Class point approach for software effort estimation using soft computing techniques. - Shashank Mouli Satapathy; Mukesh Kumar 005; Santanu Kumar Rath (ICACCI, 2013)

Class point approach for software effort estimation using various support vector regression kernel methods. - Shashank Mouli Satapathy; Santanu Kumar Rath (ISEC, 2014)

Story Point Approach based Agile Software Effort Estimation using Various SVR Kernel Methods. - Shashank Mouli Satapathy; Aditi Panda; Santanu Kumar Rath (SEKE, 2014)

Use Case Point Approach Based Software Effort Estimation using Various Support Vector Regression Kernel Methods. - Shashank Mouli Satapathy; Santanu Kumar Rath (CoRR, 2014)

Class point approach for software effort estimation using stochastic gradient boosting technique. - Shashank Mouli Satapathy; Barada Prasanna Acharya; Santanu Kumar Rath (ACM SIGSOFT Softw. Eng. Notes, 2014)

Effort estimation of web-based applications using machine learning techniques. - Shashank Mouli Satapathy; Santanu Kumar Rath (ICACCI, 2016)

Early stage software effort estimation using random forest technique based on use case points. - Shashank Mouli Satapathy; Barada Prasanna Acharya; Santanu Kumar Rath (IET Softw., 2016)

Optimised class point approach for software effort estimation using adaptive neuro-fuzzy inference system model. - Shashank Mouli Satapathy; Mukesh Kumar 005; Santanu Kumar Rath (Int. J. Comput. Appl. Technol., 2016)

Empirical Assessment of Machine Learning Models for Effort Estimation of Web-based Applications. - Shashank Mouli Satapathy; Santanu Kumar Rath (ISEC, 2017)

Empirical assessment of machine learning models for agile software development effort estimation using story points. - Shashank Mouli Satapathy; Santanu Kumar Rath (Innov. Syst. Softw. Eng., 2017)

Applying Reverse Engineering Techniques to Analyze Design Patterns in Source Code. - Ashish Kumar Dwivedi; Santanu Kumar Rath; Shashank Mouli Satapathy; L. Srinivasa Chakravarthy; P. Krishna Subba Rao (ICACCI, 2018)

Application of SMOTE and LSSVM with Various Kernels for Predicting Refactoring at Method Level. - Lov Kumar; Shashank Mouli Satapathy; Aneesh Krishna (ICONIP (5), 2018)

Method Level Refactoring Prediction on Five Open Source Java Projects using Machine Learning Techniques. - Lov Kumar; Shashank Mouli Satapathy; Lalita Bhanu Murthy Neti (ISEC, 2019)

Mining patterns in open source software using software metrics and neural network models. - Ashish Kumar Dwivedi; Shashank Mouli Satapathy (Int. J. Syst. Syst. Eng., 2020)

Predicting Software Defect Severity Level using Sentence Embedding and Ensemble Learning. - Lov Kumar; Prakhar Gupta; Lalita Bhanu Murthy Neti; Santanu Ku. Rath; Shashank Mouli Satapathy; Vipul Kocher; Srinivas Padmanabhuni (SEAA, 2021)

Deep-Learning Approach with DeepXplore for Software Defect Severity Level Prediction. - Lov Kumar; Triyasha Ghosh Dastidar; Lalita Bhanu Murthy Neti; Shashank Mouli Satapathy; Sanjay Misra; Vipul Kocher; Srinivas Padmanabhuni (ICCSA (7), 2021)

Automated Diagnosis of Breast Cancer with RoI Detection Using YOLO and Heuristics. - Ananya Bal; Meenakshi Das; Shashank Mouli Satapathy; Madhusmita Jena; Subha Kanta Das (ICDCIT, 2021)

A systematic review and bibliometric analysis of community detection methodologies in dynamic networks. - Namika Makhija; Shashank Mouli Satapathy; Ashish Kumar Dwivedi (Int. J. Bus. Inf. Syst., 2021)

Ontology-Based Modelling of IoT Design Patterns. - Ashish Kumar Dwivedi; Shashank Mouli Satapathy (J. Inf. Knowl. Manag., 2021)

BFCNet: a CNN for diagnosis of ductal carcinoma in breast from cytology images. - Ananya Bal; Meenakshi Das; Shashank Mouli Satapathy; Madhusmita Jena; Subha Kanta Das (Pattern Anal. Appl., 2021)

Community detection in dynamic networks: a comprehensive and comparative review using external and internal criteria. - Namika Makhija; Shashank Mouli Satapathy (Int. J. Syst. Assur. Eng. Manag., 2021)

Application of Hybrid Approach towards Multi Aspect Classification and Analysis of Malware. - Debashreet Das; Shashank Mouli Satapathy; Ajitha D; Aman Agarwal (OCIT, 2023)

Automated Detection and Diagnosis of Skin-Lesion using Transfer Learning based YOLOv7 Approach. - Akshat Garg; Harsh Agrawal; Shashank Mouli Satapathy; Mohammad Umair Khan (OCIT, 2023)

Real Time Bimodal Emotion Recognition using Hybridized Deep Learning Techniques. - Akshata A Bhat; Kavitha S; Shashank Mouli Satapathy; Kavipriya J (ICMLDE, 2023)

A customizable framework for multimodal emotion recognition using ensemble of deep neural network models. - Chhavi Dixit; Shashank Mouli Satapathy (Multim. Syst., 2023)

A Contrastive Meta-learning Approach with Isotropic Sparse Decomposition for Scalable Audio-Visual Learning. - Dhruv Dixit; Paritosh Pandey; Raman Jha; Pranshul Bhatnagar; Shashank Mouli Satapathy (CoCoLe, 2024)

Unveiling Emotions from Audio: A Multi-model Exploration Leveraging Diverse Datasets. - Shashank Mouli Satapathy; Vaibhav Vilas Pawar; Atharva Gulkotwar (CoCoLe, 2024)

Deep CNN with late fusion for real time multimodal emotion recognition. - Chhavi Dixit; Shashank Mouli Satapathy (Expert Syst. Appl., 2024)

Mining of heterogeneous time series information for predicting chlorophyll accumulation in oceans. - Atharva Ramgirkar; Vadiraj Rao; Janhavi Talhar; Tusar Kanti Mishra; Swathi Jamjala Narayanan; Shashank Mouli Satapathy; Boominathan Perumal (Sustain. Comput. Informatics Syst., 2024)

HOGWO: a fog inspired optimized load balancing approach using hybridized grey wolf algorithm. - Debashreet Das; Sayak Sengupta; Shashank Mouli Satapathy; Deepanshu Saini (Clust. Comput., 2024)

A Lightweight Hybrid CNN-Fuzzy Logic Approach for Real Time On-Device Document Classification. - Shashank Mouli Satapathy; Akila Victor; Kartik Kumar Gounder; Vishal Agrawal; Riddhi Snehal Panchal; Amith Kumar Mahale (ISEC, 2025)

FastRWDnet: implementation of novel real-time deep video denoising utilizing optimized FastDVDnet. - Shankha Shubhra Sarkar; Aryaman Kakad; Shashank Mouli Satapathy (Innov. Syst. Softw. Eng., 2025)