Results 211 to 220 of about 4,951 (270)

Initial State Privacy of Nonlinear Systems on Riemannian Manifolds

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT In this paper, we investigate initial state privacy protection for discrete‐time nonlinear closed systems. By capturing Riemannian geometric structures inherent in such privacy challenges, we refine the concept of differential privacy through the introduction of an initial state adjacency set based on Riemannian distances.
Le Liu, Yu Kawano, Antai Xie, Ming Cao
wiley   +1 more source

Analogs of the Prime Number Problem in a Shot Noise Suppression of the Soft-Reset Process. [PDF]

Nanomaterials (Basel)
Hirose Y.
europepmc   +1 more source

Outracing a National Level Model Racing Car Champion: A Hybrid Model‐Based Data‐Driven Approach

Journal of Field Robotics, EarlyView.
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, Matteo Corno, Giulio Panzani, Sergio Matteo Savaresi   +3 more
wiley   +1 more source

Optimized ANN-based bio-thermodynamic modeling of unsteady flows with coupled nanoparticle-microbial-activation-energy transport in heterogeneous porous media. [PDF]

Sci Rep
Almutlg A, Ahmed SE, Arafa AAM, Hussein SA.   +3 more
europepmc   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
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, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Big Bird: A global dataset of birds in drone imagery annotated to species level

Remote Sensing in Ecology and Conservation, EarlyView.
Drones are a valuable tool for surveying birds, but manually detecting and identifying birds in drone images is costly. We assembled a diverse dataset of 23 865 images of birds captured with 21 different drones across 11 countries. We labelled 4824 of these images, detailing the location, species, posture category, age category, and sex of 49 990 birds
Joshua P. Wilson, Tatsuya Amano, Thomas Bregnballe, Alejandro Corregidor‐Castro, Roxane Francis, Diego Gallego‐García, Jarrod C. Hodgson, Landon R. Jones, César R. Luque‐Fernández, Dominik Marchowski, John McEvoy, Ann E. McKellar, W. Chris Oosthuizen, Christian Pfeifer, Martin Renner, José Hernán Sarasola, Mateo Sokač, Roberto Valle, Adam Zbyryt, Richard A. Fuller   +19 more
wiley   +1 more source

Performance analysis over q-Weibull fading channels for symbol error probability evaluation using a tighter Gaussian Q approximation. [PDF]

Sci Rep
Samal S, Chakravarty S, Mukherjee T, Panigrahi A, Pati A, Sahu B.   +5 more
europepmc   +1 more source

How Aware Are Consumers of Water Used in Agri‐Food Products? Exploring the Misconception Between the Perceived and the Actual Water Footprint

Sustainable Development, EarlyView.
ABSTRACT Understanding the environmental impact of food production is critical to promoting sustainable consumption patterns. This study explores the gap between consumers' perceived water footprint (PWF) and the actual water footprint (AWF) of selected agri‐food products in Italy, including crop‐ and animal‐based products. A survey conducted through a
Leonardo Agnusdei, Giulio Paolo Agnusdei, Federica De Leo, Pier Paolo Miglietta   +3 more
wiley   +1 more source

Recursion beyond language: Lexical and arithmetic interference in visual hierarchical embedding. [PDF]

Psychol Res
Martins MJD, J Cook D, Villringer A.
europepmc   +1 more source

A Superintegrable Quantum Field Theory. [PDF]

Commun Math Phys
De Clerck M, Evnin O.
europepmc   +1 more source