Results 51 to 60 of about 1,179 (139)

Fibroblast Transcriptomics in Molecular Diagnostics of a Comprehensive Dystonia Cohort

Annals of Neurology, Volume 99, Issue 6, Page 1363-1378, June 2026.
Objective Genomic sequencing leaves >50% of dystonia‐affected individuals without a diagnosis. Where DNA‐oriented approaches remain insufficient, integrating multiomics is essential to advance genome interpretation. Herein, we incorporated RNA sequencing (RNA‐seq) data from 167 patients with dystonia across a range of ages and presentations. Methods We
Alice Saparov, Ivana Dzinovic, Theresa Brunet, Vicente A. Yépez, Florian Hölzlwimmer, Elisabetta Indelicato, Birgit Assmann, Susann Badmann, Diana Ballhausen, Steffen Berweck, Felix Brechtmann, Melanie Brugger, Kevork Derderian, Felix Distelmaier, Philip Harrer, Denisa Harvanova, Petra Havrankova, Ann‐Kathrin Jaroszynski, Miriam Kolnikova, Robert Kopajtich, Anne Koy, Magdalena Krygier, Lukas Kunc, Katarina Kusikova, Oliver Maier, Maria Mazurkiewicz‐Bełdzińska, Christian Mertes, Ava Oberlack, Timo Roser, Alexandra Sitzberger, Ugo Sorrentino, Antonia M. Stehr, Katharina Vill, Matias Wagner, Holger Prokisch, Sylvia Boesch, Jan Necpal, Robert Jech, Juliane Winkelmann, Elisabeth Graf, Julien Gagneur, Matej Skorvanek, Michael Zech   +42 more
wiley   +1 more source

Sysmon event logs for machine learning-based malware detection

Cyber Security and Applications
Malware poses a significant threat to modern computing environments, necessitating advanced detection techniques that can adapt to evolving attack methods.
Riki Mi’roj Achmad, Dyah Putri Nariswari, Baskoro Adi Pratomo, Hudan Studiawan   +3 more
doaj   +1 more source

An Improved Forward-Looking Sonar 3D Visualization Scheme of Underwater Objects

IEEE Access, 2019
This paper presents an improved scheme for forward-looking sonar (FLS) visualization, including an echo acquisition method, a global threshold based on local outlier factor and a reconstruction method.
Teng Zeng, Chunhua Zhang, Yong Huang, Peng Wang   +3 more
doaj   +1 more source

Whole Genome Sequence Analysis of Weight Loss in 16 972 Participants With COPD Reveals Novel Risk Loci in DRAIC and RFX3

Journal of Cachexia, Sarcopenia and Muscle, Volume 17, Issue 3, June 2026.
ABSTRACT Background Chronic obstructive pulmonary disease (COPD) is associated with musculoskeletal comorbidities, including cachexia. Weight loss (WL) is the major criterion for cachexia and increases risk for mortality in COPD. Risk factors for WL in COPD are incompletely understood.
Joe W. Chiles III, Alison Rocco, Vinodh Srinivasasainagendra, Harry B. Rossiter, Richard Casaburi, Anna Thalacker‐Mercer, J. Michael Wells, Emily S. Wan, Edwin K. Silverman, Michael H. Cho, Craig P. Hersh, Bruce M. Psaty, Sina A. Gharib, Yan Gao, George T. O'Connor, Leslie A. Lange, Stephen S. Rich, Ani W. Manichaikul, R. Graham Barr, Victor E. Ortega, Deborah A. Meyers, Albert V. Smith, Hemant K. Tiwari, Merry‐Lynn N. McDonald   +23 more
wiley   +1 more source

HLoOP—Hyperbolic 2-Space Local Outlier Probabilities

IEEE Access
Hyperbolic geometry has recently garnered considerable attention in machine learning due to its ability to embed hierarchical graph structures with low distortions for further downstream processing.
Clemence Allietta, Jean-Philippe Condomines, Jean-Yves Tourneret, Emmanuel Lochin   +3 more
doaj   +1 more source

Physical Layer Detection of Malicious Relays in LTE-A Network Using Unsupervised Learning

IEEE Access, 2020
For Long Term Evolution Advanced (LTE-A) network, although there exist many studies that focus on improving the performance with relays, security issues are often neglected.
Yeliz Yengi, Adnan Kavak, Huseyin Arslan
doaj   +1 more source

Residual Life Assessment of Oil‐Immersed Insulating Paper by FTIR Feature Interpretability Evolution

High Voltage, Volume 11, Issue 3, Page 761-770, June 2026.
ABSTRACT The ageing of insulating paper escalates the peril of insulation failure in oil‐impregnated‐paper power equipment. Consequently, the real‐time monitoring and non‐destructive assessment of insulating paper condition assume paramount significance.
Guangyi Liu, Yanan Liu, Chen Zhang, Jian Li, Zhengyong Huang, Feipeng Wang, Huaqiang Li, Jinghui Gao, Lisheng Zhong   +8 more
wiley   +1 more source

Hybrid Sampling and Ensemble Learning for Food Safety Sampling Inspection Classification

Journal of Food Protection
Food safety sampling inspection is critical for risk prevention in complex supply chains. However, extreme class imbalance, where unqualified samples are significantly outnumbered by qualified ones, biases machine learning (ML) models to prioritize ...
Ke Qin, Xiaoting Dai, Linhai Wu
doaj   +1 more source

MONITORING AND DIAGNOSING FAULTS IN ONLINE MODE USING TIME SERIES DATA

Системи обробки інформації
This paper describes a technique for using time series data to monitor and diagnose faults in production systems. Predictive maintenance is the focus of research in order to assess equipment condition and anticipate potential failures.
І.О. Кобилін, А.І. Ніколайчук   +1 more
doaj   +1 more source

Application of machine learning for seam profile identification in robotic welding

Machine Learning with Applications
This paper addresses critical challenges in automated robotic welding, emphasizing precise weld groove profiling for pipe welding applications. By integrating advanced laser scanning technology with the Local Outlier Factor (LOF) algorithm, the research ...
Fatemeh Habibkhah, Mehrdad Moallem
doaj   +1 more source