Blood Glucose Control Using a Novel Continuous Blood Glucose Monitor and Repetitive Intravenous Insulin Boluses: Exploiting Natural Insulin Pulsatility as a Principle for a Future... by Nils K. Skjaervold, Dan Östling, Dag R. Hjelme, Olav Spigset, Oddveig Lyng, Petter Aadahl

“…The main obstacles were the drift of the IvS-1 sensor and problems with the calibration procedure, which calls for an improvement in the sensor stability before this method can be applied fully in new studies in animals and humans.…”
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Longterm temporal analysis of vegetation cover and soil use on Ilha de Mosqueiro, Belém, Pará, Amazonian Brazil by Larissa de Carvalho Lima, Alberto Bentes Brasil Neto, Cassio Rafael Costa dos Santos, Aline Nascimento Braga, Suany Couto Teixeira Nunes

“…These comprised of Landsat 5 Satellite, Sensor TM, images for the years 1984, 1996 and 2008, and 2014 images from the Landsat Satellite 8, OLI sensor. …”
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Re-calibrating measurements of low-cost air quality monitors using PCR-GPR air quality forecasting models. by Bing Liu, Shuting Yang, Junqi Wang

“…To enhance the measurement accuracy of chemical sensors, this paper presents a calibration method based on the PCR-GPR model. …”
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Automatic Distance Monitoring System of Contact Connections in High Voltage Equipment of Electric Power Lines by M. D. Diachenko, Yu. A. Teslia

“…The developed automatic distance monitoring system of contact connections in high voltage equipment is based on technology of sensor circuits. The paper shows application of control methodology for contact connections in accordance with time rate of conductor temperature changes and contact connection and also direct measurement of transient resistance.…”
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Smart Irrigation Controllers: What Makes an Irrigation Controller Smart? by Michael D. Dukes

“…It describes two basic types of irrigation controllers that reduce outdoor water use by monitoring and using information about site conditions: evapotranspiration controllers and soil moisture sensor controllers. Published by the UF Department of Agricultural and Biological Engineering, February 2009. …”
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A structural health monitoring data reconstruction method based on VMD and SSA-optimized GRU model by Xiaoliang Jia, Guoyan Zhang, Zhiqiang Wang, Huacong Li, Jing Hu, Songlin Zhu, Caiwei Liu

“…However, data loss due to sensor failures, transmission interruptions, or hardware issues is a common problem. …”
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NLOS Dies Twice: Challenges and Solutions of V2X for Cooperative Perception by Lantao Li, Wenqi Zhang, Xiaoxue Wang, Tao Cui, Chen Sun

“…Multi-agent multi-sensor fusion between connected vehicles for cooperative perception has recently been recognized as the best technique for minimizing the occluded zone of individual vehicular perception system and further enhancing the overall safety of autonomous driving system. …”
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Smartphone-Based Automated Non-Destructive Testing Devices by V. F. Petryk, A. G. Protasov, R. M. Galagan, A. V. Muraviov, I. I. Lysenko

“…The purpose of this work was to develop an ultrasonic flaw detector, which uses a smartphone to process the test results, as well as transfer them directly to an powerful information processing center, or to a cloud storage to share operational information with specialists from anywhere in the world.The proposed flaw detector consists of a sensor unit and a smartphone. The exchange of information between the sensor and the smartphone takes place using wireless networks that use "bluetooth" technology. …”
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ZleepNet: A Deep Convolutional Neural Network Model for Predicting Sleep Apnea Using SpO2 Signal by Hnin Thiri Chaw, Thossaporn Kamolphiwong, Sinchai Kamolphiwong, Krongthong Tawaranurak, Rattachai Wongtanawijit

“…In this paper, we propose a deep convolutional neural network (CNN) model based on the oxygen saturation (SpO2) signal from a smart sensor. This is the reason why we called ZleepNet a network for sleep apnea detection. …”
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Energy-Optimized Monitoring System for Underground Cave Environments Based on Long Preamble LoRa by Mattia Ragnoli, Gianluca Barile, Alfiero Leoni, Stefano Ricci, Vincenzo Stornelli

“…The proposed network is composed of sensor nodes that are placed along a portion of the cave to form a linear structure. …”
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Forecasting mental states in schizophrenia using digital phenotyping data. by Thierry Jean, Rose Guay Hottin, Pierre Orban

