kanchan Jha, Sriparna Saha, Snehanshu Saha

Proceedings of the International Joint Conference on Neural Networks, 2021

Implementation of Neural Network Regression Model for Faster Redshift Analysis on Cloud-Based Spark Platform.

Snigdha Sen, Snehanshu Saha, Pavan Chakraborty, Krishna Pratap Singh

Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021

d-BTAI: The Dynamic-Binary Tree Based Anomaly Identification Algorithm for Industrial Systems.

Jyotirmoy Sarkar, Santonu Sarkar, Snehanshu Saha, Swagatam Das

Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021

Solving the N-Queens and Golomb Ruler Problems Using DQN and an Approximation of the Convergence.

Patnala Prudhvi Raj, Snehanshu Saha, Gowri Srinivasa

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Semantic Influence Score: Tracing Beautiful Minds Through Knowledge Diffusion and Derivative Works.

Pragnya Sridhar, Deepika Karanji, Gambhire Swati Sampatrao, Sravan Danda, Snehanshu Saha

Proceedings of the Database and Expert Systems Applications - DEXA 2021 Workshops, 2021

2020

Empirical study of dynamics of amoebiasis transmission in mobile ad hoc networks (MANETs).

Ankush Mishra, Snehanshu Saha, Simran Makhija, Sumana Sinha, Vaskar Raychoudhury, Sobin C. C.

Int. J. Commun. Syst., 2020

Detection of Double-Nuclei Galaxies in SDSS.

Anwesh Bhattacharya, Snehanshu Saha, Mousumi Das

CoRR, 2020

AdaSwarm: A Novel PSO optimization Method for the Mathematical Equivalence of Error Gradients.

Rohan Mohapatra, Snehanshu Saha, Soma S. Dhavala

CoRR, 2020

CEESA meets machine learning: A Constant Elasticity Earth Similarity Approach to habitability and classification of exoplanets.

Suryoday Basak, Snehanshu Saha, Archana Mathur, Kakoli Bora, Simran Makhija, Margarita Safonova, Surbhi Agrawal

Astron. Comput., 2020

A Dynamic Taxi Ride Sharing System Using Particle Swarm Optimization.

Shrawani Silwal, Vaskar Raychoudhury, Snehanshu Saha, Md. Osman Gani

Proceedings of the 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2020

Parsimonious Computing: A Minority Training Regime for Effective Prediction in Large Microarray Expression Data Sets.

Shailesh Sridhar, Snehanshu Saha, Azhar Shaikh, Rahul Yedida, Sriparna Saha

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

LALR: Theoretical and Experimental validation of Lipschitz Adaptive Learning Rate in Regression and Neural Networks.

Snehanshu Saha, Tejas Prashanth, Suraj Aralihalli, Sumedh Basarkod, T. S. B. Sudarshan, Soma S. Dhavala

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Ant-Taxi to Pie-Passenger: Optimizing Routes and Time for Distributed Taxi Ride Sharing.

Aishwarya Manjunath, Vaskar Raychoudhury, Snehanshu Saha

Proceedings of the 2020 International Conference on COMmunication Systems & NETworkS, 2020

2019

ALVEC: Auto-scaling by Lotka Volterra elastic cloud: A QoS aware non linear dynamical allocation model.

Bidisha Goswami, Jyotirmoy Sarkar, Snehanshu Saha, Saibal Kar, Poulami Sarkar

Simul. Model. Pract. Theory, 2019

Special Issue on Machine Learning in Scientometrics.

Snehanshu Saha, Saibal Kar

J. Sci. Res., 2019

SES-RREF: The Machine Learning Approach to Credible Metrics of Scholastic Evidence via Recursive Referencing.

Archana Mathur, Snehanshu Saha, Saibal Kar, Gouri Ginde, Ankit Sinha

J. Sci. Res., 2019

Time Reversed Delay Differential Equation Based Modeling of Journal Influence in An Emerging Area.

Archana Mathur, Snehanshu Saha, Poulami Sarkar, Saibal Kar, Suryoday Basak

J. Integr. Des. Process. Sci., 2019

ChaosNet: A Chaos based Artificial Neural Network Architecture for Classification.

Harikrishnan Nellippallil Balakrishnan, Aditi Kathpalia, Snehanshu Saha, Nithin Nagaraj

CoRR, 2019

Evolution of Novel Activation Functions in Neural Network Training with Applications to Classification of Exoplanets.

Snehanshu Saha, Nithin Nagaraj, Archana Mathur, Rahul Yedida

CoRR, 2019

A novel adaptive learning rate scheduler for deep neural networks.

Rahul Yedida, Snehanshu Saha

CoRR, 2019

Separating stars from quasars: Machine learning investigation using photometric data.

Simran Makhija, Snehanshu Saha, Suryoday Basak, M. Das

Astron. Comput., 2019

COR-HR: an efficient hybrid routing approach using coefficient of restitution in MANET.

Sumana Sinha, Snehanshu Saha, Sudeepta Mishra

Proceedings of the 20th International Conference on Distributed Computing and Networking, 2019

2018

Model Visualization in Understanding Rapid Growth of a Journal in an Emerging Area.

