The influence of meteorological factors on the technical performance of football teams during matches by Yonghan Zhong, Shaoliang Zhang, Qing Yi, Miguel Ángel Gómez Ruano

“…These findings offer valuable insights for coaches and analysts in comprehending the influence of meteorological conditions on crucial technical variables during the performance evaluation of teams. Moreover, they provide valuable information to help coaches devise appropriate tactics for players before or during a match, considering the potential changes in meteorological conditions.…”
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An Adaptive Handover Prediction Scheme for Seamless Mobility Based Wireless Networks by Ali Safa Sadiq, Norsheila Binti Fisal, Kayhan Zrar Ghafoor, Jaime Lloret

“…Furthermore, handover decisions are performed in each MN independently after knowing RSS, direction toward APs, and AP load. Finally, performance evaluation of the proposed scheme shows its superiority compared with representatives of the prediction approaches.…”
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CAT-RFE: ensemble detection framework for click fraud by Yixiang LU, Guanggang GENG, Zhiwei YAN, Xiaomin ZHU, Xinchang ZHANG

“…Click fraud is one of the most common methods of cybercrime in recent years, and the Internet advertising industry suffers huge losses every year because of click fraud.In order to effectively detect fraudulent clicks within massive clicks, a variety of features that fully combine the relationship between advertising clicks and time attributes were constructed.Besides, an ensemble learning framework for click fraud detection was proposed, namely CAT-RFE ensemble learning framework.The CAT-RFE ensemble learning framework consisted of three parts: base classifier, recursive feature elimination (RFE) and voting ensemble learning.Among them, the gradient boosting model suitable for category features-CatBoost was used as the base classifier.RFE was a feature selection method based on greedy strategy, which can select a better feature combination from multiple sets of features.Voting ensemble learning was a learning method that combined the results of multiple base classifiers by voting.The framework obtained multiple sets of optimal feature combinations in the feature space through CatBoost and RFE, and then integrated the training results under these feature combinations through voting to obtain integrated click fraud detection results.The framework adopted the same base classifier and ensemble learning method, which not only overcame the problem of unsatisfactory integrated results due to the mutual constraints of different classifiers, but also overcame the tendency of RFE to fall into a local optimal solution when selecting features, so that it had better detection ability.The performance evaluation and comparative experimental results on the actual Internet click fraud dataset show that the click fraud detection ability of the CAT-RFE ensemble learning framework exceeds that of the CatBoost method, the combined method of CatBoost and RFE, and other machine learning methods, proving that the framework has good competitiveness.The proposed framework provides a feasible solution for Internet advertising click fraud detection.…”
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Improvement of thermohydraulic performance of flow based on novel dimpled tubes on response surface methodology and Taguchi technique-fitted experiment design by Ahmed Ramadhan Al-Obaidi, Anas Alwatban

“…The results indicate that there was a high value of higher than one for the performance evaluation factor (PEF). The aforementioned findings suggest that dimple optimization, enhanced heat transfer efficiency, and the flow of hydrodynamic analysis are necessary for a variety of design applications. …”
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Classification of Silicon (Si) Wafer Material Defects in Semiconductor Choosers using a Deep Learning ShuffleNet-v2-CNN Model by Rajesh Doss, Jayabrabu Ramakrishnan, S. Kavitha, S. Ramkumar, G. Charlyn Pushpa Latha, Kiran Ramaswamy

“…This ShuffleNet-v2-CNN performs the defects identification and classification process following the workflow of data preprocessing, data augmentation, feature extraction, and classification. For performance evaluation, the proposed ShuffleNet-v2-CNN is evaluated with performance metrics like accuracy, recall, precision, and f1-score. …”
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A Hybrid Model for Assessing the Performance of Medical Tourism: Integration of Bayesian BWM and Grey PROMETHEE-AL by Chin-Cheng Yang, Chih-Chien Shen, Tso-Yen Mao, Huai-Wei Lo, Chun-Jui Pai

“…The management implications of this study can be used as a basis for performance evaluation by operators and government health care organizations.…”
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Effect of Dynamic Window Opening Behaviors on Indoor Thermal Environment and Energy Consumption in Residential Buildings of Different Chinese Thermal Climate Zones by Fangpeng Guo, Zhenqian Chen, Jun Wang

“…Residential occupant window opening behavior has a significant impact on building design optimization, energy consumption diagnosis, performance evaluation and energy simulation. However, there has not been much research quantifying the evaluation of window opening behaviors’ influence with respect to residential thermal comfort and HVAC energy for different thermal climate zones in China. …”
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Postfire Safety Investigation on Prestressed RPC Beams after Exposure to Elevated Temperatures by Yan Kai, Zhang Yao, Cai Hao, Fan Lili, Xin Zhang

“…The test results of this paper provide a basis for the safety performance evaluation and control of prestressed RPC beams after fire.…”
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Advancing hybrid ventilation in hot climates: a review of current research and limitations by Sheikha Al Niyadi, Mohamed H. Elnabawi Mahgoub, Mohamed H. Elnabawi Mahgoub

“…However, while existing research highlights their potential, variability in reported cooling energy reductions underscores the need for standardized performance evaluation methods.MethodsThis review synthesizes findings from 84 research articles published between 2010 and the first quarter of 2024. …”
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Analysis of the relationship between contingency factors and management accounting practices adopted in the light of contingency theory: a study in hotels in the municipalities of... by Samara Lima Sobrinho, Aldo Leonardo Cunha Callado

