Assessment of the effectiveness of scenarios for the adaptation of the regional economy to external economic constraints by A. V. Rezepin, I. V. Danilova, N. V. Pravdina

“…Purpose: is to evaluate the effectiveness of adaptation scenarios to the external economic constraints of the regional economy, taking into account changes in the structural characteristics of the industrial sector.Methods: to determine the "sufficient" and "necessary" conditions for effective adaptation of regions to foreign economic constraints, the study used qualitative comparative analysis using fuzzy sets (fsQCA) and the Quine-McCluskey algorithm. 27 combinations of qualitative characteristics of regional adaptation have been identified, taking into account changes in the sectoral structure of production, the degree of openness of the economy, the level of manufacturability and innovation of products. …”
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Naive Bayes Analysis for Nutritional Fulfillment Prediction in Children by Satrio Agung Wicaksono, Satrio Hadi Wijoyo, Fatmawati Fatmawati, Tri Afirianto, Diva Kurnianingtyas, Mochammad Chandra Saputra

“…Six test scenarios were conducted using different percentages of training data (90%, 80%, 70%, 60%, 50%, and 40%) to evaluate the reliability of the Naïve Bayes method. …”
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A Robust Adaptive Strategy for Diesel Particulate Filter Health Monitoring Using Soot Sensor Data by Bilal Youssef

“…Different cost functions have been tested and evaluated to improve the diagnostic performance. …”
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Intelligent intrusion detection system based on crowd search optimization for attack classification in network security by Chetan Gupta, Amit Kumar, Neelesh Kumar Jain

“…We have also created a confusion matrix over different kinds of attacks concerning predicted class and attack class, enabling us to evaluate the performance of a classification model for various attack groups without taking CSO and after applying the CSO approach. …”
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A Generic Millimeter Wave and Terahertz Spectrum Reuse Model for In-Building Multi-Band Small Cells: Achieving Spectral and Energy Efficiencies of 6G by Rony K. Saha

“…We formulate the spectral efficiency (SE) and energy efficiency (EE) metrics of the proposed GSRM in a multi-tier network and develop an algorithm to evaluate its SE and EE metrics. With extensive system-wide evaluations, we show that compared to scenario 1, the overall SE and EE in scenario 2 are improved by 33.33% and 4.5%, respectively, and the proposed GSRM can achieve the prospective SE and EE requirements for 6G mobile systems.…”
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2CA-R²: A Hybrid MAC Protocol for Machine-Type Communications by Sergio Javier-Alvarez, Pablo Hernandez-Duran, Miguel Lopez-Guerrero, Luis Orozco-Barbosa

“…What distinguishes this proposal is that the contention stage is controlled by a conflict–resolution algorithm known as Adaptive-2C. The protocol was evaluated using a model based on a Markov chain and computer simulations. …”
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Optimizing relay node selection in cooperative wireless body area networks with modified POA by A. Hena Rubavathy, S. Sundar

“…The proposed method is assessed in comparison with other relay selection techniques through a Bit Error Rate (BER) analysis, evaluating the effectiveness of each approach across different Signal-to-Noise Ratio (SNR) scenarios. …”
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Facial Recognition Databases: Recent Developments and Review of Methods by Waleed Ayad, Siraj Qays, Asanka G. Perera, Ali Al-Naji

“…There is a fundamental relationship between the development of facial recognition algorithms and the possibility of the existence of databases of different faces that influence the appearance of the face in a constrained manner. …”
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A novel class of fourth-order derivative-free iterative methods to obtain multiple zeros and their basins of attraction by Munish Kansal, Vanita Sharma, Litika Rani, Lorentz Jäntschi

“…This article proposed a novel fourth-order class based on weight functions to locate multiple roots numerically, which did not require the evaluation of derivatives at any stage of computation. …”
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Design and Implementation of a Quantum-Assisted Digital Signature by Marta Irene García-Cid, Rodrigo Martín, David Domingo, Vicente Martín, Laura Ortiz

