A Parallel Plate Variable Capacitor-Based Wind Pressure Sensor: Closed-Form Solution and Numerical Design and Calibration by Xiao-Ting He, Jun-Song Ran, Jing-Miao Yin, Jun-Yi Sun, Ying Guo

“…The analytical relationship between the input pressure and output capacitance of the capacitive wind pressure sensor proposed here is derived. …”
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Kinematic analysis, methods and experimental studies of robot navigator movements on mecanum wheels by Sladkova L.A., Pshibiev A.M.

“…The kinematic analysis made it possible to carry out a qualitative and quantitative assessment of the features of the movement of the platform behavior in space with various input data. …”

Two-Step Contrast Source Learning Method for Electromagnetic Inverse Scattering Problems by Anran Si, Miao Wang, Fuping Fang, Dahai Dai

“…In the first step, a contrast source network based on the CNNs architecture takes the determined part of the contrast source as input and then outputs an estimate of the total contrast source. …”
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MODELING OF POWER SYSTEMS AND TESTING OF RELAY PROTECTION DEVICES IN REAL AND MODEL TIME by I. V. Novash

“…The methods of modelling of power system modes and of testing of relay protection devices with the aid the simulation complexes in real time and with the help of computer software systems that enables the simulation of virtual time scale are considered. Information input protection signals in the simulation of the virtual model time are being obtained in the computational experiment, whereas the tests of protective devices are carried out with the help of hardware and software test systems with the use of estimated input signals. …”
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Comparative Analysis of Transfer Function Method with Advanced Flood Prediction Techniques by Jafar Chabokpour

“…The sensitivity analysis returned variable model responses to the quality of the input data; an input variation of 20% reduced the NSE of the Saint-Venant model to 0.73 and that of the Transfer Function to 0.44. …”
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Participatory Planning in Village Spatial Development : Creating Comprehensive Spatial Planning Documents to Enhance Investment and Development Potentials by Ahmad Amri Nur, Dian Sandri, Naufal Haidar Ahmada, Revi Aulia Purbandini, Purwati Purwati

“…The service partners include village officials and community representatives, who provide data, input, and aspirations that are important for the planning process. …”
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Performance Analysis of Automated Parcel Lockers in Urban Delivery: Combined Agent-Based–Monte Carlo Simulation Approach by Eugen Rosca, Florin Rusca, Mircea Augustin Rosca, Aura Rusca

“…<i>Conclusions</i>: The versatility of the simulation model in terms of input variables makes it a useful decision support tool for planning by highlighting quantitative assessments, organizing delivery activity, along with influences due to customer behavior changes.…”
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Parametric Stochastic Frontier Approach To Measure Efficiency Pre-And-Post-Merger Bank Syariah Indonesia by Mella Katrina Sari, Saniman Widodo, Suryani Sri Lestari, Mustika Widowati, Siti Hasanah

“…The research focused on input variables such as total fixed assets, third-party funds, operating costs, and financing. …”
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Motion correction in MR image for analysis of VSRAD using generative adversarial network. by Nobukiyo Yoshida, Hajime Kageyama, Hiroyuki Akai, Koichiro Yasaka, Haruto Sugawara, Yukinori Okada, Akira Kunimatsu

“…Supervised deep learning was employed to obtain a Pix2Pix that generates motion-corrected images, with artifact images as the input data and original images as the reference data. …”
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Estimation of Leaf Chlorophyll Content of Maize from Hyperspectral Data Using E2D-COS Feature Selection, Deep Neural Network, and Transfer Learning by Riqiang Chen, Lipeng Ren, Guijun Yang, Zhida Cheng, Dan Zhao, Chengjian Zhang, Haikuan Feng, Haitang Hu, Hao Yang

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Exploration of the Effects of Telerehabilitation in a School-Based Setting for At-Risk Youth by Sara Benham, Varleisha Gibbs

“…A collaborative, consultative telerehabilitation model may be a promising delivery mode of services for improving motor skills in children, with frequent input from the child, aide or teacher, and clinician. …”
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Efficiency of Visually-Guided Discovery-Learning System for High School by Huynh Cam Ngoc Thi, Nguyen Hong, Vinh Tran Phuoc

“…This research surveys the input and output of the system, and analyses the factors affecting them, to constitute the mathematically quantitative model evaluating the efficiency of the system.…”
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Assessing the accuracy of human-inspired electronic skin: A systematic review by Fahad AlShaibani, Vicente Grau, Jeroen Bergmann

“…Being able to mimic the sophisticated ability for human hands to complete complex tasks of dexterity, using an e-skin as essential input system, is the goal of many research groups. …”
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First Global Machine Learning Model to Predict the Rate of TEC Index (ROTI) Response to X‐Class Solar Flares by A. Mahmoudian, F. Ghorbali, M. Vazifehkhah Hafteh

“…Solar flare parameters measured by the GOES satellite along with solar radiation angle and ROTI data from 5‐degree latitude ranges are selected as an input to the ML model. Thek‐nearest neighbors and random forest algorithms are used. …”
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Decoding vegetation's role in landslide susceptibility mapping: An integrated review of techniques and future directions by Yangyang Li, Wenhui Duan

“…While aggregated roles are integrated into non-deterministic methods as input layers, individual roles are considered in deterministic methods. …”
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Maintaining Agricultural Production Profitability—A Simulation Approach to Wheat Market Dynamics by Agnieszka Bezat-Jarzębowska, Włodzimierz Rembisz, Sebastian Jarzębowski

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Research on Reservoir Hydrocarbon-Bearing Property Identification Method Based on Logging Data and Machine Learning by Chunyong Yu, Kaixuan Qu, Li Peng

“…Lastly, the importance of each input feature was analyzed. The results showed that the combination of quantitative fluorescence logging and Rock-Eval pyrolysis as inputs with the random forest model could achieve the best classification performance, with a macro F1 score of 95.36%. …”
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GraphVelo allows for accurate inference of multimodal velocities and molecular mechanisms for single cells by Yuhao Chen, Yan Zhang, Jiaqi Gan, Ke Ni, Ming Chen, Ivet Bahar, Jianhua Xing

“…Here, we present GraphVelo, a graph-based machine learning procedure that uses as input the RNA velocities inferred from existing methods and infers velocity vectors lying in the tangent space of the low-dimensional manifold formed by the single cell data. …”
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Community Health Worker Diabetes Prevention Awareness Training in an Immersive Virtual World Environment: Mixed Methods Pilot Study by Laurie Ruggiero, Lauretta Quinn, Amparo Castillo, Colleen Monahan, Leticia Boughton Price, Wandy Hernandez

“…Results of the posttraining acceptability and feasibility quantitative survey and qualitative feedback were generally positive. …”
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Cultural heritage reuse applying fuzzy expert knowledge and machine learning: Venice’s fortresses case study by Nicola Camatti, Giacomo di Tollo, Francesco Gastaldi, Federico Camerin

“…This paper presents a comparative analysis of two quantitative models for evaluating the reuse of cultural heritage, using fortified sites in a monofunctional city dedicated to cultural tourism, such as Venice, as a case study. …”
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