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3D cross-hole resistivity inversion imaging of surrounding rock based on distance weighting constraint algorithm

ISSN: 10004548 · Editor / fuente: Editorial Office of Chinese Journal of Geotechnical Engineering

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Algorithmic “collusion” and the application of article 101 TFEU: can an agreement exists without a concurrence of wills?
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Algorithmic “collusion” and the application of article 101 TFEU: can an agreement exists without a concurrence of wills?
Guilherme Oliveira e Costa · Universidade Católica Editora · 2026 · ISSN 2184-0008
Algorithms pose interesting challenges to competition law, particularly discussing which practices involving this fast-paced technologies may or should be caught under Article 101 of the Treaty on the Functioning of the ...
LCC TENDOkxhYm9yIG1hcmtldC4gTGFib3Igc3VwcGx5LiBMYWJvciBkZW1hbmQ~; TENDOkxhdw~~; LCC:BusinessIdioma eng
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A new self scaling PCG algorithm with dynamical retards
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A new self scaling PCG algorithm with dynamical retards
ABBAS Y. AL-BAYATI et al · University of Mosul, College of Education for Pure Science · 2008 · ISSN 1812-125X
Abstract The problem of optimizing a certain systems as a function of time may be formulated in terms of maximizing or minimizing a non-linear cost function. It was found that a Dynamic Programming (DP) algorithm was par...
LCC TENDOkVkdWNhdGlvbg~~; LCC:Science (General)Idioma eng
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Application of the Newton–Raphson algorithm for enhanced harmonic reduction in seven-level packed U-cell multilevel inverters
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Application of the Newton–Raphson algorithm for enhanced harmonic reduction in seven-level packed U-cell multilevel inverters
O. A. Y. Amran et al · National Technical University "Kharkiv Polytechnic Institute" · 2026 · ISSN 2074-272X
Introduction. Recently, multilevel inverters (MLIs) have been widely investigated for industrial and renewable energy systems as they are valuable in applications where they can produce clean, high-fidelity electrical si...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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Design of an adaptive borehole layout algorithm based on detonation network parameter optimization
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Design of an adaptive borehole layout algorithm based on detonation network parameter optimization
WANG Xiongzhi et al · Emergency Management Press · 2026 · ISSN 2096-2193
In blasting design, blasting parameters poorly match the actual blast area, while manual adjustments result in low efficiency and suboptimal borehole layout. This study therefore proposes a borehole layout optimization a...
LCC LCC:Engineering geology. Rock mechanics. Soil mechanics. Underground construction; TENDOk1pbmluZyBlbmdpbmVlcmluZy4gTWV0YIdioma eng
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Fault perception analysis of distribution network based on FAGA-BP neural network algorithm
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Fault perception analysis of distribution network based on FAGA-BP neural network algorithm
LI Wenke et al · Harbin Jinhe Electrical Measurement & Instrumentation Magazine Publishing Co., Ltd · 2026 · ISSN 1001-1390
In response to the unstable accuracy rate of fault location in distribution network lines and the significant impact of communication with distribution automation devices, the fault perception analysis of distribution ne...
LCC TENDOkluc3RydW1lbnRzIGFuZCBtYWNoaW5lcw~~; LCC:Electrical engineering. Electronics. Nuclear engineering; TENDOlNjaWVuY2U~Idioma zho
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Low-Complexity Data Detection Based on Combined SD and SOR Algorithms for Uplink Massive MIMO Systems
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Low-Complexity Data Detection Based on Combined SD and SOR Algorithms for Uplink Massive MIMO Systems
Aounallah Naceur et al · Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo · 2026 · ISSN 2179-1074
Abstract The zero forcing (ZF) and the and minimum mean square error (MMSE) conventional algorithms has been widely employed as near-optimal detectors for large-scale multiple-input multiple-output (LS-MIMO) systems, whe...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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Method for Fault Feature Selection for a Baler Gearbox Based on an Improved Adaptive Genetic Algorithm
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Method for Fault Feature Selection for a Baler Gearbox Based on an Improved Adaptive Genetic Algorithm
Bin Ren et al · KeAi Communications Co., Ltd · 2022 · ISSN 1000-9345
Abstract The performance and efficiency of a baler deteriorate as a result of gearbox failure. One way to overcome this challenge is to select appropriate fault feature parameters for fault diagnosis and monitoring gearb...