“…A comparative evaluation of the results obtained for Q-DS is carried out with 6 pre-quantum and 12 post-quantum digital signature algorithms. …”
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Enhancing environmental models with a new downscaling method for global radiation in complex terrain by A. Druel, J. Ruffault, H. Davi, A. Chanzy, O. Marloie, M. De Cáceres, A. Olioso, F. Mouillot, C. François, K. Soudani, N. K. Martin-StPaul

“…The influences of surrounding mountains' shade on direct radiation and the “bowl” (deep valley) effect (or sky-view factor) on diffuse radiation are then considered. The model was evaluated by comparing simulated and observed radiation at the Mont Ventoux study site (southeast of France) using the recent ERA5-Land hourly data available at a 9 km resolution as input and downscaled to different spatial resolutions (from 1 km to 30 m resolution) using a DEM. …”
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“Decision Tree” as a Tool for Analyzing the Psychodiagnostics Data Latent Connections by Elena V. Slavutskaya, Leonid A. Slavutsky

“…The study demonstrated the possibilities of the proposed data processing algorithm for evaluating the latent connections between psychological characteristics and for building the hierarchical structures corresponding to vertical system data analysis. …”
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Soil moisture retrieval over agricultural region through machine learning and sentinel 1 observations by Deepanshu Lakra, Deepanshu Lakra, Shobhit Pipil, Prashant K. Srivastava, Suraj Kumar Singh, Manika Gupta, Rajendra Prasad

“…The present study provided a comprehensive evaluation of a wide range of advanced machine learning algorithms for Soil Moisture (SM) estimation from microwave Synthetic Aperture Radar (SAR) backscatter observations over the wheat fields. …”
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EXPERIENCE OF USING DIGITAL SYSTEMS FOR DIAGNOSTICS OF HYPERTROPHIC SKIN SCARS OF FACE by D.S. Avetikov, O.P. Bukhanchenko, I.O. Ivanytsky, N.A. Sokolova, I.V. Boyko

“…Currently, conventional algorithms for selecting methods of treating patients with scars are available. …”
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Fiber-Optic Sensor Spectrum Noise Reduction Based on a Generative Adversarial Network by Yujie Lu, Qingbin Du, Ruijia Zhang, Bo Wang, Zigeng Liu, Qizhe Tang, Pan Dai, Xiangxiang Fan, Chun Huang

“…This study evaluates the denoising performance of simulated spectra obtained from four different types of fiber-optic sensors: fiber Fabry–Perot interferometer (FPI), regular fiber Bragg grating (FBG), chirped FBG, and FBG pair. …”
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Diffractogram data processing module for electronic journal. Finding diffraction maximum by Roman D. Gerasimov, Arseny D. Starikov

“…Methods. Analysis and evaluation of already developed solutions, as well as existing literature; testing of existing algorithms for data analysis, finding diffraction maxima on the diffractogram. …”
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OpenJUMP HoRAE—A free GIS and toolbox for home‐range analysis by Stefan Steiniger, Andrew J. S. Hunter

“…The software is distributed under a free and open‐source license, so research can also benefit from the toolbox because implemented algorithms can be tested directly and improved. © 2012 The Wildlife Society.…”
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A novel bias-alleviated hybrid ensemble model based on over-sampling and post-processing for fair classification by Fang He, Xiaoxia Wu, Wenyu Zhang, Xiaoling Huang

“…Three datasets with different sensitive attributes and four evaluation metrics were used to evaluate the prediction accuracy and fairness of the BAHEM. …”
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Highly Efficient Real-Time Kinematic-Based Precise Relative Navigation for Autonomous Rendezvous CubeSat by Hanjoon Shim, Changdon Kee

“…Simulations validated the algorithm’s performance in LEO, and its real-world efficacy was evaluated through ground-based measurements in an open-sky environment. …”
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Systematic review of AI/ML applications in multi-domain robotic rehabilitation: trends, gaps, and future directions by Giovanna Nicora, Samuele Pe, Gabriele Santangelo, Lucia Billeci, Irene Giovanna Aprile, Marco Germanotta, Riccardo Bellazzi, Enea Parimbelli, Silvana Quaglini

“…Artificial intelligence (AI) and machine learning (ML) have been widely applied in different areas to support robotic rehabilitation, from controlling robot movements to real-time patient assessment. …”
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