Dr. Partha Ghosh

@aot.edu.in

Associate Professor, Department of Computer Science and Engineering
Academy of Technology

Dr. Partha Ghosh


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https://researchid.co/pghosh44
Dr. Partha Ghosh is working as an Associate Professor in the Department of Computer Science and Engineering at Academy of Technology under Maulana Abul Kalam Azad University of Technology, West Bengal, India. He completed his Ph.D. (Tech.) in Information Technology in the year of 2023 from the University of Calcutta, Kolkata, India. Prior to this, Dr. Ghosh completed his M.Tech. in 2013 from the same university. He has published more than 30 research articles in various reputed peer-reviewed journals, international conferences, and book chapters. Dr. Ghosh has served as a reviewer for numerous international conferences and has been a member of the technical program committees for several international conferences. Additionally, he is a lifetime member of IETE. His research areas include Optimization Techniques, Data Warehousing, Big Data Analysis, Machine Learning, and Business Intelligence.

EDUCATION

M.Tech. and Ph.D (Tech.) from University of Calcutta.

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Artificial Intelligence, Computer Science Applications
40

Scopus Publications

221

Scholar Citations

9

Scholar h-index

8

Scholar i10-index

Scopus Publications

  • A Study of Genome Compression Algorithms for Industrial Versus Scientific Applications Focusing Sequences in Raw and FASTA/Q Formats
    Subhankar Roy, Jhilam Mukherjee, Partha Ghosh, Mriganka Patra, Ananya Sadhukhan, Arnab Charit, Anirban Mukhopadhyay
    Lecture Notes in Networks and Systems, 2026
  • A study of the cutting-edge general-purpose compressors’ performance on the normalized genome sequence
    Subhankar Roy, Arnab Charit, Mriganka Patra, Ananya Sadhukhan, Diya Chakraborty, Partha Ghosh, Kingshuk Chatterjee, Anirban Mukhopadhyay
    Gene Reports, 2025
  • DropWrap: A Neural Network Based Automated Model for Managing Student Dropout
    Partha Ghosh, Arnab Charit, Hindol Banerjee, Debanwesa Bandhu, Agniv Ghosh, Ankita Pal, Takaaki Goto, Soumya Sen
    International Journal of Networked and Distributed Computing, 2025
    Addressing the issue of student dropout is a significant challenge for governments, particularly in developing countries such as India, Nepal, Bangladesh, and others. This challenge is further complicated by factors such as poverty, natural disasters, and early marriages. High rates of student dropout can have detrimental effects on a country, reducing its economic productivity, widening social inequalities, and perpetuating the cycle of poverty. Addressing dropout issues necessitates comprehensive strategies to cultivate a skilled and educated workforce, promoting societal well-being and global competitiveness. This research begins by applying a Neural Network based model at the cluster (region) level to identify the factors that have the most impact over time on student dropout. It analyses comprehensive data to understand the reasons why students have dropped out and provides corresponding solutions. Subsequently, it employs agglomerative hierarchical clustering to consolidate results from diverse clusters. This approach enables efficient monitoring of the state-level and country-level educational landscape, with the flexibility to drill down to granular levels as needed to identify specific regional challenges. The effectiveness of this approach is validated through the utilization of real-world datasets.
  • An Interactive Question Answer Based System on Alzheimer’s Disease Using Retrieval Augmented Generation
    Sujoy Sen, Samay Sarkar, Partha Ghosh, Takaaki Goto, Soumya Sen
    Communications in Computer and Information Science, 2025
  • CureCast: A Personalized Health Monitoring Model Utilizing Machine Learning Algorithms
    Siuli Sarkar, Trisa Maity, Elisha Mitra, Takaaki Goto, Ankur Bhattacharjee, Partha Ghosh
    Proceedings 29th IEEE Acis International Conference on Software Engineering Artificial Intelligence Networking and Parallel Distributed Computing Snpd 2025 Summer, 2025
