The Path Planning Problem of Robotic Delivery in Multi-Floor Hotel Environments by Linghui Han, Junzhe Ding, Songtao Liu, Meng Meng

“…To solve this NP-hard problem, an Adaptive Large Neighborhood Search (ALNS) algorithm is proposed. The effectiveness of the algorithm is validated through comparative experiments with Gurobi, demonstrating its ability to handle complex three-dimensional delivery scenarios. …”
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Vibration Analysis of a Centrifugal Pump with Healthy and Defective Impellers and Fault Detection Using Multi-Layer Perceptron by Masoud Hatami Garousi, Mahdi Karimi, Paolo Casoli, Massimo Rundo, Rasoul Fallahzadeh

“…CPs’ most common faults can be categorized as mechanical or flow-related faults: the first ones are often associated with damage at the impeller, while the second ones are associated with cavitation. …”
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X-FuseRLSTM: A Cross-Domain Explainable Intrusion Detection Framework in IoT Using the Attention-Guided Dual-Path Feature Fusion and Residual LSTM by Adel Alabbadi, Fuad Bajaber

“…For cross-domain intrusion detection, this paper proposes a novel algorithm, X-FuseRLSTM, a dual-path feature fusion framework that is attention guided and coupled with a residual LSTM architecture. …”
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Integrating system dynamics and machine learning for environmental impact analysis of building materials in the demolition process by Babatunde Oluwaseun Ajayi, Mayowa Emmanuel Bamisaye, Hugo Miguel Magalhães Macedo, Issara Sereewatthanawut

“…The RF algorithm validates the SD model, while sensitivity analysis enhances robustness. …”
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De-speckling 2D-Discrete Wavelet Transform with Hard Threshold Stage by Dhafer Hasan, Maha Abdul-Jabar, Zahraa Abed Al-Mokhtar

“…This paper represents the algorithm to remove the speckle noise by using logarithm operation. …”
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Incremental Reinforcement Learning for Portfolio Optimisation by Refiloe Shabe, Andries Engelbrecht, Kian Anderson

“…This study introduces a recurrent proximal policy optimisation (PPO) algorithm, leveraging recurrent neural networks (RNNs), specifically the long short-term memory network (LSTM) for pattern recognition. …”
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Comparison of Machine Learning Inversion Methods for Salinity in the Central Indian Ocean Based on SMOS Satellite Data by Ziyi Gong, Hongchang He, Donglin Fan, You Zeng, Zhenhao Liu, Bozhi Pan

“…In this paper, the central Indian Ocean (60°–95°E, 0°–37°S) has been selected as the research area, and Argo salinity data are used as the measured values. The Catboost algorithm is introduced for the first time to retrieve sea surface salinity, and a comparison is made with the traditional artificial neural network (ANN) and random forest (RF) machine learning algorithm. …”
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Research on Microscale Vehicle Logo Detection Based on Real-Time DEtection TRansformer (RT-DETR) by Meiting Jin, Junxing Zhang

“…Building upon the RT-DETR algorithm, we propose a lightweight vehicle logo detection algorithm for long-range vehicle logos. …”
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CT-Scan Method-based Artificial Neural Network for Diagnosis of COVID-19 by Humam Adnan Sameer, Ammar Hussein Mutlag, Sadik Kamel Gharghan

“…The results showed that two hidden layers were chosen for the ANN algorithm, where the first hidden layer was installed with ten nodes, while the second hidden layer was selected with five nodes once, ten nodes again, fifteen nodes, and twenty nodes. …”
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Iterative Reconstruction with Dynamic ElasticNet Regularization for Nuclear Medicine Imaging by Ryosuke Kasai, Hideki Otsuka

“…This study proposes a novel image reconstruction algorithm for nuclear medicine imaging based on the maximum likelihood expectation maximization (MLEM) framework with dynamic ElasticNet regularization. …”
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Research on Status Assessment and Operation and Maintenance of Electric Vehicle DC Charging Stations Based on XGboost by Hualiang Fang, Jiaqi Liao, Shuo Huang, Maojie Zhang

“…To address the effective operation and maintenance of charging stations, a method based on the XGBoost algorithm for electric vehicle DC charging stations is proposed. …”
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SAT: Spectrum-Adaptive Transformer with Spatial Awareness for UAV Target Tracking by Wanying Xu, Haijiang Sun, Shuai Wang

“…Although various advanced algorithms have been developed in the domain of object tracking, resources specifically dedicated to UAV target tracking remain scarce. …”
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Heisenberg-Limited Adaptive Gradient Estimation for Multiple Observables by Kaito Wada, Naoki Yamamoto, Nobuyuki Yoshioka

“…The proposed method is an adaptive version of the quantum gradient-estimation algorithm and has a resource-efficient implementation due to its adaptiveness. …”
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Network Optimization of Fresh Products Cold Chain Considering Supply Disruption and Demand Fluctuation Under the Dual-Carbon Policy by Haojie Ran, Dichen He, Huajun Tang

“…This study focuses on introducing the key optimization goals of the cold chain network for fresh products: maximizing the service level while minimizing operating costs and carbon emissions. …”
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Accurate extraction of electrical parameters in three-diode photovoltaic systems through the enhanced mother tree methodology: A novel approach for parameter estimation. by Mouncef El Marghichi, Abdelilah Hilali, Abdelkhalek Chellakhi, Mohamed Makhad, Azeddine Loulijat, Najib El Ouanjli, Abdelhak Essounaini, Vikash Kumar Saini, Ameena Saad Al-Sumaiti

“…This study introduces the Mother Tree Optimization with Climate Change (MTO-CL) algorithm to address this challenge by enhancing parameter estimation for a solar PV three-diode model. …”
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Anomaly-Focused Augmentation Method for Industrial Visual Inspection by Melvin A. MELVINLARA, Ibrahim A. Hameed, Jiri Koziorek

“…This paper proposes a novel image augmentation algorithm to address this limitation by generating synthetic imperfections from a small sample set. …”
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Analysis of Regional Spatial Characteristics and Optimization of Tourism Routes Based on Point Cloud Data from Unmanned Aerial Vehicles by Yu Chen, Hui Zhong, Jianglong Yu

“…The findings provide valuable technical support for enhancing tourism planning and management in scenic areas while maintaining a balance with conservation efforts.…”
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Design of a water heating system for automatic coffee maker using OMRON CP1E-NA20DR-A PLC and PID control by Rosyady Phisca Aditya, Aditya Wahyu, Habibah Nurina Umy

“…Automatic coffee makers require an accurate water heating system, while the water used to brew coffee drinks is not less than 80ºC and not more than 85ºC. …”
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AIMP-Based Power Allocation for Radar Network Tracking Under Countermeasures Environment by Xiaoyou Xing, Longxiao Xu, Lvwan Nie, Xueting Li

“…In this paper, we propose an adaptive interacting multiple power (AIMP)-based power allocation algorithm for radar network tracking by jointly considering the electronic jamming and the target RCS, achieving better anti-jamming capability and lower probability of intercept (LPI) while not reducing the tracking accuracy. …”
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Anomaly detection in virtual machine logs against irrelevant attribute interference. by Hao Zhang, Yun Zhou, Huahu Xu, Jiangang Shi, Xinhua Lin, Yiqin Gao

“…Firstly, the log parsing algorithm is used to parse the logs. Then, the feature extraction algorithm, which combines Long Short-Term Memory and Autoencoder-Decoder, is applied to extract features. …”
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