Results 91 to 100 of about 7,124,551 (244)

LLM‐Based Multimodal Robotic Endoscope Control Framework for Enhancing Human–Robot Interaction in Minimally Invasive Surgery

Advanced Intelligent Systems, EarlyView.
An large language model‐powered multimodal framework is developed for robotic endoscope control. It integrates speech recognition and real‐time instrument tracking, achieving 89.47% command accuracy with ~1s latency for natural human–robot interaction in minimally invasive surgery.
Yisen Huang, Wing Yin Ng, Qi Dou, Xixin Wu, Shannon Melissa Chan, Yunhui Liu, Philip Wai Yan Chiu, Zheng Li   +7 more
wiley   +1 more source

A Tiny Machine Learning Model for Point Cloud Object Classification

APSIPA Transactions on Signal and Information Processing, 2023
Min Zhang, Jintang Xue, Pranav Kadam, Hardik Prajapati, Shan Liu, C.-C. Jay Kuo   +5 more
doaj   +1 more source

Deep feature optimization for enhanced fish freshness assessment

Ecological Informatics
Assessing fish eye freshness is vital for ensuring food safety and minimizing economic losses in the seafood industry. However, traditional sensory evaluation methods remain subjective, time-consuming, and inconsistent.
Phi-Hung Hoang, Nam-Thuan Trinh, Van-Manh Tran, Thi-Thu-Hong Phan   +3 more
doaj   +1 more source

Cross‐Sectoral AI Integration Is Essential to Tackling Food Waste and Food Insecurity: A Roadmap for Developing Resilient Food Systems

Advanced Intelligent Systems, EarlyView.
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad, Hannah Mann, Lubna Najm, Shadman Khan, Carlos D. M. Filipe, Tohid F. Didar   +5 more
wiley   +1 more source

Radiative Hybrid Nanofluid Flow Over a Porous Riga Surface: A Fuzzy–ANN Modeling Approach

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study proposes a fuzzy–ANN model to investigate the nonlinear thermal transport in a tangent hyperbolic (Tanh) hybrid nanofluid flow past a porous Riga surface, considering the effects of Rosseland diffusion, chemical reactions, and internal volumetric heating.
Azad Hussain, Rabia Zetoon, Reeha Iqbal
wiley   +1 more source

Enhanced Diabetes Detection and Blood Glucose Prediction Using TinyML-Integrated E-Nose and Breath Analysis: A Novel Approach Combining Synthetic and Real-World Data

Bioengineering
Diabetes mellitus, a chronic condition affecting millions worldwide, necessitates continuous monitoring of blood glucose level (BGL). The increasing prevalence of diabetes has driven the development of non-invasive methods, such as electronic noses (e ...
Alberto Gudiño-Ochoa, Julio Alberto García-Rodríguez, Jorge Ivan Cuevas-Chávez, Raquel Ochoa-Ornelas, Antonio Navarrete-Guzmán, Carlos Vidrios-Serrano, Daniel Alejandro Sánchez-Arias   +6 more
doaj   +1 more source

Optimized Wavy Thermal Radiative Analysis of Electrochemically Ternary Hybrid Nanomaterials Affected by an Induced Magnetic Force: An ANN‐Based Levenberg–Marquardt Backpropagation Approach

Advanced Physics Research, EarlyView.
This diagram illustrates the wavy flow configuration of the model in a Cartesian coordinate system. It represents the heat and mass transfer characteristics of ternary hybrid nanofluids over a vertically wavy surface in the presence of an induced magnetic field and double‐diffusive mixed convection.
Latif Ahmad, Saleem Javed, Umair Khan, Muhammad Iqbal, Syed Modassir Hussain   +4 more
wiley   +1 more source

A MXene-bridged triboelectric sensor for tinyML-empowered joint biomechanics

Nano Research
Despite the increasing prevalence of wearable flexible sensors for human joint biomechanics, challenges, such as limited intelligence capacity, insufficient sensitivity, and power constraints, limit their practical application.
Guiying Wang, Xinzhi Liu, Yiqun Wang, Fuzhen Xuan, Bowei Zhang, Xiaofeng Wang   +5 more
doaj   +1 more source

Arthroscopic Images Predict Tendon Integrity After Arthroscopic Rotator Cuff Repair Using a Deep Learning Model

Arthroscopy, EarlyView.
Purpose To assess the feasibility of a deep learning model for predicting early structural integrity after arthroscopic rotator cuff repair (ARCR) using intraoperative arthroscopic images obtained after the double‐row bridging repair technique. Methods This retrospective study included patients who underwent ARCR between January 2016 and June 2024 ...
Kuan‐Ting Wu, Angelo Mosca, Shun‐Wun Jhan, Shu‐Mei Guo, Jenn‐Jier James Lien, Johannes Barth   +5 more
wiley   +1 more source

Effective and adaptive tiny machine learning

DOTTORATONegli ultimi anni, il Tiny Machine Learning (TinyML) e' emerso come il ramo della ricerca sul Machine Learning che studia l'esecuzione di modelli di Machine e Deep Learning (MDL) su dispositivi estremamente limitati in termini di memoria ...
Pavan, Massimo
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