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The analysis of algorithm for transmitters locating problem
Published 2023-09-01Get full text
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Analysis and Algorithmic Generation of Hepatic Vascular Systems
Published 2012-01-01Get full text
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Analysis of algorithmic problems solved in Olympiads: stands of students and experts
Published 2003-12-01Get full text
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Analysis of algorithms for detecting traffic incidents on highways using stationary vehicle detectors
Published 2024-01-01Get full text
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Comparison and Analysis of Algorithms for Coordinated EV Charging to Reduce Power Grid Impact
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Gaitmap—An Open Ecosystem for IMU-Based Human Gait Analysis and Algorithm Benchmarking
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OPTIMIZING ENERGY CONSUMPTION FOR WIRELESS SENSOR NETWORKS
Published 2018-07-01“…In this paper, we propose a solution for deploying sensor networks by clustering and combining cluster head selection to optimize power consumption and extend the life of the network. Comparative analysis of algorithms proposed with traditional clustering algorithms LEACH, LEACH-C, K-Mean and FCM will confirm the effectiveness of the proposed solution.…”
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Collaborative Penalized Least Squares for Background Correction of Multiple Raman Spectra
Published 2018-01-01“…Although Raman spectroscopy has been widely used as a noninvasive analytical tool in various applications, backgrounds in Raman spectra impair its performance in quantitative analysis. Many algorithms have been proposed to separately correct the background spectrum by spectrum. …”
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Improving Unplugged Computational Thinking Skills Through Integrated Problem-Based and Differentiated Learning in Indonesia
Published 2024-08-01“…This Classroom Action Research aims to improve students’ computational thinking (abstraction, data collection, data analysis and algorithms) in solving problems about probability through problem-based learning integrated with differentiation learning. …”
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Rough Sets Data Analysis in Knowledge Discovery: A Case of Kuwaiti Diabetic Children Patients
Published 2008-01-01“…A comparison between the obtained results using rough sets with decision tree, neural networks, and statistical discriminate analysis classifier algorithms has been made. Rough sets show a higher overall accuracy rates and generate more compact rules.…”
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Noise stability of diversity system for signals PSK and DPSK in multipath channels
Published 2018-04-01“…The analysis of noise stability is based in fluctuation of signal distance through multipath. Detailed analysis compares algorithms of diversity system of diversity. …”
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The role of fMRI in the mind decoding process in adults: a systematic review
Published 2025-01-01“…Studies were selected based on strict inclusion and exclusion criteria: peer-reviewed; published between 2000 and 2024 (in English); focused on adults; investigated mind-reading (mental state decoding, brain-computer interfaces) or related processes; and employed various mind-reading techniques (pattern classification, multivariate analysis, decoding algorithms). Results This review highlights the critical role of fMRI in uncovering the neural mechanisms of mind-reading. …”
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Determining the Factors and Evolutionary Trends of Customer Engagement in Businesses: A Bibliometric Analysis
Published 2024-03-01“…The algorithms employed included thematic analysis, correspondence analysis, clustering algorithms, and co-occurrence analysis of words. …”
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Convergence Theorems of Common Elements for Pseudocontractive Mappings and Monotone Mappings
Published 2015-01-01“…An algorithm for treating pseudocontractive mappings and monotone mappings is proposed. Convergence analysis of algorithm is investigated in the framework of Hilbert spaces.…”
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On Stackelberg Leader with Min-Max Followers to Solve Fuzzy Continuous Static Games
Published 2022-01-01“…The given solution is accompanied by a parametric analysis. An algorithm for identifying the first-kind stability set is presented. …”
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Deep Learning-Based Prediction of Physical Stability considering Class Imbalance for Amorphous Solid Dispersions
Published 2022-01-01“…In order to overcome the imbalance problem, our model performs a hybrid sampling which combines synthetic minority oversampling technique (SMOTE) algorithm with edited nearest neighbor (ENN) algorithm and reduces the dimensionality of the dataset using principal component analysis (PCA) algorithm during data preprocessing. After the preprocessing, it performs the learning process using a carefully designed neural network of simple but effective structure. …”
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