Discover Security Events in United States
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The International Conference on Networks & Communications (NWCOM) 2025 offers a dedicated platform for exploring advanced research and applications in networking technologies. With topics spanning IoT, wireless communications, and data-driven connectivity, the event serves as a hub for academics, practitioners, and industry professionals aiming to address the evolving challenges and innovations in the global communication landscape.
Participants can expect presentations of peer-reviewed papers, technical workshops, and discussions on real-world use cases, bringing both theoretical and practical perspectives to the table. The conference fosters meaningful exchanges that help shape the future of network architectures, security in communication systems, and intelligent infrastructure solutions.
Physical • Paid • Part of Aircc Publishing Corporation
The 11th International Conference on Artificial Intelligence and Fuzzy Logic Systems (AIFZ 2025) bridges the gap between theoretical innovation and real-world application of AI in fields including security, robotics, and data systems. While rooted in AI and fuzzy logic, several tracks highlight technologies critical to cybersecurity, such as machine learning, neural networks, knowledge-based systems, and intelligent decision-making. These tools are foundational in developing advanced threat detection models, real-time anomaly analysis, and smarter intrusion prevention systems.
Cybersecurity professionals attending AIFZ 2025 will find value in sessions focused on AI-driven reasoning, pattern recognition, and fuzzy expert systems — all pivotal in managing uncertainty in security operations. The interdisciplinary nature of the conference encourages exploration of how soft computing and hybrid intelligent systems can automate responses to complex digital threats, making it a forward-looking event for researchers and practitioners working at the intersection of AI and cyber defense.
Physical • Paid • Part of Aircc Publishing Corporation