Performance Evaluation of 3-D Convolutional Neural Network for Multitemporal Flood Classification Framework With Synthetic Aperture Radar Image Data by Dodi Sudiana, Indra Riyanto, Mia Rizkinia, Rahmat Arief, Anton Satria Prabuwono, Josaphat Tetuko Sri Sumantyo, Ketut Wikantika

“…This study proposes a novel approach using synthetic aperture radar (SAR) sensors, which can penetrate clouds, to classify flooded urban areas. …”
Get full text

Voltage Control of Exchange Bias via Magneto-Ionic Approaches by Yifu Luo, Shengsheng Liu, Yuxin Li, Zhen Wang, Jie Zhang, Limei Zheng

“…The exchange bias (EB) effect denotes a magnetic bias phenomenon originating from the interfacial exchange coupling at the ferromagnetic/antiferromagnetic materials, which plays an indispensable role in the functionality of various devices, such as magnetic random-access memory (MRAM) and sensors. Voltage control of exchange bias offers a promising pathway to significantly reduce device power consumption, effectively fostering the evolution of low-energy spintronic devices. …”
Get full text

Deep Learning Algorithms and Multicriteria Decision-Making Used in Big Data: A Systematic Literature Review by Mei Yang, Shah Nazir, Qingshan Xu, Shaukat Ali

“…The data are ever increasing with the increase in population, communication of different devices in networks, Internet of Things, sensors, actuators, and so on. This increase goes into different shapes such as volume, velocity, variety, veracity, and value extracting meaningful information and insights, all are challenging tasks and burning issues. …”
Get full text

Small-Scale Flat Plate Collectors for Solar Thermal Scavenging in Low Conductivity Environments by Emmanuel Ogbonnaya, Leland Weiss

“…For example, remote environmental sensors may be powered through the harvesting of ambient thermal energy and heating of a thermoelectric generator. …”
Get full text

Remaining Useful Life Prediction Techniques of Electric Valves for Nuclear Power Plants with Convolution Kernel and LSTM by Hang Wang, Min-jun Peng, Yong-kuo Liu, Shi-wen Liu, Ren-yi Xu, Hanan Saeed

“…The data for sensing valve conditions were gathered during aging experiments through acoustic emission sensors. During data processing, convolution kernel integrated with LSTM is utilized for feature extraction. …”
Get full text

Static Balance in Patients with Vestibular Impairments: A Preliminary Study by Hossein Talebi, Mohammad Taghi Karimi, Seyed Hamid Reza Abtahi, Niloofar Fereshtenejad

“…Vestibular system is indicated as one of the most important sensors responsible for static and dynamic postural control. …”
Get full text

Automated music therapy for anxiety and depression management in older people (AMITY) by Faizan Malik, White P.J., Dey Indrakshi

“…This paper proposes a novel approach for real-time monitoring of anxiety and depression symptoms using low-complexity body sensors. By employing automated, personalised music therapy based on the collected data, this system offers a scalable solution to enhance mental health care accessibility. …”
Get full text

Study on the Mathematical Model and Propagation Characteristics of AE Waveform Signals during Rock Fracture by Xun You, Bin Gong, Xin Lv, Longfei Hu

“…Due to the heterogeneity and anisotropy of rock materials as well as the complexity of their fracture, AE signals recorded by sensors at different positions have different characteristics. …”
Get full text

Metacavities by harnessing the linear-crossing metamaterials by Wu Jiaju, Guo Zhiwei, Qi Xin, Wei Qian, He Li, Fang Kai, Sun Yong, Li Yunhui, Chen Yuguang, Jiang Haitao, Chen Hong

“…Our work offers a new avenue for designing optical resonators excited by the point source in integrated photonics, which is very useful for high-efficiency filters, ultrasensitive sensors, and enhancement of light–matter interactions.…”
Get full text

Design and Construction of Position Sensorless Controller of Permanent Magnet Synchronous Motor with Internal Magnet based on Improved Phase-Locked Loop by Saeed Abazari, Sajad Mohamadi, Gholamreza Arab

“…However, the response obtained has a DC offset due to the inaccuracy of the current measurement sensors, which causes an error in the estimation of the rotor position. …”
Get full text

Artificial neural networks and remote sensing in the analysis of the highly variable Pampean shallow lakes by Graciela Canziani, Rosana Ferrati, Claudia Marinelli, Federico Dukatz

“…The integration of field and remote sensors datamakes it possible to retrieve information on shallow lake systems at broadspatial and temporal scales. …”
Get full text

