El uso de la metodología DEA (Data Envelopment Analysis) para la evaluación del impacto de las TIC en la productividad del sector hotelero by Cidália Leal Paço, Juan Manuel Cepeda Pérez

“…El DEA (Análisis Envolvente de Datos) permite la utilización de múltiples inputs y outputs sin imponer ninguna forma funcional a los datos o hacer suposiciones de ineficiencia. …”
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Performance Investigation of Air Velocity Effects on PV Modules under Controlled Conditions by Muzaffar Ali, Muhammad Hasan Iqbal, Nadeem Ahmed Sheikh, Hafiz M. Ali, M. Shehryar Manzoor, Muhammad Mahabat Khan, Khairul Fikri Tamrin

“…The parameters investigated include the surface temperature variation, power output, and efficiency of PV modules under varying air velocity from near zero (indoor lab. conditions) to 15 m/s. …”
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Screening of multi deep learning-based de novo molecular generation models and their application for specific target molecular generation by Yishu Wang, Mengyao Guo, Xiaomin Chen, Dongmei Ai

“…Moreover, we propose an integrated end-to-end neural network learning framework based on one complete encoder-decoder architecture transformer model: Transfer Text-to-Text Transformer (T5), by learning the embedding vector representation space of conditional molecular properties to encode and guide the vector representation of SMILES sequences, resulting in the output of the final decoder block with a softmax output (maximum likelihood objective). …”
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Estimation and identification of parameters in a lumpedcerebrovascular model by Scott R. Pope, Laura M. Ellwein, Cheryl L. Zapata, Vera Novak, C. T. Kelley, Mette S. Olufsen

“…To estimate the model parameters we usenonlinear optimization combined with sensitivity analysis and subset selection.Sensitivity analysis allows us to rank model parameters from the most to theleast sensitive with respect to the output states (cerebral blood flowvelocity and arterial blood pressure). …”
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Influence of pre-processing criteria on analysis of accelerometry-based physical activity. by Bing Han, Lilian Perez, Deborah A Cohen, Rachana Seelam, Kathryn P Derose

“…<h4>Results</h4>Many pre-processing criteria have minimum impact to the output of interest. However, requirements for minimum wear-time can have high influence on subsequent analyses for MVPA. …”
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Optimization of Neurons Number in Artificial Neural Network Model for Predicting the Power Production of PV Module by Hussain Hamdi Khalaf, Ali Nasser Hussain, Zuhair S. Al-Sagar, Abdulrahman Th. Mohammad, Hilal A. Fadhil

“…Three weather parameters, including: (solar radiation, ambient temperature, and wind speed), the output electrical characteristics of the PV module (voltage, current, power), and module temperature (were measured. …”
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Bottom-Up Abstract Modelling of Optical Networks-on-Chip: From Physical to Architectural Layer by Alberto Parini, Luca Ramini, Fabio Lanzoni, Gaetano Bellanca, Davide Bertozzi

“…In this procedure, a complex network is decomposed into elementary switching elements whose input-output behavior is described by means of scattering parameters models. …”
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Vibration Analysis and Optimal Control of Hydraulic Turbine Based on Sliding Mode Control Strategy by Xiaoping Huang, Yaqiong Zhang, Wenzhe Huang

“…By incorporating the angle and voltage variables into the sliding mode function design, the influence of controller output on system damping is improved, and the stability of working angle output is improved. …”
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Parallelized Field-Programmable Gate Array Data Processing for High-Throughput Pulsed-Radar Systems by Aaron D. Pitcher, Mihail Georgiev, Natalia K. Nikolova, Nicola Nicolici

“…It is demonstrated that the FPGA data-processing speed matches that of the radar output, thus eliminating data loss. The radar system achieves a remarkable speed of over 9000 waveforms per second on each channel. …”
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Decoupling of muscle‐tendon unit and fascicle velocity contributes to the in vivo stretch‐shortening cycle effect in the male human triceps surae muscle by Denis Holzer, Daniel Hahn, Ansgar Schwirtz, Tobias Siebert, Wolfgang Seiberl

