Visualization is a powerful tool for learning and teaching complex concepts, especially in the field of computer science. However, creating effective and engaging visualizations can be challenging and time-consuming f...
详细信息
In the rapidly advancing digital landscape, immersive sound technologies have emerged as transformative elements in enhancing user experiences across various media platforms, including film, gaming, and music. This pa...
详细信息
This paper reviews three DSP-based audio virtualizer implementations used in immersive audio technologies, which have transformed sound experiences with limited speaker setups. Focusing on key parameters such as memor...
详细信息
The integration of clusters,grids,clouds,edges and other computing platforms result in contemporary technology of jungle *** novel technique has the aptitude to tackle high performance computation systems and it manag...
详细信息
The integration of clusters,grids,clouds,edges and other computing platforms result in contemporary technology of jungle *** novel technique has the aptitude to tackle high performance computation systems and it manages the usage of all computing platforms at a *** learning is a collaborative machine learning approach without centralized training *** proposed system effectively detects the intrusion attack without human intervention and subsequently detects anomalous deviations in device communication behavior,potentially caused by malicious adversaries and it can emerge with new and unknown *** main objective is to learn overall behavior of an intruder while performing attacks to the assumed target ***,the updated system model is send to the centralized server in jungle computing,to detect their *** learning greatly helps the machine to study the type of attack from each device and this technique paves a way to complete dominion over all malicious *** our proposed work,we have implemented an intrusion detection system that has high accuracy,low False Positive Rate(FPR)scalable,and versatile for the jungle computing *** execution time taken to complete a round is less than two seconds,with an accuracy rate of 96%.
This study investigates the integration of Electroimpedance Tomography (EIT) with Machine Learning (ML) and Deep Learning (DL) for enhanced object detection and imaging in medical and robotics applications. The study ...
详细信息
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...
详细信息
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.
The fixed-point FFT is used widely, particularly in hardware implementations where floating-point arithmetic is not always feasible. To avoid overflow in such implementations, a popular method is to shift values one b...
详细信息
We present Self-Remixing, a novel self-supervised speech separation method, which refines a pre-trained separation model in an unsupervised manner. Self-Remixing consists of a shuffler module and a solver module, and ...
详细信息
With next-generation communication technologies becoming more integrated into critical infrastructure, securing these networks against sophisticated threats has become paramount. One of the most persistent threats to ...
详细信息
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...
详细信息
暂无评论