Research ArticleOpen accessIn the abstractEnhanced Postoperative Brain MRI Segmentation with Automated Skull Removal and Resection Cavity AnalysisSobha Xavier P., Sathish P. K., Raju G.Brain tumors present a significant medical challenge, often necessitating surgical intervention for treatment. In the context of postoperative brain MRI, the primary focus is on the resection cavity, the void that remains in the brain following tumor removal surgery. Precise segmentation of this resection cavity is crucial for a comprehensive assessment of surgical efficacy, aiding healthcare professionals in evaluating the … …Journal of Computer Science, Vol. 20, Issue 5 · 19 Mar 2024 · 5,697 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Transfer Learning Approach for Student Attendance System During the COVID-19 PandemicSlimane Ennajar, Walid BouarifiMarking students' attendance has been a challenge during the COVID-19 pandemic. It is a time-consuming task due to the abnormally high number of students present during a learning session; many studies have been proposed to improve the system. However, there are still issues with each of these systems; we have employed deep transfer learning techniques using six pre-trained convolutional neural … …Journal of Computer Science, Vol. 20, Issue 3 · 16 Jan 2024 · 6,010 accessesView PDFCite
Research ArticleOpen accessIn the abstractLT-LBP-Based Spatial Texture Feature Extraction with Deep Learning for X-Ray ImagesPankaja Lakshmi P., Sivagami M.The novel logarithmic transformation of Local Binary Pattern (LT-LBP) for texture feature extraction is used with Deep Learning (DL) models. The Computational complexity in the DL models asymptotically increases with the data sesssst and the depth of the layers in Convolutional Neural Networks (CNN). Pre-processing the images before training the DL model holds a strong impact on the operation speed … …Journal of Computer Science, Vol. 20, Issue 1 · 18 Dec 2023 · 7,190 accessesView PDFCite
Research ArticleOpen accessIn the abstractRF-CNNS: Thin Deep Learning Networks For Accelerating Traffic Signs RecognitionBtissam Bousarhane, Driss BouzidiRoad scene analysis is a wide domain of research that aims to ameliorate the environmental perception in intelligent transportation systems, including autonomous vehicles and advanced driver-assistance systems. It also plays a crucial role in road safety improvement, by contributing to the reduction of traffic accidents' rate. Ensuring an efficient recognition of traffic signs contributes enormously to making cars safer, which … …Journal of Computer Science, Vol. 19, Issue 10 · 18 Sep 2023 · 5,335 accessesView PDFCite
Research ArticleOpen accessIn the abstractYear Identification of Seeds in Peony (Paeonia suffruticosa Andr.) Using Hyperspectral ImagingYakun Zhang, Tingting Li, Libo Wang et al.Seed storage year is one of the important indicators for evaluating the quality of peony seeds. It is of great significance for the development of the peony industry to carry out rapid and non-destructive year identification of peony seeds to provide a basis for the screening of aged seeds during seed breeding and processing. This study explores the feasibility of … …American Journal of Biochemistry and Biotechnology, Vol. 19, Issue 2 · 1 Aug 2023 · 5,209 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Comprehensive Overview of Handwritten Recognition Techniques: A SurveySardar Hasen Ali, Maiwan Bahjat AbdulrazzaqDeep learning and deep neural networks, particularly Convolutional Neural Networks (CNNs), are rapidly growing areas of machine learning and are currently the primary tools used for image analysis and classification applications. Handwriting recognition involves using computer algorithms and software to interpret and recognize handwritten text and drawings and has various applications such as automated handwriting analysis, document digitization, and handwriting-based … …Journal of Computer Science, Vol. 19, Issue 5 · 8 Apr 2023 · 8,763 accessesView PDFCite
Review ArticleOpen accessIn the abstractArtificial Intelligence in COVID-19 Management: A Systematic ReviewSamaneh Mohammadi, SeyedAhmad SeyedAlinaghi et al.With the development of modern technologies in the field of healthcare, the use of Artificial Intelligence (AI) in disease management is increasing. AI methods may assist healthcare providers in the COVID-19 era. The current study aimed to observe the efficacy and importance of AI for managing the COVID-19 pandemic. An organized search was conducted, utilizing PubMed, Web of Science, Scopus, … …Journal of Computer Science, Vol. 19, Issue 5 · 30 Mar 2023 · 8,052 accessesView PDFCite
Research ArticleOpen accessIn the abstractEmotion Recognition from Microblog Managing Emoticon with Text and Classifying using 1D CNNMd. Ahsan Habib, M. A. H. Akhand, Md. Abdus Samad KamalMicroblog, an online-based broadcast medium, is a widely used forum for people to share their thoughts and opinions. Recently, Emotion Recognition (ER) from microblogs is an inspiring research topic in diverse areas. In the machine learning domain, automatic emotion recognition from microblogs is a challenging task, especially, for better outcomes considering diverse content. Emoticon becomes very common in the text … …Journal of Computer Science, Vol. 18, Issue 12 · 7 Dec 2022 · 6,921 accessesView PDFCite