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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 Multiobjective Genetic Algorithm for Assessing Service Quality Factors in Banking Environment
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A Multiobjective Genetic Algorithm for Assessing Service Quality Factors in Banking Environment
Femi Ayo et al · University of Mosul, College of Education for Pure Science · 2026 · ISSN 1812-125X
This study proposes a multiobjective genetic algorithm-based framework to optimize key determinants of service quality in banking environments, addressing the limitations of conventional SERVQUAL and BSQ model. This stud...
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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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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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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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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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 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...
LCC TENDOk1lY2hhbmljYWwgZW5naW5lZXJpbmcgYW5kIG1hY2hpbmVyeQ~~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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Fault localization method for low-voltage distribution network based on voltage difference network mapping and posterior probability verification
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Fault localization method for low-voltage distribution network based on voltage difference network mapping and posterior probability verification
LI Qingshan et al · Harbin Jinhe Electrical Measurement & Instrumentation Magazine Publishing Co., Ltd · 2026 · ISSN 1001-1390
Aiming at the problem that the topology of low-voltage distribution network is complex and leads to low fault segment localization accuracy, a fault segment localization method based on voltage difference network mapping...
LCC TENDOkluc3RydW1lbnRzIGFuZCBtYWNoaW5lcw~~; LCC:Electrical engineering. Electronics. Nuclear engineering; TENDOlNjaWVuY2U~Idioma zho
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Path planning for construction site inspection robots based on the hybrid optimization of improved APF and improved ACO
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Path planning for construction site inspection robots based on the hybrid optimization of improved APF and improved ACO
Yu Hu · Springer · 2026 · ISSN 2731-0809
Abstract In response to the dual challenges of complex static obstacles and frequent dynamic disturbances in the construction site environment, this paper proposes a hybrid path planning strategy that integrates global s...
LCC TENDOkNvbXB1dGF0aW9uYWwgbGluZ3Vpc3RpY3MuIE5hdHVyYWwgbGFuZ3VhZ2UgcHJvY2Vzc2luZw~~; LCC:Electronic computers. Computer sciIdioma eng
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Research on multi-energy power dispatching method based on carbon trading and green certificate trading
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Research on multi-energy power dispatching method based on carbon trading and green certificate trading
WU Ruobing et al · Harbin Jinhe Electrical Measurement & Instrumentation Magazine Publishing Co., Ltd · 2026 · ISSN 1001-1390
The proposal of the carbon peaking and carbon neutrality target has promoted the transition of power dispatching to low-carbon. In response to the problem that existing multi energy power dispatching methods are difficul...
LCC TENDOkluc3RydW1lbnRzIGFuZCBtYWNoaW5lcw~~; LCC:Electrical engineering. Electronics. Nuclear engineering; TENDOlNjaWVuY2U~Idioma zho
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Fuzzy chance constraint-based task offloading for MEC under uncertainties with joint multi-network collaboration and privacy preservation
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Fuzzy chance constraint-based task offloading for MEC under uncertainties with joint multi-network collaboration and privacy preservation
Xiaomin Jin et al · Springer · 2026 · ISSN 1319-1578
Abstract While multi-access edge computing (MEC) enables flexible task offloading, the inherent dynamism and complexity of real-world environments, accompanied by various uncertainties, exacerbate the challenges in offlo...
LCC LCC:Electronic computers. Computer scienceIdioma eng
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Insights into recent developments and obstacles in automated fruit ripeness classification
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Insights into recent developments and obstacles in automated fruit ripeness classification
Zienab F.R. Ahmed et al · KeAi Communications Co., Ltd · 2026 · ISSN 2949-7361
The ripening stage of a fruit is a crucial determinant of its quality. Traditional assessment methods for fruit ripeness are often subjective, error-prone, and time-consuming. Therefore, numerous attempts are being made ...
LCC TENDOkVudmlyb25tZW50YWwgZW5naW5lZXJpbmc~; TENDOkVudmlyb25tZW50YWwgc2NpZW5jZXM~Idioma eng
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Optimization of urban and rural planning layout based on POI data and ACO model
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Optimization of urban and rural planning layout based on POI data and ACO model
Meiying Wang · Springer · 2026 · ISSN 2948-2992
Abstract To solve the problem of poor effectiveness and efficiency in traditional urban and rural planning layout optimization methods, an innovative urban and rural planning layout optimization method combining ant colo...
LCC LCC:Electronic computers. Computer scienceIdioma eng
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