Results 81 to 90 of about 31,169 (266)

MultiModal Emotional Recognition by Artificial Intelligence and its Application in Psychology [PDF]

Majallah-i dānishgāh-i ̒ulūm-i pizishkī-i Arāk
Introduction: Nowadays, the use of artificial intelligence and machine learning has impacted all fields of study. Utilizing these methods for identifying individuals' emotions through integrating audio, text, and image data has shown higher accuracy than
Seyed Sadegh Hosseini, Mohammad Reza Yamaghani   +1 more
doaj  

An Optimized Hybrid Deep Learning Approach for Accurate Fruit Image Classification

JOIV: International Journal on Informatics Visualization
The field of fruit classification in computer and machine vision is growing rapidly. However, numerous deep learning approaches have been introduced for image classification, but they often encounter challenges that must be addressed.
Hasanain H. Razzaq, Laith F. M. H. Al-Rammahi, Asraa Mounaf Almousawy, Muhammad Zulqarnain   +3 more
doaj   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Comparative evaluation of deep learning and machine learning techniques for sentiment analysis of electronic product review data [PDF]

ITM Web of Conferences
The primary thoughts, perceptions, attitudes, feedback, and even emotions expressed by people on social networking and e-commerce sites are the primary focus of sentiment analysis also referred to as opinion mining.
Nagelli Archana, Saleena B., Prakash B.
doaj   +1 more source

Interpretable Short‐Term Electric Load Forecasting

Advanced Intelligent Systems, EarlyView.
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola, Giorgia Ghione, Vincenzo Randazzo, Vincenzo Franzitta, Marco Badami, Eros Pasero, Giansalvo Cirrincione   +6 more
wiley   +1 more source

Prediction Analysis of Greeting Gestures Based on Recurrent Neural Networks

JOIV: International Journal on Informatics Visualization
Human activity recognition, such as rehabilitation, sports, human behavior, etc., is developing rapidly. A Recurrent Neural Network (RNN) is a practical approach to human activity recognition research and sequential data.
Angga Wibowo, - Kurnianingsih, Eri Sato-Shimokawara   +2 more
doaj   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source

Pharmacokinetics and safety of tezepelumab in children with mild, moderate or severe asthma and adolescents with mild‐to‐moderate asthma

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aim Tezepelumab is a human monoclonal antibody that blocks the activity of thymic stromal lymphopoietin and is approved for adolescents and adults with severe asthma. This analysis assessed pharmacokinetics (PK), pharmacodynamics and safety of tezepelumab up to 85 days postdose in adolescents and children.
Anna Lundahl, Jonathan Grigg, Lubna Abuqayyas, Piotr Kuna, Gillian Hunter, Beata Pawlikowska, Jacob Leander, Michael Levin, Atul Gupta, James Paton, Katharine C. Pike, Jane R. Parnes, Gun Almqvist, Stephanie L. Roseti, on behalf of the study investigators   +14 more
wiley   +1 more source

Сучасні методи та засоби роботи з часовими рядами

Nauka ta progres transportu
Мета. Провести структурований аналіз та класифікацію сучасних методів і моделей, що застосовуються для роботи з часовими рядами різної природи. При цьому була приділена увага не тільки типовими ознаками та родом обчислень, а й виділенням предметної ...
A. A. Zhadan, V. I. Shynkarenko
doaj   +1 more source