Results 121 to 130 of about 9,081 (239)
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
Partial rectangular metric spaces and fixed point theorems. [PDF]
Shukla S.
europepmc +1 more source
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Some common fixed point theorems in complex valued b-metric spaces. [PDF]
Mukheimer AA.
europepmc +1 more source
Enabling Stochastic Dynamic Games for Robotic Swarms
This paper scales stochastic dynamic games to large swarms of robots through selective agent modeling and variable partial belief space planning. We formulate these games using a belief space variant of iterative Linear Quadratic Gaussian (iLQG). We scale to teams of 50 agents through selective modeling based on the estimated influence of agents ...
Kamran Vakil, Alyssa Pierson
wiley +1 more source
On new common fixed point theorems via bipolar fuzzy b-metric space with their applications. [PDF]
Maheswari JU +5 more
europepmc +1 more source
Common coupled fixed point theorems satisfying rational type contractive conditions in b-metric spaces. [PDF]
Sarwar M, Hussain S, Kumari PS.
europepmc +1 more source
A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks
This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan +6 more
wiley +1 more source
Hybrid fixed point theorems of graphic contractions with applications. [PDF]
Jiddah JA +4 more
europepmc +1 more source
Fixed point theorems for generalized α -β-weakly contraction mappings in metric spaces and applications. [PDF]
Latif A, Mongkolkeha C, Sintunavarat W.
europepmc +1 more source

