376 citations
- Zhejiang University of TechnologyCN42 papers
- L. N. Gumilyov Eurasian National UniversityKZ34 papers
- University of the SciencesUS27 papers
- Başkent UniversityTR26 papers
- Quaid-i-Azam UniversityPK25 papers
- State University of TetovaMK25 papers
- Abdus Salam Centre for PhysicsPK19 papers
- National University of UzbekistanUZ18 papers
- Research Institute for Astronomy and Astrophysics of MaraghIR16 papers
- Ulugh Beg Astronomical InstituteUZ16 papers
- Tashkent Institute of Irrigation and Agricultural Mechanization EngineersUZ15 papers
- Canadian Quantum Research CenterCA14 papers
522 papers
Black hole shadow parameters and quasi-normal modes for Weyl-incorporated gravity
Noraiz Tahir, Mubasher Jamil, Kaynat Fatima +1
An additional term of the form in the Einstein-Hilbert Lagrangian was introduced to explain the interaction between matter and pure…
XMedFusion: A Knowledge-Guided Multimodal Perception and Reasoning Framework for Autonomous Medical Systems
Hamza Riaz, Arham Haroon, Maha Baig +3
Autonomous medical and robotic systems increasingly rely on intelligent perception and reasoning capabilities to interpret visual data and support clinical decision making. Radiolo…
A Communication-Centric 6G-LLM Architecture for Scalable Tactical Autonomous Defense Vehicle Networks
Kiran Khurshid, Shumaila Javaid, Nasir Saeed
The integration of Artificial Intelligence (AI) and emerging 6G networks introduces new opportunities for scalable coordination in tactical autonomous vehicle systems. This paper p…
Weak Annihilation Contribution to Angular Observables in Decays
Zohaib Aarfi, Qazi Maaz Us Salam, Ishtiaq Ahmed +2
We analyze the rare semileptonic decays , with or , and . We focus on the impact of weak…
Chaotic imprints of dark matter in extreme mass-ratio inspirals
Mustapha Azreg-Aïnou, Mubasher Jamil, Emmanuel N. Saridakis
Extreme mass-ratio inspirals (EMRIs) are among the most powerful probes of strong-field gravity and of the environments surrounding supermassive compact objects. Motivated by the e…
CoBA: Integrated Deep Learning Model for Reliable Low-Altitude UAV Classification in mmWave Radio Networks
Junaid Sajid, Ivo Müürsepp, Luca Reggiani +5
Uncrewed Aerial Vehicles (UAVs) are increasingly used in civilian and industrial applications, making secure low-altitude operations crucial. In dense mmWave environments, accurate…