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A Comprehensive Survey of Deep Learning Approaches in Image Processing.
Sensors (Basel)
January 2025
Industrial Systems Institute (ISI), Athena Research and Innovation Center, 26504 Patras, Greece.
The integration of deep learning (DL) into image processing has driven transformative advancements, enabling capabilities far beyond the reach of traditional methodologies. This survey offers an in-depth exploration of the DL approaches that have redefined image processing, tracing their evolution from early innovations to the latest state-of-the-art developments. It also analyzes the progression of architectural designs and learning paradigms that have significantly enhanced the ability to process and interpret complex visual data.
View Article and Find Full Text PDFFault Detection in Induction Machines Using Learning Models and Fourier Spectrum Image Analysis.
Sensors (Basel)
January 2025
Institute for Energy Engineering, Universitat Politècnica de València, Camino. de Vera s/n, 46022 Valencia, Spain.
Induction motors are essential components in industry due to their efficiency and cost-effectiveness. This study presents an innovative methodology for automatic fault detection by analyzing images generated from the Fourier spectra of current signals using deep learning techniques. A new preprocessing technique incorporating a distinctive background to enhance spectral feature learning is proposed, enabling the detection of four types of faults: healthy motor coupled to a generator with a broken bar (HGB), broken rotor bar (BRB), race bearing fault (RBF), and bearing ball fault (BBF).
View Article and Find Full Text PDFEndoscopic Management of Benign Pancreaticobiliary Disorders.
J Clin Med
January 2025
Division of Gastroenterology and Hepatology, Center for Digestive Health, Virginia Mason, Franciscan Health, Seattle, WA 98101, USA.
Endoscopic management of benign pancreaticobiliary disorders encompasses a range of procedures designed to address complications in gallstone disease, choledocholithiasis, and pancreatic disorders. Acute cholecystitis is typically treated with cholecystectomy or percutaneous drainage (PT-GBD), but for high-risk or future surgical candidates, alternative decompression methods, such as endoscopic transpapillary gallbladder drainage (ETP-GBD), and endoscopic ultrasound (EUS)-guided gallbladder drainage (EUS-GBD), are effective. PT-GBD is associated with significant discomfort as well as variable adverse event rates.
View Article and Find Full Text PDFPeriodontal Endoscopy for Mechanical Debridement in the Non-Surgical Management of Peri-Implantitis: A Narrative Review.
J Clin Med
January 2025
Department of Periodontology and Oral Mucosa Diseases, Medical University of Warsaw, Binieckiego 6 St., 02-097 Warsaw, Poland.
: The aim of the present narrative review is to synthesize the available scientific evidence on the effects of submarginal instrumentation with periodontal endoscopy and evaluate its' potential efficacy in terms of the non-surgical therapy of peri-implantitis. : The literature search was performed via electronic databases, including PubMed, Web of Science, Cochrane, and Scopus, and was supplemented by manual searching. A literature review was conducted addressing the following PICOS questions: (1) What is the efficacy of non-surgical submarginal instrumentation of the implant surface with the aid of a periodontal endoscope in patients with peri-implantitis? (2) What is the efficacy of non-surgical subgingival instrumentation performed with the aid of a periodontal endoscope compared with conventional subgingival instrumentation in patients with periodontitis, in terms of clinical parameters and patient-reported outcomes? Mechanical decontamination of the implant surface is crucial for resolving inflammation and arresting further bone loss.
View Article and Find Full Text PDFOverview and Prospects of DNA Sequence Visualization.
Int J Mol Sci
January 2025
School of Mathematics and Computer Science, Gannan Normal University, Ganzhou 341000, China.
Due to advances in big data technology, deep learning, and knowledge engineering, biological sequence visualization has been extensively explored. In the post-genome era, biological sequence visualization enables the visual representation of both structured and unstructured biological sequence data. However, a universal visualization method for all types of sequences has not been reported.
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