Archive for October 21st, 2026

Fwd: [CVML] Call for Papers – Visual Perception enabling Autonomous Navigation (VP-NAV) | Image and Vision Computing 

We are pleased to invite submissions to the Special Issue “Visual Perception enabling Autonomous Navigation (VP-NAV)” of Image and Vision Computing.    Autonomous navigation is playing an increasingly important role across intelligent transportation, environmental monitoring, smart agriculture, service robotics, and industrial automation. Visual perception represents a key enabling technology, allowing autonomous systems to sense, interpret, […]

Emerging Trends in Smart Waste Monitoring and Environmental Surveillance

𝗖𝗔𝗟𝗟 𝗙𝗢𝗥 𝗣𝗔𝗣𝗘𝗥𝗦 We are pleased to announce the Topical Collection “𝗘𝗺𝗲𝗿𝗴𝗶𝗻𝗴 𝗧𝗿𝗲𝗻𝗱𝘀 𝗶𝗻 𝗦𝗺𝗮𝗿𝘁 𝗪𝗮𝘀𝘁𝗲 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁𝗮𝗹 𝗦𝘂𝗿𝘃𝗲𝗶𝗹𝗹𝗮𝗻𝗰𝗲.”   𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗹𝗶𝗻𝗸: https://link.springer.com/journal/521/updates/27851508   Waste management, illegal dumping, and environmental pollution require increasingly intelligent monitoring solutions. Recent advances in artificial intelligence and computer vision offer promising opportunities, although key challenges remain, including robustness across […]

24th European Semantic Web Conference (ESWC 2027): First Call for Contributions

*** First Call for Contributions *** 24th European Semantic Web Conference (ESWC 2027) May 23-27, 2027, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://2027.eswc-conferences.org The European Semantic Web Conference (ESWC) is a major venue for academic research and developments in the area of the Semantic Web and Knowledge Graphs. As in previous years, ESWC […]

AICES 2027: early registration October 27

  2nd INTERNATIONAL SCHOOL ON HUMAN-AI COLLABORATION IN THE ERA OF AGENTIC AI   AICES 2027   Bilbao, Spain   May 3-6, 2027   https://aices.irdta.eu/2027/   ********************************************************   Co-organized by:   University of Deusto   IRDTA – Institute for Research Development, Training and Advice   ********************************************************   Early registration: October 27, 2026   ********************************************************   […]

Courses How to Build a Deep learning model to detect Ships

For anyone studying practical computer vision and deep learning deployment: A frequent challenge in applied vision projects is balancing spatial accuracy against computational overhead during training. Selecting an architecture variant like YOLOv8l provides the parameter capacity necessary to resolve multi-scale objects in clustered environments, but success depends entirely on proper configuration and validation monitoring. This […]

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