    With the rapid pace of the world nowadays, most individuals struggle to prioritize their health because of time constraints, and this leads them to neglect minor symptoms that may transform into severe diseases. To combat this, we present CureCast, a machine learning-driven remedy recommender and health-tracking system capable of assisting users in finding possible diseases, prescribing medications and recommending healthy foods. By integrating the utilization of IoT devices such as temperature sensors, pulse oximeters and other physiological monitoring equipment, CureCast is able to acquire real-time health data to enhance diagnostic accuracy. The system makes use of a machine learning approach to process symptoms and enhance predictions to prevent misdiagnosis. This work assesses its performance on simulated and real-world data to identify its strength and reliability in real-world healthcare. Through personalized medical advice, our model seeks to help individuals and medical professionals make timely and informed decisions to improve preventive healthcare and early intervention.
  • Lagged Co-movement Prediction of Sectoral Indices in Stock Market using Frequent Itemset Mining
    Anjan Dutta, Giridhar Maji, Partha Ghosh, Punyasha Chatterjee, Takaaki Goto, Soumya Sen
    2025 IEEE Acis 23rd International Conference on Software Engineering Research Management and Applications SERA 2025 Proceedings, 2025
    Stock price prediction has become a critical area of interest for investors and market analysts, though forecasting stock market trends remains a challenging endeavor due to the inherent volatility and unpredictability of the market. The process of stock price prediction typically involves estimating future prices based on historical data, market trends, and various socioeconomic factors. However, factors like market fluctuations, incomplete or erroneous data, and investor behavior add complexity to these predictions. Several methods are employed for stock price forecasting, including fundamental analysis, technical analysis, and machine learning approaches such as Linear Regression, Random Forest, and Long Short-Term Memory (LSTM) networks. This study focuses on using sectoral indices as benchmarking tools to evaluate sector performance. Specifically, it explores the co-movements of thirteen NSE sectoral indices, with one index chosen as the target. The analysis centers on using closing prices to measure sector performance and calculates the correlations between the target index and others. The six most highly correlated indices are identified, and association rule mining is used to uncover the relationships between these indices and the target index. The study aims to: (i) examine the interdependencies between the target sector and other sectors, and (ii) generate predictive rules for a sector’s performance based on the behavior of correlated sectors, providing valuable insights for making informed investment decisions.
  • Applying Skyline Operator and Taxicab Geometry to Identify Optimal Locations for Establishing Business Properties
    Leena Jana Ghosh, Takaaki Goto, Subhankar Roy, Subhashis Das, Mainak Sen, Partha Ghosh
    Communications in Computer and Information Science, 2025
  • SentiTSMixer: A Specific Model for Sales Forecasting Using Sentiment Analysis of Customer
    Partha Ghosh, Subhashis Das, Subhankar Roy, Ankur Bhattacharjee, Agostino Cortesi, Soumya Sen
    IEEE Access, 2025
    Appropriate forecasting of sales can lead to significant revenue gains for any organization, as it allows them to plan their funding, arrange infrastructure, manage the supply chain, and anticipate profits accordingly. However, sales forecasting depends on various factors, such as product quality, market trends, economic conditions, competition, and customer behavior, and it has become even more challenging with the rise of online retailing. In today’s era, especially for online retailing, customer feedback plays a vital role in assessing a product’s quality, as users can express their level of satisfaction through it. Customers can share their opinions using numeric values, such as ratings, and/or through text, such as reviews. Additionally, they can express their views by voting on other reviews they find most helpful, based on their own level of satisfaction. In this research, we have modified the TSMixer model for sales forecasting by amalgamating customer satisfaction levels regarding a specific product. This enhancement allows the model to account for how customer sentiment directly influences sales performance, thereby improving the accuracy of sales forecasting. Experimental results on various types of Amazon data show that, depending on the dataset and the specific error detection techniques used, the proposed model delivers a reduction in error ranging from 65% to 99% compared to established models.
