Results 141 to 150 of about 161,068 (368)

A systematic survey: role of deep learning-based image anomaly detection in industrial inspection contexts

Frontiers in Robotics and AI
Industrial automation is rapidly evolving, encompassing tasks from initial assembly to final product quality inspection. Accurate anomaly detection is crucial for ensuring the reliability and robustness of automated systems.
Vinita Shukla, Amit Shukla, Surya Prakash S. K., Shraddha Shukla   +3 more
doaj   +1 more source

Anomaly Detection Meta-Analysis Benchmarks [PDF]

This article provides a thorough meta-analysis of the anomaly detection problem. To accomplish this we first identify approaches to benchmarking anomaly detection algorithms across the literature and produce a large corpus of anomaly detection benchmarks
Emmott, Andrew, Das, Shubhomoy, Wong, Weng-Keen, Fern, Alan, Dietterich, Thomas   +4 more
core  

Extraordinary n‐type Tellurium‐Free Thermoelectric Performance of Y‐Doped BiSe via Synergistic Effect of Vacancies and Band Engineering

Advanced Functional Materials, EarlyView.
Yttrium doping in Sb‐alloyed BiSe synergistically induces Bi vacancies and flattens conduction bands, simultaneously slashing lattice thermal conductivity by 50% and boosting the power factor. The optimized n‐type Bi0.64Sb0.3Y0.06Se delivers a peak zT of 0.91 at 393 K (average zT 0.76, 300–523 K) and an 8‐pair module with 4.6% conversion efficiency ...
Wenhao Xie, Fang Lyu, Xiaolong Sun, Chang Li, Xiaolu Zhu, Liangwei Hu, Qianfeng Ding, Wenjie Zhou, Muyang Huang, Yineng Gou, Yi Zhao, Han Tang, Wei Cao, Yue Hou, Yun Zheng, Ady Suwardi, Ziyu Wang   +16 more
wiley   +1 more source

Impact of Disorder on Microscopic Superconducting and Normal‐State Responses in a Kagome Metal

Advanced Functional Materials, EarlyView.
Using depth‐resolved, field‐ and pressure‐dependent μSR$\umu{\rm SR}$ measurements, we show that disorder in Ta‐doped KV3Sb5 drives a crossover from nodal to nodeless superconductivity while strongly modifying the normal‐state magnetic response. Our results reveal that disorder affects superconductivity and magnetism in fundamentally different ways ...
J. N. Graham, S. S. Islam, G. Janka, A. Doll, P. Král, O. Gerguri, J. A. Krieger, T. J. Hicken, X. Xu, X. Yan, H. Qin, Z. Salman, A. Suter, T. Prokscha, R. Thomale, H. Luetkens, R. Khasanov, J.‐X. Yin, Z. Guguchia   +18 more
wiley   +1 more source

ATMSim: An Anomaly Teletraffic Detection Measurement Analysis Simulator [PDF]

, 2014
Over the last few years, the quantity of teletraffic is rapidly growing because of the explosive increase of Internet users and its applications. The needs of collection, storage, management, analysis, and measurement of the subsequent teletraffic have ...
이종숙
core  

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Explainable anomaly detection for electric vehicles’ charging stations [PDF]

reservedL’anomaly detection è il processo di identificazione di dati che si discostano sig- nificativamente da un comportamento ritenuto normale. Questa tesi esplora e analizza metodologie e tecniche per la rilevazione di anomalie, esaminandone dif ...
MAZZUCCO, ANDREA
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AI-Based Multimodal Anomaly Detection for Industrial Machine Operations [PDF]

In the manufacturing process involving grinding wheels, challenges in fine-tuning grinding machines are typically addressed by craftsmen through subjective observations of sparks and sounds. However, most current anomaly detection methods mainly aim at a
Zhang, Qiaoyun;Chang, Hsiang-Chuan;Ho, Chia-Ling;Keh, Huan-Chao;Roy, Diptendu Sinha
core   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Detection of insulin pump occlusions using unsupervised and weakly-supervised anomaly detection approaches. [PDF]

openQuesta tesi affronta il problema del riconoscimento delle occlusioni del microinfusore di insulina nei pazienti con T1D. Questa condizione può compromettere la gestione della malattia e la qualità della vita dei pazienti.
FERRONATO, FRANCESCO
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