Deep Learning Approach for Automatic Classification of Ocular and Cardiac Artifacts in MEG Data by Ahmad Hasasneh, Nikolas Kampel, Praveen Sripad, N. Jon Shah, Jürgen Dammers

“…The major advantages of the proposed method are as follows: (1) it is a fully automated and user independent workflow of artifact classification in MEG data; (2) once the model is trained there is no need for auxiliary signal recordings; (3) the flexibility in the model design and training allows for various modalities (MEG/EEG) and various sensor types.…”
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Loss-Aware Histogram Binning and Principal Component Analysis for Customer Fleet Analytics by Kunxiong Ling, Jan Thiele, Thomas Setzer

“…Furthermore, we demonstrate the benefits of estimating information losses and the representativeness of total loss in evaluating the accuracy of k-means clustering for a real-world customer fleet dataset. For preprocessing sensor data which are aggregated from sufficient number of samples, continuously distributed, and can be represented by Beta-distributions, we recommend not to coarsen the histogram binning before PCA.…”
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Combustion and engine roughness of water − jojoba biodiesel emulsions in diesel engine by Ihab Ayad, Mohamed Y.E. Selim, Mamdouh T. Ghannam

“…The engine analysis was conducted using a single-cylinder diesel engine equipped with a pressure sensor in the combustion chamber, an accelerometer for vibration measurement, microphone condenser probe for noise, an external flow meter to measure the fuel flow rate, and an orifice meter to measure the air flow rate. …”
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Metabolic Basis for Thyroid Hormone Liver Preconditioning: Upregulation of AMP-Activated Protein Kinase Signaling by Luis A. Videla, Virginia Fernández, Pamela Cornejo, Romina Vargas

“…In this context, adenosine-monophosphate- (AMP-) activated protein kinase (AMPK) constitutes an intrahepatic energy sensor regulating physiological energy dynamics by limiting anabolism and stimulating catabolism, thus increasing ATP availability. …”
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A Mechanical–Electrochemical Dual-Model E-Skin for the Monitoring of Cardiovascular Healthcare by Jianxiao Fang, Yunting Jia, Zelong Liao, Bairui Qi, Tao Huang

“…Here, we present a novel, compact, and highly integrated skin electrode as a mechanical–electrochemical dual-model E-skin, designed for the real-time monitoring of heart rate and sweat ion concentration, two critical parameters for assessing cardiovascular health. As a pressure sensor, this E-skin is suitable for accurate heart rate monitoring, as it exhibits high sensitivity (25.2 pF·kPa⁻¹), a low detection limit of 6 Pa, and a rapid response time of ~20 ms, which is attributed to the iontronic sensing interface between the skin and the electrode. …”
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Structural Health Monitoring of Precast Concrete Box Girders Using Selected Vibration-Based Damage Detection Methods by Zhengjie Zhou, Leon D. Wegner, Bruce F. Sparling

“…A box girder removed from a dismantled bridge was used to evaluate the ability of five different VBDD algorithms to detect and localize low levels of spalling damage, with a focus on using a small number of sensors and only the fundamental mode of vibration. …”
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An Improved Blade Vibration Parameter Identification Method considering Tip Clearance Variation by Liang Zhang, Qidi Wang, Xin Li

“…Accurately extracting the time of blade tip reaching the sensors is the key to ensure the accuracy of the BTT system. …”
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Spatial Dynamics and Risk Mapping of Forest Fires in Madhesh Province, Nepal: A Multi-Criteria Decision Approach by Gunjan Adhikari, Khagendra Prasad Joshi, Dristee Chad, Ashish Ghimire, Sandeep Mahara

“…The selected fire incidents were analyzed using fire points produced by the moderate resolution imaging spectroradiometer (MODIS) sensor. Following the analytic hierarchy process (AHP) approach, this research investigates topographic, climatic, biophysical, and anthropogenic variables to create a fire risk map. …”
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Utilização da realidade virtual na indução de estados afetivos by Ana Nogueira, Bárbara Chyczij, Juliana Carneiro

