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3D Object Detection with Attention: Shell-Based Modeling 具有注意力的3D物体检测:基于shell的建模
IF 2.2 4区 计算机科学 Q2 Computer Science Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.034230
Xiaorui Zhang, Ziquan Zhao, Wei Sun, Qi Cui
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引用次数: 0
Ring Oscillator for 60 Meter Bandwidth 60米带宽环形振荡器
IF 2.2 4区 计算机科学 Q2 Computer Science Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.029220
Rachana Arya, B. K. Singh
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引用次数: 0
Improved Metaheuristic Based Failure Prediction with Migration Optimization in Cloud Environment 云环境下基于改进元启发式迁移优化的故障预测
IF 2.2 4区 计算机科学 Q2 Computer Science Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.031582
K. Karthikeyan, Liyakathunisa, E. Aljohani, Thavavel Vaiyapuri
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引用次数: 0
Development of Energy Management System for Micro Grid Operation 微电网运行能量管理系统的开发
IF 2.2 4区 计算机科学 Q2 Computer Science Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.032038
S. Jayaprakash, B. Gopi, M. Raj, S. Sujith, S. Deepa, S. Swapna
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引用次数: 1
The Trade-Off Between Performance and Security of Virtualized Trusted Execution Environment on Android Android虚拟化可信执行环境的性能与安全权衡
IF 2.2 4区 计算机科学 Q2 Computer Science Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.038664
Thien-Phuc Doan, Ngoc-Tu Chau, Jungsoo Park, Souhwan Jung
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引用次数: 0
Quantum Inspired Differential Evolution with Explainable Artificial Intelligence-Based COVID-19 Detection 基于可解释人工智能的COVID-19检测的量子启发差分进化
IF 2.2 4区 计算机科学 Q2 Computer Science Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.034449
Abdullah M. Basahel, Mohammad Yamin
Recent advancements in the Internet of Things (Io), 5G networks, and cloud computing (CC) have led to the development of Human-centric IoT (HIoT) applications that transform human physical monitoring based on machine monitoring. The HIoT systems find use in several applications such as smart cities, healthcare, transportation, etc. Besides, the HIoT system and explainable artificial intelligence (XAI) tools can be deployed in the healthcare sector for effective decision-making. The COVID-19 pandemic has become a global health issue that necessitates automated and effective diagnostic tools to detect the disease at the initial stage. This article presents a new quantum-inspired differential evolution with explainable artificial intelligence based COVID-19 Detection and Classification (QIDEXAI-CDC) model for HIoT systems. The QIDEXAI-CDC model aims to identify the occurrence of COVID-19 using the XAI tools on HIoT systems. The QIDEXAI-CDC model primarily uses bilateral filtering (BF) as a preprocessing tool to eradicate the noise. In addition, RetinaNet is applied for the generation of useful feature vectors from radiological images. For COVID-19 detection and classification, quantum-inspired differential evolution (QIDE) with kernel extreme learning machine (KELM) model is utilized. The utilization of the QIDE algorithm helps to appropriately choose the weight and bias values of the KELM model. In order to report the enhanced COVID-19 detection outcomes of the QIDEXAI-CDC model, a wide range of simulations was carried out. Extensive comparative studies reported the supremacy of the QIDEXAI-CDC model over the recent approaches. © 2023 Authors. All rights reserved.
物联网(Io)、5G网络和云计算(CC)的最新进展导致了以人为中心的物联网(HIoT)应用的发展,这些应用将基于机器监控的人类物理监控转变为机器监控。HIoT系统在智能城市、医疗保健、交通等多个应用中都有应用。此外,HIoT系统和可解释的人工智能(XAI)工具可以部署在医疗保健部门,以进行有效的决策。COVID-19大流行已经成为一个全球性的健康问题,需要自动化和有效的诊断工具来在初始阶段检测疾病。本文提出了一种新的基于量子启发的差分进化和可解释的人工智能的HIoT系统COVID-19检测与分类(QIDEXAI-CDC)模型。QIDEXAI-CDC模型旨在利用XAI工具在HIoT系统上识别COVID-19的发生。QIDEXAI-CDC模型主要使用双边滤波(BF)作为预处理工具来消除噪声。此外,将retanet应用于从放射图像中生成有用的特征向量。对于COVID-19的检测和分类,采用量子启发差分进化(QIDE)和核极限学习机(KELM)模型。QIDE算法的应用有助于合理选择KELM模型的权值和偏置值。为了报告QIDEXAI-CDC模型增强的COVID-19检测结果,进行了大范围的模拟。广泛的比较研究报道了QIDEXAI-CDC模型优于最近的方法。©2023作者。版权所有。
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引用次数: 0
Efficient-Cost Task Offloading Scheme in Fog-Internet of Vehicle Networks 雾-车联网中的高效成本任务卸载方案
IF 2.2 4区 计算机科学 Q2 Computer Science Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.032316
Alla Abbas Khadir, S. Hosseini-Seno, B. F. Dhahir, R. Budiarto
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引用次数: 1
Intelligent Deep Convolutional Neural Network Based Object Detection Model for Visually Challenged People 基于智能深度卷积神经网络的视障人群目标检测模型
IF 2.2 4区 计算机科学 Q2 Computer Science Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.036980
S. Devi, A. Albraikan, F. Al-Wesabi, Mohamed K. Nour, Ahmed Ashour, A. Hilal
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引用次数: 0
Improved Hybrid Swarm Intelligence for Optimizing the Energy in WSN 基于改进混合群智能的无线传感器网络能量优化
IF 2.2 4区 计算机科学 Q2 Computer Science Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.036106
A. N. Ahmed, Jinhyung Kim, Yun-Seung Nam, M. Abouhawwash
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引用次数: 0
Deep Neural Network for Detecting Fake Profiles in Social Networks 基于深度神经网络的社交网络虚假资料检测
IF 2.2 4区 计算机科学 Q2 Computer Science Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.039503
Daniyal Amankeldin, L. Kurmangaziyeva, A. Mailybayeva, Natalya Glazyrina, A. Zhumadillayeva, Nurzhamal Karasheva
,
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引用次数: 2
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