LCC LCC:Ocean engineering; TENDOk1lY2hhbmljYWwgZW5naW5lZXJpbmcgYW5kIG1hY2hpbmVyeQ~~Idioma eng
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New methods for developing parallel algorithms of direct search in numerical optimization
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New methods for developing parallel algorithms of direct search in numerical optimization
Firas Mahmood Saeed et al · University of Mosul, College of Education for Pure Science · 2013 · ISSN 1812-125X
Abstract The Purpose of this research is the development Direct Search Methods for minimizing the objective function; The Developed Methods reduces the approach time to the minimum through two techniques: 1) by reducing...
LCC TENDOkVkdWNhdGlvbg~~; LCC:Science (General)Idioma eng
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Online prediction algorithm for power data deviation extremes based on time series mining algorithm
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Online prediction algorithm for power data deviation extremes based on time series mining algorithm
Guoyao Wu et al · Springer · 2026 · ISSN 2948-2992
Abstract The integration of large-scale distributed power sources complicates grid topology and intensifies spatiotemporal coupling in power data. This complicates the analysis of intrinsic correlations and makes predict...
LCC LCC:Electronic computers. Computer scienceIdioma eng
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Planning of a Single Flow Channel in Valve Blocks Based on Additive Manufacturing and the Ant Colony Algorithm
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Planning of a Single Flow Channel in Valve Blocks Based on Additive Manufacturing and the Ant Colony Algorithm
Jin Zhang et al · KeAi Communications Co., Ltd · 2024 · ISSN 2192-8258
Abstract As electro-hydrostatic actuator (EHA) technology advances towards lightweight and integration, the demand for enhanced internal flow pathways in hydraulic valve blocks intensifies. However, owing to the constrai...
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Power system operational optimization using the kakapo optimization algorithm for dynamic economic dispatch
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Power system operational optimization using the kakapo optimization algorithm for dynamic economic dispatch
S. A. Alomari et al · National Technical University "Kharkiv Polytechnic Institute" · 2026 · ISSN 2074-272X
Introduction. Metaheuristic algorithms are effective for solving complex power system optimization problems characterized by nonlinearity, multimodality, and high dimensionality. Nature-inspired strategies based on adapt...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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Simplified Matrix Focusing Imaging Algorithm for Ultrasonic Nondestructive Testing
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Simplified Matrix Focusing Imaging Algorithm for Ultrasonic Nondestructive Testing
Xinyu Zhao et al · KeAi Communications Co., Ltd · 2022 · ISSN 1000-9345
Abstract Full matrix focusing method of ultrasonic phased array has been proved with advantages of good signal-to-noise ratio and imaging resolution in the field of Ultrasonic NDT. However, it is still suffering from the...
LCC LCC:Ocean engineering; TENDOk1lY2hhbmljYWwgZW5naW5lZXJpbmcgYW5kIG1hY2hpbmVyeQ~~Idioma eng
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The convergence and numerical analysis of shrinking projection algorithms with two iterative sequences and hybrid midpoint rules in Hilbert spaces
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The convergence and numerical analysis of shrinking projection algorithms with two iterative sequences and hybrid midpoint rules in Hilbert spaces
Weng Shengquan et al · De Gruyter · 2026 · ISSN 2391-5455
In this paper, firstly, based on Halpern iterative algorithm, Mann iterative algorithm, shrinking projection algorithm and hybrid midpoint rules, we introduce two modified strong convergence algorithms for nonexpansive m...
LCC LCC:MathematicsIdioma eng
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Vis-NIR spectrometric determination of Brix and sucrose in sugar production samples using kernel partial least squares with interval selection based on the successive projections algorithm
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Vis-NIR spectrometric determination of Brix and sucrose in sugar production samples using kernel partial least squares with interval selection based on the successive projections algorithm
de Almeida, Valber Elias et al · Elsevier Science · 2018 · ISSN 0039-9140
This paper proposes a new variable selection method for nonlinear multivariate calibration, combining the Successive Projections Algorithm for interval selection (iSPA) with the Kernel Partial Least Squares (Kernel-PLS) ...
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A Formation Inversion Algorithm Based on Collaborative Fuzzy Gradient Neural Dynamics for Natural Gamma Logging While Drilling
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A Formation Inversion Algorithm Based on Collaborative Fuzzy Gradient Neural Dynamics for Natural Gamma Logging While Drilling
Juntao Liu et al · Wiley · 2026 · ISSN 2468-2322
ABSTRACT A formation inversion algorithm with real‐time performance and accuracy is crucial for natural gamma logging while drilling (LWD). However, traditional inversion algorithms are often limited by high computatio...