Snehanshu Saha, Poulami Sarkar, Archana Mathur, Suryoday Basak

J. Sci. Res., 2018

Use of NoSQL Database and Visualization Techniques to Analyze Massive Scholarly Article Data from Journals.

Gouri Ginde, Snehanshu Saha, Archana Mathur, Harsha Vamsi, Sudeepa Roy Dey, Swati Sampatrao Gambhire

J. Sci. Res., 2018

Genealogy Tree: Understanding Academic Lineage of Authors via Algorithmic and Visual Analysis.

Sandra Anil, Abu Kurian, Sudeepa Roy Dey, Snehanshu Saha, Ankit Sinha

J. Sci. Res., 2018

Addressing space-constraint driven selfishness in smart opportunistic environment.

Sobin C. C., Vaskar Raychoudhury, Snehanshu Saha

Int. J. Commun. Syst., 2018

CD-SFA: stochastic frontier analysis approach to revenue modelling in large cloud data centres.

Jyotirmoy Sarkar, Bidisha Goswami, Snehanshu Saha, Saibal Kar

Int. J. Commun. Networks Distributed Syst., 2018

SBAF: A New Activation Function for Artificial Neural Net based Habitability Classification.

Snehanshu Saha, Archana Mathur, Kakoli Bora, Surbhi Agrawal, Suryoday Basak

CoRR, 2018

Time Reversed Delay Differential Equation Based Modeling Of Journal Influence In An Emerging Area.

Poulami Sarkar, Snehanshu Saha, Archana Mathur, Rahul Aedula, Saibal Kar, Surbhi Agrawal, Kakoli Bora

CoRR, 2018

Machine Learning in Astronomy: A Case Study in Quasar-Star Classification.

Mohammed Viquar, Suryoday Basak, Ariruna Dasgupta, Surbhi Agrawal, Snehanshu Saha

CoRR, 2018

Theoretical validation of potential habitability via analytical and boosted tree methods: An optimistic study on recently discovered exoplanets.

Snehanshu Saha, Suryoday Basak, Margarita Safonova, Kakoli Bora, Surbhi Agrawal, Poulami Sarkar, Jayant Murthy

Astron. Comput., 2018

A Novel Exoplanetary Habitability Score via Particle Swarm Optimization of CES Production Functions.

Abhijit Theophilus, Snehanshu Saha, Suryoday Basak, Jayant Murthy

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

TeamDL at SemEval-2018 Task 8: Cybersecurity Text Analysis using Convolutional Neural Network and Conditional Random Fields.

Manikandan. R, Krishna Madgula, Snehanshu Saha

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

A New Activation Function for Artificial Neural Net Based Habitability Classification.

Snehanshu Saha, Archana Mathur, Kakoli Bora, Suryoday Basak, Surbhi Agrawal

Proceedings of the 2018 International Conference on Advances in Computing, 2018

2017

An Incentive-Based Scheme for Mitigating Node Selfishness in Smart Opportunistic Mobile Networks.

Sobin C. C., Vaskar Raychoudhury, Snehanshu Saha

Wirel. Pers. Commun., 2017

Early Prediction of LBW Cases via Minimum Error Rate Classifier: A Statistical Machine Learning Approach.

Anisha R. Yarlapati, Sudeepa Roy Dey, Snehanshu Saha

Proceedings of the 2017 IEEE International Conference on Smart Computing, 2017

A study of revenue cost dynamics in large data centers: a factorial design approach.

Gambhire Swati Sampatrao, Sudeepa Roy Dey, Bidisha Goswami, Sai Prasanna M. S, Snehanshu Saha

Proceedings of the Second International Conference on Internet of things and Cloud Computing, 2017

An Energy-efficient and Buffer-aware Routing Protocol for Opportunistic Smart Traffic Management.

Sobin C. C., Vaskar Raychoudhury, Snehanshu Saha

Proceedings of the 18th International Conference on Distributed Computing and Networking, 2017

2016

Evidence of Chaos in EEG Signals: An Application to BCI.

Kusuma Mohanchandra, Snehanshu Saha, K. Srikanta Murthy

Proceedings of the Advances in Chaos Theory and Intelligent Control, 2016

ScientoBASE: a framework and model for computing scholastic indicators of non-local influence of journals via native data acquisition algorithms.

Gouri Ginde, Snehanshu Saha, Archana Mathur, Sukrit Venkatagiri, Sujith Vadakkepat, Anand M. Narasimhamurthy, B. S. Daya Sagar

Scientometrics, 2016

Erratum to: A novel revenue optimization model to address the operation and maintenance cost of a data center.

Snehanshu Saha, Jyotirmoy Sarkar, Avantika Dwivedi, Nandita Dwivedi, Anand M. Narasimhamurthy, Ranjan Roy, Shrisha Rao

J. Cloud Comput., 2016

A novel revenue optimization model to address the operation and maintenance cost of a data center.

