Optimization of Production Scheduling for the Additive Manufacturing of Ship Models Using a Hybrid Method by Kyeongho Kim, Soonjo Kwon, Minjoo Choi

“…This paper introduces a hybrid optimization method that leverages either linear programming (LP) or a genetic algorithm (GA) based on the problem size to enhance the parallel additive manufacturing (AM) process for ship models. …”
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Finding Key Nodes in Complex Networks Through Quantum Deep Reinforcement Learning by Juechan Xiong, Xiao-Long Ren, Linyuan Lü

“…We compared the proposed algorithm with some classical node ranking and network dismantling algorithms on various synthetical and empirical networks. …”
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Providing QoS and Resiliency for Video Streaming Over MPTCP by Shadi Bikas, Muge Sayit

“…Additionally, we assess the resiliency of the proposed algorithm in scenarios involving subflow failures within the MPTCP connection. …”
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Remaining useful life prediction of a small sample of aero-engine based on an improved gray Markov model by Dong-hai Li, Ji-liang Tu, Hui Liu, Nai-zhi Liao

“…To enhance adaptability, a genetic algorithm dynamically optimizes the time response parameters of the grey model, overcoming the limitation of a fixed structure in traditional methods. …”
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Generative design recommendations for the historical Mardiṅ High School and Gaziṗaşa Primary School buildings, Turkey by Mizgin Gökçe Salık, Fatma Demet Aykal

“…The genetic algorithm (GA) is inspired by natural selection, emphasizing the survival of the fittest. …”
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Brain age prediction from MRI images based on a convolutional neural network with MRMR feature selection layer by Mustafa Hatem Al Ghariri, Seyed Omid Shahdi

“…The feature selection layer uses MRMR algorithm which identifies essential characteristics for a target variable while minimizing feature redundancy to select the optimal feature subset. …”
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Counselor type (Human/AI) and consultation intention: a moderated mediation model of trust and psychological counseling scenarios by Wei-zhong Zhang, Rong Lian

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Mapping Kuwait bathymetry using passive multispectral remote sensing by Jasem A Albanai

“…Some are commercial, such as IKONAS and WorldView, while others are freely available, such as Landsat 8 and sentainel-2. …”
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Low pressure PEM electrolyzer system modeling with heat loss representation by Asmaa A. Ghany, Mohamed Mahmoud Samy

“…A recursive identification algorithm method is utilized to estimate the additional resistance associated with heat loss. …”
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A dimension reduction assisted credit scoring method for big data with categorical features by Tatjana Miljkovic, Pei Wang

“…The evidence suggests that even small improvements in the accuracy of existing credit-scoring models may optimize profits while effectively managing risk exposure. Despite continuing efforts, the majority of existing credit scoring models still include some judgment-based assumptions that are sometimes supported by the significant findings of previous studies but are not validated using the institution’s internal data. …”
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A Novel Dangerous Goods Detection Network Based on Multi-Layer Attention Mechanism in X-Ray Baggage Images by Xu Yang, Ting Lan, Yili Xu

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Optimized SPR-PCF sensor for sucrose detection inspired by vertical pupil geometry by Mohammad Reza Khodatars Dashtmian, Vahid Fallahi, Mahmood Seifouri, Saeed Olyaee

“…The primary objective is achieving superior amplitude sensitivity (AS) while minimizing losses. To ensure this, we have applied the Nelder-Mead algorithm for precise optimization of the structural parameters. …”
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Path planning of unmanned ships based on A* and dynamic window approach by FU Long, SHEN Zhen, TAO Hao, HAN Yunjun, DONG Xisong, XIONG Gang

“…To address the challenge of balancing global optimization, efficiency, and safety in path planning, a method that integrates global search and local optimization was proposed, based on the A* algorithm and the dynamic window approach (DWA). The A* algorithm computed the global shortest path in a static environment, while the improved DWA optimized local path obstacle avoidance between path nodes. …”
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PEDAGOGICAL TECHNOLOGY AIMED AT STUDENTS’ ADAPTATION TO DISCIPLINE-BASED EDUCATION IN SECONDARY SCHOOLS by Ekaterina M. Cheprakova, Alexander A. Frolov

“…These objectives can be achieved through generation of skills based on the algorithmic of the concepts’ definitions mastering. …”
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BOOTSTRAPPING METHODS FOR CONSTRUCTING CONFIDENCE INTERVALS FOR THE ESTIMATION OF MODEL PARAMETERS OF THE ZONAL DISINTEGRATION OF ROCKS AROUND UNDERGROUND EXCAVATIONS by Alexsandr S. Losev

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Broadcasting in Stars of Cliques and Path-Connected Cliques by Akash Ambashankar, Hovhannes A. Harutyunyan

“…Determining the broadcast time for a node in an arbitrary network is NP-complete. While polynomial-time algorithms exist for specific network topologies, the problem remains open for many others. …”
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Hybrid Machine Learning Model for Predicting Shear Strength of Rock Joints by Daxing Lei, Yaoping Zhang, Zhigang Lu, Hang Lin, Yifan Chen

“…To address these challenges, this study proposes a hybrid ML model that integrates a multilayer perceptron (MLP) with the slime mold algorithm (SMA), termed the SMA-MLP model. While MLP exhibits strong nonlinear mapping capability, SMA enhances its training process through global optimization and parameter tuning, thereby improving predictive accuracy and robustness. …”
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Self-consistent gravity model for inferring node mass in flow networks by Daekyung Lee, Wonguk Cho, Heetae Kim, Gunn Kim, Hyeong-Chai Jeong, Beom Jun Kim

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Neural network inspired efficient scalable task scheduling for cloud infrastructure by Punit Gupta, Arnaav Anand, Pratyush Agarwal, Gavin McArdle

“…In this work, we aim to use the Harmony Search Algorithm and neural networks to create a fault aware system for optimal usage of cloud resources. …”
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Optimized Metamaterials for Design of Enhanced-Performance High Order Mode Dipole-Driven Yagi-Uda Antenna for Millimeter Wave Applications by Bashar A. F. Esmail, Dustin Isleifson, Slawomir Koziel, Anna Pietrenko-Dabrowska

“…The metamaterial array was optimized using the trust-region (TR) algorithm, resulting in a significant gain enhancement, reaching 13.8 dBi at 28 GHz while maintaining the operational bandwidth in terms of impedance matching. …”
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