LCC TENDOkNvbXB1dGF0aW9uYWwgbGluZ3Vpc3RpY3MuIE5hdHVyYWwgbGFuZ3VhZ2UgcHJvY2Vzc2luZw~~; LCC:Computer softwareIdioma eng
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A new hybrid physics-guided AI algorithm for water quality prediction supported by variable coefficients advection-diffusion model
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A new hybrid physics-guided AI algorithm for water quality prediction supported by variable coefficients advection-diffusion model
Hussein Karam Abd El-Sattar et al · Springer · 2026 · ISSN 2731-0809
Abstract Physical sciences are essential to the predictive modeling of complex environmental systems, particularly environmental monitoring and sustainability applications, as they provide the deterministic foundation re...
LCC TENDOkNvbXB1dGF0aW9uYWwgbGluZ3Vpc3RpY3MuIE5hdHVyYWwgbGFuZ3VhZ2UgcHJvY2Vzc2luZw~~; LCC:Electronic computers. Computer sciIdioma eng
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A new self –scaling VM-algorithm with an adaptive line search
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A new self –scaling VM-algorithm with an adaptive line search
Abbas. Al-Baiati et al · University of Mosul, College of Education for Pure Science · 2010 · ISSN 1812-125X
Abstract In this study, a new self-scaling VM algorithm for solving large-scale nonlinear unconstrained optimization problems is proposed. The new algorithm is a kind of line search procedure .The local convergence theor...
LCC TENDOkVkdWNhdGlvbg~~; LCC:Science (General)Idioma eng
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A reinforced multi-strategy parrot optimization algorithm and its application in practical engineering optimization
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A reinforced multi-strategy parrot optimization algorithm and its application in practical engineering optimization
Run-Meng Ma et al · SAGE Publishing · 2026 · ISSN 1687-8140
To address the issues of low solution accuracy, premature convergence, and susceptibility to local optima in the Parrot Optimization (PO) algorithm, a Reinforced Multi-strategy Parrot Optimization (RMPO) algorithm has be...
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Air Temperature Prediction System Using Long Short-Term Memory Algorithm
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Air Temperature Prediction System Using Long Short-Term Memory Algorithm
Ria Faulina et al · Lembaga Penelitian dan Pengabdian kepada Masyarakat · 2024 · ISSN 0216-9495
Air temperature is a highly essential parameter in weather forecasting methods and a critical variable for predicting future weather patterns. An accurate temperature prediction system can assist individuals and organiza...
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Automatic classifier algorithm selection using optimized meta-features
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Automatic classifier algorithm selection using optimized meta-features
Hidetaka Nambo et al · Society for Science and Technology · 2016 · ISSN 2186-4942
With the arrival of big-data society, methods for classifying real-world problems have attracted much attention for researchers and developers in various fields. In recent years, much effort has been devoted for improvin...
LCC LCC:Technology (General)Idioma eng
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Classification of Eligibility for BPNT Recipients Using the K-Nearest Neighbor Algorithm
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Classification of Eligibility for BPNT Recipients Using the K-Nearest Neighbor Algorithm
Eka Rahayu et al · Islamic University of Indragiri · 2024 · ISSN 2302-8149
BPNT (Non-Cash Food Assistance) is food social assistance in non-cash form from the government which is given to Beneficiary Families (KPM) every month. In its implementation, BPNT is still encountering a number of obsta...
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Comparison of k-Nearest Neighbor and Support Vector Machine using Binary Dragonfly Algorithm Optimization
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Comparison of k-Nearest Neighbor and Support Vector Machine using Binary Dragonfly Algorithm Optimization
Andi Nugroho et al · Islamic University of Indragiri · 2024 · ISSN 2302-8149
BDA is an adaptation of Dragonfly Algorithm (DA) that optimizes computation for single-objective, discrete, and multi-objective problems. Combining BDA optimization algorithm with KNN and SVM classification algorithms ai...
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Encryption and Compression Digital Video Files using Artificial Neural Networks and Genetic Algorithm
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Encryption and Compression Digital Video Files using Artificial Neural Networks and Genetic Algorithm
Hasan Anwer · University of Mosul, College of Education for Pure Science · 2019 · ISSN 1812-125X
The research and studies of encryption and compression of digital files to the confidentiality and ease of dealing with networks and the Internet, by reducing the size of files transmitted through multimedia, and also us...
LCC TENDOkVkdWNhdGlvbg~~; LCC:Science (General)Idioma eng
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Evaluating network-based algorithms for protein function prediction using plant protein-protein interaction networks
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Evaluating network-based algorithms for protein function prediction using plant protein-protein interaction networks
M. A.S.U. Piyatissa et al · BMC · 2026 · ISSN 1471-2229
Abstract Background Protein-protein interaction (PPI) network-based protein function prediction algorithms, which use the guilt-by-association principle, are widely applied in medical and human domains, but they are comp...
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