“…The CrossCheck dataset includes 6,364 mental state surveys using 4-point ordinal rating scales and 23,551 days of smartphone sensor data contributed by patients with schizophrenia. …”
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Assessment of Radiometric Calibration Consistency of Thermal Emissive Bands Between Terra and Aqua Moderate-Resolution Imaging Spectroradiometers by Tiejun Chang, Xiaoxiong Xiong, Carlos Perez Diaz, Aisheng Wu, Hanzhi Lin

“…Moderate-Resolution Imaging Spectroradiometer (MODIS) sensors onboard the Terra and Aqua spacecraft have been in orbit for over 24 and 22 years, respectively, providing continuous observations of the Earth’s surface. …”
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Digital Radiography for Determination of Primary Tooth Length: In Vivo and Ex Vivo Studies by Maria D. Basso, Fabiano Jeremias, Rita C. L. Cordeiro, Lourdes Santos-Pinto

“…Direct digital radiographs of 20 upper primary incisors were performed in teeth (2/3 radicular resorption) that were radiographed by an intraoral sensor, according to the long-cone technique. Teeth were extracted, measured, and mounted in a resin block, and then radiographic template was used to standardise the sensor-target distance (30 cm). …”
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Improvement of the technology of flame arrester manufacturing by K. N. Pantyukhova, O. Yu. Bourgonova, Yu. O. Filippov, G. P. Ulyasheva

“…The sensor is placed in a breathable housing. This body is called a flame arrester. …”
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Noninvasive Evaluation of the Biomechanical Accommodations to Bolus Volume during Human Swallowing by Qiang Li, Kazuhiro Hori, Kazuhiro Murakami, Yoshitomo Minagi, Yoshinobu Maeda, Yongjin Chen, Takahiro Ono

“…The sensing system consisted of a tongue pressure sensor sheet, bend sensor, surface electrodes, and a microphone. …”
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Implementation of Fuzzy Logic in the Monitoring and Controlling System for Temperature and pH of Fry Aquarium Water Betta Fish Based on the Internet of Things by Rico Wahyudi, Aulia Ullah, Hilman Zarory, Ahmad Faizal

“…The components used in this system include ESP32, DS18B20 temperature sensor, water pH sensor, Thermo Electric Cooler (TEC), heater, DC pump, and fuzzy logic implementation. …”
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Optimizing alpha–beta filter for enhanced predictions accuracy in industrial applications using Mamdani fuzzy inference system by Junaid Khan, Muhammad Fayaz, Umar Zaman, Eunkyu Lee, Awatef Salim Balobaid, Muhammad Bilal, Kyungsup Kim

“…To illustrate our approach and simplify the demonstration, we selected two types of sensors: temperature and humidity. The model efficiently processes input from these sensors, refining the sensor data to filter out noise and improve prediction accuracy. …”
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From Data to Decisions: A Smart IoT and Cloud Approach to Environmental Monitoring by Guerbaoui Mohammed, El Faiz Samira, Ed-Dahhak Abdelali, Lachhab Abdeslam, Benhala Bachir, Bakziz Zakaria, Ichou Ismail, Selmani Abdelouahed

“…The system consists of a network of sensor nodes deployed in the target environment, comprising ESP32 microcontrollers and DHT11 sensors for data collection. …”
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Association of Acinetobacter baumannii EF-Tu with Cell Surface, Outer Membrane Vesicles, and Fibronectin by Shatha F. Dallo, Bailin Zhang, James Denno, Soonbae Hong, Anyu Tsai, Williams Haskins, Jing Yong Ye, Tao Weitao

“…EF-Tu in the OM and the OMV subproteomes bound to fibronectin as detected by Western blot and confirmed by a label-free real-time optical sensor. The sensor that originates from photonic crystal structure in a total-Internal-reflection (PC-TIR) configuration was functionalized with fibronectin for characterizing EF-Tu binding. …”
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RGB-T Object Detection With Failure Scenarios by Qingwang Wang, Yuxuan Sun, Yongke Chi, Tao Shen

“…Currently, RGB-thermal (RGB-T) object detection algorithms have demonstrated excellent performance, but issues such as modality failure caused by fog, strong light, sensor damage, and other conditions can significantly impact the detector's performance. …”
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