Applied Soft Computing in Engineering (ASCE)

Applied Soft Computing in Engineering is an international, peer-reviewed journal dedicated to the advancement of intelligent and computational methodologies in engineering applications. The journal serves as a platform for researchers, engineers, and practitioners to publish original research, reviews, and case studies that bridge the gap between theoretical developments and real-world engineering challenges.

Scope and Focus Areas:
ASCE covers a wide range of topics, including but not limited to:

• Artificial Intelligence and Machine Learning in Engineering

• Neural Networks, Fuzzy Systems, and Evolutionary Computation

• Hybrid and Bio-inspired Algorithms

• Optimization and Decision Support Systems

• Soft Computing in Control, Robotics, and Automation

• Intelligent Signal and Image Processing

• Computational Intelligence in Power, Energy, and Environmental Systems

• Data-driven Engineering Design and Predictive Maintenance

Mission:
The mission of Applied Soft Computing in Engineering is to foster the integration of intelligent systems with engineering science, promoting innovative research that enhances performance, efficiency, and sustainability across multiple disciplines.

Audience:
The journal is intended for academics, industry professionals, and students in fields such as electrical, mechanical, civil, and computer engineering who are engaged in the application of computational intelligence techniques to solve complex engineering problems.