Results 101 to 110 of about 2,752,311 (329)

Management control meets AI: From data-driven literature review to research gap

Contabilidad y Negocios: Revista del Departamento Académico de Ciencias Administrativas
The integration of artificial intelligence (AI) into academic research constitutes a high?impact instrument for managing scientific knowledge. Building on these capabilities, this paper presents a data?driven literature review that explores the ...
Omar Feria Alonso, Elena Shakina, Maria Beatriz Gonzalez-Sanchez, Jose Berbel-Vera   +3 more
doaj   +3 more sources

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

Mapping Research Trends in AI-Based Tourism and Hospitality Marketing: A Bibliometric and Thematic Review [version 1; peer review: 2 approved]

F1000Research
Background Artificial intelligence (AI) has fundamentally transformed tourism and hospitality marketing through enhanced data-driven decision-making, personalized customer experiences, and intelligent destination management.
Pankaj Kumar Tyagi, Asokan Vasudevan, Priyanka Aggarwal, Premendra Kumar Singh, Priyanka Tyagi   +4 more
doaj   +1 more source

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo, Lidong Yang, Tiantian Xu, Dong Sun   +3 more
wiley   +1 more source

Impacto del desempeño de los estudiantes en una metodología de evaluación continua en Moodle en el examen final [PDF]

, 2017
Este trabajo examina la diferente evolución del rendimiento de los estudiantes en cuestionarios online y su impacto en la calificación final. Esta innovadora técnica se ha utilizado en un grupo de un curso introductorio de contabilidad financiera con 8 ...
Merello, Paloma, Zorio-Grima, Ana
core  

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

MusicSwarm: Biologically Inspired Intelligence for Music Composition

Advanced Intelligent Systems, EarlyView.
Biologically inspired swarms of frozen foundation models self‐organize to compose complex music without fine‐tuning. By coordinating through stigmergic signals, decentralized agents dynamically evolve specialized roles and adapt to solve complex tasks.
Markus J. Buehler
wiley   +1 more source

Characterising the Thematic Content of Image Pixels with Topologically Structured Clustering

Remote Sensing
The location of a pixel in feature space is a function of its thematic composition. The latter is central to an image classification analysis, notably as an input (e.g., training data for a supervised classifier) and/or an output (e.g., predicted class ...
Giles M. Foody
doaj   +1 more source

Computational thematics: comparing algorithms for clustering the genres of literary fiction

Humanities and Social Sciences Communications
AbstractWhat are the best methods of capturing thematic similarity between literary texts? Knowing the answer to this question would be useful for automatic clustering of book genres, or any other thematic grouping. This paper compares a variety of algorithms for unsupervised learning of thematic similarities between texts, which we call “computational
Oleg Sobchuk, Artjoms Šeļa
openaire   +3 more sources

Embedding Spatial Software Visualization in the IDE: an Exploratory Study

, 2010
Software visualization can be of great use for understanding and exploring a software system in an intuitive manner. Spatial representation of software is a promising approach of increasing interest. However, little is known about how developers interact
Erni, David, Kuhn, Adrian, Nierstrasz, Oscar   +2 more
core   +1 more source