Search Results - research algorithm

Comparative analysis of high-resolution UAV photogrammetry and terrestrial laser scanning for detecting and quantifying urban vegetation changes by O. B. Shafaat, H. Kauhanen, A. Julin, M. Vaaja

“…This study focuses on identifying and quantifying changes in Malminkartano, Helsinki during the leaf-off and leaf-on seasons for the year 2022. The research utilized terrestrial laser scanning (TLS) and UAV-photogrammetry datasets for change detection in urban vegetation and point cloud-based algorithms for seasonal variations such as C2C, C2M, and M3C2. …”
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Data-driven intelligent productivity prediction model for horizontal fracture stimulation by Qian Li, Yiyong Sui, Mengying Luo, Bin Guan, Lu Liu, Yuan Zhao

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A deep-learning approach to predict reproductive toxicity of chemicals using communicative message passing neural network by Owen He, Daoxing Chen, Yimei Li

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Impact of New Technologies on Economic Behavior and Consumer Freedom of Choice: from Neuromarketing to Neuro-Rights by L.  Sposini

“…Objective: to identify the possibilities for an adequate response of the existing legal regime to the various challenges posed to European law by artificial intelligence systems underlying neuromarketing techniques.Methods: the study is based on the risk-oriented approach, formal-logical, formal-legal and comparative-legal methods, as well as on the method of legal forecasting, in order to identify the problems of legislation caused by the emerging technologies capable of recognizing human emotions and using them to control consumer behavior, and to propose ways to solve them.Results: the conducted research provides a brief overview of the most widely used neuromarketing techniques used by algorithms and machine learning. …”
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Data-driven predictive models for sustainable smart buildings by Prabhu Rajaram, Gnana Swathika O․V․

“…Green AI is crucial for enhancing the environmental sustainability of AI systems in intelligent buildings. While some research is being undertaken on the role of AI in green and smart architecture, our comprehension of its usability and advantages is fragmented. …”
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Audio signal transmission method in network-based audio analytics system by Антон Порошенко, Андрій Коваленко

“…To achieve these goals, the following methods are used: mathematical signal processing, data compression algorithms, optimization of network protocols, and the use of high-speed network connections. …”
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Multi-model machine learning framework for lung cancer risk prediction: A comparative analysis of nine classifiers with hybrid and ensemble approaches using behavioral and hematolo... by Vinod Kumar, Chander prabha, Deepali Gupta, Sapna Juneja, Swati Kumari, Ali Nauman

“…A multi-model machine learning approach compares nine algorithms: KNN, AdaBoost (AB), logistic regression (LR), random forest (RF), SVM, naive Bayes (NB), decision tree (DT), gradient boosting (GB), and stochastic gradient descent (SGD). …”
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Current View on the Postoperative Asthenopic Syndrome Problem in Patients with Corneal Refractive Surgery. Review by I. A. Mushkova, N. V. Maychuk, E. Yu. Markova, L. T. Shamsetdinova

“…In order to correct the disturbed parameters, additional research methods and effective methods of functional treatment of patients in the postoperative period were suggested. …”
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Machine learning-based predictive model for enteral nutrition-associated diarrhea in ICU patients and its nursing applications by Xiaoying Liao, Chunhua Li, Qunyan Liu, Wang Xia, Zhenglin Liu, Jiamao Zhu, Wei Hu, Qionghua Hong

“…LASSO regression was used for feature selection, and 9 machine learning (ML) algorithms were evaluated. Model performance was assessed using metrics such as the area under the receiver operating characteristic curve (AUC). …”
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SFMattingNet: A Trimap-Free Deep Image Matting Approach for Smoke and Fire Scenes by Shihui Ma, Zhaoyang Xu, Hongping Yan

“…Since image matting algorithms compute these alpha values, the quality of the alpha composition directly depends on the performance of the smoke and fire matting methods. …”
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WoE Analysis and Key Risk Factors in Preclinical Development of Medicinal Products: A Review by G. N. Engalycheva, R. D. Syubaev

“…The WoE assessment algorithms and criteria described in this article may be implemented by preclinical study initiators, their research teams, and regulatory experts evaluating medicines.…”
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REALISATION D’UN SYSTEME (PARADIS) POUR LA SYNTHESE DE LA PAROLE ARABE A PARTIR DU TEXTE by Noureddine Chenfour

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An automation monitoring system for the production facility work by Артем Бронніков, Альона Коломієць, Олег Юрченко

“… The subject of research in the article is the application of technology and control algorithms in the automation system for monitoring the operation of the instrument building room. …”
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Enhancing Crop Health: Advanced Machine Learning Techniques for Prediction Disease in Palm Oil Tree by Nandy Manish, Kumar Yalakala Dinesh

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Artificial intelligence driven mental health diagnosis based on physiological signals by P.R. Naregalkar, A.A. Shinde, M.V. Patil

“…The machine learning algorithms, like Decision tree and kernel support vector machine, are employed for dope classification tasks. …”
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Intensive Care for Anaphylaxis in Children: Current Trends by Yu. V. Bykov, A. N. Obedin, V. V. Fischer, E. V. Volkov, O. V. Zinchenko

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A comparison of quantum-inspired GMDH-HS and GMDH-GWO approaches to soil hydraulic conductivity prediction by Jamshid Piri, Parisa Kahkhamoghadam, Mohammad Mahdi Chari

“…Study focus: Reliable estimation of saturated hydraulic conductivity (Ksat) is instrumental for water resource planning and agricultural management in semi-arid climates, but conventional pedotransfer functions frequently miss the intricate non-linear interrelationships among soil attributes and hydraulic behavior. The research formulates and tests two quantum-inspired hybrid models: Quantum Group Method of Data Handling with Harmony Search (Q-GMDH-HS) and Quantum Group Method of Data Handling with Grey Wolf Optimizer (Q-GMDH-GWO). …”
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The Evolving Role of Copyright Law in the Age of AI-Generated Works by J. Hutson

“…The research shows limitations of existing intellectual property law, as courts deny copyright in works created by artificial intelligence and insist on the need for “human authorship”. …”
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Non-Invasive Continuous Respiratory Monitoring on General Hospital Wards: A Systematic Review. by Kim van Loon, Bas van Zaane, Els J Bosch, Cor J Kalkman, Linda M Peelen

“…<h4>Conclusions</h4>Based on the findings of this systematic review, implementation of routine continuous non-invasive respiratory monitoring on general hospital wards cannot yet be advocated as results are inconclusive, and methodological quality of the studies needs improvement. Future research in this area should focus on technology explicitly suitable for low care settings and tailored alarm and treatment algorithms.…”
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Comprehensive Performance Comparison of Signal Processing Features in Machine Learning Classification of Alcohol Intoxication on Small Gait Datasets by Muxi Qi, Samuel Chibuoyim Uche, Emmanuel Agu

“…Convenient, unobtrusive intoxication detection methods using equipment already owned by users are desirable. Recent research has explored machine learning-based approaches using smartphone accelerometers to classify intoxicated gait patterns. …”
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