Snehanshu Saha, Jyotirmoy Sarkar, Avantika Dwivedi, Nandita Dwivedi, Anand M. Narasimhamurthy, Ranjan Roy

J. Cloud Comput., 2016

CDSFA Stochastic Frontier Analysis Approach to Revenue Modeling in Large Cloud Data Centers.

Jyotirmoy Sarkar, Bidisha Goswami, Snehanshu Saha, Saibal Kar

CoRR, 2016

DSRS: Estimation and Forecasting of Journal Influence in the Science and Technology Domain via a Lightweight Quantitative Approach.

Snehanshu Saha, Neelam Jangid, Archana Mathur, M. N. Anand

CoRR, 2016

Predicting the direction of stock market prices using random forest.

Luckyson Khaidem, Snehanshu Saha, Sudeepa Roy Dey

CoRR, 2016

CISER: An Amoebiasis inspired Model for Epidemic Message Propagation in DTN.

Sobin C. C., Snehanshu Saha, Vaskar Raychoudhury, Hategekimana Fidele, Sumana Sinha

CoRR, 2016

CD-HPF: New habitability score via data analytic modeling.

Kakoli Bora, Snehanshu Saha, Surbhi Agrawal, Margarita Safonova, Swati Routh, Anand M. Narasimhamurthy

Astron. Comput., 2016

A Novel Approach to Big Data Veracity using Crowdsourcing Techniques and Bayesian Predictors.

Bhoomika Agarwal, Abhiram Ravikumar, Snehanshu Saha

Proceedings of the 9th Annual ACM India Conference, 2016

2015

EEG Based Brain Computer Interface for Speech Communication: Principles and Applications.

Kusuma Mohanchandra, Snehanshu Saha, G. M. Lingaraju

Proceedings of the Brain-Computer Interfaces - Current Trends and Applications, 2015

Distinct adoption of k-nearest neighbour and support vector machine in classifying EEG signals of mental tasks.

Kusuma Mohanchandra, Snehanshu Saha, K. Srikanta Murthy, G. M. Lingaraju

Int. J. Intell. Eng. Informatics, 2015

Coefficient of Restitution based Cross Layer Interference Aware Routing Protocol in Wireless Mesh Networks.

Sarasvathi V., Snehanshu Saha, N. Ch. S. N. Iyengar, Mahalaxmi Koti

Int. J. Commun. Networks Inf. Secur., 2015

QoS Guaranteed Intelligent Routing Using Hybrid PSO-GA in Wireless Mesh Networks.

Sarasvathi V., N. Ch. S. N. Iyengar, Snehanshu Saha

CoRR, 2015

ASTROMLSKIT: A New Statistical Machine Learning Toolkit: A Platform for Data Analytics in Astronomy.

Snehanshu Saha, Surbhi Agrawal, Manikandan. R, Kakoli Bora, Swati Routh, Anand M. Narasimhamurthy

CoRR, 2015

A QoS aware Novel Probabilistic strategy for Dynamic Resource Allocation.

G. Arun Kumar, Snehanshu Saha, Aravind Sundaresan, Bidisha Goswami

CoRR, 2015

Teaching Advanced Algebra to Engineering Majors: Dealing with the classroom challenges.

Snehanshu Saha, Bhoomika Agarwal, Priyal Mehta

Proceedings of the Third International Symposium on Women in Computing and Informatics, 2015

Computing the Prestige of a journal: A Revised Multiple Linear Regression Approach.

Neelam Jangid, Snehanshu Saha, Anand M. Narasimhamurthy, Archana Mathur

Proceedings of the Third International Symposium on Women in Computing and Informatics, 2015

2014

An Efficient Interference Aware Partially Overlapping Channel Assignment and Routing in Wireless Mesh Networks.

Sarasvathi V., N. Ch. S. N. Iyengar, Snehanshu Saha

Int. J. Commun. Networks Inf. Secur., 2014

An enhancement to CloudSim via distributed data storage.

Roopa T. P, Surbhi Agrawal, Snehanshu Saha

Proceedings of the 2014 International Conference on Advances in Computing, 2014

Estimating the number of Prime numbers less than a given positive integer by a novel quadrature method: A study of Accuracy and Convergence.

Mushtaque Ahamed A, Snehanshu Saha

Proceedings of the 2014 International Conference on Advances in Computing, 2014

2013

Interference Aware Channel Assignmnet Using Edge Coloring in Multi-Channel Multi-Radio Wireless Mesh Networks

Sarasvathi V., N. Ch. S. N. Iyengar, Snehanshu Saha

CoRR, 2013

A Randomized Generic Lucas Seed Algorithm (RGLSA) with Tail Boosting for Threat Modeling in Virtual Machines.

Snehanshu Saha, Bidisha Goswami, Alexander Ngenzi, Aquila Khanam

CoRR, 2013

Modeling Vanilla Option prices: A simulation study by an implicit method.

Snehanshu Saha, Bidisha Goswami, Surbhi Agrawal

CoRR, 2013

Baseball hand tracking from monocular video.

Kishore Venkateshan, Arvind Shekar, Snehanshu Saha

Proceedings of the International Conference on Advances in Computing, 2013