  • Mood-Based Personalized Tourism Recommendation System Using Sentiment Analysis
    Partha Ghosh, Ankit Kumar, Prateek Sinha, Shreechandra Neogy, Sujal Das, Tamal Tapas Ghosh, Takaaki Goto, Soumya Sen
    Proceedings 29th IEEE Acis International Conference on Software Engineering Artificial Intelligence Networking and Parallel Distributed Computing Snpd 2025 Summer, 2025
    The fast evolution of web-based technologies and digital media has transformed the way travel is planned and user-generated information like ratings, reviews and comments are playing a central role in recommending destinations. But current recommendation systems mainly base their decisions on collective opinions and tend to neglect individual preferences and real-time analysis of customer sentiment. This leads to suboptimal suggestions, where negative sentiments may be misinterpreted as positive feedback. To mitigate this gap, this paper proposes a mood-based tourism recommendation system that leverages sentiment analysis, natural language processing and multi-criteria decision-making to enhance personalization. The system processes user sentiments to forecast emotional states and recommends travel destinations based on them. It also includes other parameters like travel distance and accommodation choices to make the recommendations more efficient. After deciding on a destination, the system groups tourist attractions into customized daily schedules depending on the user's stay duration. By integrating advanced deep learning techniques, the proposed system aims to improve recommendation accuracy, offering travellers a more tailored and satisfying experience.
  • View materialization using fuzzy MAX–MIN composition with association rule mining (VMFCA)
    Partha Ghosh, Takaaki Goto, J. K. Mandal, Soumya Sen
    Innovations in Systems and Software Engineering, 2024
  • TARG: A Reference-Free, Lossless, Customized General-Purpose Encoder for Genome Sequence in Raw, FASTA, or Multi-FASTA Formats
    Subhankar Roy, Partha Ghosh, Anirban Mukhopadhyay
    Proceedings 2024 4th International Conference on Computer Communication Control and Information Technology C3it 2024, 2024
  • Need of Public-Private Healthcare Collaboration for Managing Seasonal Dengue Fever in West Bengal
    Anwesha Nag, Takaaki Goto, Subhankar Roy, Partha Ghosh
    2024 IEEE Acis 22nd International Conference on Software Engineering Research Management and Applications SERA 2024 Proceedings, 2024
  • Sales Forecasting of Overrated Products: Fine Tuning of Customer's Rating by Integrating Sentiment Analysis
    Partha Ghosh, Oendrila Samanta, Takaaki Goto, Soumya Sen
    IEEE Access, 2024
  • Online Retail Customer Segmentation using RFM Quantiles and Clustering Technique
    Mouli Majilya, Giridhar Maji, Partha Ghosh, Soumya Sen
    Proceedings 2024 4th International Conference on Computer Communication Control and Information Technology C3it 2024, 2024
  • OBDTL: Under Water Object Classification Using Transfer Learning
    Sarthak Roy, Partha Ghosh, Takaaki Goto, Mainak Sen
    Proceedings 2024 4th International Conference on Computer Communication Control and Information Technology C3it 2024, 2024
  • A Machine Learning Based Automated Model for Managing Student Dropout
    Partha Ghosh, Arnab Charit, Hindol Banerjee, Debanwesa Bandhu, Agniv Ghosh, Ankita Pal, Takaaki Goto, Soumya Sen
    2024 IEEE Acis 22nd International Conference on Software Engineering Research Management and Applications SERA 2024 Proceedings, 2024
  • Scientific Organization of Blood Donation Camp Through Lexicographic Optimization and Taxicab Path Computation
    Partha Ghosh, Takaaki Goto, Leena Jana Ghosh, Soumya Sen
    Proceedings 2023 IEEE Acis 21st International Conference on Software Engineering Research Management and Applications SERA 2023, 2023
  • A Novel Approach to Organize Blood Donation Camp and Blood Unit Wastage Management
    Partha Ghosh, Takaaki Goto, Leena Jana Ghosh, Giridhar Maji, Soumya Sen
    International Journal of Software Innovation, 2023
  • Detection of a Novel Object-Detection-Based Cheat Tool for First-Person Shooter Games Using Machine Learning
    Zhang Xiao, Takaaki Goto, Partha Ghosh, Tadaaki Kirishima, Kensei Tsuchida
