Results 11 to 20 of about 214 (84)
Trajectory-Based Morphological Operators: A Model for Efficient Image Processing
Mathematical morphology has been an area of intensive research over the last few years. Although many remarkable advances have been achieved throughout these years, there is still a great interest in accelerating morphological operations in order for ...
Antonio Jimeno-Morenilla +4 more
doaj +2 more sources
Abstract Computer programs for video tracking of animal movement are evolving increasingly efficient, using complex algorithms or artificial intelligence systems. Despite the consequent progress in this field, researchers still face some fundamental problems in the use of such programs. For example, the best‐performing programs are often uneasy to use,
Violette Chiara, Sin‐Yeon Kim
wiley +1 more source
Can Deep Learning Search for Exceptional Chiroptical Properties? The Halogenated [6]Helicene Case
In this work, we have focused on one of the most important chiral motifs, [6]helicene, and we have predicted the effect of halogenation on its chiroptical properties using Deep Learning. We have developed three machine learning models, which allow us to evaluate millions of compounds and learn the reasons that favor some substitutions.
Rafael G. Uceda +11 more
wiley +2 more sources
La IA en el borde del fin del mundo
En Ciencias de la computación, la Artificial Intelligence o Inteligencia Artificial en español (AI o IA) es la disciplina que intenta replicar y desarrollar la inteligencia y sus procesos implícitos a través de computadoras.
Edgar Olvera-Yerena
doaj +1 more source
Characterising text mining: a systematic mapping review of the Portuguese language
Documents written in natural language constitute a major part of the artefacts produced during the software engineering life cycle. Studies indicate that more than 80% of enterprise data is stored in some sort of unstructured form, mainly as text. Therefore, the growth of user‐generated content, especially from social media, provides a huge amount of ...
Ellen Souza +8 more
wiley +1 more source
Can Magnetic Dipole Transition Moment Be Engineered?
Density Functional Theory (DFT) in combination with clustering analysis allowed the identification of a common transition in helical compounds, whose magnetic dipole transition moment |m| and the inner area have a linear relationship. The findings provide a tool for a rationalized design of helical organic molecules with improved chiroptical properties.
Rafael G. Uceda +9 more
wiley +2 more sources
Auditoría algor´ítmica en la inteligencia artificial en el Sector Público
La investigación bajo la órbita de las ciencias económicas interactúa permanentemente con otras ciencias y disciplinas. Sin duda, las nuevas tecnologías impactan fuertemente en cuestiones como las siguientes: el reconocimiento, la valuación y la ...
Eva María Mota Sánchez +1 more
doaj +1 more source
This paper presents two‐swim operators to be added to the chemotaxis process of the modified bacterial foraging optimization algorithm to solve three instances of the synthesis of four‐bar planar mechanisms. One swim favors exploration while the second one promotes fine movements in the neighborhood of each bacterium.
Betania Hernández-Ocaña +6 more
wiley +1 more source
Information Retrieval and Machine Learning Methods for Academic Expert Finding
In the context of academic expert finding, this paper investigates and compares the performance of information retrieval (IR) and machine learning (ML) methods, including deep learning, to approach the problem of identifying academic figures who are ...
Luis M. de Campos +4 more
doaj +1 more source
Photogrammetry involves aerial photography of the Earth’s surface and subsequently processing the images to provide a more accurate depiction of the area (Orthophotography).
Víctor de la Fuente Castillo +3 more
doaj +1 more source

