Article
Engineering, Multidisciplinary
S. Naveen Venkatesh, V. Sugumaran
Summary: This study aims to identify visual faults in photovoltaic modules using machine vision and machine learning techniques, specifically through the classification of normal RGB images with the fusion of deep learning and machine learning methods.
Article
Engineering, Biomedical
Chayashree Patgiri, Amrita Ganguly
Summary: Detection of anomalous cells in blood diseases is crucial, and automatic recognition with robust segmentation and classification methods can improve efficiency. A novel hybrid segmentation method using features extracted from cells for training and testing classifiers shows potential for high performance in classifying normal and sickle cells.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Article
Engineering, Electrical & Electronic
B. Sangamithra, B. E. Manjunath Swamy, M. Sunil Kumar
Summary: Every client uses web service technology for data retrieval. Current search engines fail to provide personalized results, which can be improved by incorporating machine learning classifiers. This study evaluates the performance of different algorithms using metrics like accuracy, precision, and recall to enhance web search.
OPTICAL AND QUANTUM ELECTRONICS
(2023)
Article
Computer Science, Information Systems
Suyanto Suyanto, Prasti Eko Yunanto, Tenia Wahyuningrum, Siti Khomsah
Summary: The paper proposes a new KNN variant called MVMCNN, which defines the decision class by calculating total distances using multiple commissions. The results from 10-fold cross-validation show that the proposed multi-commission scheme enhances the original LMPNN. Compared to single-voter models, MVMCNN achieves lower mean error rates and higher Precision, Recall, and F1 Score.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Pengcheng Zhang, Yaling Zhang, Hai Dong, Huiying Jin
Summary: Mobile edge computing is a new computing paradigm that performs computing on the edge of a network. However, due to changing edge environments, services may encounter quality issues. This article proposes a novel QoS monitoring approach ghBSRM-MEC, which can accurately monitor service quality in the mobile edge environment.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2021)
Article
Energy & Fuels
Arangarajan Vinayagam, Veerapandiyan Veerasamy, Mohd Tariq, Asma Aziz
Summary: This paper proposes a heterogeneous based ensemble classifiers method for identifying and classifying power system disturbances in wind integrated microgrid network. The method utilizes discrete wavelet transform for feature extraction and involves two levels of classification. Experimental results demonstrate the effectiveness and robustness of the proposed stacking ensemble model.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Computer Science, Information Systems
Altaf Alam, Laxman Singh, Zainul Abdin Jaffery, Yogesh Kumar Verma, Manoj Diwakar
Summary: Separating road and non-road regions in unstructured roads is crucial for safe navigation and collision avoidance in autonomous vehicles. This paper proposes an efficient road detection system using multiple nearest neighbors classifiers and soft voting aggregation approach to accurately classify road and non-road regions. Experimental results demonstrate that the system provides effective navigation and classification for autonomous vehicles in rural, urban, and city areas.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Fan Zhao, Kaidi Hui, Tingting Wang, Zhenzhen Zhang, Yajun Chen
Summary: The IKPCA-KCF tracker addresses the model drifting and stability issues of KCF trackers by using IKPCA technology to learn target features incrementally, compressing historical target samples to maintain a constant update rate, and utilizing a nearest neighbor classifier to confirm tracking targets. Extensive experimental results demonstrate its competitiveness with state-of-the-art trackers on challenging video datasets.
Article
Computer Science, Artificial Intelligence
Maniraj Subramanian Pitchiah, Thamizhamuthu Rajamanickam
Summary: This article introduces a method for classifying dermoscopic images using machine learning to identify melanoma. The proposed classification system involves three stages, including preprocessing, feature extraction, and classification. The experimental results show that the Support Vector Machine classifier performs well in identifying melanoma skin cancer.
