Results 161 to 170 of about 442,254 (313)

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

A new method based on AVOA-optimized support vector machine for predicting performance characterisitcs during turning aluminium 7068 under graphene nanofluid. [PDF]

Sci Rep
Shrotriya A, Nayak C, Patel G, Khan MI, Pathak VK.   +4 more
europepmc   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

A Model for Identifying the Fermentation Degree of Tieguanyin Oolong Tea Based on RGB Image and Hyperspectral Data. [PDF]

Foods
Huang Y, Chen Y, Li C, Wang T, Zheng C, Zhao J.   +5 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Tax Evasion Prediction Using Financial Ratios and Machine Learning: A Hybrid Model Based on MLP, Naive Bayes, SVM, and Harmony Search Optimization [PDF]

MAHA MOHEY Elweshihy, Samir Mahmoud Saleh   +1 more
openalex   +1 more source

A Hybrid CNN-SVM Approach for ECG-Based Multi-Class Differential Diagnosis of PTSD, Depression, and Panic Attack. [PDF]

Biosensors (Basel)
Ebrahimpour Moghaddam Tasouj P, Soysal G, Eroğul O, Yetkin S.   +3 more
europepmc   +1 more source

Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley   +1 more source

Direct Vector Control of a DFIG Supplied by an Intelligent SVM Inverter for Wind Turbine System

, 2019
Habib Benbouhenni, Zinelaabidine Boudjema, A. Belaidi   +2 more
openalex   +1 more source

Hyperparameter Tuning for Optimizing Stunting Classification with KNN, SVM, and Naïve Bayes Algorithms

Wawan Firgiawan, Dita Yustianisa, Nurrahmi Afiah Nur, Gabrelia Gabrelia   +3 more
openalex   +1 more source