Results 51 to 60 of about 139,579 (291)
Neural Network Structure Optimization by Simulated Annealing
Entropy, 2022 A critical problem in large neural networks is over parameterization with a large number of weight parameters, which limits their use on edge devices due to prohibitive computational power and memory/storage requirements.
Chun Lin Kuo +2 more
doaj +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Digital HealthObjective Mobile health applications hold immense potential for enhancing health outcomes. Usability is one of the main factors for the adoption and use of mobile health applications. However, despite the growing importance of mHealth applications, clear
Zahra Galavi +2 more
doaj +1 more source
Use of Less Relevant Heuristics in Mortgage Valuations in Tanzania
Journal of African Real Estate Research, 2019 Valuation-surveyors, like all other disciplines, are invariably influenced by a host of factors when estimating values for different purposes. Faced with complex decision-making in valuation, many surveyors are compelled to make use of heuristics ...
Agnes Nkundwe Mwasumbi +1 more
doaj +1 more source
Advanced Materials, EarlyView.In the proposed model, a photoinduced nanoreactor uses Cu2O self‐photooxidation to generate localized supersaturation. A metastable supersaturation state first forms a shell, creating a spatially confined environment that restricts reactant exchange; continued Cu release then drives the local environment toward a labile regime that favors predominantly
Yongdeok Ahn +5 more
wiley +1 more source
Inverse Design of Nanoparticulate Materials
Advanced Materials, EarlyView.Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré +5 more
wiley +1 more source
The Heuristics of Entrepreneurs
Expert Journal of Business and Management, 2019 The study considered and investigated the heuristics of entrepreneurs in the fields of management, strategy, innovation, marketing, sales, HR, and tactics. Overall, a very sophisticated heuristic set was surfaced.
Andrea MAKINGS, Brian BARNARD
doaj
Scheduling dynamic job shop manufacturing cells with family setup times: a simulation study
Logistics Research, 2017 Heuristics based on dispatching rules are still widely used in practice as methods for effective scheduling systems. Despite the successful development of various novel dispatching rules for traditional job shop scheduling environments, nearly none of ...
Armin Klausnitzer +2 more
doaj +1 more source
HEURISTICS IN ARCHITECTURE. (HEURISTIC METHODS).
, 2023 The purpose of the article is to consider the features of the science of Heuristics, which explores creative activity in architecture. It also considers heuristic methods with examples.
openaire +2 more sources
Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Advanced Materials, EarlyView.Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source