TRAITEMENT DU SIGNAL
(2022)
Article
Computer Science, Artificial Intelligence
M. Shujah Islam, Khush Bakhat, Rashid Khan, Nuzhat Naqvi, M. Mattah Islam, Zhongfu Ye
Summary: This paper proposes a novel SNSP descriptor for human action recognition. The method utilizes material depth sensors and skeleton estimation algorithm to capture complex spatial information among skeletal joints, and calculates features for action recognition. Experimental results demonstrate that the proposed method outperforms other methods.
NEURAL PROCESSING LETTERS
(2022)
Article
Engineering, Multidisciplinary
Yuguo Zhou, Shaoting Yan, Yanbo Ren, Shiliang Liu
Summary: This paper proposes a fault diagnosis method based on TET and LDA for rolling bearing faults, which can effectively identify faults with different positions, damage levels, and damage types.
Article
Engineering, Electrical & Electronic
Amit Kumar Gangwar, Abdul Gafoor Shaik
Summary: This paper presents a novel protection algorithm based on K-medoids clustering and weighted k-Nearest neighbor regression. K-medoids clustering is used for fault detection and classification, while weighted k-Nearest neighbor regression is used to locate the fault. The algorithm achieves fault detection, classification, and location within half a cycle, and is robust against various factors such as DG trip, islanding, and noise.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Public, Environmental & Occupational Health
Sashikala Mishra, Kailash Shaw, Debahuti Mishra, Shruti Patil, Ketan Kotecha, Satish Kumar, Simi Bajaj
Summary: Healthcare AI systems mainly use classification models for disease detection, but single models may have limited accuracy. Fusion of multiple classifiers outputs into a single framework has been found to increase accuracy. The proposed bit fusion ensemble algorithm reduces classification error rate and has been tested on various datasets, showing improvement in error rates.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Statistics & Probability
Reza Modarres
Summary: This paper presents new approaches to address the classification problem of high dimensional, low sample size data, which overcomes the limitations of classical discrimination methods. By introducing dissimilarity indices and test-based classifiers, accuracy in classification is improved and compared with existing methods.
STATISTICAL PAPERS
(2022)
Article
Mathematics, Applied
Vijay K. Yadav, Nilam
Summary: Precision in the measurement of glucose levels in the artificial pancreas is crucial. Machine learning techniques, such as decision tree, random forest, support vector machine, and K-nearest neighbor, are proposed for predicting and classifying diabetes mellitus. The KNN model displays the highest accuracy in comparison to others.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2023)
Article
Multidisciplinary Sciences
Alina Messner, Valentin Aranha Dos Santos, Hannes Stegmann, Stefan Puchner, Doreen Schmidl, Rainer Leitgeb, Leopold Schmetterer, Rene M. Werkmeister
Summary: In this study, the use of intrinsic optical signals as a noninvasive biomarker for assessing retinal photoreceptor function was explored. Results showed dynamic changes in optical path length between different anatomical structures in the outer retina during light stimulation, suggesting the potential for using a standard OCT platform and signal model in measuring subretinal changes in response to light adaptation.
ANNALS OF THE NEW YORK ACADEMY OF SCIENCES
(2022)
Article
Endocrinology & Metabolism
Gudmundur Johannsson, Philippe Touraine, Ulla Feldt-Rasmussen, Antonio Pico, Greisa Vila, Anders F. Mattsson, Martin Carlsson, Marta Korbonits, Andre P. van Beek, Michael P. Wajnrajch, Roy Gomez, Kevin C. J. Yuen
Summary: This study aimed to evaluate the long-term safety of growth hormone replacement in adults with growth hormone deficiency. The results showed that long-term growth hormone replacement in adults with growth hormone deficiency is safe and supported in routine clinical practice.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2022)
Article
Genetics & Heredity
F. M. van Haalen, M. Kaya, I. C. M. Pelsma, O. M. Dekkers, N. R. Biermasz, S. C. Cannegieter, M. V. Huisman, B. J. M. van Vlijmen, R. A. Feelders, F. A. Klok, A. M. Pereira
Summary: There is a large practice variation regarding thromboprophylaxis management in patients with Cushing's syndrome, even in Endo-ERN reference centers.
