Results 151 to 160 of about 343,821 (333)
SuperResNET is a powerful integrated software that reconstructs network architecture and molecular distribution of subcellular structures from single molecule localization microscopy datasets. SuperResNET segments the nuclear pore complex and corners, extracts size, shape, and network features of all segmented nuclear pores and uses modularity analysis
Yahongyang Lydia Li +6 more
wiley +1 more source
Generalization of q-Integral Inequalities for α,ℏ−m-Convex Functions and Their Refinements
This article finds q- and h-integral inequalities in implicit form for generalized convex functions. We apply the definition of q−h-integrals to establish some new unified inequalities for a class of α,ℏ−m-convex functions.
Ria H. Egami +4 more
doaj +1 more source
Crater Observing Bioinspired Rolling Articulator (COBRA)
Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton Crater. Incorporating snake‐like gaits and tumbling locomotion, COBRA navigates both uneven surfaces and steep crater walls.
Adarsh Salagame +4 more
wiley +1 more source
Generalized Ostrowski type inequalities for functions whose local fractional derivatives are generalized s-convex in the second sense [PDF]
Hüseyin Budak +2 more
openalex +1 more source
This study presents a multitask strategy for plastic cleanup with autonomous surface vehicles, combining exploration and cleaning phases. A two‐headed Deep Q‐Network shared by all agents is traineded via multiobjective reinforcement learning, producing a Pareto front of trade‐offs.
Dame Seck +4 more
wiley +1 more source
Generalized fractional Hermite-Hadamard type inequalities for m-convex and (α, m)-convex functions
SET Erhan ÇELİK
openalex +1 more source
Generalized $ q $-convex functions characterized by $ q $-calculus
Aisha M. Alqahtani +4 more
openalex +1 more source
New Inequalities of Simpson’s type for differentiable functions via generalized convex function [PDF]
Shan E. Farooq +4 more
openalex +1 more source
Elastic Fast Marching Learning from Demonstration
This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados +3 more
wiley +1 more source
Locally convex topological algebras of generalized functions: compactness and nuclearity in a nonlinear context [PDF]
J. Aragona +2 more
openalex +1 more source

