Results 101 to 110 of about 4,266 (248)

FPGA-based implementation of a tangible cubes sense using infrared communication

Ain Shams Engineering Journal
Background and motivation: The integration of tangible objects into digital environments represents a growing research frontier, addressing gaps in existing interactive and sensor technologies.
Vladimir Kasik, Martin Augustynek, Jan Kubicek, Terezie Kauzlaricova, Jaroslav Vondrak, Alice Varysova   +5 more
doaj   +1 more source

Structure‐Function Tailoring of Plasmonic Nanomaterials for Thin‐Film Photovoltaics

Carbon Energy, EarlyView.
This review discusses the mechanisms and recent advancements of plasmonics in achieving effective light management to enhance the performance of thin‐film solar cells. It highlights applications in high‐performance perovskite solar cells and future‐oriented tandem solar cells.
Sen Jiang, Wenhan Yang, Annan Zhu, Yuexin Lin, Zhaohui Xie, Ran Chen, Wenjing Zhu, Jin Liu, Yingjie Zhu, Wenye Jiang, Zhiyuan Gu, Kaiyang Wang, Shengchun Yang, Nan Zhang, Chao Liang   +14 more
wiley   +1 more source

IFDA: Intermittent Fault Diagnosis Algorithm for Augmented Cubes Under the PMC Model

Applied Sciences
Fault diagnosis technology is a crucial technique for ensuring the reliability of multiprocessor systems. Many previous studies have paid close attention to the permanent faults of systems while ignoring the rise of intermittent faults.
Chongwen Yuan, Chenghao Zou, Jiong Wu, Hao Feng, Jie Li   +4 more
doaj   +1 more source

A Review of Artificial Intelligence in Ophthalmology: Key Aspects, Challenges, and Future Directions

Eye &ENT Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is increasingly reshaping ophthalmology because the specialty depends heavily on structured imaging, quantitative measurements, and repeatable diagnostic workflows. This review provides a clinically grounded and translationally oriented synthesis of AI in ophthalmology, covering methodological foundations ...
Partha Pratim Ray
wiley   +1 more source

A Python-Based Framework for Learning-from-Demonstration in Robotic Object Sorting: Comparative Evaluation of Lightweight Classifiers

Applied Sciences
This paper presents a Python-based v3.12 framework for robotic object sorting in a virtual workcell, combining learning-from-demonstration with a comparative evaluation of classical machine learning classifiers. A user provides a minimal demonstration (e.
Marius-Valentin Drăgoi, Cozmin Adrian Cristoiu, Roxana-Mariana Nechita, Bogdan-Cătălin Navligu, Bogdan-Marian Verdete   +4 more
doaj   +1 more source

Fully automated three‐dimensional deep learning‐based magnetic resonance imaging segmentation of brain cavities in epilepsy surgery

Epilepsia, EarlyView.
Abstract Objective There are several clinical and research applications for determining the amount of brain tissue resected after epilepsy surgery; however, manual segmentation of postoperative magnetic resonance imaging (MRI) is imprecise and time‐consuming.
Raphael Fernandes Casseb, Brunno Machado de Campos, Wallace Souza Loos, Marcelo Eduardo Ramos Barbosa, Marina Koutsodontis Machado Alvim, Gabriel Chagas Lutfala Paulino, Enrico Ghizoni, Francesco Pucci, Samuel Worrell, Clarissa Lin Yassuda, Roberto Medeiros de Souza, Lara Jehi, Fernando Cendes   +12 more
wiley   +1 more source

Rational design of Ni‐based catalysts for methane dry reforming: Recent advances and future perspectives

FlexMat, EarlyView.
Addressing the challenges inherent in dry reforming of methane (DRM), this paper focuses on the structural design and performance optimization of Ni‐based catalysts. The modulation strategies for DRM are systematically reviewed across four dimensions: the micromorphology of active metals, metal‐support interactions, electronic modifications by ...
Bowei Cao, Junlei Zhang, Wanglei Wang
wiley   +1 more source

Facet‐engineered BiSI nanorods for intelligent distinguishing detection of NO2/H2S mixed gas

InfoMat, EarlyView.
Mixed toxic gases such as NO2 and H2S can threaten safety in coal mines and industrial settings, but it is still difficult to monitor them accurately with a simple sensor. In this work, we improved a BiSI‐based room‐temperature gas sensor through crystal facet engineering and combined it with machine learning so that one sensor could distinguish mixed ...
Zhenze Zhou, Juanyuan Hao, Dan Shi, Haoxin Lei, Dianpeng Qi   +4 more
wiley   +1 more source

Augmented Reality of Anatomical Structures of the Maxillomandibular Complex for Learning Dental Radiographic Techniques

Journal of Dental Education, EarlyView.
ABSTRACT Introduction Augmented reality (AR) enables interactive learning in real‐world environments. In dental radiography education, AR offers a promising tool to enhance students' clinical skills by allowing them to simulate and practice procedures before engaging with actual patients. Repeated practice in an AR environment can reinforce theoretical
Maitê Michel Piazza Willig, Mariana Boessio Vizzotto, Henrique Timm Vieira, Priscila Fernanda da Silveira Tiecher, Thiago de Oliveira Gamba, Nádia Assein Arús, Luis Ernesto Arriola‐Guillén, Heraldo Luís Dias da Silveira   +7 more
wiley   +1 more source

Systematic Review of AI‐Driven Applications for Screening Nasopharyngeal Carcinoma Using MRI

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Nasopharyngeal carcinoma (NPC) can be detected early on MRI, but adoption for screening is limited by a shortage of experienced specialists. MRI artificial intelligence (AI) algorithms for diagnosing NPC in the literature may address this, but most studies focus on routine clinical care, and their applicability in screening requires
Lun M. Wong, Ho Sang Leung, Zuyao Yang, Yip Man Tsang, Yuet Ting Chan, Tiffany Y. So, Ann D. King, Qi Yong H. Ai   +7 more
wiley   +1 more source