“…Abstract During the shortening of stretch‐shortening cycles (SSCs), muscle force output is enhanced compared with pure shortening (SHO), referred to as the SSC‐effect. …”
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Dispersion modeling of NOx from stacks of cracking furnaces of OLEFIN unit using AERMOD by Iman Jalali, Somayeh Tourani

“…Since the prevailing wind is from the northwest, NOX does not significantly affect populated centers. Additionally, the output concentrations did not exceed the standard limits in all urban and residential areas. …”
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Improving the Control Strategy of the DVR Compensator Based on an Adaptive Notch Filter with an Optimized PD Controller Using the IGWO Algorithm by Mohammed M. Alrashed, Aymen Flah, Masoud Dashtdar, Claude Ziad El-Bayeh, Mohamed F. Elnaggar

“…The capacitor current of the output filter in this structure is fed back to the control system and from the current mode control in the inner loop to boost stability. …”
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Effects of channel-land configuration on temperature-driven water transport in cathode gas diffusion layer of PEMFC by Yiming Xu, Yun Zhang, Jieqing Zheng, Zhifeng Xia

“…After the current loading, the output voltage experiences an undershoot and then undergoes a slow rising and gradual falling process until remaining stable. …”
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A Review on Machine Learning Application in Biodiesel Production Studies by Yuanzhi Xing, Zile Zheng, Yike Sun, Masoome Agha Alikhani

“…Fatty methyl acid ester stands as the output parameter, and the input parameters include oil and catalyst type, methanol-to-oil ratio, catalyst concentration, reaction time, domain, and frequency. …”
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Evaluasi Pelaksanaan Program Pencegahan Stunting Ditinjau dari Intervensi Gizi Spesifik Gerakan 1000 HPK Di Puskesmas Pegang Baru Kabupaten Pasaman by Gina Muthia, Edison Edison, Eny Yantri

“…Komponen proses; perencanaan belum dilakukan secara buttom up dan belum semua intervensi gizi spesifik mempunyai pencatatan pelaporan. Komponen output; balita yang mendapat kapsul vitamin A dan bumil Kurang Energi Kronis (KEK) yang mendapat PMT sudah memenuhi target capaian dan masih ada program intervensi gizi spesifik yang dillaksanakan tidak bisa dievaluasi. …”
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Design of multi-innovation hierarchical fractional adaptive algorithm for generalized bilinear-in-parameter system using the key term separation principle by Yancheng Zhu, Huaiyu Wu, Zhihuan Chen, Zhenhua Zhu, Yang Chen, Xiujuan Zheng

“…The K-MHFLMS expands the scalar innovation into the vector innovation by making full use of the system input and output data information at each recursive step. The detailed performance analyses of the K-MHFLMS strategy are compared with the K-HFLMS algorithm for GBIP identification model based on the Fitness metrics, the mean square error metrics and the average predicted output error. …”
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Quantifying the pyroelectric and photovoltaic coupling series of ferroelectric films by Chaosheng Hu, Xingyue Liu, Huiyu Dan, Chong Guo, Maoyi Zhang, Chris R. Bowen, Ya Yang

“…By experimentally measuring and quantitatively ranking the evaluation metrics, the influence of coupling effects on the output charge and the energy harvesting capabilities of various ferroelectric films can be readily visualized. …”
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ANALYTICAL SYNTHESIS OF FORCED PULSE ELECTRONIC DRIVE CONTROL OF A TRACKING SYSTEM by A. S. Abufanas, A. A. Lobaty, Y. F. Yacina

“…Qualitative illustrations of the operability of the proposed approach, obtained by modeling in the Mathcad environment, and quantitative characteristics of the change in the input and output signals of the hypothetical control system are presented. …”
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Improving photovoltaic performance through doped graphene heterostructure modules by Mansi Rana, Preetika Sharma

“…Additionally, its potential for high power conversion efficiency (ŋ), fill factor (FF), and maximum power output (Pmax) is evaluated using the one-diode model in MATLAB. …”
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Comparison of Low‐Latitude Ionospheric Scintillation Forecasting Techniques Using a Physics‐Based Model by L. D. Nugent, S. Elvidge, M. J. Angling

“…Therefore, this approach could be applied using an ionospheric data assimilation model whereas the majority of these models do not provide output for all variables required for RTGR forecasting. …”
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