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  1. 41

    An optimal fractional-order accumulative Grey Markov model with variable parameters and its application in total energy consumption by Dewang Li, Meilan Qiu, Shuiping Yang, Chao Wang, Zhongliang Luo

    Published 2023-09-01
    “…In this paper, we propose an optimal fractional-order accumulative Grey Markov model with variable parameters (FOGMKM (1, 1)) to predict the annual total energy consumption in China and improve the accuracy of energy consumption forecasting. …”
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    Article
  2. 42

    Total energy expenditure and physical activity measured with the bicarbonate-urea method in patients with human immunodeficiency virus infection. by Paton, N, Elia, M, Jebb, SA, Jennings, G, Macallan, D, Griffin, G

    Published 1996
    “…Our objectives were to measure total energy expenditure, the daily variation in total energy expenditure and the physical activity level in a group of HIV-positive subjects using the bicarbonate-urea method. …”
    Journal article
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    Can China Meet Its 2030 Total Energy Consumption Target? Based on an RF-SSA-SVR-KDE Model by Xiwen Cui, Xinyu Guan, Dongyu Wang, Dongxiao Niu, Xiaomin Xu

    Published 2022-08-01
    “…In order to accurately predict China’s future total energy consumption, this article constructs a random forest (RF)–sparrow search algorithm (SSA)–support vector regression machine (SVR)–kernel density estimation (KDE) model to forecast China’s future energy consumption in 2022–2030. …”
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    Article
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    Creatine monohydrate intervention on the cardiovascular fitness, body composition, aerobic and anaerobic performance and total energy expenditure among adults by Amani, Alireza

    Published 2012
    “…Significant effect of creatine supplement on the total energy expenditure during high intensity aerobic exercise was also revealed. …”
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    Thesis
  8. 48

    Improved Prediction of Total Energy Consumption and Feature Analysis in Electric Vehicles Using Machine Learning and Shapley Additive Explanations Method by Sugam Pokharel, Pradip Sah, Deepak Ganta

    Published 2021-06-01
    “…In this paper, machine learning (ML) models such as multiple linear regression (MLR), extreme gradient boosting (XGBoost), and support vector regression (SVR) were used to investigate the total energy consumption (TEC) by the EVs. The independent variables used for the study include changing real-life situations or external parameters, such as trip distance, tire type, driving style, power, odometer reading, EV model, city, motorway, country roads, air conditioning, and park heating. …”
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    Article
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    A segmented total energy detector (sTED) for (n, γ) cross section measurements at n_TOF EAR2 by Alcayne V., Cano-Ott D., Garcia J., González-Romero E., Martínez T., Mendoza E., Sánchez A., Plaza J., Balibrea-Correa J., Casanovas A., Domingo-Pardo C., Lerendegui-Marco J., Aberle O., Altieri S., Amaducci S., Amar Es-Sghir H., Andrzejewski J., Babiano-Suarez V., Bacak M., Balibrea J., Bennett S., Bernardes A. P., Berthoumieux E., Bosnar D., Busso M., Caamaño M., Calviño F., Calviani M., Cano-Ott D., Casanovas A., Castelluccio D. M., Cerutti F., Cescutti G., Chasapoglou S., Chiaveri E., Colombetti P., Colonna N., Console Camprini P. C., Cortés G., Cortés-Giraldo M. A., Cosentino L., Cristallo S., Di Castro M., Diacono D., Diakaki M., Dietz M., Domingo-Pardo C., Dressler R., Dupont E., Durán I., Eleme Z., Fargier S., Fernández-Domínguez B., Finocchiaro P., Fiore S., Furman V., García-Infantes F., Gawlik-Ramięga A., Gervino G., Gilardoni S., González-Romero E., Guerrero C., Gunsing F., Gustavino C., Heyse J., Jenkins D. G., Jericha E., Junghans A., Kadi Y., Katabuchi T., Knapová I., Kokkoris M., Kopatch Y., Krtička M., Kurtulgil D., Ladarescu I., Lederer-Woods C., Lerendegui-Marco J., Lerner G., Manna A., Martínez T., Masi A., Massimi C., Mastinu P., Mastromarco M., Matteucci F., Maugeri E. A., Mazzone A., Mendoza E., Mengoni A., Michalopoulou V., Milazzo P. M., Mucciola R., Murtas† F., Musacchio-Gonzalez E., Musumarra A., Negret A., Oprea A., Pérez-Maroto P., Patronis N., Pavón-Rodríguez J. A., Pellegriti M. G., Perkowski J., Petrone C., Piersanti L., Pirovano E., Pomp S., Porras I., Praena J., Protti N., Quesada J. M., Rauscher T., Reifarth R., Rochman D., Romanets Y., Romano F., Rubbia C., Sánchez A., Sabaté-Gilarte M., Schillebeeckx P., Schumann D., Sekhar A., Smith A. G., Sosnin N. V., Spelta M., Stamati M. E., Tagliente G., Tarifeño-Saldivia A., Tarrío D., Terranova N., Torres-Sánchez P., Urlass S., Valenta S., Variale V., Vaz P., Vescovi D., Vlachoudis V., Vlastou R., Wallner A., Woods P. J., Wright T., Žugec P.

