Results 91 to 100 of about 222,584 (313)

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker   +2 more
wiley   +1 more source

Intelligent Supportive System for People with Profound Intellectual and Multiple Disabilities

open access: yesAdvanced 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   +10 more
wiley   +1 more source

Classic-Simulation Android Based Game of Fly and Learn in Elementary School Level

open access: yesComTech, 2015
The purpose of this research is to design classic simulation game application of Fly and Learn which is a mobile gaming application based on android smartphone that aims to provide children in elementary school level to learn with ease through a game ...
Diana Diana, Dion Darmawan
doaj   +1 more source

Printed Wearable Sweat Rate Sensor for Continuous In Situ Perspiration Measurement

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A wireless wearable sweat rate sensor system is presented, featuring digital 3D direct‐write printing on a flexible substrate with microfluidic layers for continuous, real‐time monitoring. Printed encapsulated metal electrodes are used for capacitance measurements, achieving high sensitivity (0.01 μL min−1) while maintaining a compact and lightweight ...
Mohammad Shafiqul Islam   +6 more
wiley   +1 more source

Static analysis framework for permission-based dataset generation and android malware detection using machine learning

open access: yesEURASIP Journal on Information Security
Since Android is the popular mobile operating system worldwide, malicious attackers seek out Android smartphones as targets. The Android malware can be identified through a number of established detection techniques.
Amarjyoti Pathak   +2 more
doaj   +1 more source

Exploring Skill Generalization with an Extra Robotic Arm for Motor Augmentation

open access: yesAdvanced Intelligent Systems, EarlyView.
Extra robotic arms promise to augment human motor functions during multitasking. Herein, diaphragmatic‐controlled extra robotic arm (XRA) is investigated, demonstrating significant performance improvements—true functional augmentation—in trimanual tasks. However, limited generalization to tasks requiring fine motor skills is identified.
Daniel Leal Pinheiro   +5 more
wiley   +1 more source

Mężczyzna idealny

open access: yesKwartalnik Filmowy, 2000
Radkiewicz zastanawia się nad tym, co skłania naukowców do pracy nad koncepcją sztucznego człowieka. Chodzi o to, że idea (projekt) idealnego człowieka upada, gdy okazuje się, że dąży on do niezależności i ma potrzeby emocjonalne.
Małgorzata Radkiewicz
doaj   +1 more source

Real‐Time Control of a Humanoid Robot for Whole‐Body Tactile Interaction

open access: yesAdvanced Intelligent Systems, EarlyView.
Inspired by human tactile interaction, this work integrates large‐area artificial skin feedback (force and proximity) into real‐time quadratic programming control for humanoids. This enables robots to leverage distributed sensing to manage forces, safely move around unknown and dynamic obstacles, and robustly handle objects with uncertain geometry ...
Simon Armleder   +4 more
wiley   +1 more source

On‐Device Brain Tumor Classification from MR Images Using Smartphone

open access: yesAdvanced Intelligent Systems, EarlyView.
Herein, various deep learning models are trained for brain tumor classification task, and model performances are compared. The performance is further improved by using the proposed preprocessing algorithm before training. The MobileViT model, which is the best‐performing model in terms of balance between inference time and success rate, is integrated ...
Halil Ibrahim Ustun   +3 more
wiley   +1 more source

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