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A Method for Evaluating the Maturity Level of Production Process Automation in the Context of Digital Transformation—Polish Case Study
A Method for Evaluating the Maturity Level of Production Process Automation in the Context of Digital Transformation—Polish Case Study
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A Method for Evaluating the Maturity Level of Production Process Automation in the Context of Digital Transformation—Polish Case Study

Hetmanczyk, Mariusz Piotr

Applied sciences, 2024-06, Vol.14 (11), p.4380 [Periódico revisado por pares]

Basel: MDPI AG

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2
Preparation of Fe3O4@SiO2@N-TiO2 and Its Application for Photocatalytic Degradation of Methyl Orange in Na2SO4 Solution
Preparation of Fe3O4@SiO2@N-TiO2 and Its Application for Photocatalytic Degradation of Methyl Orange in Na2SO4 Solution
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Preparation of Fe3O4@SiO2@N-TiO2 and Its Application for Photocatalytic Degradation of Methyl Orange in Na2SO4 Solution

Sun, Li ; Ouyang, Xingyu ; Li, Zilong ; Yuan, Zhigang ; Gong, Wenbang ; Chen, Zhen ; Mei, Shunqi ; Liu, Ying ; Zhou, Quan

Applied sciences, 2024-06, Vol.14 (12), p.5205 [Periódico revisado por pares]

Basel: MDPI AG

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Study on the Macro-Fine Mechanical Behavior of Ore Flow Based on the Discrete Element Method
Study on the Macro-Fine Mechanical Behavior of Ore Flow Based on the Discrete Element Method
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Study on the Macro-Fine Mechanical Behavior of Ore Flow Based on the Discrete Element Method

Xia, Zhiguo ; Deng, Zhe ; Lu, Zengxiang ; Ma, Chenglong

Applied sciences, 2024-04, Vol.14 (8), p.3457 [Periódico revisado por pares]

Basel: MDPI AG

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4
A Multivariate Time Series Analysis of Electrical Load Forecasting Based on a Hybrid Feature Selection Approach and Explainable Deep Learning
A Multivariate Time Series Analysis of Electrical Load Forecasting Based on a Hybrid Feature Selection Approach and Explainable Deep Learning
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A Multivariate Time Series Analysis of Electrical Load Forecasting Based on a Hybrid Feature Selection Approach and Explainable Deep Learning

Yaprakdal, Fatma ; Varol Arısoy, Merve

Applied sciences, 2023-12, Vol.13 (23), p.12946 [Periódico revisado por pares]

Basel: MDPI AG

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5
Methodology for CubeSat Debris Collision Avoidance Based on Its Active ADCS System
Methodology for CubeSat Debris Collision Avoidance Based on Its Active ADCS System
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Methodology for CubeSat Debris Collision Avoidance Based on Its Active ADCS System

González-Rodríguez, Desiree ; Orgeira-Crespo, Pedro ; Cappelletti, Chantal ; Aguado-Agelet, Fernando

Applied sciences, 2023-11, Vol.13 (22), p.12388 [Periódico revisado por pares]

Basel: MDPI AG

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6
Multi-AUV Control Method Based on Inverse Optimal Control of Integrated Obstacle Avoidance Algorithm
Multi-AUV Control Method Based on Inverse Optimal Control of Integrated Obstacle Avoidance Algorithm
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Multi-AUV Control Method Based on Inverse Optimal Control of Integrated Obstacle Avoidance Algorithm

Shao, Gang ; Wan, Lei ; Xu, Huixi

Applied sciences, 2023-11, Vol.13 (22), p.12198 [Periódico revisado por pares]

Basel: MDPI AG

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7
Construction Quality of Prefabricated Buildings Using Structural Equation Modeling
Construction Quality of Prefabricated Buildings Using Structural Equation Modeling
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Construction Quality of Prefabricated Buildings Using Structural Equation Modeling

Chai, Ying ; Liang, Xiufeng ; Liu, Yi

Applied sciences, 2023-09, Vol.13 (17), p.9629 [Periódico revisado por pares]

Basel: MDPI AG

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8
An Optimized Energy and Time Constraints-Based Path Planning for the Navigation of Mobile Robots Using an Intelligent Particle Swarm Optimization Technique
An Optimized Energy and Time Constraints-Based Path Planning for the Navigation of Mobile Robots Using an Intelligent Particle Swarm Optimization Technique
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An Optimized Energy and Time Constraints-Based Path Planning for the Navigation of Mobile Robots Using an Intelligent Particle Swarm Optimization Technique

Raj, Ravi ; Kos, Andrzej

Applied sciences, 2023-09, Vol.13 (17), p.9667 [Periódico revisado por pares]

Basel: MDPI AG

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9
Multi-Agent Chronological Planning with Model-Agnostic Meta Reinforcement Learning
Multi-Agent Chronological Planning with Model-Agnostic Meta Reinforcement Learning
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Multi-Agent Chronological Planning with Model-Agnostic Meta Reinforcement Learning

Hu, Cong ; Xu, Kai ; Zhu, Zhengqiu ; Qin, Long ; Yin, Quanjun

Applied sciences, 2023-08, Vol.13 (16), p.9174 [Periódico revisado por pares]

Basel: MDPI AG

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10
Pore Structure and Permeability of Tight-Pore Sandstones: Quantitative Test of the Lattice–Boltzmann Method
Pore Structure and Permeability of Tight-Pore Sandstones: Quantitative Test of the Lattice–Boltzmann Method
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Pore Structure and Permeability of Tight-Pore Sandstones: Quantitative Test of the Lattice–Boltzmann Method

Olhin, Andrey ; Vishnyakov, Aleksey

Applied sciences, 2023-08, Vol.13 (16), p.9112 [Periódico revisado por pares]

Basel: MDPI AG

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