“…The results of this study can also be used by managers who seek to mitigate the possible impacts generated by contingencies imposed by the hotel sector, especially technology and performance evaluation. …”
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Study of machine learning techniques for outcome assessment of leptospirosis patients by Andreia Ferreira da Silva, Karla Figueiredo, Igor W. S. Falcão, Fernando A. R. Costa, Marcos César da Rocha Seruffo, Carla Cristina Guimarães de Moraes

“…Using the records contained in the government National System of Aggressions and Notification (SINAN, in portuguese) from 2007 to 2017, for the state of Pará, Brazil, where the temporal attributes of health care, symptoms (headache, vomiting, jaundice, calf pain) and clinical evolution (renal failure and respiratory changes) were used. In the performance evaluation of the selected models, it was observed that the Random Forest exhibited an accuracy of 90.81% for the training dataset, considering the attributes of experiment 8, and the Decision Tree presented an accuracy of 74.29 for the validation database. …”
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Artificial Neural Network-Based System for PET Volume Segmentation by Mhd Saeed Sharif, Maysam Abbod, Abbes Amira, Habib Zaidi

“…This paper presents a novel application of ANNs in the wavelet domain for PET volume segmentation. ANN performance evaluation using different training algorithms in both spatial and wavelet domains with a different number of neurons in the hidden layer is also presented. …”
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Predicting Nanobinder-Improved Unsaturated Soil Consistency Limits Using Genetic Programming and Artificial Neural Networks by Ahmed M. Ebid, Light I. Nwobia, Kennedy C. Onyelowe, Frank I. Aneke

“…The results of the stabilization exercise showed substantial development on the soil properties examined, while the prediction exercise showed that ANN outclassed GP in terms of performance evaluation, which was conducted using sum of squared error (SSE) and coefficient of determination (R2) indices. …”
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Semi-Uniform Metal Foam Distribution in Parabolic Trough Collector: An Experimental Approach for Enhancing Thermal Performance Under Iraqi Weather Conditions by Mustafa F. Hasan, Mohammed A. Nima

“…According to performance evaluation criteria, 10 PPI foam outperforms 40 PPI foam. …”
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Assessment of the G2 model estimations and comparing it with erosion plots and observed sediment data in the Southern Caspian Sea river basins by Khadijeh Haji, Abdulvahed Khaledi Darvishan, Raoof Mostafazadeh

“…Study Focus: Performance evaluation of the G2loss and G2sed model for estimating soil erosion and sediment yield, and comparing it with erosion plots and observed suspended sediment data obtained from SRCs, is a primary goal of this research. …”
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Comparative analysis and optimal allocation of virtual inertia from grid‐forming and grid‐following controlled ESSs by Naixuan Zhu, Pengfei Hu, Chongxi Jiang, Yanxue Yu, Daozhuo Jiang

“…Based on H2‐norm and Kron reduction, firstly, the state‐space model of post‐disturbance system is established, together with the transient performance evaluation. Then the inertia characteristics of both grid‐forming and grid‐following devices are formulated, followed by the unified gradient descent optimization method for allocating virtual inertia. …”
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Temporal integration of ResNet features with LSTM for enhanced skin lesion classification by Sasmita Padhy, Sachikanta Dash, Naween Kumar, Shailendra Pratap Singh, Gyanendra Kumar, Poonam Moral

“…The ISIC2020 and HAM10000 benchmark datasets were employed for evaluation, utilizing sophisticated data augmentation methods and weighted loss functions to improve performance. Evaluation measures such as accuracy, sensitivity, specificity, and F1-score were employed to verify the model. …”
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IEEE 802.15.7-Compliant Full Duplex Visible Light Communication: Interference Analysis and Experimentation by Stefano Caputo, Stefano Ricci, Lorenzo Mucchi

“…Furthermore, the paper introduces an interference evaluation framework, which contributes to the understanding of the real benefits of full-duplex VLC through theoretical modeling of the interference and experimental validation. The performance evaluation section quantifies key metrics, allowing for a comprehensive assessment of the overall efficacy of full-duplex and half-duplex VLC systems in a vehicular network context. …”
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FINANCIAL PERFORMANCE ANALYSIS OF THE COMPANY THROUGH PROFITABILITY RATIOS by Mihaela SUDACEVSCHI, Viorica Mirela ŞTEFAN-DUICU

“…The strengths and weaknesses of the company are identified in the performance evaluation stage specific to financial management, resulting in an analysis of behavior and identifying methods to improve activities.…”
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Performance Assessment of Ultrascaled Vacuum Gate Dielectric MoS₂ Field-Effect Transistors: Avoiding Oxide Instabilities in Radiation Environments by Khalil Tamersit, Abdellah Kouzou, José Rodriguez, Mohamed Abdelrahem

“…The nanodevice is computationally assessed using a quantum simulation approach based on the self-consistent solutions of the Poisson equation and the quantum transport equation under the ballistic transport regime. The performance evaluation includes analysis of the transfer characteristics, subthreshold swing, on-state and off-state currents, current ratio, and scaling limits. …”
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