Results 71 to 80 of about 14,747,589 (248)
Agribusiness, EarlyView.ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa +1 more
wiley +1 more source
AIChE Journal, EarlyView.ABSTRACT Conceptual process design combines discrete configuration choices with continuous operating decisions, often yielding difficult mixed‐integer nonlinear or simulation‐based optimization problems. This work presents an exploratory computational assessment of Ising‐based solvers, simulated annealing, quantum annealing, and entropy computing, as ...
Yirang Park, David E. Bernal Neira
wiley +1 more source
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
Advanced Intelligent Discovery, EarlyView.The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
Mathematical model of “dialectical logic”, and relatively autonomous cognitive robots
Антиномии, 2019 The object of investigation is the notorious problem of “dialectical-logic”, and its relevance to constructing relatively autonomous cognitive robots. The subjectmatter is formal axiological aspect of the mentioned object.
Vladimir O. Lobovikov
doaj +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Advanced Intelligent Systems, EarlyView.Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
Methodological Innovations, 2011 Qualitative Comparative Analysis (QCA) is a case-based method, developed by Ragin (1987, 2000), to analyse medium-and large-n datasets. It uses Boolean algebra to show which configurations of factors in a model are either necessary and/or sufficient for ...
Stephanie Thomson
doaj +1 more source
The universal Steenrod algebra at odd primes
, 2004 The aim of this work is to study the universal Steenrod algebra Qp for odd primes p. An invariant-theoretic description of Qp is given and two families of algebras related to Qp are presented.
LOMONACO, LUCIANO AMITO +1 more
core
Designing Wire Mazes for Replicating Natural Echoes to Study Bat Biosonar Function
Advanced Intelligent Systems, EarlyView.A validated framework combining efficient physical modeling (multiple scattering model) and deep learning is presented to guide wire‐maze design for bat biosonar studies. This approach rapidly generates large datasets to test acoustic distinguishability among wire arrangements.
Chunlin Jia +3 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.Motion artifacts in electrocardiographic signals, conventionally dismissed as noise, are shown to encode discriminative activity information. A smart t‐shirt fusing textile strain sensors with textile ECG electrodes, processed through a complex‐valued residual network, recognizes 12 sport activities.
Nada Al‐azzawi +4 more
wiley +1 more source
Vector‐Based SparseGPT: A Vector‐Based Sparsity Method for Large Language Model
Advanced Intelligent Systems, EarlyView.Conventional pruning such as SparseGPT produces harmful accumulated errors through step‐by‐step weight editing. V‐SparseGPT prunes and updates target weights simultaneously to curb these errors for N:M structured sparsity. Block‐sparsity and layer‐parallel sparsity greatly boost pruning efficiency.
Junfei He +3 more
wiley +1 more source