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292 results for “model presents”
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Research ArticleOpen accessIn the abstractEnhanced RoBERTa Model for OCR-Based EHR Parsing and Information ExtractionBalaji Ganesh Rajagopal, Amarnath C, Chidambaram Sawri Rajan, Deebalakshmi RamalingamHealthy source data for medical research and health analytics in general can be obtained from Electronic Health Records (EHRs). Nevertheless, due to the complexities of the design and especially the unstructured nature of them, it is not easy to extract important information from digital documents. This paper proposes a fundamentally new approach to the problem of interpreting EHRs obtained by … …Journal of Computer Science, Vol. 22, Issue 4 · 5 May 2026 · 1,581 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Neural Network Models for Predicting EUR/USD Direction: An Empirical StudyEl Badaoui Mohamed, Raouyane Brahim, El Moumen Samira, Bellafkih MostafaThis paper presents a rigorous comparative analysis of six feedforward neural network models for predicting the directional movement of the EUR/USD currency pair. The evaluated models include the Learning Vector Quantization, Cascade Neural Network, Feedforward Neural Network, Single Layer Perceptron, Multi-Layer Perceptron, and Radial Basis Function network. Utilizing daily historical data from April 2009 to May 2024, each model was … …Journal of Computer Science, Vol. 22, Issue 1 · 3 Feb 2026 · 2,330 accessesView PDFCite
Research ArticleOpen accessIn the abstractRecognizing Sign Language Gestures Using a Hybrid Spatio-Temporal Deep Learning ModelMeryem Cherrate, My Abdelouahed Sabri, Ali Yahyaouy, Abdellah AarabRecognizing gestures in American Sign Language (ASL) from video data presents significant challenges due to the intricate combination of hand gestures, facial cues, and body motion. In this work, we introduce a hybrid deep learning framework that integrates Convolutional Neural Networks (CNNs) for extracting spatial characteristics with Long Short-Term Memory (LSTM) networks for capturing temporal sequences. The model was trained … …Journal of Computer Science, Vol. 21, Issue 12 · 23 Jan 2026 · 2,048 accessesView PDFCite
Research ArticleOpen accessIn the abstractBlockchain-Enabled Decisive Red Fox Optimizer-Based Feature Selection With Deep Learning-Based Intrusion Detection SystemC. Ananth, S. Sathiyarani, N. MohananthiniRecently, Intrusion Detection Systems (IDS) using Deep Learning (DL) models become useful in accomplishing network security. The selected features serve as input to the DL model, which is trained on labelled datasets to learn intrinsic patterns distinguishing malicious from normal network behaviour. DL techniques like Convolutional Neural Networks (CNN) are usually utilized. The seamless combination of Public Blockchain (BC) technology … …Journal of Computer Science, Vol. 21, Issue 12 · 20 Jan 2026 · 1,714 accessesView PDFCite
Review ArticleOpen accessIn the abstractSome Aircraft Considered New in 2020Florian Ion Tiberiu PetrescuThe paper briefly presents some models of aircraft considered avant-garde in 2020 and it is part of the reviews on news in aviation and aerospace. It briefly presents some basic features, news and more important data for each new model on display, so that the reader can get an image of that model but also an overall one, to compare … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 4 · 22 Dec 2020 · 7,464 accessesView PDFCite
Research ArticleOpen accessIn the abstractReal-Time Endoscopic Image Semantic Segmentation for Efficient Polyp IdentificationM. Al-AsliThe advancement of endoscopic procedures has significantly enhanced diagnostic capabilities in polyp identification and removal, which is critical for colorectal cancer prevention. However, the success of these procedures hinges on the accuracy and speed of real-time image analysis. Traditional image processing methods often fail to provide timely and precise segmentation of endoscopic images. This paper presents the implementation of endoscopic … …Journal of Computer Science, Vol. 21, Issue 10 · 10 Dec 2025 · 2,397 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimizing Lentil Breeding Models for South-East Kazakhstan: Yield, Adaptability, and Protein EnhancementSaikenova Alma Zhumabaevna, Kudaibergenov Mukhtar Sarsenbekovich, Kanatkyzy Makpal et al.This study presents the development of a model for optimizing lentil breeding in the agroclimatic conditions of southeastern Kazakhstan. By evaluating 31 lentil varieties and hybrid populations (F1, F2, and F3), key economically valuable traits such as yield, protein content, drought resistance, and adaptability to mechanized harvesting were identified. A systematic selection process enabled the creation of lentil variety models … …OnLine Journal of Biological Sciences, Vol. 25, Issue 3 · 24 Sep 2025 · 3,201 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Optimization to Trust Enhanced Secure Routing Optimization with IABC and CGWAA for MANETYuvaraja Panneer Selvam, Suganthi PerumalRouting in Mobile Ad Hoc Networks (MANET) presents significant challenges due to the dynamic nature of network topology. Optimal route selection and efficient route discovery are matched by effective routing in MANET. This study proposes a Hybrid Optimization to Trust-Enhanced Secure Routing Optimization (HO-TESRO) designed to address these challenges in IoT environments by integrating metrics such as link stability, bandwidth, … …Journal of Computer Science, Vol. 21, Issue 4 · 19 Mar 2025 · 4,983 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of a Model, Selection and Evaluation of the Source Material for the Plant Breeding of Alfalfa Varieties with Increased Seed ProductivityGulmira Toktarovna Ualiyeva, Ualikhan Malgazhdarovich Sagalbekov, Marden Ersainovich Baidalin, Hristina YanchevaThe article presents the results of laboratory and field experiments on the source material of alfalfa in the conditions of Northern Kazakhstan. The purpose of the present research was to study and evaluate the selective value of alfalfa variety populations, as well as to isolate a new source material for creating alfalfa varieties with high seed yields. The experiments were … …OnLine Journal of Biological Sciences, Vol. 22, Issue 1 · 1 Apr 2022 · 5,701 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Models for Rigid Memory MechanismsRelly Victoria Virgil PetrescuThe paper presents a dynamic model that works with variable internal damping, applicable directly to rigid memory mechanisms. If the problem of elasticity is generally solved, the problem of system damping is not clear and well-established. It is usually considered a constant "c" value for the internal damping of the system and sometimes the same value c and for the … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 6 May 2019 · 5,981 accessesView PDFCite