Results 51 to 60 of about 63,611 (263)

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, Michał Kosiedowski, Arkadiusz Radziuk, Erik Dovgan, Torsten Hammann, Meike Engelhardt, Christin Kupitz, Carmen Campomanes‐Alvarez, Dorota Janczewska, Peter Zentel, Mitja Luštrek   +10 more
wiley   +1 more source

Recognition of Warping Face Image and Morphing Face Image of Two Warping Image Using Hidden Markov Model [PDF]

المجلة العراقية للعلوم الاحصائية, 2011
In this paper, using algorithm models of Hidden Markov models, it has been concluded that the possibility of recognizing the warp face and the morph face the image real departments face on recognizing object.
doaj   +1 more source

Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology

Advanced Intelligent Systems, EarlyView.
This review explores the latest artificial intelligence (AI) technologies in ophthalmology, focusing on four key data types: medical imaging, electronic health records, robotic‐assisted surgery, and genomics. It examines the structural features, use cases, clinical goals, and evaluation metrics of various AI algorithms, while also introducing emerging ...
Shiqi Yin, Lei Wang, Shanjun Wu, Jiewei Jiang, Wei Qiang, Yangyang Wang, Shihong Wang, Yi Shao, Wei Chen, Zhongwen Li   +9 more
wiley   +1 more source

UTILIZING DISCRETE HIDDEN MARKOV MODELS TO ANALYZE TETRAPLOID PLANT BREEDING

Jurnal Matematika UNAND
In plant heredity, the phenotype is the result of observation that can be directly observed, while the genotype is the underlying hidden factor that underlies the expression of the phenotype.
Nahrul Hayati, Eko Sulistyono, Vitri Aprilla Handayani   +2 more
doaj   +1 more source

Computational Models of Multisensory Integration with Recurrent Neural Networks: A Critical Review and Future Directions

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, Seyed Hamed Aboutalebi, Yaser Merrikhi   +2 more
wiley   +1 more source

Multiple Unmanned Aerial Vehicle Formation Control through Deep Reinforcement Learning with Offline Sample Correction

Advanced Intelligent Systems, EarlyView.
Herein, a deep reinforcement learning‐based multi‐UAV formation control approach is proposed. By optimizing the utilization of historical data through correcting of offline samples, the past experience is better leveraged and learning performance is improved.
Zhongkai Chen, Han Zhou, Chao Yan, Yihao Sun, Xiaojia Xiang   +4 more
wiley   +1 more source

Multiobjective Environmental Cleanup with Autonomous Surface Vehicle Fleets Using Multitask Multiagent Deep Reinforcement Learning

Advanced Intelligent Systems, EarlyView.
This study presents a multitask strategy for plastic cleanup with autonomous surface vehicles, combining exploration and cleaning phases. A two‐headed Deep Q‐Network shared by all agents is traineded via multiobjective reinforcement learning, producing a Pareto front of trade‐offs.
Dame Seck, Samuel Yanes, Manuel Perales, Daniel Gutiérrez, Sergio Toral   +4 more
wiley   +1 more source

Forecasting New Cases of Bipolar Disorder Using Poisson Hidden Markov Model

International Clinical Neuroscience Journal, 2018
Background: Bipolar disorder (BD) is a major public health problem. In time series count data there may be over dispersion, and serial dependency. In such situation some models that can consider the dependency are needed. The purpose current research was
Behnaz Alafchi, Saeid Yazdi-Ravandi, Roya Najafi-Vosough, Ali Ghaleiha, Majid Sadeghifar   +4 more
doaj   +1 more source

Large Language Model‐Embedded Intelligent Robotic Scrub Nurse with Multimodal Input for Enhancing Surgeon–Robot Interaction

Advanced Intelligent Systems, EarlyView.
A large language model (LLM)‐powered multimodal robotic scrub nurse control framework is proposed for enhancing human–robot interaction. Inside, the vision module gives out instrument class, location, and occlusion relationship. Speech module captures and converts user's speech commands.
Wing Yin Ng, Wanyu Ma, Pheng Ann Heng, Philip Wai Yan Chiu, Zheng Li   +4 more
wiley   +1 more source

EMOTION RECOGNITION FROM HEART RATE VARIABILITY WITH A HYBRID SYSTEM COMBINED HIDDEN MARKOV MODEL AND POINCARE PLOT

Applied Computer Science
The best emotion recognition system based on physiological signals with a simple operatory should have higher accuracy and fast response speed. This paper aims to develop an emotion recognition system using a novel hybrid system based on Hidden Markov ...
Sahar ZAMANI KHANGHAH, Keivan MAGHOOLI
doaj   +1 more source