Outracing a National Level Model Racing Car Champion: A Hybrid Model‐Based Data‐Driven Approach
ABSTRACT This paper discusses lap time optimization, focusing on a single lap without considering opponents in autonomous racing. The paper presents a control and optimization architecture composed of a model‐based low level controller and a higher level iterative learning algorithm with the goal of obtaining the fastest qualifying lap in autonomous ...
Mustafa Alp +3 more
wiley +1 more source
Area Law for the Entanglement Entropy of Free Fermions in Nonrandom Ergodic Field. [PDF]
Pastur L, Shamis M.
europepmc +1 more source
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen +8 more
wiley +1 more source
b -Hurwitz numbers from refined topological recursion. [PDF]
Kumar Chidambaram N +2 more
europepmc +1 more source
Four-Objective Optimization of an Irreversible Magnetohydrodynamic Cycle. [PDF]
Wu Q, Chen L, Ge Y, Feng H.
europepmc +1 more source
Beitr�ge zur Algebra der Logik, insbesondere zum Entscheidungsproblem [PDF]
openaire +1 more source
From Ambition to Authenticity: How Transparent Sustainability Practices Rebuild Stakeholder Trust
ABSTRACT Stakeholder trust is central to advancing sustainable development, yet it is increasingly strained as corporate sustainability commitments expand faster than verifiable performance. This study examines how authenticity and transparency in corporate sustainability practices influence the formation and maintenance of stakeholder trust under ...
A. K. M. Mohsin +5 more
wiley +1 more source
KINEMATIC CONVEX COMBINATIONS OF MULTIPLE POSES OF A BOUNDED PLANAR OBJECT BASED ON AN AVERAGE-DISTANCE MINIMIZING MOTION SWEEP. [PDF]
Liu H, Jeffrey Ge Q, Langer MP.
europepmc +1 more source
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
wiley +1 more source
Convergence and Properties of Intrinsic Bond Orbitals in Solids. [PDF]
Wöckinger B, Rumpf A, Schäfer T.
europepmc +1 more source

