Excellence in Research and Innovation for Humanity

ICFM 2024 : 26th International Conference on Feminism and Marxism

Mumbai, India
February 7 - 8, 2024

Conference Code: 24IN02ICFM

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the International Science Index (ISI), Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICFM 2024 has teamed up with the Special Journal Issue on Feminism and Marxism. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   August 7, 2023
Notification of Acceptance/Rejection   November 7, 2023
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   December 7, 2023
Conference Dates   February 7 - 8, 2024

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) Prediction on Housing Price Based on Deep Learning
Li Yu, Chenlu Jiao, Hongrun Xin, Yan Wang, Kaiyang Wang
2) Water End-Use Classification with Contemporaneous Water-Energy Data and Deep Learning Network
Khoi A. Nguyen, Rodney A. Stewart, Hong Zhang
3) The Security Trade-Offs in Resource Constrained Nodes for IoT Application
Sultan Alharby, Nick Harris, Alex Weddell, Jeff Reeve
4) Missing Link Data Estimation with Recurrent Neural Network: An Application Using Speed Data of Daegu Metropolitan Area
JaeHwan Yang, Da-Woon Jeong, Seung-Young Kho, Dong-Kyu Kim
5) Development and Range Testing of a LoRaWAN System in an Urban Environment
N. R. Harris, J. Curry
6) Networks in the Tourism Sector in Brazil: Proposal of a Management Model Applied to Tourism Clusters
Gysele Lima Ricci, Jose Miguel Rodriguez Anton
7) Long Short-Term Memory Based Model for Modeling Nicotine Consumption Using an Electronic Cigarette and Internet of Things Devices
Hamdi Amroun, Yacine Benziani, Mehdi Ammi
8) Imposing Speed Constraints on Arrival Flights: Case Study for Changi Airport
S. Aneeka, S.M. Phyoe, R. Guo, Z.W. Zhong
9) Mix Proportioning and Strength Prediction of High Performance Concrete Including Waste Using Artificial Neural Network
D. G. Badagha, C. D. Modhera, S. A. Vasanwala
10) Comparative Evaluation of Accuracy of Selected Machine Learning Classification Techniques for Diagnosis of Cancer: A Data Mining Approach
Rajvir Kaur, Jeewani Anupama Ginige
11) Comparative Study of Sub-Critical and Supercritical ORC Applications for Exhaust Waste Heat Recovery
Buket Boz, Alvaro Diez
12) Relay Node Placement for Connectivity Restoration in Wireless Sensor Networks Using Genetic Algorithms
Hanieh Tarbiat Khosrowshahi, Mojtaba Shakeri
13) Automatic Classification of Periodic Heart Sounds Using Convolutional Neural Network
Jia Xin Low, Keng Wah Choo
14) Forecasting of Scaffolding Work Comfort Parameters Based on Data from Meteorological Stations
I. Szer, J. Szer, M. Pieńko, A. Robak, P. Jamińska-Gadomska
15) Collaboration versus Cooperation: Grassroots Activism in Divided Cities and Communication Networks
R. Barbour

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