Discontinuity in long Deoxyribonucleic Acid (DNA) sequences creates harmful diseases. Changes in the DNA structure refers to changes in the human immunity system. Tuberculosis is a critical disease that causes coughin...
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In this paper, we formulate to optimize the problem related to network failure using the integer linear programming (ILP) method. We aim to minimize the number of spanning trees needed to protect the network in case o...
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Genetic algorithm-based automated program repair has the challenge that execution time tends to be extremely long. One of the causes is the low adequacy of the fitness, which represents the evaluation of program varia...
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This paper proposes a more effective placement way of slicers to increase bandwidth efficiency in elastic optical network (EON). EON enhances the potential of the network by dividing available bandwidth into a small r...
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This paper presents a novel approach to revolutionize customer complaint handling through a machine learning-based ensemble classification system and an automated escalation mechanism. The research involves the develo...
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The exponential growth of data necessitates an effective data storage scheme,which helps to effectively manage the large quantity of *** accomplish this,Deoxyribonucleic Acid(DNA)digital data storage process can be em...
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The exponential growth of data necessitates an effective data storage scheme,which helps to effectively manage the large quantity of *** accomplish this,Deoxyribonucleic Acid(DNA)digital data storage process can be employed,which encodes and decodes binary data to and from synthesized strands of *** quantization(VQ)is a commonly employed scheme for image compression and the optimal codebook generation is an effective process to reach maximum compression *** article introduces a newDNAComputingwithWater StriderAlgorithm based Vector Quantization(DNAC-WSAVQ)technique for Data Storage *** proposed DNAC-WSAVQ technique enables encoding data using DNA computing and then compresses it for effective data ***,the DNAC-WSAVQ model initially performsDNA encoding on the input images to generate a binary encoded *** addition,aWater Strider algorithm with Linde-Buzo-Gray(WSA-LBG)model is applied for the compression process and thereby storage area can be considerably *** order to generate optimal codebook for LBG,the WSA is applied to *** performance validation of the DNAC-WSAVQ model is carried out and the results are inspected under several *** comparative study highlighted the improved outcomes of the DNAC-WSAVQ model over the existing methods.
Content-centric networking (CCN) is a network architecture based on content. The conventional network architecture uses IP address to route packets based on location. In CCN, which routes packets based on content name...
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For intelligent surveillance videos,anomaly detection is extremely *** learning algorithms have been popular for evaluating realtime surveillance recordings,like traffic accidents,and criminal or unlawful incidents su...
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For intelligent surveillance videos,anomaly detection is extremely *** learning algorithms have been popular for evaluating realtime surveillance recordings,like traffic accidents,and criminal or unlawful incidents such as suicide ***,Deep learning methods for classification,like convolutional neural networks,necessitate a lot of computing *** computing is a branch of technology that solves abnormal and complex problems using quantum *** a result,the focus of this research is on developing a hybrid quantum computing model which is based on deep *** research develops a Quantum Computing-based Convolutional Neural Network(QC-CNN)to extract features and classify anomalies from surveillance footage.A Quantum-based Circuit,such as the real amplitude circuit,is utilized to improve the performance of the *** far as my research,this is the first work to employ quantum deep learning techniques to classify anomalous events in video surveillance *** are 13 anomalies classified from the UCF-crime *** on experimental results,the proposed model is capable of efficiently classifying data concerning confusion matrix,Receiver Operating Characteristic(ROC),accuracy,Area Under Curve(AUC),precision,recall as well as *** proposed QC-CNN has attained the best accuracy of 95.65 percent which is 5.37%greater when compared to other existing *** measure the efficiency of the proposed work,QC-CNN is also evaluated with classical and quantum models.
作者:
Vasianov, AleksandrBarzdenas, VaidotasWang, Sen
Department of Computer Science and Communications Technologies Vilnius10105 Lithuania
Department of Electronic Engineering Taipei10608 Taiwan
Modern electronic devices operate at frequencies where interconnects function as transmission lines, necessitating meticulous management of characteristic impedance (Z0) to avert signal degradation and power losses. T...
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Transmitter-side channel state information (CSI) is vital for large MIMO downlink systems to achieve high spectrum and energy efficiency. Existing deep learning architectures for downlink CSI feedback and recovery sho...
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