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36 articles for “Feature Fusion”
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Research ArticleOpen accessIn the abstractFusing CNN Models for Improved Parkinson’s Disease Detection from Handwritten FeaturesSabrina Benredjem, Tahar MekhazniaNeurodegenerative Diseases (NGD) are a group of progressive neurological disorders, including cognitive decline as Alzheimer’s Disease (AD) and Parkinson’s Disease (PD) that result in the progressive loss of neuronal structure or function. This can lead to a variety of symptoms, in this study we are interested in PD one of the neurological diseases that causes the loss of dopamine-producing neurons … …Journal of Computer Science, Vol. 21, Issue 2 · 22 Jan 2025 · 6,306 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrognosis of Dementia Using Early Fusion Approach with Digital Clock Drawing and Trail-Making TestsShridevi Karande, Vrushali KulkarniDementia poses a substantial global public health challenge. Emerging evidence suggests that COVID-19's neurological impact may aggravate dementia incidences. Timely recognition and management can significantly decelerate dementia progression and enhance affected individuals' quality of life. In the realm of cognitive assessment, the Clock Drawing Test (CDT) and Trail-Making Test (TMT) stand as prominent tools. Existing research predominantly focuses on the … …Journal of Computer Science, Vol. 20, Issue 8 · 10 Jun 2024 · 4,720 accessesView PDFCite
Research ArticleOpen accessIn the abstractResearch on Cotton Top Bud Target Detection Algorithm Based on Improved RetinaNetJikui Zhu, Shijie Lin, Fengkui Zhang et al.To solve the problems of low accuracy and high miss rate in the recognition of cotton apical buds during mechanical topping, an enhanced method based on the RetinaNet network is proposed for the accurate identification of cotton apical buds under natural light. The traditional RetinaNet algorithm is validated to improve the recall rate and average accuracy of cotton apical bud … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 1 · 17 Apr 2024 · 5,128 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Robust Medical Image Fusion Based on Synthetic Focusing Degree Criterion and Special Kernel Set for Clinical DiagnosisDawa Chyophel Lepcha, Bhawna Goyal, Ayush Dogra et al.Medical imaging has been widely used to diagnose diseases over the last two decades. Medical professionals still struggle to diagnose diseases using a single modality since there is a shortage of data in this domain. Therefore, images of specific organs with diseases from a variety of medical imaging systems can be combined using a technique called image fusion. Medical image … …Journal of Computer Science, Vol. 20, Issue 4 · 6 Feb 2024 · 5,625 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Backward Regressed Capsule Neural Network for Plant Leaf Disease DetectionJennifer Jepkoech, Benson Kipkemboi Kenduiywo, David Muchangi Mugo, Edna Chebet ToolThis study investigated the introduction ofbackward regression coupled with DenseNet features in a Capsule Neural Network(CapsNet) for plant leaf disease classification. Plant diseases are consideredone of the main factors influencing food production and therefore fast cropdisease detection and recognition are important in enhancing food securityinterventions. CapsNets have successfully been adopted for plant leaf diseaseclassification however, backpropagation of signals to preceding … …Journal of Computer Science, Vol. 18, Issue 9 · 8 Sep 2022 · 5,718 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Visible and Near Infrared Polarized Lights on Spoofing Face DetectionAzim Zaliha Abd AzizFace spoofing countermeasure is vital to avoid an imposter from gaining access to security biometric systems by using face masks in various forms that mimic a valid user face. Recently, several studies have shown the ability of visible polarized light in distinguishing real and fake faces. In this paper, polarization imaging systems using visible and near infrared (NIR) are proposed … …Journal of Computer Science, Vol. 15, Issue 2 · 23 Feb 2019 · 7,893 accessesView PDFCite
Research NotesOpen accessIn the abstractAn Artificial Design Technique to Optimize Signal PeptideGao Cui-Fang, Wang Sen, Tian Feng-Wei et al.To determine optimal artificial signal peptide candidates for the possibility of creating high levels of secretion of heterologous proteins, substitution and redesign of amino acid sequences in the H-domain of the signal peptide was theoretically attempted. The method was based on comprehensive score matrix and Markov transfer matrix, which can make the artificial sequences maintain the structural characteristics and original … …American Journal of Biochemistry and Biotechnology, Vol. 13, Issue 3 · 21 Jul 2017 · 8,063 accessesView PDFCite
Research ArticleOpen accessIn the abstractCLASSIFICATION OF DIGITAL IMAGES USING FUSION ELEVATED ORDER CLASSIFIER IN WAVELET NEURAL NETWORKR. Arulmurugan, P. SengottuvelanThe revival of wavelet neural networks obtained an extensive use in digital image processing. The shape representation, classification and detection play a very important role in the image analysis. Boosted Greedy Sparse Linear Discriminate Analysis (BGSLDA) trains the cascade level of detection in an efficient manner. With the application of reweighting concept and deployment of class-reparability criterion, lesser search was … …Journal of Computer Science, Vol. 10, Issue 9 · 23 Jun 2014 · 6,790 accessesView PDFCite
Research ArticleOpen accessIn the abstractWireless Body Area Sensor Networks Signal Processing and Communication Framework: Survey on Sensing, Communication Technologies, Delivery and FeedbackKhalid Abu Al-Saud, Massudi Mahmuddin, Amr MohamedProblem statement: The Wireless Body Area Sensor Networks (WBASNs) is a wireless network used for communication among sensor nodes operating on or inside the human body in order to monitor vital body parameters and movements. This study surveys the state-of-the-art on Wireless Body Area Networks, discussing the major components of research in this area including physiological sensing and preprocessing, WBASNs … …Journal of Computer Science, Vol. 8, Issue 1 · 1 Nov 2011 · 9,155 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Face Recognition in Video by Bit Planes SlicingM. Jasmine Pemeena Priyadarsini, K. Murugesan, Srinivasa Rao Inbathini, Visal KumarProblem statement: Video-based face recognition must be able to overcome the imaging interference such as pose and illumination. Approach: A model is designed to study for face recognition based on video sequence and also test image. In training stage, single frontal image is taken as a input to the recognition system. A new virtual image is generated using bit plane … …Journal of Computer Science, Vol. 8, Issue 1 · 26 Oct 2011 · 7,420 accessesView PDFCite