Results 61 to 70 of about 3,621 (255)

Light Stability of Laser‐Assisted Glass Encapsulated Perovskite Solar Cells under Different Atmospheres

open access: yesAdvanced Energy Materials, EarlyView.
This study presents a laser‐assisted glass‐frit encapsulation method for perovskite solar cells, comparing air‐, nitrogen‐, and CO2‐filled cavities. Results show that excluding oxygen and moisture significantly improves stability under illumination. The findings reveal the critical role of trapped gases in degradation, providing a pathway to durable ...
Marta Pereira   +5 more
wiley   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

open access: yesAdvanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian   +37 more
wiley   +1 more source

Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

open access: yesAdvanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella   +5 more
wiley   +1 more source

Non-intrusive load monitoring for industrial production line based on GMM-FHMM

open access: yesZhejiang dianli
Non-intrusive load monitoring plays a significant role in supporting applications such as load forecasting and demand response. To address the challenge of independently decomposing sub-equipment in industrial load users with production lines, a non ...
ZHU Liang   +5 more
doaj   +1 more source

NILMTK [PDF]

open access: yesProceedings of the 5th international conference on Future energy systems, 2014
To appear in the fifth International Conference on Future Energy Systems (ACM e-Energy), Cambridge, UK ...
Batra, Nipun   +7 more
openaire   +4 more sources

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

open access: yesAI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury   +2 more
wiley   +1 more source

Methane Generation Using an Anaerobic Biodigester From Waste Leachate Water

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Leachate wastewater (LWW) is characterized by slow biodegradation and low biogas production due to resistant materials and limited biological activity. Therefore, applying pretreatments is essential to improving biodegradation potential, which consequently boosts energy recovery.
Khairi R. Kalash   +5 more
wiley   +1 more source

Non-Intrusive Load Monitoring Based on Multiscale Attention Mechanisms

open access: yesEnergies
With the development of smart grids and new power systems, the combination of non-intrusive load identification technology and smart home technology can provide users with the operating conditions of home appliances and equipment, thus reducing home ...
Lei Yao, Jinhao Wang, Chen Zhao
doaj   +1 more source

Enhancing neural non-intrusive load monitoring with generative adversarial networks

open access: yesEnergy Informatics, 2018
The application of Deep Learning methodologies to Non-Intrusive Load Monitoring (NILM) gave rise to a new family of Neural NILM approaches which increasingly outperform traditional NILM approaches.
Kaibin Bao   +3 more
doaj   +1 more source

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