Results 111 to 120 of about 5,012,951 (306)
Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Hybrid Feature Selection Method Based on Harmony Search and Naked Mole-Rat Algorithms for Spoken Language Identification From Audio Signals [PDF]
, 2020 S. Guha +5 more
openalex +1 more source
Distortion Audio Effects: Learning How to Recover the Clean Signal [PDF]
, 2022 Johannes Imort +5 more
openalex +1 more source
Advanced Intelligent Systems, EarlyView.This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari +6 more
wiley +1 more source
Intelligent Supportive System for People with Profound Intellectual and Multiple Disabilities
Advanced Intelligent Systems, EarlyView.A holistic INSENSION system is developed—a novel intelligent decision support system leveraging state‐of‐the‐art noninvasive audio‐visual sensor technologies together with machine learning algorithms and expert knowledge, to detect and interpret behaviors and communications (nonverbal signals—NVSs) of people with PIMD in challenging real‐world ...
Gašper Slapničar +10 more
wiley +1 more source
Journal of Computing Research and Innovation, 2018 Noise reduction in audio is a process of minimizing the presence of noise in the audio signal. Noise reduction approach helps user understand how to remove noise from the signal.
Zulfikri Paidi, Nurhasyimah Idrus
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Adapting Image‐Based Models for 1D Data via Spider Plot Transformation and Transfer Learning
Advanced Intelligent Systems, EarlyView.A novel method enables the use of pretrained image‐based neural networks for complex 1D data, including Raman and mid‐infrared spectra, electrocardiograms, and mass spectrometry. 2D spider plots with false‐color fill enable transfer lerning, therefore enhancing data augmentation and model explainability across diverse spectral and time series datasets.
Azadeh Mokari +2 more
wiley +1 more source
End‐to‐End Attention‐Enhanced Transformer for Image Captioning in Biomimetic Wearable Devices
Advanced Intelligent Systems, EarlyView.This work proposes an attention‐enhanced transformer for image captioning, improving multiregion feature representation and future‐context decoding, achieving 2.1 CIDEr gain and real‐time performance on wearables with low memory and power, ideal for edge deployment in biomimetic visual assistance.
Yongyang Yin, Hengyu Cao, Jun Lin
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This review outlines how recurrent neural networks model multisensory integration by capturing temporal and probabilistic features of sensory input. Key developments, challenges, and future directions are summarized, providing insights into biologically inspired AI. Multisensory integration (MSI) is a core brain function underlying perception, learning,
Ehsan Bolhasani +2 more
wiley +1 more source