Ale Journal of Sustainable Intelligent System Applications

This journal also publishes Open Access Articles

Aims and Scope

Ale Journal of Sustainable Intelligent System Applications (AJSISA) is a peer-reviewed, double-blind refereed journal dedicated to advancing research and innovation in intelligent systems applications across engineering and related domains. The journal publishes both invited and contributed articles that integrate theoretical foundations with practical implementations, supporting the development of advanced technologies and solutions. AJSISA focuses on the design, analysis, and application of intelligent systems to address complex real-world challenges. Its scope covers a wide range of engineering fields, including nanotechnology, renewable energy, medical and bioengineering, aeronautics and astronautics, mechatronics, industrial manufacturing, agriculture, and service-oriented systems. The journal also emphasizes emerging areas such as intelligent automation, smart appliances, medical robotics, robotic rehabilitation, and space-related technologies. The journal encourages submissions in key research areas such as knowledge representation and reasoning, machine learning and neural computing, evolutionary computation, fuzzy systems, intelligent information processing, intelligent control, robotics, and multi-agent systems. In addition, AJSISA promotes the application of intelligent systems in domains such as intelligent cities, healthcare, agriculture, business and finance, transportation, education, and Internet of Things (IoT) environments. By providing a platform for high-quality research contributions, AJSISA aims to bridge the gap between theoretical advancements and practical applications, fostering the development of efficient, scalable, and innovative intelligent system solutions that support technological progress and societal needs.

Topics covered include:

• Intelligent mechatronics, robotics, and automation systems
• Artificial intelligence and real-world applications
• Bio-inspired and swarm intelligence algorithms
• Evolutionary computing and genetic learning systems
• Fuzzy systems and soft computing techniques
• Machine learning, deep learning, and pattern recognition
• Natural language processing and human-computer interaction
• Advanced, adaptive, and nonlinear control systems
• Distributed control and system control theory
• Neural, Bayesian, and support vector networks
• Knowledge discovery, data mining, and analytics
• Cloud and pervasive computing technologies
• Smart manufacturing, CIMS, and process automation
• Sensor fusion, traffic control, and game theory applications
• Computer vision, networks, and enterprise information systems

Editor in Chief : S. Silvia Priscila
Bharath Institute of Higher Education and Research
india