Results 241 to 250 of about 8,190 (293)

Innovation‐Led Sustainability in the Agri‐Food Sector: Evidence From the Global Food and Beverage Industry

Business Strategy and the Environment, EarlyView.
ABSTRACT The agri‐food sector is vital to economic development, but it exerts significant environmental and social pressures. This study draws on the natural resource‐based view. It investigates the strategic sustainability‐performance nexus in the global food and beverage industry using a longitudinal dataset (2013–2023) of 633 firms across the EU ...
Alessandro Bernardo, Domizia Vescovo, Riccardo Censi, Roberto Ruggieri, Donatella Restuccia, Paola Campana   +5 more
wiley   +1 more source

REINFORCEMENT LEARNING FOR INDIVIDUAL OPTIMAL POLICY FROM HETEROGENEOUS DATA. [PDF]

Ann Stat
Miao BR, Shahbaba B, Qu A.
europepmc   +1 more source

Model Predictive Control-Based Assist-as-Needed Strategy for Reducing Motor Slacking in Robot-Assisted Rehabilitation. [PDF]

Sensors (Basel)
Kim C, Moon Y, Choi J.
europepmc   +1 more source

SHIFT-MAB: Fair and Mobility-Aware Handover Control for 6G Fully Decoupled RANs. [PDF]

Sensors (Basel)
Gong T, Dai C, Yang T.
europepmc   +1 more source

Smooth and shape-constrained quantile distributed lag models. [PDF]

Biometrics
Jin Y, Molstad AJ, Wilson A, Antonelli J.   +3 more
europepmc   +1 more source

Trans-D3: A Novel Hybrid Transformer-Based Actor-Critic Approach for Remaining Useful Life Prediction. [PDF]

Sensors (Basel)
Paredes J, Chavez D, Isa-Jara R, Vargas D.   +3 more
europepmc   +1 more source

plmmr: an R package to fit penalized linear mixed models for genome-wide association data with complex correlation structure. [PDF]

Brief Bioinform
Peter TK, Reisetter AC, Lu Y, Rysavy OA, Breheny PJ.   +4 more
europepmc   +1 more source

An optimization algorithm for a penalized knapsack problem [PDF]

Operations Research Letters, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alberto Ceselli, Giovanni Righini
exaly   +4 more sources

A Penalized Subspace Strategy for Solving Large-Scale Constrained Optimization Problems [PDF]

2021 29th European Signal Processing Conference (EUSIPCO), 2021
Many data science problems can be efficiently addressed by minimizing a cost function subject to various constraints. In this paper a new method for solving largescale constrained differentiable optimization problems is proposed. To account efficiently for a wide range of constraints, our approach embeds a subspace algorithm into an exterior penalty ...
Ségolène Martin, Emilie Chouzenoux, Jean-Christophe Pesquet   +2 more
exaly   +5 more sources