    Published 2023-01-01
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    Article
  11. 51

    Federated Learning Resource Optimization and Client Selection for Total Energy Minimization Under Outage, Latency, and Bandwidth Constraints With Partial or No CSI by Mohamed Hany Mahmoud, Abdullatif Albaseer, Mohamed Abdallah, Naofal Al-Dhahir

    Published 2023-01-01
    “…We consider the problem of minimizing the total energy consumption due to the computation and communication tasks of federated learning (FL) under bandwidth and latency constraints. …”
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    Article
  12. 52

    Balancing the scales: Preliminary investigation of total energy expenditure and daily metabolizable energy intake in Matschie's tree kangaroo (Dendrolagus matschiei). by Noah T Dunham, Diana C Koester, Ellen S Dierenfeld, Rebecca Rimbach, Herman Pontzer

    Published 2022-01-01
    “…To better assess potential discrepancies between energy requirements and energy intake, we sought to 1) quantify total energy expenditure (TEE) of two zoo-housed Matschie's tree kangaroos (body mass = 9.0-9.7 kg) on a diet composed largely of leafy browse; 2) quantify food and macronutrient intake, apparent dry matter macronutrient digestibility, and metabolizable energy (ME) intake over a 14-month period; and 3) test for seasonal changes in ME intake due to seasonal differences in the varieties of leafy browse offered. …”
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    Article
  13. 53

    Total energy expenditure in patients with small-cell lung cancer: results of a validated study using the bicarbonate-urea method. by Gibney, E, Elia, M, Jebb, SA, Murgatroyd, P, Jennings, G

    Published 1997
    “…The physical activity level ([PAL] the ratio of total energy expenditure [TEE] to BMR) was variable (1.15 to 1.87), but the mean value was only 1.36 +/- 0.22, considerably less than that of moderately active healthy subjects with estimated PAL values of 1.55 (P < .05) to 1.65 (P < .01) and the mean results obtained by doubly labeled water (previous studies) in healthy age- and sex-matched subjects. …”
    Journal article
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    Changes in Total Energy, Nutrients and Food Group Intake among Children and Adolescents during the COVID-19 Pandemic—Results of the DONALD Study by Ines Perrar, Ute Alexy, Nicole Jankovic

    Published 2022-01-01
    “…Polynomial mixed-effects regression models were used to identify prospective changes in dietary intake (total energy (TEI), carbohydrates, fat, protein, free sugar, ultra-processed foods, fruits and vegetables, sugar sweetened beverages and juices) before and during the first months of the COVID-19 pandemic. …”
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    Article
  17. 57

    Estimating Total Energy Expenditure for Fire-Fighters during Large Scale Disaster Response Training Using a Tri-Axial Accelerometer by Nao Koizumi, Yutaro Negishi, Hitomi Ogata, Randeep Rakwal, Naomi Omi

    Published 2021-08-01
    “…The present study was conducted to estimate total energy expenditure (TEE) of fire-fighters using tri axial-accelerometers in conjunction with an activity log survey on a large number of subjects undergoing training mimicking a large-scale disaster. …”
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    Article
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    Use of the activPAL® triaxial accelerometer to estimate total energy expenditure in low-income women: differences between body mass index classifications by Mateus de Lima Macena, Déborah Tenório da Costa Paula, André Eduardo da Silva Júnior, Dafiny Rodrigues Silva Praxedes, Karina Pfrimer, Eduardo Ferriolli, Telma Maria de Menezes Toledo Florêncio, Nassib Bezerra Bueno

    Published 2023-06-01
    “…ABSTRACT Objective: This study aimed to assess the agreement between the total energy expenditure (TEE) estimated by the activPAL® triaxial accelerometers (ACC) and the TEE measured by the doubly labeled water method (DLW), as well as to assess if these values differ between the classifications of body mass index (BMI). …”
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    Article
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