Search Results - evaluation of algorithm’s innovation

Automatic Navigation and Self-Driving Technology in Agricultural Machinery: A State-of-the-Art Systematic Review by Md. Sabbir Hossain, Mostafijur Rahman, Ashifur Rahman, Md. Mohsin Kabir, M. F. Mridha, Jie Huang, Jungpil Shin

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The Use of Artificial Intelligence in Combating Financial Crimes and Money Laundering in International Trade A Data-Driven Analysis (2010–2024) by Balouz Mohamed

“…  This research paper evaluates the transformative impact of artificial intelligence (AI) in combating financial crimes and money laundering within international trade from 2010 to 2024. …”
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Improving the System of Mandatory Requirements to Business under the Digital Transformation of Economy by S. A. Minich

“…The international experience of implementing the regulatory guillotine mechanism was considered; its essence, purpose, tasks, basic principles, and algorithm of operation were revealed. The issues of establishing and evaluating the application of the requirements for business contained in regulatory legal acts were analyzed.Scientific novelty: the author’s comprehensive analysis of existing scientific developments on improving the system of mandatory requirements for business; systematization of scientific and theoretical approaches to the selection of innovative legal instruments to eliminate excessive legal regulation of economic relations; generalization of successful foreign practices in the implementation of “regulatory guillotine” measures.Practical significance: recommendations were developed for effective reduction of burdensome requirements that negatively affect the development of business in the context of digital transformation of the economy. …”
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Synergistic feature selection and distributed classification framework for high-dimensional medical data analysis by D. Dhinakaran, L. Srinivasan, S. Edwin Raja, K. Valarmathi, M. Gomathy Nayagam

“…In order to overcome these drawbacks, the new integrated algorithm is presented here: Synergistic Kruskal-RFE Selector and Distributed Multi-Kernel Classification Framework (SKR-DMKCF). …”
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Improving health-promoting workplaces through interdisciplinary approaches. The example of WISEWORK-C, a cluster of five work and health projects within Horizon-Europe by Deborah De Moortel, Michelle C Turner, Ella Arensman, Alex Binh Vinh Duc Nguyen, Víctor Gonzalez

“…In addition, INTERCAMBIO is also performing observational research to evaluate both short- and long-term impacts of occupational heat, cold, and solar UV radiation exposures in relation to mental and physical health effects, including in biomarker-based studies, as well as in large-scale cohort studies using innovative exposure assessment approaches. …”
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Optimization of a Soccer Robot Components Using Engineering Generative Design Approach by Gökhan Bürge, Hüseyin Çamur, Mahmut A. Savaş

“…The object of the present study is to design and develop the chassis parts of a soccer robot, including the main chassis and electronic assembly member using innovative design techniques. Generative design is an iterative process that leverages software algorithms to create and evaluate numerous design options based on defined parameters and constraints. …”
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Complex Approach to the Diagnosis of Children with Nasal and Nasopharyngeal Pathology. Key Results by Leyla S. Namazova-Baranova, Viktor A. Gankovsky, Irina V. Zelenkova, Svetlana G. Gubanova, Alexander V. Pashkov, George A. Karkashadze, Elena A. Vishneva, Elena V. Kaytukova, Kamilla E. Efendieva

“…We would like to present the algorithm for diagnosis of children with nasal and nasopharyngeal pathologies according to the study results. …”
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Prediction of the Calorific Value and Moisture Content of <i>Caragana korshinskii</i> Fuel Using Hyperspectral Imaging Technology and Various Stoichiometric Methods by Xuehong De, Haoming Li, Jianchao Zhang, Nanding Li, Huimeng Wan, Yanhua Ma

“…Calorific value and moisture content are the key indices to evaluate <i>Caragana</i> pellet fuel’s quality and combustion characteristics. …”
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Accurate Extraction of Rural Residential Buildings in Alpine Mountainous Areas by Combining Shadow Processing with FF-SwinT by Guize Luan, Jinxuan Luo, Zuyu Gao, Fei Zhao

“…However, existing deep learning models are hindered by insufficient datasets and suboptimal algorithm structures, resulting in blurred boundaries and inadequate extraction accuracy. …”
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A Robust Adaptive Strategy for Diesel Particulate Filter Health Monitoring Using Soot Sensor Data by Bilal Youssef

