Search Results - statistical algorithm

Integrating an artificial neural network with genetic, particle swarm optimization algorithms, and fuzzy rule to optimize the surface roughness in dry turning AISI 1045 steel by Abdulmajeed Dabwan, Mohammed K Almatani, Mohammed Alqahtani, Husam Kaid, Khaled N Alqahtani, Mustafa M Nasr, Adham E Ragab

“…The results show that ANFIS, ANN-PSO algorithm, and ANN-GA presented a high-accuracy model for predicting surface roughness. …”
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Demand Forecasting in Data-Scarce and Resource-Restricted Environments by David Gogelein, Marianne von Schwerin, Thomas Walter

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Prospects of application of artificial neural networks for forecasting of cargo transportation volume in transport systems by D. T. Yakupov, O. N. Rozhko

“…The authors consider the possibility of forecasting to use ANN for these economic indicators not as an alternative to the traditional methods of statistical forecasting, but as one of the available simple means for solving complex problems.Materials and methods. …”
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Capturing drug use patterns at a glance: An n-ary word sufficient statistic for repeated univariate categorical values. by Gabriel J Odom, Laura Brandt, Clinton Castro, Sean X Luo, Daniel J Feaster, Raymond R Balise, CTN-0094 Team

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Statistical modeling and application of machine learning for antibiotic degradation using UV/persulfate-peroxide based advanced oxidation process by Musfekur Rahman Dihan, Md. Ashraful Alam, Surya Akter, Md. Abdul Gafur, Md. Shahinoor Islam

“…Pearson correlation and statistical multivariate linear regression (MLR) were applied to model the removal% and pHfinal of both antibiotics, along with the three machine learning algorithms, Artificial neural network (ANN), support vector machine (SVM), and Random Forest (RF), to make the same predictions. …”
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Improving the accuracy of remotely sensed TSS and turbidity using quality enhanced water reflectance by a statistical resampling technique by Kunwar Abhishek Singh, Dongryeol Ryu, Meenakshi Arora, Manoj Kumar Tiwari, Bhabagrahi Sahoo

“…This study presents a scalable, innovative cloud and cloud-shadow masking using the Gaussian Mixture Model (GMM) combined with a spatially aggregated reflectance sampling approach that can robustly monitor the Total Suspended Solids (TSS) and turbidity over selected sections of the study site, the Hooghly River in West Bengal, India. The statistical resampling approach based on GMM was applied to Sentinel-2 (S2) imagery to produce input to Machine Learning (ML) algorithms to retrieve the TSS and turbidity for target river sections. …”
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MINIMIZATION OF RISK OF THE ERRONEOUS DECISION IN THE ASSESSMENT OF THE IMPORTANCE OF STATISTICAL RELATIONS OF TECHNICAL AND ECONOMIC INDICATORS OF THE OBJECTS OF ELECTRIC POWER SY... by E. M. Farhadzadeh, A. Z. Muradaliyev, Yu. Z. Farzaliyev, T. K. Rafiyeva, S. A. Abdullayeva

“…No less relevant is the problem of deciding on the statistical relationship between technical and economic indicators in conditions of equality of consequences of erroneous decisions, i.e. it is necessary to take into account both a Type I error and a Type II error. …”
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Analysis of the Efficiency of the Kalman-Type Correlation Algorithm for Tracking of a Small UAV in the Presence of Uncorrelated Interference by А. О. Герасименко, С. Я. Жук

“…Positioning accuracy analysis using the correlation algorithm, as well as the correlation algorithm for tracking UAVs based on the Kalman filter, was carried out by statistical modeling in the Matlab programming environment. …”
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Closing Price Prediction of Cryptocurrencies BTC, LTC, and ETH Using a Hybrid ARIMA-LSTM Algorithm by Jherson S. Ruiz-Lopez, Miguel Jiménez-Carrión

