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International Conference on Engineering, Applied Sciences and Technological Innovations (ICEASTI 2026) (March 2026)

About the Conference: The International Conference on Engineering, Applied Sciences and Technological Innovations (ICEASTI 2026) aims to bring together academicians, researchers, industry experts, and students from around the world. The conference provides a platform to exchange ideas, share experiences, and discuss the latest technological advancements in engineering and applied sciences. ICEASTI 2026 will serve as a premier international forum for researchers and professionals to present and discuss cutting-edge research, emerging technologies, and innovative practices. The conference encourages collaboration between academia and industry while promoting knowledge sharing across different disciplines. Participants will have the opportunity to present their research, network with experts, and explore solutions to real-world technological challenges. Selected papers from the conference will be published in journals indexed in Scopus, SCI, and Web of Science, providing global visibility to the presented research.

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ICEASTI 2026 Conference Brochure

Navsahyadri Group of Institutions (NGI)

 

Digital Twin Industrial Energy Monitoring System

Sahin Mondal, Rutik Panhalkar, Sanket Kondhalkar, Omkar Chaure

  DOI : https://doi.org/10.55948/IJERSTE.2026.C1

IOT Based Fruit Disease Analyzer

Anupam S. Ghadge, Aditi R. Dhamal, Vedant V. Pawar, Pratik N. Kadam, Sonali P. Nigade

  DOI : https://doi.org/10.55948/IJERSTE.2026.C2

Agricultural Market Price Prediction Using Machine Learning and Time Series Models

Prof Tushar Kolhe, Vedant Joshi, Aadesh Polekar, Yash Pardeshi, Pranay Pawar

  DOI : https://doi.org/10.55948/IJERSTE.2026.C3

Traffic Control System

Piyush Kashinath Sawant, Prajwal Nitin Bhoite, Ajay Bhosale

  DOI : https://doi.org/10.55948/IJERSTE.2026.C4

Voice Controlled Wheelchair

S Shivaji Lembhade, P Ram Gaikawad, S. N Ause, Yadav R.D, S.S Taware

  DOI : https://doi.org/10.55948/IJERSTE.2026.C5

A Service-Based System Model with AI Features for Informal Labour

Akash Shinde, Ashish Vidhate, Gagan Dhanapune, Vishal Khemnar, Shikha Jain

  DOI : https://doi.org/10.55948/IJERSTE.2026.C6

The Digital Twin Industrial Energy Monitoring System

Sahin Mondal, Rutik Panhalkar, Sanket Kondhalkar, Omkar Chaure

  DOI : https://doi.org/10.55948/IJERSTE.2026.C7

Self-Optimizing Digital Twins for Omnichannel Retail Experiences

Prof. Kiran Ramesh Sapkal, Prof. Anup Baburao Kumbhar, Prof. Deepak K. Sharma

  DOI : https://doi.org/10.55948/IJERSTE.2026.C8