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Hybrid Event

11th - 12th March 2027 | New York, USA

International Conference on Machine Learning and Cybernetics (ICMLC - 27)

4

Days

4

Hrs

07

Min

02

Sec

Conference Program

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.

Why it matters

SDG 4 — Quality Education
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 16 — Peace, Justice and Strong Institutions
Explore All Session Tracks
Track 01
Advancements in Statistical Machine Learning

This track focuses on the latest developments in statistical machine learning techniques and their applications in various engineering domains. Participants will explore innovative algorithms and methodologies that enhance predictive modeling and data analysis.

Track 02
Fuzzy Control Systems in Engineering

This session addresses the integration of fuzzy logic in control systems, emphasizing its effectiveness in handling uncertainty and imprecision. Researchers will present case studies and theoretical advancements that showcase the utility of fuzzy control in engineering applications.

Track 03
Pattern Recognition Techniques for Cybersecurity

This track examines the role of pattern recognition in identifying and mitigating cybersecurity threats. Contributions will highlight novel approaches to anomaly detection, intrusion detection systems, and malware classification.

Track 04
Ensemble Methods in Machine Learning

Participants in this session will discuss the effectiveness of ensemble methods in improving model accuracy and robustness. The focus will be on innovative ensemble techniques and their applications in real-world engineering problems.

Track 05
Evolutionary Computation in Optimization Problems

This track explores the application of evolutionary computation techniques in solving complex optimization problems across various engineering fields. Presentations will cover genetic algorithms, swarm intelligence, and their practical implementations.

Track 06
Data and Web Mining for Intelligent Systems

This session delves into data and web mining techniques that facilitate the development of intelligent systems. Researchers will share insights on extracting valuable information from large datasets and the web to enhance decision-making processes.

Track 07
Intelligent Business Computing Solutions

This track focuses on the intersection of intelligent computing and business applications, showcasing innovative solutions that drive efficiency and competitiveness. Topics will include data analytics, decision support systems, and automation in business processes.

Track 08
Biometrics and Security Technologies

This session addresses the latest advancements in biometric technologies and their applications in enhancing security measures. Contributions will cover fingerprint recognition, facial recognition, and other biometric modalities in cybersecurity.

Track 09
Web Intelligence and Semantic Technologies

Participants will explore the integration of web intelligence and semantic technologies in enhancing information retrieval and user experience. Discussions will focus on ontology engineering, knowledge representation, and intelligent web services.

Track 10
Social Networks and Ubiquitous Intelligence

This track examines the role of social networks in fostering ubiquitous intelligence and their impact on communication and information dissemination. Presentations will highlight analytical methods and tools for understanding social dynamics.

Track 11
Multicriteria Decision Making in Engineering

This session focuses on multicriteria decision-making methodologies and their applications in engineering contexts. Researchers will present frameworks and case studies that illustrate the complexity of decision-making processes in uncertain environments.

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.