Results 121 to 130 of about 74,008 (307)

From Waste to Value: A Data‐Driven Framework for Sustainable Raw Materials Substitution in the Ceramic Industry

Sustainable Development, EarlyView.
ABSTRACT With increasing geopolitical risks, environmental pressures, and regulatory demands, the sustainable sourcing of raw materials has become a global priority for achieving the United Nations Sustainable Development Goals (SDGs), particularly SDG 9 (Industry, Innovation and Infrastructure), SDG 12 (Responsible Consumption and Production), and SDG
Francesco Parisi, Luciana Randazzo, Davide Settembre Blundo, Isabella Ganci, Silvestro Antonio Ruffolo, Mauro Francesco La Russa   +5 more
wiley   +1 more source

Position Transmission Control in Tendon–Sheath Mechanisms: A Critical Review and a Promising Solution

SmartBot, EarlyView.
Tendon‐sheath mechanisms are widely used in various robotic systems for remote position transmission, including aerospace vehicles, flexible rescue robots, dexterous robotic hands, exoskeleton robots, soft wearable devices, industrial robots, and flexible surgical robots.
Jiaqi Li, Qian Gao
wiley   +1 more source

Brain‐Inspired Neuromorphic Device for Artificial Intelligent Robots Applications

SmartBot, EarlyView.
Brain‐inspired neuromorphic devices mimic biological systems to provide an efficient hardware foundation for embodied intelligent robotics. This review explores the material systems and corresponding computing architectures of neuromorphic devices that support low‐power perception, adaptive learning, and real‐time decision‐making.
Jiachen Han, Zheng Wang, Tianyu Wang, Jialin Meng   +3 more
wiley   +1 more source

Liposome Particle Size Prediction by In‐Line Process Analytical Technology (PAT)‐Integrated Machine Learning

Small Methods, EarlyView.
An in‐line PAT‐integrated ML strategy for microfluidic liposome synthesis accurately predicted particle size from formulation parameters and fluoresence sensing data. The model captured both seen and unseen conditions, demonstrating robust generalization and process control with low error.
Junghu Lee, Nozomi Morishita Watanabe, Noriko Yoshimoto, Seonghyeon Eom, Moon Kyu Kwak, Ho‐Sup Jung, Hiroshi Umakoshi   +6 more
wiley   +1 more source

Bath Vibration During Open Eye Formation in a Physical Model of a Steelmaking Ladle

steel research international, EarlyView.
Using a physical model, this study shows that vibration measurements reliably predict open eye size in steelmaking ladles, offering a practical alternative to visual monitoring. Vessel vibrations stabilize faster than the open eye, except at high frequencies near the bottom.
Mika Pylvänäinen, Juhani Nissilä, Ville‐Valtteri Visuri, Aki Sorsa, Matias Hauru, Jouni Laurila, Toni Liedes   +6 more
wiley   +1 more source

Balancing Accuracy and Cost: Trade‐Offs in Large Language Model Quantization for the Systems Engineering Domain

Systems Engineering, EarlyView.
ABSTRACT As Large Language Models (LLMs) are increasingly deployed within the systems engineering domain, optimizing these models to balance performance accuracy and cost for given computational resources becomes essential. One process for finding the right balance is quantization, a process that involves converting model parameters from higher ...
Ryan Bell, Raymond Madachy, Ryan Longshore   +2 more
wiley   +1 more source

Multiplex visual nucleic acid detection via isothermal cascaded transcription of fluorescent RNA aptamers

VIEW, EarlyView.
(1) Existing multiplex nucleic acid detection struggles to combine high sensitivity, visual readout, and instrument‐free use, which is vital for rapid infection and antibiotic resistance diagnosis. (2) We developed MAGIC, integrating isothermal cascaded amplification and fluorescent RNA aptamer transcription, achieving 10 aM sensitivity, 100% accuracy ...
Yu Tang, Na Luo, Binbin Xie, Jie Luo, Yaling Yuan, Junjie Fan, Zhiyong Liu, Haiyan Gao, Ming Chen, Kai Chang   +9 more
wiley   +1 more source

Intelligent Advisor System for Prescriptive Maintenance of Engineered Assets Using Failure Modes, Effects and Criticality Analysis, Knowledge Graph and Machine Learning

Artificial Intelligence for Engineering, EarlyView.
This paper presents an intelligent advisor for prescriptive maintenance that integrates FMECA, machine learning, and knowledge graphs to support fault diagnosis and root‐cause analysis. Validated on a linear actuator, the framework enhances diagnostic interpretability and traceability, linking sensor‐level anomalies to transparent knowledge‐driven ...
Hongyi Lin, Agusmian Partogi Ompusunggu
wiley   +1 more source

High-speed low-power modular arithmetic for elliptic curve cryptosystems based on the residue number system

, 2017
Shahzad Asif
openalex   +1 more source

CDFNet: Cross‐Modal Deep Fusion for Monocular 3D Semantic Scene Completion

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Semantic scene completion (SSC) aims to predict the semantic occupancy and geometry of 3D scenes. Recently, most studies focus on camera‐based approaches due to the rich visual cues of images and the cost‐effectiveness of cameras. However, these methods usually lack efficient fusion and fine‐grained processing of cross‐modal semantic ...
Xianjing Cheng, Lintai Wu, Jie Wen, Tianhao Peng, Yong Xu, Zairong Wei   +5 more
wiley   +1 more source