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Research ArticleOpen accessIn the abstractCapsule Defect Detection and Classification Using Enhanced MobileNet ModelWenqing Bian, Yongzhi Huang, Baolian Shan, Yanting ChangThe quality of capsules has a direct impact on human health. However, defects inevitably arise during the capsule manufacturing process, and manual sorting is required. Most studies on capsule defects focus on detecting surface imperfections and those on internal capsule defects remain relatively limited. This study classifies four types of capsules using the deep learning model MobileNet, aiming to accurately … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 4 · 5 Nov 2024 · 5,203 accessesView PDFCite
Research ArticleOpen accessIn the abstractA CNN-KNN Based Recognition of Online Handwritten Symbols within Physics Expressions Using Contour-Based Bounding Box (CBBS) Segmentation TechniqueUjwala Kolte, Sachin Naik, Vidya KumbharArtieres, T., Marukatat, S., & Gallinari, P. (2007). Online Handwritten Shape Recognition Using Segmental Hidden Markov Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(2), 205–217. https://doi.org/10.1109/tpami.2007.38 Baró, A., Riba, P., Calvo-Zaragoza, J., & Fornés, A. (2019). From Optical Music Recognition to Handwritten Music Recognition: A baseline. Pattern Recognition Letters, 123, 1–8. https://doi.org/10.1016/j.patrec.2019.02.029 Bresler, M., Prua, D., & Hlavác, … …Journal of Computer Science, Vol. 20, Issue 7 · 7 May 2024 · 6,278 accessesView PDFCite
Research ArticleOpen accessIn the abstractModified Human Development Index using Data Envelopment Analysis ApproachYasmine Refai Salama, Ramadan Hamed, Mahmoud RashwanComposite Indicator is considered themathematical aggregation which has wide usage for monitoring performances,conducting benchmarks, analyzing policies, and communicating publicly. HumanDevelopment Index (HDI) is the most popular index which measures humandevelopment through average achievement in its main dimensions: Health status,education status, and living standard but it is faced with several critiques,positive and negative. Moreover, HDI was tested to have a positive … …Journal of Mathematics and Statistics, Vol. 18, Issue 1 · 26 Sep 2022 · 6,088 accessesView PDFCite
Literature ReviewOpen accessIn the abstractMitochondrial Dysfunction Model in the Pathogenesis of Inflammatory Response Development in ObesityAlexander Blagov, Varvara Orekhova et al.Obesity is one of the growing problems of modern society. Although currently used methods of treating obesity, including diet, exercise, and drug therapy, have shown their applicability to more effectively combat obesity, an understanding of the pathogenesis of this disease is required. One of the insufficiently studied factors in the pathogenesis of obesity is the development of mitochondrial dysfunction understanding … …OnLine Journal of Biological Sciences, Vol. 24, Issue 1 · 19 Nov 2023 · 4,933 accessesView PDFCite
Case ReportOpen accessIn the abstractHepatitis B-Related Mononeuritis MultiplexBudha Charan Singh, Vinay N Gowda, Prasan Kumar PandaHepatitisB Virus (HBV) infection can present with varied multisystem manifestationsinvolving the skin, kidneys, blood, and nervous system. We report a 57-year-oldman with HBV-related mononeuritis multiplex who had symptoms of multiplesensory-motor axonal polyneuropathies. He was evaluated for his neuropathy withnerve conduction studies and a sural nerve biopsy that revealed necrotizingsmall-vessel vasculitis. He also hadan acute liver injury. He was started on … …American Journal of Infectious Diseases, Vol. 18, Issue 4 · 16 Nov 2022 · 5,719 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Synthetic Oversampling Algorithm for Handling Class Imbalance in Multi-Class Data Stream ClassificationPriya S., Annie UthraConcept drift and class imbalanced data are major challenging processes involved in modern streaming data classification. Particularly, when integrated with difficult factors like the existence of noise, overlapping class distribution, concept drift, and data imbalance can considerably affect the classifier results. In addition, various challenges affect the performance of the existing oversampling schemes such as SMOTE and its derivatives. Regardless … …Journal of Computer Science, Vol. 18, Issue 7 · 26 Jul 2022 · 5,809 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved Classification Model using CNN for Detection of Alzheimer’s DiseaseRagavamsi Davuluri, Ragupathy RengaswamyAlzheimer’s Disease (AD) is commonly called a neurodegenerative disorder and it is a common form of dementia. There is no permanent cure for this brain disease hence the early diagnosis of such disease using medical imaging system is highly significant. Machine learning models play a vital role in the detection of AD. Since most of the conventional machine learning models … …Journal of Computer Science, Vol. 18, Issue 5 · 30 May 2022 · 6,252 accessesView PDFCite
Research ArticleOpen accessIn the abstractData Preparation in Machine Learning for Condition-based MaintenanceOns Masmoudi, Mehdi Jaoua, Amel Jaoua, Soumaya YacoutUsing Machine Learning (ML) prediction to achieve a successful, cost-effective, Condition-Based Maintenance (CBM) strategy has become very attractive in the context of Industry 4.0. In other fields, it is well known that in order to benefit from the prediction capability of ML algorithms, the data preparation phase must be well conducted. Thus, the objective of this paper is to investigate … …Journal of Computer Science, Vol. 17, Issue 6 · 4 Jun 2021 · 8,412 accessesView PDFCite
Research ArticleOpen accessIn the abstractFine-Tuned MobileNet Classifier for Classification of Strawberry and Cherry Fruit TypesVenkatesh, Nagaraju Yallappa, Siddhanth Udayashankar Hegde, Sangeetha Raj StalinThis paper proposed an accurate, fast and reliable strawberry, cherry fruit detection and classification system for the automated strawberry cherry yield estimation. State-of-the-art deep learning-based fine-tuned MobileNet Convolutional Neural Network is developed to detect and classify strawberry and cherry fruit types in the outdoor field. The proposed CNN model is trained on 4250 strawberry fruit images, 3878 Cherry fruit images … …Journal of Computer Science, Vol. 17, Issue 1 · 20 Jan 2021 · 7,953 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Evaluation of Deep Learning Networks on Printed Odia CharactersSanjibani Sudha Pattanayak, Sateesh Kumar Pradhan, Ramesh Chandra MalikDeep machine learning includes a series of layers to mimic the working of the human brain for taking a decision. Deep learning networks have shown good results in character recognition in the past. This paper evaluates the performance of different deep learning networks like Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM) based recurrent neural network and Convolutional LSTM on … …Journal of Computer Science, Vol. 16, Issue 7 · 25 Jul 2020 · 6,785 accessesView PDFCite