Vortex gust mitigation from onboard measurements using deep reinforcement learning by Brice Martin, Thierry Jardin, Emmanuel Rachelson, Michael Bauerheim

“…To be optimal, we show that the controller must take as inputs the locations and circulations of the gust vortices, but these quantities are not directly observable from the onboard sensors. We therefore propose to use a Kalman particle filter (KPF) to estimate the gust vortices online from the onboard measurements. …”
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Effect of Fe Doping on Photocatalytic Dye-Degradation and Antibacterial Activity of SnO2 Nanoparticles by T. Preethi, K. Senthil, M. P. Pachamuthu, R. Balakrishnaraja, B. Sundaravel, N. Geetha, Stefano Bellucci

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Pioneering Role of Nanopore Single-Molecule Sensing in Environmental and Food Surveillance by Wenqiang Tian, Xu Wang, Yan Zhang, Ting Weng, Tlili Chaker, Xiaohan Chen, Qingke Kong, Deqiang Wang

“…Numerous biosensors have been developed for identifying deleterious compounds; however, these biosensors reveal certain limitations. Nanopore sensors, featuring nano-scaled pore size, have demonstrated outstanding performance in terms of rapidity, sensitivity, and selectivity as a single-molecule technique for environmental and food surveillance. …”
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Real-time adaptive optics for high-power laser beam correction in the strong turbulence by A.L. Rukosuev, A.N. Nikitin, I.V. Galaktionov, Y.V. Sheldakova, A.V. Kudryashov

“…The control loop includes two quadrant sensors and an FPGA (field-programmable gate array) that closes the feedback loop. …”
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Research on Concrete Beam Damage Detection Using Convolutional Neural Networks and Vibrations from ABAQUS Models and Computer Vision by Xin Bai, Zi Zhang

“…Moreover, some researchers have employed image-based displacement sensors (such as the template matching and edge detection methods) to obtain structural vibration information. …”
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Real-Time Fall Risk Assessment Using Functional Reach Test by Brian Williams, Brandon Allen, Zhen Hu, Hanna True, Jin Cho, Austin Harris, Nancy Fell, Mina Sartipi

“…In order to meet these requests, we explore the Functional Reach Test (FRT) for real-time fall risk assessment and implement the FRT function in mStroke, a real-time and automatic mobile health system for poststroke recovery and rehabilitation. mStroke is designed, developed, and delivered as an Application (App) running on a hardware platform consisting of an iPad and one or two wireless body motion sensors based on different mobile health functions. …”
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Cost-Effective Drone Survey of Areas with Elevated Background Radiation by Hédi Katreiner, Béla Kovács, Ákos Horváth, Szabolcs Tóth, Fanni Vörös

“…Many studies have been conducted, most of them using expensive sensors. The present research aims to investigate the applicability of an affordable radiation detector in areas where anomalies from natural sources occur. …”
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Electric Signals on and under the Ground Surface Induced by Seismic Waves by Akihiro Takeuchi, Kan Okubo, Nobunao Takeuchi

“…We constructed three observation sites in northeastern Japan (Honjo, Kyowa, and Sennan) with condenser-type large plate electrodes (4 × 4 m2) as sensors supported 4 m above the ground and with pairs of reference electrodes buried vertically at 0.5 m and 2.5 m depth (with a ground velocity sensor at Sennan only). …”
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Influence of Splitter Blades on the Flow Field of a Centrifugal Pump: Test-Analysis Comparison by G. Kergourlay, M. Younsi, F. Bakir, R. Rey

“…The pressure fluctuations are measured at four locations at the BEP using dynamic pressure sensors. The experimental results match the numerical predictions, so that the effect of adding splitter blades on the pump is acknowledged. …”
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Low-Power Wake-Up Receivers for Resilient Cellular Internet of Things by Siyu Wang, Trevor J. Odelberg, Peter W. Crary, Mason P. Obery, David D. Wentzloff

“…Smart Cities leverage large networks of wirelessly connected nodes embedded with sensors and/or actuators. Cellular IoT, such as NB-IoT and 5G RedCap, is often preferred for these applications thanks to its long range, extensive coverage, and good quality of service. …”
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Quantifying Older Adults’ Spatial Perceptions of Outdoor Activity Areas for Embedded Retirement Facilities by Guannan Fu, Yinan Gai, Liqun Xiang, Lin Lin

