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228 results for “hybrid method”
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Research ArticleOpen accessAll words, across the recordTowards an Explainable Approach: Hybrid Residual Network and SVM for Automated Brain Tumor Detection and ClassificationKamini Lamba, Shalli RaniThe abnormal growth of brain cells leads to tumor formation, which can be fatal if not detected and treated promptly. Given the complexity of brain tumors, early detection is critical in healthcare. Traditional radiology-based tumor detection is prone to human error and delays. Hence, a computer- assisted method is needed for accurate and efficient diagnosis. With the rapid advancements in … …Journal of Computer Science, Vol. 22, Issue 1 · 11 Feb 2026 · 1,427 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAnalysing Domain-Specific Sentiments in Healthcare: SentiWordNet Adjusted Vader Sentiment Analysis (SAVSA)Thambusamy Velmurugan, Sridevi Perumal ChokkalingamSentiment analysis, the process of understanding people's emotions and opinions in the digital age, holds significant importance for both content creators and consumers in the era of abundant online content. However, accurately gauging sentiment can be challenging, particularly when individuals employ specialized language and online shorthand. This research work presents a novel approach to sentiment analysis known as SentiWordNet Adjusted … …Journal of Computer Science, Vol. 20, Issue 3 · 16 Jan 2024 · 5,939 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA New Robust Hybrid Approach to Enhance Speech in Mobile Communication SystemsManimegalai Govindan Sumithra, Keppana Gounder Thanuskodi, Bharathi DeepaProblem statement: The received voice signal in mobile communication is often disturbed by background noise and hence there is a need for good noise reduction methods for enhancing Speech. It is well known that denoising is a compromise between the removal of the largest possible amount of noise and the preservation of signal integrity. To address this issue, a new … …American Journal of Applied Sciences, Vol. 8, Issue 4 · 18 Apr 2011 · 7,299 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordHybrid Optimize Strategy based QoS Route Algorithm for Mobile Ad hoc NetworksFu Peng, Zhang DeyunIt is very difficult to find feasible QoS (Quality of service) routes in the mobile ad hoc networks (MANETs), because of the nature constrains of it, such as dynamic network topology, wireless communication link and limited process capability of nodes. In order to reduce average cost in flooding path discovery scheme of the traditional MANETs routing protocols and increase the … …Journal of Computer Science, Vol. 2, Issue 2 · 28 Feb 2006 · 6,546 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPod Shattering and Seed Shedding Resistance Indicators in the Soybean Collection and Hybrid PopulationsSagit Islambek, Didorenko Svetlana, Rinat Kasenov et al.Early pod shatter is a critical factor contributing to soybean yield loss, with potential losses ranging from 34 to 99%. When shatter-resistant genotypes are grown in different agro-climatic zones, there is often a loss of this resistance. Therefore, there is a need for a more detailed critical analysis of breeding methods and strategies to reduce soybean pod shatter. It has … …OnLine Journal of Biological Sciences, Vol. 25, Issue 3 · 25 Nov 2025 · 2,022 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordHybrid Deep Learning Models for Text Classification: Performance Evaluation of TriDistilBERT and BiGRU ArchitecturesAmira Samy TalaatText can be a valuable source of information, but its unstructured nature makes analysis challenging and time-consuming. Machine Learning (ML) algorithms can efficiently analyze and structure text, enabling organizations to automate processes and uncover insights that support better decision-making. This study focuses on applying ML to a classification problem using two datasets. Four deep learning models are introduced, combining Bi … …Journal of Computer Science, Vol. 21, Issue 9 · 10 Oct 2025 · 2,792 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordUnleashing the Power of Image Denoising: A Comprehensive Review of Classical to Deep Learning MethodsArchana Saini, Ayush DograImage denoising is a vital step in many image processing and computer vision professions that aims to improve picture quality by decreasing noise while maintaining important image information. In this article, a detailed overview is presented of traditional and deep learning based picture denoising approaches. Classical methods, such as linear filtering, transform domain techniques, and patch-based approaches like Non-Local Means … …Journal of Computer Science, Vol. 21, Issue 8 · 8 Oct 2025 · 3,107 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA HYBRID FIREFLY ALGORITHM WITH FUZZY-C MEAN ALGORITHM FOR MRI BRAIN SEGMENTATIONMutasem K. AlsmadiImage processing is one of the essential tasks to extract suspicious region and robust features from the Magnetic Resonance Imaging (MRI). A numbers of the segmentation algorithms were developed in order to satisfy and increasing the accuracy of brain tumor detection. In the medical image processing brain image segmentation is considered as a complex and challenging part. Fuzzy c-means is … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 10 Sep 2014 · 8,074 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordHYBRID FEATURE SELECTION ALGORITHM FOR INTRUSION DETECTION SYSTEMSeyed Reza Hasani, Zulaiha Ali Othman, Seyed Mostafa Mousavi KahakiNetwork security is a serious global concern. Usefulness Intrusion Detection Systems (IDS) are increasing incredibly in Information Security research using Soft computing techniques. In the previous researches having irrelevant and redundant features are recognized causes of increasing the processing speed of evaluating the known intrusive patterns. In addition, an efficient feature selection method eliminates dimension of data and reduce redundancy … …Journal of Computer Science, Vol. 10, Issue 6 · 31 Jan 2014 · 7,350 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Hybrid Approach for Detecting Stego Content in Corporate Mail Using Neural Network Based Simplified-Data Encryption Standard AlgorithmP. T. Anitha, M. Rajaram, S. N. SivanandhamProblem statement: The major growth of information technology is based on the security measures implemented. Steganography is a method which is used to give high level security. Approach: Today, email management and email authenticity must be unquestionable with strong chains of custody, constant availability and tamper-proof security. A secure communication can be achieved through neural based steganography. Email is insecure. … …American Journal of Applied Sciences, Vol. 9, Issue 5 · 12 Mar 2012 · 7,128 accessesView PDFCite