ORPHANET JOURNAL OF RARE DISEASES
(2022)
Article
Endocrinology & Metabolism
Stefan Pilz, Michael Krebs, Walter Bonfig, Wolfgang Hoegler, Anna Hochgerner, Greisa Vila, Christian Trummer, Verena Theiler-Schwetz, Barbara Obermayer-Pietsch, Peter Wolf, Thomas Scherer, Florian Kiefer, Elke Froehlich-Reiterer, Elena Gottardi-Butturini, Klaus Kapelari, Stefan Schatzl, Susanne Kaser, Gunter Hoefle, Dietmar Schiller, Vinzenz Stepan, Anton Luger, Stefan Riedl
Summary: This article aims to provide better prevention and treatment measures for acute adrenal insufficiency in Austria, including recommendations such as providing emergency medication cards, injection kits, patient and family education, treatment guidelines, and emergency contact information.
AUSTRIAN JOURNAL OF CLINICAL ENDOCRINOLOGY AND METABOLISM
(2022)
Article
Cardiac & Cardiovascular Systems
Roza Badr Eslam, Begum Ozturk, Rene Rettl, Christophe Denis Josef Capelle, Hong Qin, Christina Binder, Theresa-Marie Dachs, Luciana Camuz Ligios, Franz Duca, Daniel Dalos, Lore Schrutka, Farideh Alasti, Johannes Kastner, Greisa Vila, Diana Bonderman
Summary: The study found that patients with higher baseline peak VO2 and lower baseline minute ventilation/carbon dioxide production slope had a lower risk of death or heart failure hospitalization. In patients receiving tafamidis treatment and undergoing repeat CPET testing, an improvement in physical performance was observed.
CIRCULATION-HEART FAILURE
(2022)
Article
Endocrinology & Metabolism
Anna Cho, Greisa Vila, Wolfgang Marik, Sigrid Klotz, Stefan Wolfsberger, Alexander Micko
Summary: In patients with small sellar lesions, Prolactin-Volume-Ratios greater than 100 may serve as a potential predictive marker for the diagnosis of prolactin-producing pituitary adenomas.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Clinical Neurology
Alexander Micko, Georgi Minchev, Ayguel Wurzer, Gernot Kronreif, Stefan Wolfsberger
Summary: This study investigated the feasibility and stability of an innovative oral tracker (OT) for endoscopic skull base surgery. Compared to a commercially available skin adhesive tracker (ST), the OT showed significantly lower deviations during the surgical steps.
OPERATIVE NEUROSURGERY
(2022)
Article
Surgery
Stephanie Kampf, Alexander Micko, Stefan Stojkovic, Maja Nackenhorst, Svitlana Demyanets, Wolf-Hans Eilenberg, Claus Krenn, Johann Wojta, Christoph Neumayer
Summary: This study aimed to test extracellular matrix metalloproteinase inducer (EMMPRIN) as a potential marker of high risk vulnerable plaques in patients with carotid artery stenosis. EMMPRIN levels were analyzed in pre-operative serum samples and it was found that patients with high risk plaques had increased levels of EMMPRIN. The combination of EMMPRIN with clinical risk factors improved the prediction of vulnerable plaques in asymptomatic patients.
EUROPEAN JOURNAL OF VASCULAR AND ENDOVASCULAR SURGERY
(2023)
Article
Clinical Neurology
Alexander S. G. Micko, Anna Cho, Simon Heck, Wolfgang Marik, Stefan Wolfsberger
Summary: A study comparing the impact of high-definition 2D and 3D endoscopes on spatial orientation within the sphenoid sinus found that 3D endoscopes provided higher accuracy in identifying landmarks. This has important implications for the safety of endoscopic skull base procedures.