    Proceedings 2023 IEEE Acis 21st International Conference on Software Engineering Research Management and Applications SERA 2023, 2023
  • Categorization of the reviewers based on the preciseness of the consumers' reviews in online retail marketplace
    Anjan Dutta, Janapriyo Maitra, Partha Ghosh, Punyasha Chatterjee, Takaaki Goto, Soumya Sen
    ACM International Conference Proceeding Series, 2022
  • Materialized View Creation by Fuzzy MAX-MIN Composition
    Partha Ghosh, Takaaki Goto, Soumya Sen
    Lecture Notes in Networks and Systems, 2022
  • RHProphet: An Enhanced Sales Forecasting Model
    International Journal of Computers and their Applications, 2021
  • A real-time business analysis framework using virtual data warehouse
    Partha Ghosh, Deep Sadhu, Soumya Sen
    International Arab Journal of Information Technology, 2021
  • Materialized View Driven Architecture over Lattice of Cuboids in Data Warehouse
    Partha Ghosh, Takaaki Goto, Jyotsna Kumar Mandal, Soumya Sen
    ACM International Conference Proceeding Series, 2021
  • Skyline computation over multiple points and dimensions
    Partha Ghosh, Soumya Sen, Agostino Cortesi
    Innovations in Systems and Software Engineering, 2021
  • An integrated blood donation campaign management system
    Lalmohan Dutta, Giridhar Maji, Partha Ghosh, Soumya Sen
    Advances in Intelligent Systems and Computing, 2019
  • Intelligent web service searching using inverted index
    Sinthia Roy, Arijit Banerjee, Partha Ghosh, Amlan Chatterjee, Soumya Sen
    Advances in Intelligent Systems and Computing, 2019
  • Reducing computational complexity of skyline by the use of logical and physical bucket
    Partha Ghosh, Leena Jana Ghosh, Subhajit Guha, Narayan C. Debnath, Soumya Sen
    Advances in Intelligent Systems and Computing, 2019
  • Taxicab geometry based analysis on skyline for business intelligence
    Partha Ghosh, Takaaki Goto, Soumya Sen
    International Journal of Software Innovation, 2018
  • Business Intelligence Development by Analysing Customer Sentiment
    Partha Ghosh, Subhranil Som, Soumya Sen
    2018 7th International Conference on Reliability Infocom Technologies and Optimization Trends and Future Directions Icrito 2018, 2018
  • System architecture of mobile application for emergency medical situation and continuous monitoring
    31st International Conference on Computer Applications in Industry and Engineering Caine 2018, 2018
  • Computing skyline using taxicab geometry
    Partha Ghosh, Takaaki Goto, Soumya Sen
    Proceedings 2017 5th International Conference on Applied Computing and Information Technology 2017 4th International Conference on Computational Science Intelligence and Applied Informatics and 2017 1st International Conference on Big Data Cloud Computing Data Science and Engineering Acit Csii Bcd 2017, 2017
  • An alternative solution of skyline operation to reduce computational complexity
    Partha Ghosh, Soumya Sen
    Proceedings 2016 2nd IEEE International Conference on Research in Computational Intelligence and Communication Networks Icrcicn 2016, 2017
  • Service modeling for virtual data warehouse
    30th International Conference on Computer Applications in Industry and Engineering Caine 2017, 2017
  • Ranking skyline points by computing nearest neighbor of Best Skyline Point
    Partha Ghosh, Soumya Sen
    12th IEEE International Conference Electronics Energy Environment Communication Computer Control E3 C3 Indicon 2015, 2016
  • Materialized view construction using linearizable nonlinear regression
    Soumya Sen, Partha Ghosh, Agostino Cortesi
    Advances in Intelligent Systems and Computing, 2016
  • Dynamic incremental maintenance of materialized view based on attribute affinity
    Partha Ghosh, Soumya Sen
    Proceedings 2014 International Conference on Data Science and Engineering Icdse 2014, 2014
  • Time and location based summarized PageRank calculation of Web pages
    Partha Ghosh, Soumya Sen
    Proceedings of the IEEE International Conference on Industrial Technology, 2014
  • Materialized view replacement using Markov's analysis
    Partha Ghosh, Soumya Sen
    Proceedings of the IEEE International Conference on Industrial Technology, 2014
  • Materialized view construction using linear regression on attributes
    Partha Ghosh, Soumya Sen, Nabendu Chaki
    Proceedings 2012 3rd International Conference on Emerging Applications of Information Technology Eait 2012, 2012

