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Hybrid Event

17th - 18th August 2026 | Madrid, Spain

International Conference on Smart Cities and Machine Learning (ICSCML - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICSCML) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Machine Learning, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Smart city infrastructure and machine learning
02
Traffic management using AI technologies
03
Public safety applications of machine learning
04
Energy efficiency in smart cities
05
Data analytics for urban planning
06
Citizen engagement through smart technologies
07
Machine learning for waste management solutions
08
IoT integration in smart city frameworks
09
Predictive maintenance for urban infrastructure
10
Environmental monitoring in smart cities
11
Machine learning for public transportation systems
12
Social equity in smart city initiatives
13
AI for emergency response optimization
14
Smart grids and energy management
15
Urban health monitoring using AI
16
Machine learning for housing and development
17
Future of smart city technologies
18
Collaborative governance in smart cities
19
Machine learning for urban resilience
20
Ethical considerations in smart city AI

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

Submit Your Paper Today Register Early
2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.