“…Três questionários foram usados para coletar dados, um sociodemográfico, o POMS, o IPQ e um sensor para medir a condutância da pele. Com a realização do nosso estudo, verificámos que o único efeito estatísitico identificado foi entre os dois cenários de jogos virtuais ao nível da dimensão “Vigor”. …”
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Multimodal Multiobject Tracking by Fusing Deep Appearance Features and Motion Information by Liwei Zhang, Jiahong Lai, Zenghui Zhang, Zhen Deng, Bingwei He, Yucheng He

“…However, most of the existing MOT methods only use a single sensor, such as a camera, which has the problem of insufficient reliability. …”
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Aplicación electrónica para el ahorro de agua en una vivienda familiar by Juan Carlos Cruz-Ardila, Diego Fernando Gómez-Etayo, Luz Karime Sánchez-Mina, Juan Carlos Cuervo-Ballestero

“…Así mismo se hace una descripción de los dispositivos empleados, como son el sensor de nivel, el sistema de control de potencia y el circuito de procesamiento. …”
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Residual Life Prediction of SA-CNN-BILSTM Aero-Engine Based on a Multichannel Hybrid Network by Yonghao He, Changjun Wen, Wei Xu

“…Moreover, multichannel modeling is utilized to achieve the parallel processing of different sensors. Subsequently, the results are stitched together to establish a mapping relationship with the engine’s remaining useful life (RUL). …”
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Simultaneous Measurement of Distributed Temperature and Strain through Brillouin Frequency Shift Using a Common Communication Optical Fiber by Leijun Hu, Liwen Sheng, Jisong Yan, Ligong Li, Ming Yuan, Fude Sun, Fushun Nian, Long Li, Jiaqing Liu, Shuai Zhou, Zhiming Liu

“…A multiparameter Brillouin fiber-optic sensor for distributed strain and temperature information measuring based on spontaneous scattering in a common communication optical fiber (the G. 652. …”
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Knowledge Management in Road Accident Detection Based on Developed Deep Learning by Bvss Subbarao, Ramana K

“…In some instances, the sensors are incapable of detecting an accident. Intelligent phone sensors are a great alternative because of their dependability and availability. …”
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Trust in Intrusion Detection Systems: An Investigation of Performance Analysis for Machine Learning and Deep Learning Models by Basim Mahbooba, Radhya Sahal, Wael Alosaimi, Martin Serrano

“…Two datasets are used to classify the IDS attack type, including wireless sensor network detection system (WSN-DS) and KDD Cup network intrusion dataset. …”
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Temperature and Humidity Monitoring in Hydroponic Cultivation Based on Internet of Things: Dataset Development for Smart Agriculture by Simon Prananta Barus, Jeriko Ichtus Seo

“…The research method includes literature study, hardware development using NodeMCU ESP8266 microcontroller and DHT11 sensor, web-based software development with JavaScript on the Front-End side, PHP on the Back-End side, Apache as Web Server, and MySQL as database management system (DBMS), as well as the implementation stage, integration, system testing and report writing. …”
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Measurement of Naval Ship Responses to Underwater Explosion Shock Loadings by Il-Kwon Park, Jong-Chul Kim, Chin-Woo An, Dae-Seung Cho

“…In this paper, we described the results of measurement of naval ship responses to underwater explosion shock loadings including test planning, sensor locations, data reduction, explosive devices, instrumentation and damage assessments of MSH.…”
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Dataset of polarimetric images of mechanically generated water surface waves coupled with surface elevation records by wave gauges linear arrayScienceDB by Noam Ginio, Michael Lindenbaum, Barak Fishbain, Dan Liberzon

“…To address these challenges a novel method was developed, using polarization filter equipped camera as the main sensor and Machine Learning (ML) algorithms for data processing [1,2]. …”
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Semiactive Vibration Control for Horizontal Axis Washing Machine by Barış Can Yalçın, Haluk Erol

“…A motion (gyroscope and accelerometer) sensor is installed on the top-front panel of the washing machine because a mathematical model of a horizontal axis washing machine suggests that the walking behavior starts around this location under some assumptions, and therefore, calculating the vibrations occurring there is crucial. …”
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A Comprehensive Review of Wind Power Prediction Based on Machine Learning: Models, Applications, and Challenges by Zongxu Liu, Hui Guo, Yingshuai Zhang, Zongliang Zuo

“…Challenges such as data acquisition difficulties, complex terrain influences, and sensor quality issues are examined in depth, with proposed solutions discussed. …”
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