Evaluating Directed Acyclic Graphs with DAGMetrics: Insights from Tuber and Soil Microbiome Data by Pavel Averin, Ifigeneia Mellidou, Maria Ganopoulou, Aliki Xanthopoulou, Theodoros Moysiadis

“…This study introduces DAGMetrics, an R package designed to comprehensively evaluate and compare DAGs. The package provides descriptive and comparative metrics, streamlining the assessment of outputs from various structure learning algorithms. …”
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Using selective NIR wavelengths in portable devices to evaluate the chemical composition of cattle feeds by Lorenzo Serva, Luisa Magrin, Giovanni Chillemi, Giorgio Marchesini, Daniele Pietrucci, Francesco Renzi, Riccardo Valentini, Igino Andrighetto, Marco Milanesi

“…This was achieved by evaluating various cattle rations and silages (including rations for cows and bulls and grass and corn silage), where we selected the most significant wavelengths for fibre characterisation using the Random Forest (Boruta) algorithm. …”
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Performance Evaluation and Optimization of 3D Gaussian Splatting in Indoor Scene Generation and Rendering by Xinjian Fang, Yingdan Zhang, Hao Tan, Chao Liu, Xu Yang

“…Subsequently, based on this comparison, rigorous qualitative and quantitative evaluations are further conducted on the overall performance and detail processing capabilities of the 3DGS algorithm. …”
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Performance Evaluation of Intrusion Detection System using Selected Features and Machine Learning Classifiers by Raja Azlina Raja Mahmood, AmirHossien Abdi, Masnida Hussin

“…The performance of the abovementioned classifiers using different features values was evaluated.  The experimental results indicate that the detection accuracy improves by approximately 1.55% when implemented using the PSO-based selected features than that of using GA-based selected features.  …”
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Evaluation of Fractionation Schemes in Breast Cancer Radiotherapy and Dosimetric Study of the Main Organs at Risk by Maria Rodrigues, Pedro Teles, Rui Pirraco, Diana Oliveira, Paulo S. Costa

“…The purpose of this work was to evaluate the impact of different breast cancer radiotherapy regimens on the acceptance of the tolerance criteria of the main organs at risk, the heart, and the ipsilateral lung. …”
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Evaluating Empirical Dynamic Modeling for forecasting: The role of variation among time series replicates by Fleur Slegers, Robbin Bastiaansen, Edwin Pos

“…In this study, we use simulated data from the Lorenz-63 system, a three-species food chain, and a four-species Lotka–Volterra model of competition to evaluate the performance of EDM’s S-Map algorithm across various scenarios, employing three different approaches to generate time series replicates, each with a different type of variation between the replicates: varying initial conditions (Scenario A), sampling distinct sections of the attractor (Scenario B), and varying the system’s parameter controlling chaotic behavior (Scenario C). …”
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The nutriRECIPE-Index – development and validation of a nutrient-weighted index for the evaluation of recipes by Frank Forner, Ina Volkhardt, Toni Meier, Olaf Christen, Gabriele I. Stangl

“…Abstract Background Our objective was to develop a nutrient-based index for evaluating and improving menus in public catering. The nutriRECIPE-Index comprises 24 nutrients and nutrient groups. …”
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A Review on Fall Prediction and Prevention System for Personal Devices: Evaluation and Experimental Results by Masoud Hemmatpour, Renato Ferrero, Bartolomeo Montrucchio, Maurizio Rebaudengo

“…Kinematic features obtained from the data collected from accelerometer and gyroscope have been evaluated in combination with different machine learning algorithms. …”
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Method for quality assessment of image mosaic by Guo-ting WAN, Jun-ping WANG, Jin LI, Hong-hua CAO, Song WANG, Le WANG, IYA-ning L, Rong WEI

“…On the basis of the theory of existing methods for image quality assessment,a novel method for quality assessment of mosaicked image based on the information of image edge was presented.The method was in accordance with the features of mosaicked image.Firstly,the edges of image were detected.Then according to the information of image edges,the information of pixel error and structure was considered.The mean value and variance of the difference of edge map were related with the misplacement and the brightness mutation,which influenced the quality of mosaicked image.Lastly,the evaluate procedure was done based on the relationship.The new method was more consistent with the subjective feeling to the mosaicked image quality.This method accurately reflects the real quality of mosaicked image and the performance of the algorithm of image mosaic.…”
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Method for quality assessment of image mosaic by Guo-ting WAN, Jun-ping WANG, Jin LI, Hong-hua CAO, Song WANG, Le WANG, IYA-ning L, Rong WEI

