Vol. 1 No. 4 (2024): First Indus

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About

Welcome to the inaugural IndusFour Conference, a pioneering event centered around Computers, Information Technology (IT), Data, and Sustainability, with a specific focus on Industry 4.0. This conference serves as a unique platform for experts, researchers, and industry leaders to explore the fusion of computer sciences, IT, and data with the principles of sustainability. IndusFour aims to be a hub where discussions, keynote presentations, and interactive sessions unravel the potential of Industry 4.0 to shape a more sustainable and eco-conscious future. In an era defined by rapid technological evolution, the conference delves into the transformative influence of Industry 4.0, concentrating on its application to create a world that prioritizes sustainability. Participants can anticipate a diverse range of topics, from sustainable data management to eco-friendly computing practices, as IndusFour navigates the crossroads of technology and environmental responsibility. This event invites attendees to envision a future where the fourth industrial revolution becomes a positive force for change. IndusFour is more than just a conference; it is a dynamic platform fostering connections, encouraging collaboration, and inspiring collective action towards a greener, more sustainable tomorrow. Join us in exploring the convergence of technology and sustainability at the first-ever IndusFour Conference.

 

Organizers

The conference is being jointly organized by VectMag owned by SPAST Foundation (Non-profit organization)  along with its Academic partners Neil Gogte Institute of Technology Hyderabad India and KMIT Group of Educational Institutions. The Conference features chairs and co-chairs from National and Kapodistrian University of Athens, Tashkent State University Uzbekistan, Indian Institute of Technology, National Research Council Italy.

Published: 2024-03-06

First Indus Four 24

ANALYSIS OF MEASLES DISEASE IN INDIVIDUAL USING BASIC SIR MODEL

Sindu Devi Subramanian
Abstract 10 | PDF Version Download Downloads 16

Breast Cancer classification via Deep Learning approaches

Marco Gagliardi, Tommaso Ruga, Ester Zumpano, Eugenio Vocaturo
Abstract 8 | PDF Version Download Downloads 14

Diagnosing Brain Tumors: An Artificial Intelligence Modeling Approach

Danilo Maurmo, Tommaso Ruga, Ester Zumpano, Eugenio Vocaturo
Abstract 9 | PDF Version Download Downloads 15

Novel TE01δ Dielectric Resonator Design: Fabrication Simplicity and Frequency Tunability

Dimitrios A Karras, Vijay Kumar Peroumal, Dipra Paul, Sai Kiran Oruganti
Abstract 19 | PDF Version Download Downloads 22

Ring Resonator Measurement: Characterizing High Dielectric Constant Materials for the Fourth Industrial Revolution

Rosa Elia Martínez Torres, Srinesh Thakur, Sai Kiran Oruganti, Nita Sukdeo
Abstract 24 | PDF Version Download Downloads 18

Modelling of Whispering Gallery Mode Resonators for Dielectric Measurement Applications

Srinesh Thakur, Dipra Paul, Sai Kiran Oruganti, Dimitrios A Karras
Abstract 30 | PDF Version Download Downloads 38

Predictive analysis for Alzheimer's diagnosis through data mining techniques

Stefano Coscarella, Tommaso Ruga, Ester Zumpano, Eugenio Vocaturo
Abstract 13 | PDF Version Download Downloads 11

Innovative Electronics