RECENT SCHOLAR PUBLICATIONS

  • Location Aware Blood Management System for Donation Camps and Emergency Demands
    PG Giridhar Maji, Subhadip Ghosh, Souvik Banerjee, Avishek Banerjee
    Transactions of the Indian National Academy of Engineering, doi.org/10.1007 … , 2026
    2026
  • A Comprehensive Analysis on the Skill-Set of the Students to Improve Campus Drive Using Machine Learning Approaches
    P Ghosh, MJH Molla, LJ Ghosh, SM Obaidullah, JK Mandal, S Sen
    Transactions of the Indian National Academy of Engineering 10 (4), 691-705 , 2025
    2025
  • A study of the cutting-edge general-purpose compressors’ performance on the normalized genome sequence
    S Roy, A Charit, M Patra, A Sadhukhan, D Chakraborty, P Ghosh, ...
    Gene Reports, 102358 , 2025
    2025
  • DEVision: A Lightweight Model for Deepfake Video Detection
    T Ghosh, Partha and Paul, Rohit and Koley, Soumyajit and Kumar, Piyush and ...
    https://ssrn.com/abstract=5472931 , 2025
    2025
  • CureCast: A Personalized Health Monitoring Model Utilizing Machine Learning Algorithms
    S Sarkar, T Maity, E Mitra, T Goto, A Bhattacharjee, P Ghosh
    2025 IEEE/ACIS 29th International Conference on Software Engineering … , 2025
    2025
  • DropWrap: A Neural Network Based Automated Model for Managing Student Dropout
    P Ghosh, A Charit, H Banerjee, D Bandhu, A Ghosh, A Pal, T Goto, S Sen
    International Journal of Networked and Distributed Computing 13 (1), 17 , 2025
    2025
    Citations: 3
  • Lagged Co-movement Prediction of Sectoral Indices in Stock Market using Frequent Itemset Mining
    A Dutta, G Maji, P Ghosh, P Chatterjee, T Goto, S Sen
    2025 IEEE/ACIS 23rd International Conference on Software Engineering … , 2025
    2025
  • SentiTSMixer: A Specific Model for Sales Forecasting Using Sentiment Analysis of Customer
    P Ghosh, S Das, S Roy, A Bhattacharjee, A Cortesi, S Sen
    IEEE Access , 2025
    2025
    Citations: 5
  • A Study of Genome Compression Algorithms for Industrial Versus Scientific Applications Focusing Sequences in Raw and FASTA/Q Formats
    S Roy, J Mukherjee, P Ghosh, M Patra, A Sadhukhan, A Charit, ...
    International Conference on Data Management, Analytics & Innovation, 409-422 , 2025
    2025
  • Identification of the Recurrence of Differentiated Thyroid Cancer by Stacking Classifier
    S Das, AK Chaudhuri, NR Choudhury, P Ghosh
    2025
    Citations: 1
  • Mood-Based Personalized Tourism Recommendation System Using Sentiment Analysis
    P Ghosh, A Kumar, P Sinha, S Neogy, S Das, TT Ghosh, T Goto, S Sen
    ACIS International Conference on Software Engineering, Artificial … , 2025
    2025
    Citations: 1
  • View materialization using fuzzy MAX–MIN composition with association rule mining (VMFCA)
    P Ghosh, T Goto, JK Mandal, S Sen
    Innovations in Systems and Software Engineering 20 (4), 851-867 , 2024
    2024
    Citations: 2
  • Applying skyline operator and taxicab geometry to identify optimal locations for establishing business properties
    LJ Ghosh, T Goto, S Roy, S Das, M Sen, P Ghosh
    International Conference on Computer Applications in Industry and … , 2024
    2024
    Citations: 3
  • An interactive question answer based system on Alzheimer’s disease using retrieval augmented generation
    S Sen, S Sarkar, P Ghosh, T Goto, S Sen
    International Conference on Computer Applications in Industry and … , 2024
    2024
    Citations: 2
  • Obdtl: Under water object classification using transfer learning
    S Roy, P Ghosh, T Goto, M Sen
    2024 4th International Conference on Computer, Communication, Control … , 2024
    2024
    Citations: 1
  • TARG: A Reference-Free, Lossless, Customized General-Purpose Encoder for Genome Sequence in Raw, FASTA, or Multi-FASTA Formats
    S Roy, P Ghosh, A Mukhopadhyay
    2024 4th International Conference on Computer, Communication, Control … , 2024
    2024
    Citations: 1
  • Online Retail Customer Segmentation using RFM Quantiles and Clustering Technique
    M Majilya, G Maji, P Ghosh, S Sen
    2024 4th International Conference on Computer, Communication, Control … , 2024
    2024
    Citations: 2
  • A machine learning based automated model for managing student dropout
    P Ghosh, A Charit, H Banerjee, D Bandhu, A Ghosh, A Pal, T Goto, S Sen
    2024 IEEE/ACIS 22nd International Conference on Software Engineering … , 2024
    2024
    Citations: 1
  • Need of Public-Private Healthcare Collaboration for Managing Seasonal Dengue Fever in West Bengal
    A Nag, T Goto, S Roy, P Ghosh
    2024 IEEE/ACIS 22nd International Conference on Software Engineering … , 2024
    2024
    Citations: 1
  • Sales forecasting of overrated products: fine tuning of customer’s rating by integrating sentiment analysis
    P Ghosh, O Samanta, T Goto, S Sen
    IEEE Access 12, 69578-69592 , 2024
    2024
    Citations: 16