“…On the basis of the theory of existing methods for image quality assessment,a novel method for quality assessment of mosaicked image based on the information of image edge was presented.The method was in accordance with the features of mosaicked image.Firstly,the edges of image were detected.Then according to the information of image edges,the information of pixel error and structure was considered.The mean value and variance of the difference of edge map were related with the misplacement and the brightness mutation,which influenced the quality of mosaicked image.Lastly,the evaluate procedure was done based on the relationship.The new method was more consistent with the subjective feeling to the mosaicked image quality.This method accurately reflects the real quality of mosaicked image and the performance of the algorithm of image mosaic.…”
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Mathematical model of the formation of the basic statistical sample for evaluating the level of the digital competence of lecturers by Svetlana V. Avilkina, Marina A. Bakuleva, Nadezhda P. Kleynosova

“…On the basis of the mathematical model the algorithm of analytical processing of statistical data on monitoring of digital competences is developed.…”
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Evaluation of an acne lesion detection and severity grading model for Chinese population in online and offline healthcare scenarios by Na Gao, Jiaping Wang, Zheng Zhao, Xiao Chu, Bin Lv, Gangwen Han, Yuan Ni, Guotong Xie

“…To develop and evaluate a deep learning-based algorithm that could accurately accomplish acne lesion detection and severity grading simultaneously in different healthcare scenarios. …”
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Role of radiotherapy on long-term outcomes of patients with small cell lung cancer under different metastasis patterns by Hui Dong, Wei Wang

“…The importance of radiation on overall survival (OS) and cancer-specific survival (CSS) was assessed by a random forest algorithm. The association of radiation with OS and CSS was evaluated by COX regression and subgroup analysis. …”
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Design of Morlet Wavelet Neural Networks for Solving the Nonlinear Van der Pol–Mathieu–Duffing Oscillator Model by Ali Hasan Ali, Muhammad Amir, Jamshaid Ul Rahman, Ali Raza, Ghassan Ezzulddin Arif

“…Then, we apply a novel hybrid approach combining WCA and ABC to optimize this fitness function, and determine the optimal weight and biases for MWNN. Three different variants of the Vd-PM-DO model were numerically evaluated and compared with the reference solution to demonstrate the correctness of the designed technique. …”
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Systematic in-silico evaluation of fibrosis effects on re-entrant wave dynamics in atrial tissue by Michela Masè, Alessandro Cristoforetti, Samuele Pelloni, Flavia Ravelli

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Insulation Aging Evaluation Method of High Voltage Cable Based on Dielectric Loss Characteristics by Tao Han, Wenhao Li, Zeping Zheng, Yanqing Li, Jia Chu, Chunlin Hao

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Balancing Precision and Speed: Introducing the Performance Efficiency Evaluation Ratio (PEER) in Visual Odometry by Cem Atilgan, Muharrem Mercimek

“…PEER incorporates a tunable weighting parameter to prioritize performance, speed, or a balanced trade-off, and employs normalization techniques to ensure comparability across different algorithms and systems. We evaluated PEER using the KITTI dataset with various feature extraction algorithms (SIFT, ORB, BRISK, KAZE, AKAZE) and matching algorithms (BF, FLANN). …”
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Predicting sensory evaluation of spinach freshness using machine learning model and digital images. by Kento Koyama, Marin Tanaka, Byeong-Hyo Cho, Yusaku Yoshikawa, Shige Koseki

“…Herein, the ability of an image processing-based, nondestructive technique to classify spinach freshness was evaluated. Images of spinach leaves were taken using a smartphone camera after different storage periods. …”
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A method to evaluate the functional state of the human brain after acute in-hospital stroke by K. S. Brazovskii, D. A. Vinokurova, V. A. Strezh, V. Yu. Ussov

“…The proposed method to evaluate the functional state of the human brain was applied to analyze neurophysiological records obtained from people with different activity of the nervous system: from resting state to deep coma. …”
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Evaluation of Weed Infestations in Row Crops Using Aerial RGB Imaging and Deep Learning by Plamena D. Nikolova, Boris I. Evstatiev, Atanas Z. Atanasov, Asparuh I. Atanasov

“…Based on an experimental study with the DeepLabV3 classification algorithm, it was found that the ResNet-34-backed model ensures the highest performance compared to different versions of ResNet, DenseNet, and VGG backbones. …”
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