Search Results - "IEEE sensors journal"

Blockchain-Federated-Learning and Deep Learning Models for COVID-19 Detection Using CT Imaging by Kumar, Rajesh, Khan, Abdullah Aman, Kumar, Jay, Zakria, Golilarz, Noorbakhsh Amiri, Zhang, Simin, Ting, Yang, Zheng, Chengyu, Wang, Wenyong

“…With the increase of COVID-19 cases worldwide, an effective way is required to diagnose COVID-19 patients. The primary problem in diagnosing COVID-19 patients…”
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A Review on Soft Sensors for Monitoring, Control, and Optimization of Industrial Processes by Jiang, Yuchen, Yin, Shen, Dong, Jingwei, Kaynak, Okyay

“…Over the past twenty years, numerous research outcomes have been published, related to the design and implementation of soft sensors. In modern industrial…”
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Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements, and Challenges by Reddy Maddikunta, Praveen Kumar, Hakak, Saqib, Alazab, Mamoun, Bhattacharya, Sweta, Gadekallu, Thippa Reddy, Khan, Wazir Zada, Pham, Quoc-Viet

“…In the next few years, smart farming will reach each and every nook of the world. The prospects of using unmanned aerial vehicles (UAV) for smart farming are…”
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A Review of Deep Learning Models for Time Series Prediction by Han, Zhongyang, Zhao, Jun, Leung, Henry, Ma, King Fai, Wang, Wei

“…In order to approximate the underlying process of temporal data, time series prediction has been a hot research topic for decades. Developing predictive models…”
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mm-Pose: Real-Time Human Skeletal Posture Estimation Using mmWave Radars and CNNs by Sengupta, Arindam, Jin, Feng, Zhang, Renyuan, Cao, Siyang

“…In this paper, mm-Pose , a novel approach to detect and track human skeletons in real-time using an mmWave radar, is proposed. To the best of the authors'…”
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Human Activity Recognition With Smartphone and Wearable Sensors Using Deep Learning Techniques: A Review by Ramanujam, E., Perumal, Thinagaran, Padmavathi, S.

“…Human Activity Recognition (HAR) is a field that infers human activities from raw time-series signals acquired through embedded sensors of smartphones and…”
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Fusion of 3D LIDAR and Camera Data for Object Detection in Autonomous Vehicle Applications by Zhao, Xiangmo, Sun, Pengpeng, Xu, Zhigang, Min, Haigen, Yu, Hongkai

“…It is vital that autonomous vehicles acquire accurate and real-time information about objects in their vicinity, which fully guarantees the safety of the…”
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Wearable Flexible Sensors: A Review by Nag, Anindya, Mukhopadhyay, Subhas Chandra, Kosel, Jurgen

“…This paper provides a review on some of the significant research work done on wearable flexible sensors (WFSs). Sensors fabricated with the flexible materials…”
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Software-Defined Industrial Internet of Things in the Context of Industry 4.0 by Jiafu Wan, Shenglong Tang, Zhaogang Shu, Di Li, Shiyong Wang, Imran, Muhammad, Vasilakos, Athanasios V.

“…In recent years, there have been great advances in industrial Internet of Things (IIoT) and its related domains, such as industrial wireless networks (IWNs),…”
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Smart Secure Sensing for IoT-Based Agriculture: Blockchain Perspective by Vangala, Anusha, Das, Ashok Kumar, Kumar, Neeraj, Alazab, Mamoun

“…Agriculture is a vital area for the sustenance of mankind engulfing manufacturing, security, traceability, and sustainable resource management. With the…”
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A New Deep Transfer Learning Method for Bearing Fault Diagnosis Under Different Working Conditions by Zhu, Jun, Chen, Nan, Shen, Changqing

“…Fault diagnosis is very important for condition based maintenance. Recently, deep learning models are introduced to learn hierarchical representations from raw…”
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Highly Sensitive Terahertz Metamaterial Sensor by Saadeldin, A. Samy, Hameed, Mohamed Farhat O., Elkaramany, Essam M. A., Obayya, Salah S. A.

“…A novel design of nearly perfect metamaterial absorber is proposed and analyzed for terahertz sensing applications. The full vectorial finite element method is…”
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Continuous Human Activity Classification From FMCW Radar With Bi-LSTM Networks by Shrestha, Aman, Li, Haobo, Le Kernec, Julien, Fioranelli, Francesco

“…Recognition of human movements with radar for ambient activity monitoring is a developed area of research that yet presents outstanding challenges to address…”
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Plasmonic Biosensor With Gold and Titanium Dioxide Immobilized on Photonic Crystal Fiber for Blood Composition Detection by Chaudhary, Vijay Shanker, Kumar, Dharmendra, Mishra, Gyan Prakash, Sharma, Sneha, Kumar, Santosh

“…This paper proposes a photonic crystal fiber (PCF) based plasmonic biosensor for the detection of various blood compositions like red blood cells (RBCs),…”
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Knowledge Transfer for Rotary Machine Fault Diagnosis by Yan, Ruqiang, Shen, Fei, Sun, Chuang, Chen, Xuefeng

“…This paper intends to provide an overview on recent development of knowledge transfer for rotary machine fault diagnosis (RMFD) by using different transfer…”
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Technologies for Printing Sensors and Electronics Over Large Flexible Substrates: A Review by Khan, Saleem, Lorenzelli, Leandro, Dahiya, Ravinder S.

“…Printing sensors and electronics over flexible substrates are an area of significant interest due to low-cost fabrication and possibility of obtaining…”
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Gold-Immobilized Photonic Crystal Fiber-Based SPR Biosensor for Detection of Malaria Disease in Human Body by Chaudhary, Vijay Shanker, Kumar, Dharmendra, Kumar, Santosh

“…This article presents the photonic crystal fiber (PCF) based surface plasmon resonance (SPR) biosensor for early detection of malaria disease in humans by…”
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Wearable Sensors for Human Activity Monitoring: A Review by Mukhopadhyay, Subhas Chandra

“…An increase in world population along with a significant aging portion is forcing rapid rises in healthcare costs. The healthcare system is going through a…”
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Fault Diagnosis for Electrical Systems and Power Networks: A Review by Furse, Cynthia M., Kafal, Moussa, Razzaghi, Reza, Shin, Yong-June

“…In this paper, we review the state of the art in the detection, location, and diagnosis of faults in electrical wiring interconnection systems (EWIS) including…”
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Towards Precision Agriculture: IoT-Enabled Intelligent Irrigation Systems Using Deep Learning Neural Network by Kashyap, Pankaj Kumar, Kumar, Sushil, Jaiswal, Ankita, Prasad, Mukesh, Gandomi, Amir H.

“…Recently, precision agriculture has gained substantial attention due to the ever-growing world population demands for food and water. Consequently, farmers…”
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