“…Three kinds of outdoor activity areas in a coastal city in eastern China were investigated, and older adults’ physiological data were collected through real environments from wearable sensors. Their subjective perception data were collected through subjective satisfaction questionnaires. …”
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Estimation of Gait Parameters for Transfemoral Amputees Using Lower Limb Kinematics and Deterministic Algorithms by Zohaib Aftab, Gulraiz Ahmed, Asad Ali, Nazia Gillani

“…Kinematics-based gait event estimation has shown potential in this regard, particularly using leg and foot velocity signals and gyroscopic sensors. However, existing algorithms demonstrate a varying degree of accuracy for different populations. …”
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Agricultural sustainability through Smart Farming Systems: A comparative Analysis Between the Republic of Korea and Republic of Uganda. by Happy, Kenneth, Gang, Roggers, Ban, Yeongjun, Yang, Sungyu, Rahmat, Endang, Okello, Denis, Komakech, Richard, Cyrus, Okello, Okello, Kalule David, Kang, Youngmin

“…Smart farming involves the integration of information and communication technologies into machinery and sensors for use in agricultural systems. It is expected to potentially enhance the sustainability of agriculture and global food security. …”
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Machine learning approach for predicting tramp elements in the basic oxygen furnace based on the compiled steel scrap mix by Michael Schäfer, Ulrike Faltings, Björn Glaser

“…The study shows that it is possible to predict the chemical element content for tramp elements in the converter based solely on data available in advance and routinely collected without the necessity of additional sensors or analysis of input material. Given the nature of scrap classifications for (external) scrap types, this is non-trivial. …”
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GS-LinYOLOv10: A drone-based model for real-time construction site safety monitoring by Yang Song, ZhenLin Chen, Hua Yang, Jifei Liao

“…The integration of IoT sensors allows the drone system to dynamically adjust its monitoring focus, improving adaptability to changing environments and enhancing hazard detection. …”
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Multilevel Bloom Filters for P2P Flows Identification Based on Cluster Analysis in Wireless Mesh Network by Xia-an Bi, Xiaohui Wang, Luyun Xu, Sheng Chen, Hong Liu

“…Then we deploy our flow identification algorithm in the traffic monitoring sensors which belong to the network traffic monitoring system at the export link in the campus network. …”
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Assessment of land cover/land use changes using object-oriented processing of satellite imageries (1985-2015) in the Rozechai Watershed of Urmia by Khadijeh Haji, Abazar Esmali-Ouri, Raoof Mostafazadeh, Habib Nazarnejad

“…The purpose of the present study was to evaluate land cover/ land use changes at the Rozechai Watershed during the period of 30-years 1985-2015 using Landsat 5 and Landsat 7 satellite imageries such as TM and ETM+ sensors; plus, land use maps were prepared using TerrSet software and object-oriented classification in 1985 and 2000 years. …”
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A segmentation method for LiDAR point clouds of aerial slender targets by Birong Huang, Zilong Wang, Jianhua Chen, Bingyang Zhou, Hao Ma

“…Unmanned aerial vehicles (UAV) can sense the surrounding environment through LiDAR and image sensors to make autonomous flight decisions. In this process, aerial slender targets, such as overhead power lines, pose a threat to the flight safety of UAVs. …”
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Fitting of Soil-Water Characteristic Curves (SWCC) of Bukit Mewah, Malaysia soil using field monitoring dataset. by Faris Shazani Suhaizan, Aizat Mohd Taib, Mohd Raihan Taha, Dayang Zulaika Abang Hasbollah, Aniza Ibrahim, Mohd Firdaus Md Dan, Alfrendo Satyanaga

“…The dispersion of the data set is mainly due to the sensors' inability to detect effectively at exceedingly high matric suction and zero matric suction. …”
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Data-Driven Technology in Event-Based Vision by Ruolin Sun, Dianxi Shi, Yongjun Zhang, Ruihao Li, Ruoxiang Li

“…Thanks to the preponderance of deep learning techniques and the compatibility between bio-inspired spiking neural networks and event-based sensors, data-driven approaches have become a hot spot, which along with the dedicated hardware and datasets constitute an emerging field named event-based data-driven technology. …”
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