In situ real-time measurement for electron spin polarization in atomic spin gyroscopes by Feng Li, Haoying Pang, Zhuo Wang, Wenfeng Fan, Min Zhang, Zehua Liu, Jiahang Li, Bodong Qin, Xinxiu Zhou, Xusheng Lei, Ruigang Wang

“…Summary: Atomic spin gyroscopes (ASGs) based on spin-exchange relaxation-free (SERF) co-magnetometers represent a new generation of ultra-high-precision inertial sensors. However, their long-term stability is significantly constrained by the stability of electron spin polarization. …”
Get full text

IoT-Based Water Quality Monitoring System for Koi Fish Quarantine by Rizki Novan Andiyansyah, Onny Setyawati, Fakhriy Hario Partiansyah

“…Water quality measurement data from these four sensors can be detected in real-time via the Internet of Things (IoT) using the Blynk application as a monitoring tool and the Telegram application as a notification to Telegram if the water quality is not ideal. …”
Get full text

Stress tunable spin dynamics of a magnetic vortex under resonant magnetic fields by Xun Rao, Lele Peng, Weichao Yan, Yun Shen, Xiaohua Deng, Guohong Dai

“…These findings offer valuable insights into the design and optimization of magnetic storage devices and magnetic field sensors, highlighting the potential of harnessing mechanical stress as a tuning parameter for enhancing their performance.…”
Get full text

Parallel Computing for Efficient and Intelligent Industrial Internet of Health Things: An Overview by Xin Yang, Shah Nazir, Habib Ullah Khan, Muhammad Shafiq, Neelam Mukhtar

“…The linkage of computation and interoperability are supported through various intelligent sensors, controllers, and actuators. The role of parallel computing for efficient and Intelligent Industrial Internet of Health Things is obvious to analyze and process different healthcare situations. …”
Get full text

Weather Monitoring and Classification Tools Using Fuzzy Logic Method Based on Internet of Things for Agriculture by Muhammad Alfazri Avindra, Ahmad Taqwa, Suroso

“…The system integrates sensors for temperature, humidity, air pressure, wind speed, and rainfall, processing the data through Fuzzy Logic to classify weather into sunny, cloudy, light rain, moderate rain, and heavy rain. …”
Get full text

Data Inspecting and Denoising Method for Data-Driven Stochastic Subspace Identification by Xiaohang Zhou, Lu Cao, Inamullah Khan, Qiao Li

“…First, EDA was adopted to inspect the data quality for removing the data measured from malfunctioning sensors. Then, MF along with an automated structural element (SE) size determination technique was adopted to suppress the noise components. …”
Get full text

A portable electrochemical immunosensor for detection of S. aureus based on polyelectrolyte-modified screen-printed carbon electrode by Aleksei A. Evdokimov, Anna A. Baldina, Anna A. Nikitina, Timur A. Aliev, Artemii M. Zenkin, Mikhail V. Zhukov, Igor S. Pantyukhin, Ekaterina V. Skorb, Anton A. Muravev

“…Voltammetric detection of the formation of the sandwich immunocomplex with secondary antibody in the outermost layer (AB–AG–AB-HRP) not only decreases the detection limit to 230 CFU/mL and expands the linear range of detection to 103–108 CFU/mL, but also could detect S. aureus bacteria with a portable open-source custom potentiostat in voltammetric mode, which is promising for non-invasive point-of-care monitoring of pathogens and addresses issues of antibody-based sensors, such as high cost and difficult chemical modification.…”
Get full text

Collision detection and external force estimation for robot manipulators using a composite momentum observer by Benaoumeur Ibari, Mourad Hebali, Baghdadi Rezali, Menaouer Bennaoum

“…The focus of this paper was to design a hybrid approach for collision detection between robots and their environment, and further to estimate external forces acting on a robot manipulator without the need for additional sensors. The current collision detection methods using observers are still suffering from the problem of an unavoidable trade-off between the estimation sensitivity and the reduction of the peaking value at the initial time. …”
Get full text

Variational Quantum Algorithms for the Allocation of Resources in a Cloud/Edge Architecture by Carlo Mastroianni, Francesco Plastina, Jacopo Settino, Andrea Vinci

“…Modern cloud/edge architectures need to orchestrate multiple layers of heterogeneous computing nodes, including pervasive sensors/actuators, distributed edge/fog nodes, centralized data centers, and quantum devices. …”
Get full text