A self-attention driven multi-scale object detection framework for adverse weather in smart cities.

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Bibliographic Details
Title: A self-attention driven multi-scale object detection framework for adverse weather in smart cities.
Authors: Dasu BT; Department of Computer Science and Engineering, GIET University, Gunpur, Odisha, India.; Department of Information Technology, Mahatma Gandhi Institute of Technology, Hyderabad, Telangana, 500075, India., Reddy MV; Department of Computer Science and Engineering, GIET University, Gunpur, Odisha, India., Kumar KV; Department of Computer Science and Engineering, TRR College of Technology, Meerpet, Hyderabad, India., Chithaluru P; Symbiosis Institute of Technology, Hyderabad Campus, Symbiosis International (Deemed University), Pune, India. chpremkumar_it@mgit.ac.in., Ahmed N; Department of Computer sciences, college of computer and information sciences, Princess Nourah bint Abdulrahman University, 11671, Riyadh, Saudi Arabia., Abd Elminaam DS; Faculty of computers and Artificial Intelligence, Benha University, Benha, Egypt. diaa.salama@miuegypt.edu.eg.; Jadara Research Center, Jadara University, Irbid, 21110, Jordan. diaa.salama@miuegypt.edu.eg.
Source: Scientific reports [Sci Rep] 2026 Jan 13; Vol. 16 (1), pp. 1992. Date of Electronic Publication: 2026 Jan 13.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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