Hybrid Conferencee

International Conference on Machine Learning for Smart Cities and IoT (ICMLSCI - 26)

1st - 2nd October 2026 | Malaga, Spain

10% DISCOUNT

Maximum discount capped at $30. Activate your Scholarly Discount during the payment phase to lower your final checkout amount.

REVEAL OFFER
EARLY10
Sample Abstract
Download
Conference Brochure
Sample Full Paper
Download
Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Malaga. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Malaga event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Malaga conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Malaga, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Malaga."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 7
SDG 7 Affordable and Clean Energy
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
Track 01

AI Innovations in Smart City Infrastructure

This track focuses on the application of artificial intelligence in enhancing urban infrastructure. It will explore innovative AI solutions that improve the efficiency and sustainability of smart city systems.

Track 02

Data Science Techniques for Urban Analytics

This session will delve into advanced data science methodologies tailored for urban environments. Participants will discuss the role of data analytics in driving insights for smart city development.

Track 03

Machine Learning Applications in IoT Systems

This track highlights the integration of machine learning techniques within Internet of Things frameworks. It aims to showcase real-world applications that enhance IoT performance and functionality.

Track 04

Real-Time Monitoring and Analytics in Smart Cities

This session addresses the challenges and solutions related to real-time data monitoring in urban areas. It will cover technologies and methodologies that enable timely decision-making for city management.

Track 05

Predictive Maintenance for Smart Infrastructure

This track explores the use of predictive analytics to maintain urban infrastructure effectively. Discussions will focus on methodologies that prevent failures and optimize resource allocation.

Track 06

Intelligent Transportation Systems and AI

This session will examine the role of artificial intelligence in transforming urban transportation networks. It will cover innovations that enhance traffic management and improve user experiences.

Track 07

Energy Optimization in Smart Cities

This track focuses on strategies for optimizing energy consumption in urban settings through advanced analytics. Participants will discuss sustainable practices and technologies that contribute to energy efficiency.

Track 08

Edge Computing for IoT in Urban Environments

This session will explore the deployment of edge computing solutions to enhance IoT applications in smart cities. It will highlight the benefits of processing data closer to the source for improved responsiveness.

Track 09

Big Data Challenges in Smart City Development

This track addresses the complexities associated with managing and analyzing large datasets in urban contexts. Discussions will focus on innovative solutions to harness big data for effective city planning.

Track 10

Anomaly Detection Techniques in IoT Systems

This session will explore advanced methodologies for detecting anomalies within IoT networks. Participants will discuss the implications of these techniques for maintaining system integrity and security.

Track 11

Sustainable Urban Systems through AI and Data Science

This track focuses on the intersection of sustainability and technology in urban planning. It will explore how AI and data science can contribute to the development of resilient and sustainable urban systems.