Results 131 to 140 of about 208,635 (216)

Classification of walking speed based on bidirectional LSTM

open access: yes, 2022
Walking speed is a powerful predictor of health events which are related to musculoskeletal disorder and mental disease. One of the established computerized technique which employed to perform the gait analysis is motion analysis system.
Low, Wan Shi   +4 more
core  

Multiscale Coupling From Mastication to Retronasal Aroma Perception: The PG‐DTCFN Model and Multiphysics Simulation

open access: yesAdvanced Science, Volume 13, Issue 55, 5 October 2026.
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen   +12 more
wiley   +1 more source

Multimodal Stacked Bidirectional LSTM 구조를 활용한 거리 센서 기반의 3D 위치 인식

open access: yes, 2018
In this paper, we propose the multimodal stacked bidirectional LSTM that takes range-only measurements as input and outputs robot's position by end-to-end mapping. Out proposed neural networks receive multimodal range measurements.
이준석   +4 more
core  

Multimodal Video Summarization Using Vision‐Language Embeddings and Hierarchical Temporal Modeling

open access: yesApplied AI Letters, Volume 7, Issue 3, October 2026.
Combining BLIP‐2 image captions with CLIP vision–language embeddings gives video frames semantic meaning that pixels alone cannot convey. Processed by a multi‐scale temporal U‐Net and hierarchical shot‐aware transformer, these multimodal features achieve a state‐of‐the‐art 59.27% F1‐score on SumMe using only 28.27M parameters.
Saadman Sakib, Kaushik Deb
wiley   +1 more source

A Multimodal Deep Learning Based Framework for Early and Accurate Diagnosis of Depression Using Electroencephalography and Event‐Related Potential Signals

open access: yesApplied AI Letters, Volume 7, Issue 3, October 2026.
Cross Wavelet Transform (XWT) is combined with a pre‐trained AlexNet to extract rich time‐frequency features from non‐stationary EEG signals. Also, the proposed framework simultaneously extracts and integrates spatial (Node2vec), time‐frequency (XWT + AlexNet), and spectral (PSD + TSCN) features from EEG and ERP signals within a parallel architecture ...
Atefeh Abedzadeh Attar   +2 more
wiley   +1 more source

Image captioning using bidirectional LSTM neural network

open access: yesDiscover Artificial Intelligence
Automatic image captioning is a crucial task in image processing and machine vision, where images are segmented into regions, and captions are assigned based on shared attributes.
Farnaz Hoseini, Anaram Yaghoobi Notash
doaj   +1 more source

Sentiment Analysis of Imbalanced Dataset Through Data Augmentation and Generative Annotation Using DistilBERT and Low‐Rank Fine‐Tuning

open access: yesApplied AI Letters, Volume 7, Issue 3, October 2026.
The proposed model takes an imbalanced English dataset as input and balances it by Generating Synthetic Tweets (GST) using GPT‐based paraphrasing. These new tweets are then annotated with one of 10 categorical labels representing their primary meaning, using another large language model like GPT.
Hossein Nekouei   +1 more
wiley   +1 more source

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