Journal of Intelligent Machines and Smart Technologies

The Journal of Intelligent Machines and Smart Technologies is a peer-reviewed international journal that publishes high-quality research in the fields of artificial intelligence, machine learning, robotics, automation, and smart computing systems. It focuses on innovative developments in intelligent machines, IoT, cyber-physical systems, and data-driven technologies. The journal aims to bridge the gap between theoretical research and practical applications in smart technologies across domains such as healthcare, smart cities, agriculture, industry, and transportation. It encourages original contributions that enhance automation, decision-making, and system intelligence. All submissions undergo a strict peer-review process to ensure originality, quality, and academic integrity.

Aim

The primary aim of the Journal of Intelligent Machines and Smart Technologies is to:

• Promote research and innovation in intelligent machines and smart computing technologies
• Provide a global platform for knowledge sharing in artificial intelligence and emerging technologies
• Support the development of efficient, scalable, and intelligent systems for complex problem-solving
• Enhance collaboration between academia, industry, and research organizations worldwide
• Foster innovative solutions that improve automation, decision-making, and system intelligence

Scope

Artificial Intelligence and Machine Learning

Focuses on the development of intelligent algorithms that enable machines to learn from data and make decisions. It includes supervised, unsupervised, and reinforcement learning techniques applied in prediction, classification, optimization, and intelligent decision systems.

Deep Learning and Neural Networks

Covers advanced architectures such as CNNs, RNNs, and transformers used for processing complex and large-scale data. These models are widely applied in speech recognition, image analysis, autonomous systems, and natural language understanding.

Natural Language Processing

Deals with enabling machines to understand and generate human language. It includes applications such as chatbots, language translation, sentiment analysis, text mining, and conversational AI systems for improved human–machine interaction.

Computer Vision and Image Processing

Focuses on enabling machines to interpret visual data from images and videos. It includes object detection, facial recognition, medical image analysis, video analytics, and real-time visual intelligence systems.

Data Science and Big Data Analytics

Involves extracting meaningful insights from large and complex datasets using statistical methods and machine learning techniques. It includes data preprocessing, predictive modeling, visualization, and decision support systems across various domains.

Internet of Things and Smart Systems

Explores interconnected smart devices and systems for real-time data collection and automation. It includes smart cities, smart homes, industrial IoT, sensor networks, and AI-based intelligent control systems.

Robotics and Intelligent Automation

Focuses on the design and development of autonomous and semi-autonomous robotic systems. It includes industrial robots, service robots, intelligent control mechanisms, and AI-driven automation for real-world applications.

Cyber-Physical Systems and Edge Computing

Covers integration of computation, networking, and physical processes in smart environments. It includes real-time systems, edge intelligence, distributed computing, and secure smart infrastructure design.