Results 111 to 120 of about 11,734,216 (296)
Voice Disorder Detection Using Long Short Term Memory (LSTM) Model
CoRR, 2018 Automated detection of voice disorders with computational methods is a recent research area in the medical domain since it requires a rigorous endoscopy for the accurate diagnosis. Efficient screening methods are required for the diagnosis of voice disorders so as to provide timely medical facilities in minimal resources. Detecting Voice disorder using
openaire +2 more sources
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Advanced Intelligent Discovery, EarlyView.Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Early detection of preeclampsia using ambulatory blood pressure monitoring using wearable devices and long short term memory networks (LSTM-NN) on the edge [PDF]
, 2020 The study explores the use of wearable devices for ambulatory blood pressure data collection, for use in blood pressure prediction/forecasting using Long Short Term Memory (LSTM) recurrent neural networks (RNN) on mobile devices.
Kimeto, Pamela, Thiga, Moses M
core +1 more source
Intrinsically sparse long short-term memory networks [PDF]
, 2019 Long Short-Term Memory (LSTM) has achieved state-of-the-art performances on a wide range of tasks. Its outstanding performance is guaranteed by the long-term memory ability which matches the sequential data perfectly and the gating structure controlling ...
Liu, Shiwei +2 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin +4 more
wiley +1 more source
A Generative AI Framework to Predict Cardiomyocyte Contraction Function From Single Static Images
Advanced Intelligent Discovery, EarlyView.A single static hiPSC‐cardiomyocyte image is fed into a U‐Net‐GAN framework, which directly predicts a pixel‐resolved contraction heatmap without time‐lapse imaging. StyleGAN2‐generated synthetic cell–heatmap pairs augment training, improving prediction fidelity (SSIM = 0.84).
Andrew Kowalczewski +5 more
wiley +1 more source
Rational Molecular Design to Improve Digital Polymer Readout in Aerolysin‐Based Nanopore Sequencing
Angewandte Chemie, EarlyView.Nanopore sensing holds significant yet underexplored potential for decoding synthetic digital polymers. In this study, we synthesized an extensive library of sequence‐defined poly(phosphodiester)s and evaluated their performance in aerolysin‐based sequencing. By systematically optimizing molecular parameters, we identified an ideal combination of coded
Zhaozheng Yang +9 more
wiley +2 more sources
, 1995 "Recurrent backprop" for learning to store information over extended time periods takes too long. The main reason is insufficient, decaying error back flow. We describe a novel, efficient "Long Short Term Memory" (LSTM) that overcomes
Sepp Hochreiter +8 more
core +1 more source
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
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao +5 more
wiley +1 more source