10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10

10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10
** Fraud Prevention Notice      Be cautious of scams involving cloned emails and fake phone numbers requesting conference or journal fees. Only make payments via Science Net's official event platform and notify us immediately at [email protected] if you suspect fraud.

Hybrid Event

7th - 8th July 2026 | San Francisco, USA

International Conference on Smart Manufacturing and Data Mining (ICSMDM - 26)

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICSMDM) 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 Data Mining, 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 manufacturing technologies and innovations
02
Data mining techniques for manufacturing processes
03
IoT applications in smart manufacturing
04
Predictive maintenance using data analytics
05
Quality control through data-driven methods
06
Supply chain optimization with data mining
07
Machine learning in production efficiency
08
Big data analytics in smart factories
09
Sustainable practices in manufacturing
10
Real-time data processing in manufacturing
11
Automation and robotics in smart manufacturing
12
Data visualization for manufacturing insights
13
Cybersecurity challenges in smart manufacturing
14
Integration of AI in manufacturing systems
15
Human factors in smart manufacturing environments
16
Digital twins and their applications
17
Energy efficiency through data mining
18
Collaborative robots and data analytics
19
Data-driven decision making in manufacturing
20
Future trends in smart manufacturing

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.

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.