MOST CITED SCHOLAR PUBLICATIONS

  • Dynamic incremental maintenance of materialized view based on attribute affinity
    P Ghosh, S Sen
    2014 International Conference on Data Science & Engineering (ICDSE), 12-17 , 2014
    2014
    Citations: 22
  • Skyline computation over multiple points and dimensions
    P Ghosh, S Sen, A Cortesi
    Innovations in Systems and Software Engineering 17 (2), 141-156 , 2021
    2021
    Citations: 19
  • An integrated blood donation campaign management system
    L Dutta, G Maji, P Ghosh, S Sen
    Contemporary Advances in Innovative and Applicable Information Technology … , 2018
    2018
    Citations: 19
  • Sales forecasting of overrated products: fine tuning of customer’s rating by integrating sentiment analysis
    P Ghosh, O Samanta, T Goto, S Sen
    IEEE Access 12, 69578-69592 , 2024
    2024
    Citations: 16
  • A real-time business analysis framework using virtual data warehouse
    P Ghosh, D Sadhu, S Sen
    Int. Arab J. Inf. Technol 18 (4), 585-595 , 2021
    2021
    Citations: 13
  • Intelligent web service searching using inverted index
    S Roy, A Banerjee, P Ghosh, A Chatterjee, S Sen
    Contemporary Advances in Innovative and Applicable Information Technology … , 2018
    2018
    Citations: 12
  • Materialized view construction using linear regression on attributes
    P Ghosh, S Sen, N Chaki
    2012 Third International Conference on Emerging Applications of Information … , 2012
    2012
    Citations: 12
  • Business intelligence development by analysing customer sentiment
    P Ghosh, S Som, S Sen
    2018 7th International Conference on Reliability, Infocom Technologies and … , 2018
    2018
    Citations: 10
  • Computing skyline using taxicab geometry
    P Ghosh, T Goto, S Sen
    2017 5th Intl Conf on Applied Computing and Information Technology/4th Intl … , 2017
    2017
    Citations: 9
  • Materialized view construction using linearizable nonlinear regression
    S Sen, P Ghosh, A Cortesi
    Advanced Computing and Systems for Security: Volume 1, 261-276 , 2015
    2015
    Citations: 7
  • Materialized view replacement using Markov's analysis
    P Ghosh, S Sen
    2014 IEEE International Conference on Industrial Technology (ICIT), 771-775 , 2014
    2014
    Citations: 7
  • Taxicab geometry based analysis on skyline for business intelligence
    P Ghosh, T Goto, S Sen
    International Journal of Software Innovation (IJSI) 6 (4), 86-102 , 2018
    2018
    Citations: 6
  • SentiTSMixer: A Specific Model for Sales Forecasting Using Sentiment Analysis of Customer
    P Ghosh, S Das, S Roy, A Bhattacharjee, A Cortesi, S Sen
    IEEE Access , 2025
    2025
    Citations: 5
  • Service modeling for virtual data warehouse
    P Ghosh, D Sadhu, S Sen, NC Debnath
    Computer Applications in Industry and Engineering (CAINE) , 2017
    2017
    Citations: 5
  • An alternative solution of skyline operation to reduce computational complexity
    P Ghosh, S Sen
    2016 Second International Conference on Research in Computational … , 2016
    2016
    Citations: 5
  • Ranking skyline points by computing nearest neighbor of best skyline point
    P Ghosh, S Sen
    2015 Annual IEEE India Conference (INDICON), 1-5 , 2015
    2015
    Citations: 5
  • RHProphet: An enhanced sales forecasting model
    P Ghosh, D Sadhu, JK Mandal, NC Debnath, S Sen
    International Journal of Computers and Their Applications 28 (4) , 2021
    2021
    Citations: 4
  • Reducing bullwhip effect in distributed supply chain management by virtual data warehouse and modified-prophet
    P Ghosh, LJ Ghosh, NC Debnath, S Sen
    Proceedings of International Conference on Computational Intelligence and … , 2021
    2021
    Citations: 4
  • DropWrap: A Neural Network Based Automated Model for Managing Student Dropout
    P Ghosh, A Charit, H Banerjee, D Bandhu, A Ghosh, A Pal, T Goto, S Sen
    International Journal of Networked and Distributed Computing 13 (1), 17 , 2025
    2025
    Citations: 3
  • Applying skyline operator and taxicab geometry to identify optimal locations for establishing business properties
    LJ Ghosh, T Goto, S Roy, S Das, M Sen, P Ghosh
    International Conference on Computer Applications in Industry and … , 2024
    2024
    Citations: 3