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检索条件"机构=Electrical & Computer Engineering and Computer Science Department"
696385 条 记 录,以下是31-40 订阅
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A Comprehensive Data Description for LoRaWAN Path Loss Measurements in an Indoor Office Setting: Effects of Environmental Factors
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IEEE Access 2025年 13卷 83148-83170页
作者: Obiri, Nahshon Mokua Laerhoven, Kristof Van University of Siegen Department of Electrical Engineering and Computer Science Germany
This paper presents a comprehensive dataset of LoRaWAN technology path loss measurements collected in an indoor office environment, focusing on quantifying the effects of environmental factors on signal propagation. U... 详细信息
来源: 评论
A Review of Anonymization Algorithms and Methods in Big Data
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Annals of Data science 2025年 第1期12卷 253-279页
作者: Shamsinejad, Elham Banirostam, Touraj Pedram, Mir Mohsen Rahmani, Amir Masoud Department of Computer Engineering Central Tehran Branch Islamic Azad University Tehran Iran Department of Electrical and Computer Engineering Faculty of Engineering Kharazmi University Tehran Iran Department of Computer Engineering Science and Research Branch Islamic Azad University Tehran Iran
In the era of big data, with the increase in volume and complexity of data, the main challenge is how to use big data while preserving the privacy of users. This study was conducted with the aim of finding a solution ... 详细信息
来源: 评论
Representing a Model for the Anonymization of Big Data Stream Using In-Memory Processing
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Annals of Data science 2025年 第1期12卷 223-252页
作者: Shamsinejad, Elham Banirostam, Touraj Pedram, Mir Mohsen Rahmani, Amir Masoud Department of Computer Engineering Central Tehran Branch Islamic Azad University Tehran Iran Department of Electrical and Computer Engineering Faculty of Engineering Kharazmi University Tehran Iran Department of Computer Engineering Science and Research Branch Islamic Azad University Tehran Iran
In light of the escalating privacy risks in the big data era, this paper introduces an innovative model for the anonymization of big data streams, leveraging in-memory processing within the Spark framework. The approa... 详细信息
来源: 评论
Derandomizing Codes for the Adversarial Wiretap Channel of Type II
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IEEE Transactions on Information Theory 2025年 第6期71卷 4686-4707页
作者: Ruzomberka, Eric Nikbakht, Homa Brinton, Christopher G. Love, David J. Poor, H. Vincent Air Force Institute of Technology Department of Electrical and Computer Engineering United States Princeton University Department of Electrical and Computer Engineering United States Purdue University Elmore Family School of Electrical and Computer Engineering West Lafayette United States
The adversarial wiretap channel of type II (AWTC-II) is a communication channel that can a) read a fraction of the transmitted symbols up to a given bound and b) induce both errors and erasures in a fraction of the sy... 详细信息
来源: 评论
An Attention-Based CNN Framework for Alzheimer’s Disease Staging with Multi-Technique XAI Visualization
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computers, Materials & Continua 2025年 第5期83卷 2947-2969页
作者: Mustafa Lateef Fadhil Jumaili Emrullah Sonuç Department of Computer Engineering Karabuk UniversityKarabük78050Türkiye Department of Computer Science College of Computer Science and MathematicsTikrit UniversityTikrit34001Iraq
Alzheimer’s disease(AD)is a significant challenge in modern healthcare,with early detection and accurate staging remaining critical priorities for effective *** Deep Learning(DL)approaches have shown promise in AD di... 详细信息
来源: 评论
Modern Machine Learning Solution for Electricity Consumption Management in Smart Buildings
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IEEE engineering Management Review 2025年 第1期53卷 54-62页
作者: Gautam, Sandeep Kumar Shrivastava, Vinayak Udmale, Sandeep S. Singh, Amit Kumar Singh, Sanjay Kumar Department of Computer Science and Engineering Varanasi221005 India Department of Computer Engineering and Information Technology Mumbai400019 India National Institute of Technology Department of Computer Science and Engineering Patna800005 India
Effective management of electricity consumption (EC) in smart buildings (SBs) is crucial for optimizing operational efficiency, cost savings, and ensuring sustainable resource utilization. Accurate EC prediction enabl... 详细信息
来源: 评论
Fuzzy clustering for electric field characterization and its application to thunderstorm interpretability
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Digital Communications and Networks 2025年 第2期11卷 299-307页
作者: Xu Yang Hongyan Xing Xinyuan Ji Wei Xu Witold Pedrycz School of Electronics and Information Engineering Nanjing University of Information Science and Technology Department of Electrical and Computer Engineering University of Alberta Systems Research Institute Polish Academy of Sciences Department of Computer Engineering Faculty of Engineering and Natural Sciences Istinye University
Changes in the Atmospheric Electric Field Signal(AEFS) are highly correlated with weather changes, especially with thunderstorm activities. However, little attention has been paid to the ambiguous weather information ... 详细信息
来源: 评论
Polarization-encodable photonic memory cells using nextgeneration 2D phase-change materials
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Nano Research 2025年 第3期18卷 510-518页
作者: Amin Shafiee Linhong Chen Mahdi Nikdast Jie Yao Department of Electrical and Computer Engineering Colorado State UniversityFort CollinsCO 80523USA Department of Materials Science and Engineering University of CaliforniaBerkeleyCA 94720USA
Integration of phase-change materials(PCMs)created a unique opportunity to implement reconfigurable photonics devices that their performance can be tuned depending on the target *** PCMs such as Ge-Sb-Te(GST)and Ge-Sb... 详细信息
来源: 评论
Supervised Learning for Real-time Model Predictive Control Leveraging Multi-parametric Mixed Integer Quadratic Programming
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Journal of Institute of Control, Robotics and Systems 2025年 第2期31卷 98-105页
作者: Yoo, Seungjun Gwon, Minwoo Kim, Kwang-Ki Department of Electrical and Computer Engineering Inha University Korea Republic of
This paper presents a novel supervised learning framework for real-time optimization of multi-parametric mixed-integer quadratic programming (mp-MIQP) problems. The framework utilizes a multi-layer perceptron (MLP) mo... 详细信息
来源: 评论
Advancing mental health detection in texts via multi-task learning with soft-parameter sharing transformers
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Neural Computing and Applications 2025年 第5期37卷 3077-3110页
作者: Kodati, Dheeraj Tene, Ramakrishnudu Department of Computer Science and Engineering National Institute of Technology Warangal India Department of Computer Science and Engineering Mahindra University Hyderabad India
In recent years, mental health issues have profoundly impacted individuals’ well-being, necessitating prompt identification and intervention. Existing approaches grapple with the complex nature of mental health, faci... 详细信息
来源: 评论