ICISML 2027 invites submissions of original, high-quality research papers in the following tracks. We look forward to your contributions!
International Conference on Intelligent Systems and Machine Learning (Hybrid Mode) is a premier international forum that brings together researchers, academicians, industry experts, practitioners, and students to share the latest advancements in Artificial Intelligence (AI), Intelligent Systems, Machine Learning, Deep Learning, Data Science, and emerging computing technologies. The conference promotes interdisciplinary research, innovation, and collaboration between academia and industry to address real-world challenges. Conducted in Hybrid Mode, it enables global participation through both physical and virtual presentations. The event features keynote lectures, technical paper presentations, tutorials, workshops, panel discussions, and networking opportunities. It provides an excellent platform for exchanging ideas, fostering collaborations, and showcasing cutting-edge research that drives innovation in intelligent computing and machine learning.
Cooperative intelligent applications, pattern recognition, embedded systems, UAVs, adaptive & autonomous robotics, real-time intelligence, and more.
Neural networks, deep learning, hybrid and non-linear systems, large-scale data analytics, learning algorithms, and emerging ML frameworks.
Smart cities, Internet of Things, healthcare informatics, speech recognition, natural language processing, data mining, and advanced ML applications.
Cognitive radio, vehicular networks, sensor-based intelligence, 5G & 6G technologies, UAV communication, underwater networks, and cloud-edge integration.
Genomics, proteomics, computational biology, biomedical signal analysis, drug discovery, genetic engineering, and AI in biotechnology.
Smart farming, precision agriculture, agri-robotics, IoT in agriculture, remote sensing for crop monitoring, and sustainable agricultural systems.
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.