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201
Application of Hybrid Algorithm with Large Data in Wind Farm Modeling
Published 2019-02-01Subjects: Get full text
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202
Performance Analysis of the MUSIC Algorithm in the Presence of Correlated Noise
Published 2025-01-01“…In the conventional MUSIC algorithm performance analysis, noise is assumed to be uncorrelated. …”
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203
Perfect space-time block codes and high performance decoding algorithm
Published 2007-01-01Subjects: “…multi-input multi-output system;perfect space-time block codes;minimum mean-square error decision feedback equalizer;Fano algorithm…”
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204
Perfect space-time block codes and high performance decoding algorithm
Published 2007-01-01Subjects: Get full text
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205
Two-stage Community Discovery Algorithm for Multi-point Seed Prepartition
Published 2021-08-01“…First,high-impact nodes in the network are identified,and high-impact nodes are aggregated using the k-means algorithm to obtain high-impact community clusters. …”
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206
A Dynamic State Cluster-Based Particle Swarm Optimization Algorithm
Published 2025-08-01Get full text
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207
Modelling Land-use Changes using MDC, MD and ML Algorithms (Case Study: Midawood-Dalon Watershed)
Published 2025-02-01Get full text
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208
BiModalClust: Fused Data and Neighborhood Variation for Advanced K-Means Big Data Clustering
Published 2025-01-01“…K-means clustering is a fundamental tool in data mining, yet its scalability and efficacy decline when faced with massive datasets. …”
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209
K-Means++ Clustering-Based Approach for SDN Controller Placement in LEO Satellite Networks
Published 2025-01-01Subjects: Get full text
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210
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A clustering algorithm based on grids for core data and adjacency relationships for edge data
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212
Particle Swarm Optimization Algorithm for Determining Global Optima of Investment Portfolio Weight Using Mean-Value-at-Risk Model in Banking Sector Stocks
Published 2024-12-01“…The novelty of this research lies in developing an accurate computational algorithm for determining the global optima of mean-value-at-risk portfolio investments, yielding precise, consistent results with relatively fast computation times. …”
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Research on Rolling Bearing Fault Diagnosis Method Based on MPE and Multi-Strategy Improved Sparrow Search Algorithm Under Local Mean Decomposition
Published 2025-04-01“…To address the issues of non-stationarity, noise interference, and insufficient discriminative power of traditional fault feature extraction methods in rolling bearing vibration signals, this paper proposes a fault diagnosis method based on multi-scale permutation entropy (MPE) and a multi-strategy improved sparrow search algorithm (MSSA) under local mean decomposition (LMD). …”
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215
New management grading for pig farms: management grading system using pig carcass weight, back fat thickness and k-means algorithm
Published 2025-02-01“…Methods A total of 48,298 pigs were grouped (A, B, C, D group) using the k-means algorithm, carcass weight and backfat thickness. …”
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216
Designing a new tomato leaf disease classification framework using ran-based adaptive fuzzy c-means with heuristic algorithm model
Published 2025-01-01“…Further, the pre-processed image is given to the segmentation process, where the Adaptive Fuzzy C-Means (AFCM) technique is utilized. Meanwhile, the parameters of the AFCM algorithm complicate the cluster assignment in the presence of outliers or noise, thus resulting in reduced clustering performance. …”
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217
Research on Automatic Tracking and Size Estimation Algorithm of “Low, Slow and Small” Targets Based on Gm-APD Single-Photon LIDAR
Published 2025-01-01Subjects: Get full text
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218
A Geometric Mean of Parameterized Arithmetic and Harmonic Means of Convex Functions
Published 2012-01-01“…A new algorithmic self-dual operator for convex functions named “the geometric mean of parameterized arithmetic and harmonic means of convex functions” is proposed, and its essential properties are investigated.…”
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219
YOLOrot2.0: A novel algorithm for high-precision rice seed size measurement with real-time processing
Published 2024-12-01“…Experimental results demonstrate that YOLOrot2.0 achieves an mAP (mean average precision) score of 0.95, surpassing other comparative algorithms. …”
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220
Analyzing the Problems of Ayandeh Bank Branches across the Country Using Data Mining Technique
Published 2014-06-01Subjects: Get full text
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