OPERATIVE NEUROSURGERY
(2023)
Article
Pharmacology & Pharmacy
Matthias Wolfgang, Alice Kern, Shiyu Deng, Sandra Stranzinger, Mengyang Liu, Wolfgang Drexler, Rainer Leitgeb, Richard Haindl
Summary: Optical Coherence Tomography (OCT) has gained attention as a promising technology for monitoring pharmaceutical film-coating processes and end-point detection. We present an ultra-high-resolution (UHR-) OCT and demonstrate its performance on different multiparticulate dosage forms with different layer structures. The achieved system resolution enables the assessment of defects, film thickness variability, and morphological features within the coating.
INTERNATIONAL JOURNAL OF PHARMACEUTICS
(2023)
Article
Multidisciplinary Sciences
Douglass W. Tucker, Dhiraj J. Pangal, Robin Du, Angad S. Gogia, Ali Tafreshi, Jacob Ruzevick, Kyle T. Hurth, Tim Triche, Alexander Micko, John D. Carpten, Mark S. Shiroishi, John D. Carmichael, Suhn K. Rhie, Gabriel Zada
Summary: This study aimed to validate the differential DNA methylation and MAX protein expression profiles between nonfunctional pituitary adenoma (NFPA) and growth hormone-secreting pituitary adenoma (GHPA). Results showed that GHPA exhibited more hypomethylation events across all known MAX binding sites, with 1,551 sites having significantly different methylation patterns near potentially MAX-regulated promoter regions. Gene ontology analysis suggested involvement in cellular proliferation, tumor invasion, and hormonal secretion. GHPA also demonstrated significantly increased expression of MAX protein compared to NFPA.
Review
Endocrinology & Metabolism
Clemens Baumgartner, Martin Krssak, Greisa Vila, Michael Krebs, Peter Wolf
Summary: In industrialized countries, changes in lifestyle and diet have caused an increase in obesity and metabolic disorders. Excessive lipid deposition in organs and tissues with limited capacity for lipid storage disrupts metabolic function and increases the risk of metabolic diseases and complications. Pituitary disorders can indirectly affect ectopic lipid deposition by altering lipid metabolism and insulin sensitivity, as well as directly influencing energy metabolism through specific hormonal effects. This review provides information on the impact of pituitary disorders on ectopic fat stores and explores the potential pathophysiological mechanisms involved in hormone action in ectopic lipid metabolism.
FRONTIERS IN ENDOCRINOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Lisa Krainz, Ekaterina Sherina, Simon Hubmer, Mengyang Liu, Wolfgang Drexler, Otmar Scherzer
Summary: Optical coherence elastography (OCE) is a promising research field for visualizing micro-scale tissue stiffness changes. This study compares three different reconstruction methods for accurately determining Young's modulus, with the image-based inverse reconstruction method (IIM) showing the best performance.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2023)
Article
Clinical Neurology
Lisa Wadiura, David Reichert, Veronika Sperl, Alexandra Lang, Barbara Kiesel, Mikael Erkkilae, Adelheid Woehrer, Julia Furtner, Thomas Roetzer, Rainer Leitgeb, Mario Mischkulnig, Georg Widhalm
Summary: This study aimed to investigate the influence of dexamethasone on visible fluorescence and quantitative PpIX accumulation in GBM surgery, and found that dexamethasone pretreatment did not significantly affect either visible 5-ALA fluorescence or PpIX accumulation based on FLIM values.
JOURNAL OF NEUROSURGERY
(2022)
Review
Multidisciplinary Sciences
Brett E. Bouma, Johannes F. de Boer, David Huang, Ik-Kyung Jang, Taishi Yonetsu, Cadman L. Leggett, Rainer Leitgeb, David D. Sampson, Melissa Suter, Ben J. Vakoc, Martin Villiger, Maciej Wojtkowski
Summary: This article introduces the principles, applications, and future prospects of optical coherence tomography (OCT). By explaining the principles and origins of signals for different instrument configurations, as well as image processing and interpretation methods, the article comprehensively analyzes the application of OCT in biological and medical imaging.
NATURE REVIEWS METHODS PRIMERS
(2022)
