2.7k citations
- Deakin UniversityAU7 papers
- Mbeya University of Science and TechnologyTZ6 papers
- Ferdowsi University of MashhadIR5 papers
- L. N. Gumilyov Eurasian National UniversityKZ5 papers
- University of Hassan II CasablancaMA5 papers
- Eastern Mediterranean UniversityCY4 papers
- K. N. Toosi University of TechnologyIR4 papers
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- Ngee Ann PolytechnicSG4 papers
- Singapore University of Social SciencesSG4 papers
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- Islamic Azad University, TehranIR3 papers
128 papers
Differentiable Normative Guidance for Nash Bargaining Solution Recovery
Moirangthem Tiken Singh, Surajit Borkotokey, Rajnish Kumar
Autonomous artificial intelligence agents in negotiation systems must generate equitable utility allocations satisfying individual rationality (IR), ensuring each agent receives at…
Information-Geometric Signatures from Nonextensivity in the -D Blume-Capel Model
Amijit Bhattacharjee, Himanshu Bora, Prabwal Phukon
We study the thermodynamic geometry of the one-dimensional Blume--Capel model within the Tsallis nonextensive framework to understand how generalized statistics modify correlation…
Perturbative Renormalisation Group Improved Black Hole Solution and its Quasinormal Modes
Rupam Jyoti Borah, Umananda Dev Goswami
In this work, we construct a perturbative black hole (BH) solution motivated by renormalization group (RG) improvement and investigate the quasinormal modes (QNMs) of the BH under…
Predictions of effective Majorana neutrino mass under radiative corrections to reflection symmetry
Prokash Pegu, Chandan Duarah
The search for neutrinoless double beta decay () is currently one of the key objectives in neutrino physics research. The decay rate of decay depends on the effective…
Nonperturbative Isentropic Processes in AdS Black Holes with Nonlinear Electrodynamics
Mozib Bin Awal, Prabwal Phukon
We study the isentropic processes in a class of Anti de Sitter black holes coupled to non-linear electrodynamics. We demonstrate that such processes are classically forbidden but c…
Reinforcement-Learned Unequal Error Protection for Quantized Semantic Embeddings
Moirangthem Tiken Singh, Adnan Arif
This paper tackles the pressing challenge of preserving semantic meaning in communication systems constrained by limited bandwidth. We introduce a novel reinforcement learning fram…