Results 101 to 110 of about 9,406 (224)

Three Synchronized, Miniaturized, Wireless Inertial Measurement Unit Sensors for Automated Gait and Balance Analysis System

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a compact, three IMU wearable system that enables accurate motion capture and robust gait‐feature extraction, thereby supporting reliable machine learning‐based balance evaluation. Accurate assessment of balance is critical for fall prevention and targeted rehabilitation, particularly in older adults and individuals with ...
Seok‐Hoon Choi   +8 more
wiley   +1 more source

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari   +2 more
wiley   +1 more source

Optisense: Computational Optimization for Strain Sensor Placement in Wearable Motion Tracking Systems

open access: yesAdvanced Intelligent Systems, EarlyView.
A computational framework for optimizing strain sensor placement in wearable motion tracking systems is presented. By combining dense strain mapping with a genetic algorithm, the method discovers counterintuitive yet highly effective configurations that reduce joint angle error by 32%.
Minu Kim   +4 more
wiley   +1 more source

Nonplanar Atomic Layer Deposition (ALD)‐Niobium Oxide (NbOx) Neurons for Oscillatory Neural Network Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
This article presents a nonplanar niobium oxide (NbOx) neuron device fabricated using an atomic layer deposition (ALD) method for use in oscillatory neural networks (ONNs). Potentially, such nonplanar geometry allows for high‐density arrays. The desired threshold switching (TS) characteristics are achieved through an interfacial method using a thin ...
Jaehyun Moon   +6 more
wiley   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi   +3 more
wiley   +1 more source

SciLitMiner: An Intelligent System for Scientific Literature Mining and Knowledge Discovery

open access: yesAdvanced Intelligent Systems, EarlyView.
SciLitMiner is an intelligent system that federately ingests scientific literature, filters it using advanced information retrieval methods, and applies retrieval‐augmented generation tailored to scientific domains. Demonstrated on creep deformation in γ‐TiAl alloys, SciLitMiner provides a controlled workflow for systematic knowledge discovery and ...
Vipul Gupta   +3 more
wiley   +1 more source

Language‐Guided Robot Grasping Based on Basic Geometric Shape Fitting

open access: yesAdvanced Intelligent Systems, EarlyView.
This article presents a language‐guided, model‐free grasping framework that integrates multimodal perception with primitive‐based geometric fitting. By explicitly modeling object geometry from RGB‐D data, the method enables semantically controllable grasp pose generation and achieves robust performance in both structured and cluttered real‐world ...
Qun Niu   +5 more
wiley   +1 more source

Skeletal Muscle Biomarkers of Amyotrophic Lateral Sclerosis: A Large‐Scale, Multi‐Cohort Proteomic Study

open access: yesAnnals of Neurology, EarlyView.
Objective Biomarkers with clear contexts of use are important tools for amyotrophic lateral sclerosis (ALS) therapy development. Understanding their longitudinal trajectory in the untreated state is key to their use as potential markers of pharmacodynamic response.
Oleksandr Dergai   +16 more
wiley   +1 more source

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