“…For the remaining metrics and other cryptocurrencies, both methods were statistically equivalent. For five-day-ahead predictions, the hybrid algorithm continued to yield better results for LTC and ETH. …”
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Influence of symbolic content on recommendation bias: analyzing YouTube’s algorithm during Taiwan’s 2024 election by Mert Can Cakmak, Nitin Agarwal

“…Abstract This study investigates the role of symbolic content, including social, cultural, and political imagery, in shaping algorithmic biases within YouTube’s recommendation system, using the 2024 Taiwanese presidential election as a case study. …”
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ACIVY: An Enhanced IVY Optimization Algorithm with Adaptive Cross Strategies for Complex Engineering Design and UAV Navigation by Heming Jia, Mahmoud Abdel-salam, Gang Hu

“…The Adaptive Cross Ivy (ACIVY) algorithm is a novel bio-inspired metaheuristic that emulates ivy plant growth behaviors for complex optimization problems. …”
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The double-edged sword effect of algorithmic management on work engagement of platform workers: the roles of appraisals and resources by Feifei Li, Xiaohui Zhan, Yun Liu

“…Drawing from a sample of 292 delivery workers working in two major food delivery platforms in China, this study employed SPSS 20.0 and MPLUS 7.4 for the statistical examination of the hypotheses.FindingsThe findings reveal that threat appraisal serves as a negative mediator between algorithmic management and work engagement, while challenge appraisal served as a positive mediator in this relationship. …”
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Optimizing anomaly detection models for edge IIoT with an enhanced firefly algorithm-based hyperparameter tuning strategy by Mohemmed Yousuf Rahamathulla, Mangayarkarasi Ramaiah

“…This work presents an Enhanced Firefly Algorithm (EFA) for optimizing the hyperparameters of ML models to enable effective and accurate threat detection in resource-constrained IIoT contexts, so addressing these challenges. …”
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Modified Zebra Optimization Algorithm via Design Operators for Modern Power System Planning Problem Solution by Yunus Balci, Serhat Duman

“…The combination of these elements is the FFDBZOA-OBL algorithm. The proposed algorithm was thoroughly validated in two experiment setups. …”
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Novel metrics and LSH algorithms for unsupervised, real-time anomaly detection in multi-aspect data streams by Samira Khodabandehlou, Alireza Hashemi Golpayegani

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Agreement Between Medico-Administrative Database Algorithms and Survey-Based Diagnoses for Depression and Anxiety in Older Adults by Giraud Ekanmian, Carlotta Lunghi, Helen-Maria Vasiliadis, Line Guénette

“…<b>Objectives</b>: This study aimed to assess the concordance between depression and anxiety case definitions derived from algorithms based on medico-administrative data and structured interviews aligned with the fourth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) criteria in older adults. …”
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Topology Optimization of the Network with Renewable Energy Sources Generation Based on a Modified Adapted Genetic Algorithm by A. M. Bramm, A. I. Khalyasmaa, S. A. Eroshenko, P. V. Matrenin, N. A. Papkova, D. A. Sekatski

“…At the end of each iteration of the algorithm operation, statistical dependencies were de-rived that characterized its work: the best (minimal losses) and average adaptability in the population, a list of the best individuals throughout all iterations, etc. …”
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A modified two-term conjugate gradient-based projection algorithm for constrained nonlinear equations with applications by Yan Xia, Dandan Li, Songhua Wang

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A Hybrid Multi-Strategy Optimization Metaheuristic Algorithm for Multi-Level Thresholding Color Image Segmentation by Amir Seyyedabbasi

“…Hybrid metaheuristic algorithms have been widely used to solve global optimization problems, making the concept of hybridization increasingly important. …”
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Comparative Analysis of the Proportional Distribution Method and the Random Forest Algorithm for Predicting Pedestrian Traffic Accident Risk by Hristo V. Uzunov, Plamen G. Matzinski, Vasil H. Uzunov, Silvia V. Dechkova

“…Correlation analysis confirms a statistically significant linear relationship between the outputs of the two methods, supporting their validity. …”
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