“…In response, the automotive industry is actively engaging in new sensor technologies and innovative control and diagnostic algorithms that improve energy sustainability and reduce vehicle emissions. …”
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Advancing Engineering Solutions with Protozoa-Based Differential Evolution: A Hybrid Optimization Approach by Hussam N. Fakhouri, Faten Hamad, Abdelraouf Ishtaiwi, Amjad Hudaib, Niveen Halalsheh, Sandi N. Fakhouri

“…The performance of HPDE was evaluated on the CEC2014 benchmark functions, and it was compared against two sets of state-of-the-art optimizers comprising 23 different algorithms. …”
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A Multi-Epiphysiological Indicator Dog Emotion Classification System Integrating Skin and Muscle Potential Signals by Wenqi Jia, Yanzhi Hu, Zimeng Wang, Kai Song, Boyan Huang

“…This study introduces an innovative dog emotion classification system that integrates four non-invasive physiological indicators—skin potential (SP), muscle potential (MP), respiration frequency (RF), and voice pattern (VP)—with the extreme gradient boosting (XGBoost) algorithm. …”
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GeoAT: Geometry-Aware Attention Feature Matching Network by Yan Li, Yingdan Wu, Yang Ming, Yong Zhang, Zhesheng Cheng

“…It demonstrates excellent performance in scenarios with large angle variations and achieves highly accurate matching results even under high matching thresholds. We evaluated GeoAT on two well-known datasets, HPatches and MegaDepth, where it outperformed the current state-of-the-art algorithm, LoFTR, with improvements of 3-5% across various metrics. …”
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MULTI-MODEL STACK ENSEMBLE DEEP LEARNING APPROACH FOR MULTI-DISEASE PREDICTION IN HEALTHCARE APPLICATION by Bhaskar Adepu, T. Archana

“…The suggested deep learning algorithms' performance is evaluated using criteria such as precision, specificity, sensitivity, accuracy, and error rate. …”
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The system of indicators of the financial stability of the local budget as a component of the assessment of the competitive immunity of the region by V.R. Pysarkova, I.I. Strelchenko

“…In accordance with the selected blocks, the objects of management influence necessary for assessing the competitive immunity of the region and bringing it to sustainable functioning are defined, namely: production sustainability, financial sustainability, socio-economic sustainability, informational and psychological sustainability, market sustainability, sustainable innovative development, growth of business value, balanced innovative infrastructure and reputation of the region. …”
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False data injection attack dataset for classification, identification, and detection for IIoT in Industry 5.0Zenodo by A K M Ahasan Habib, Mohammad Kamrul Hasan, Rosilah Hassan, Shayla Islam, Huda Saleh Abbas

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A Comprehensive Review on Sensor-Based Electronic Nose for Food Quality and Safety by Teodora Sanislav, George D. Mois, Sherali Zeadally, Silviu Folea, Tudor C. Radoni, Ebtesam A. Al-Suhaimi

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A Hybrid Machine Learning Approach for Predicting Power Transformer Failures Using Internet of Things-Based Monitoring and Explainable Artificial Intelligence by Emrah Aslan, Yildirim Ozupak, Feyyaz Alpsalaz, Zakaria M. S. Elbarbary

“…The study presents a detailed comparison of different classification algorithms and evaluates their performance using metrics such as accuracy, recall, and F1 score. …”
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LcProt: Proteomics‐based identification of plasma biomarkers for lung cancer multievent, a multicentre study by Hengrui Liang, Runchen Wang, Ran Cheng, Zhiming Ye, Na Zhao, Xiaohong Zhao, Ying Huang, Zhanpeng Jiang, Wangzhong Li, Jianqi Zheng, Hongsheng Deng, Yu Jiang, Yuechun Lin, Yun Yan, Lei Song, Jie Li, Xin Xu, Wenhua Liang, Jun Liu, Jianxing He

“…Feature importance was interpreted using Shapley additive explanations (SHAP) algorithm. Results For task #1, 10 proteins panel showed an AUC of .87 (.77‒.97) in the external validation. …”
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Autonomous Waste Classification Using Multi-Agent Systems and Blockchain: A Low-Cost Intelligent Approach by Sergio García González, David Cruz García, Rubén Herrero Pérez, Arturo Álvarez Sanchez, Gabriel Villarrubia González

“…For the computer vision algorithm, three versions of YOLO (YOLOv8, YOLOv11, and YOLOv12) were used and evaluated with respect to their performance in automatic detection and classification of waste. …”
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