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53 articles for “Hybrid Architecture”
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Research ArticleOpen accessIn the abstractOptiCNN: Local thresholding segmentation and CNN with SVM Approach for Diabetic Retinopathy Detection and Classification of Fundus ImagesAnju Mishra, Mrinal Pandey, Laxman SinghDiabetic Retinopathy (DR) is a progressive eye disease that can lead to vision loss and blindness if left untreated. Ophthalmologists diagnose DR using medical imaging modalities such as fundus photography and optical coherence tomography (OCT); however, manual interpretation of these images is time-consuming and subject to inter-observer variability. While DR is irreversible, vision loss can be prevented through early detection … …Journal of Computer Science, Vol. 21, Issue 10 · 15 Dec 2025 · 2,162 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvanced Facial Emotion Recognition Using DCNN-ELM: A Comprehensive Approach to Preprocessing, Feature Extraction and Performance EvaluationBoopalan K., Satyajee Srivastava, K. Kavitha et al.As a subfield of affective computing, Facial Emotion Recognition (FER) teaches computers to read people's facial expressions to determine their emotional state. Because facial expressions convey 55% of an individual's emotional and mental state in the whole range of face-to-face communication, Facial Emotion Recognition is crucial for connecting humans and computers. Improvements in the way computer systems (robotic systems) interact … …Journal of Computer Science, Vol. 21, Issue 1 · 30 Nov 2024 · 5,907 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Survey of Methods for Managing the Classification and Solution of Data Imbalance ProblemKhan Md. Hasib, Md. Sadiq Iqbal, Faisal Muhammad Shah et al.The problem of class imbalance is extensive for focusing on numerous applications in the real world. In such a situation, nearly all of the examples are labeled as one class called majority class, while far fewer examples are labeled as the other class usually, the more important class is called minority. Over the last few years, several types of research … …Journal of Computer Science, Vol. 16, Issue 11 · 13 Nov 2020 · 10,129 accessesView PDFCite
EditorialOpen accessIn the abstractVolume 2: and SGAMR Goes!Chiara Bedon, Mario D’Aniello, Flavio StochinoThe year 2018 starts with a great confirmation for SGAMR! The journal has been selected to host the extended version of some selected papers presented during the 6th International Workshop on Design in Civil and Environmental Engineering (DCEE2017), held at the University of Cagliari (Italy) during November 2017. A summary of selected papers from highly ranked, international scientists can be … …International Journal of Structural Glass and Advanced Materials Research, Vol. 4, Issue 1 · 28 Aug 2020 · 5,741 accessesView PDFCite
Review ArticleOpen accessIn the abstractEvaluating Common Reconnaissance Tools and Techniques for Information GatheringIsaac Odun-Ayo, Emmanuel Owoka, Otavie Okuoyo et al.A reconnaissance attack is a commonly overlooked step in penetration testing but a critical step that could help increase the effectiveness of an attack on a target. However, it is a common attack faced by companies and institutions, among others. It enables the attacker or penetration tester to gain valuable information on the target and select the best tools and … …Journal of Computer Science, Vol. 18, Issue 2 · 16 Mar 2022 · 7,812 accessesView PDFCite
Research ArticleOpen accessIn the abstractDiagnosing Alzheimer’s Disease using Convolution Neural NetworksSarita, Saurabh Mukherjee, Tanupriya Choudhury et al.Alzheimer’s is a disease wherein constant degeneration of neurons and their synapses result in impaired brain functioning which leads to personality changes, memory loss, thinking and speech disorder. So, there is a requirement of an automated and early diagnosis of this disease to decrease the death rate. The proposed work is coupled with deep learning techniques to predict the Alzheimer’s … …Journal of Computer Science, Vol. 18, Issue 2 · 21 Feb 2022 · 7,350 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Approach to Pronominal Anaphora Resolution in ArabicAbdullatif Abolohom, Nazlia OmarOne of the challenges in natural language processing is to determine which pronouns to be referred to their intended referents in the discourse. Performing anaphora resolution is considered as an important task for a number of natural language processing applications such as information extraction, question answering and text summarization. Most of the earlier works of anaphora resolution have been applied … …Journal of Computer Science, Vol. 11, Issue 5 · 17 Aug 2015 · 7,098 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Broadcast Group Management Protocol for Secure, Scalable and Efficient Group CommunicationM. Sayee Kumar, T. PurusothamanIn hasty growth of communication, security plays a central role in maintaining confidentiality of data in group communication. Keeping the data intended for the group in confidential manner is the most important security feature need to be sustained for the group communication. An efficient group key management mechanism named as Hybrid Broadcast Group Management Protocol (HBGMP) is devised based on … …Journal of Computer Science, Vol. 11, Issue 2 · 17 Sep 2014 · 7,060 accessesView PDFCite
Research ArticleOpen accessIn the abstractVHDL DESIGN AND HARDWARE REALIZATION OF HYBRIDARTIFICIAL INTELLIGENCE ARCHITECTURERajeswaran Nagalingam, Tenneti Madhu, Munagala SuryakalavathiEvolutionary Algorithms (EA) use Genetic Algorithm (GA) in many optimization problems to efficiently compute the function value in less time. In this study the weight optimization of the Artificial Neural Net-work (ANN), using the Back Propagation Network (BPN), is tested and presented with GA. The combined architecture of Neuro-Genetic (Hybrid Artificial Intelligence) approach is proposed and simulated results are provided … …American Journal of Applied Sciences, Vol. 11, Issue 5 · 24 Feb 2014 · 6,570 accessesView PDFCite
Research ArticleOpen accessIn the abstractA CASE FOR HYBRID INSTRUCTION ENCODING FOR REDUCING CODE SIZE IN EMBEDDED SYSTEM-ON-CHIPS BASED ON RISC PROCESSOR CORESGovindarajalu Bakthavatsalam, K. M. MehataEmbedded computing differs from general purpose computing in several aspects. In most embedded systems, size, cost and power consumption are more important than performance. In embedded System-on-Chips (SoC), memory is a scarce resource and it poses constraints on chip space, cost and power consumption. Whereas fixed instruction length feature of RISC architecture simplifies instruction decoding and pipeline implementation, its undesirable … …Journal of Computer Science, Vol. 10, Issue 3 · 23 Nov 2013 · 6,830 accessesView PDFCite