Collision avoidance method for unmanned ships using a modified APF algorithm by Lianbo Li, Wenhao Wu, Zhengqian Li, Fangjie Wang

“…The Artificial Potential Field (APF) algorithm has been widely used for collision avoidance on unmanned ships. …”
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Modeling of Photovoltaic System with Modified Incremental Conductance Algorithm for Fast Changes of Irradiance by Saad Motahhir, Abdelaziz El Ghzizal, Souad Sebti, Aziz Derouich

“…Finally, simulations of the conventional and modified algorithm are compared, and the results show that the modified algorithm provides an accurate response to a sudden increase in solar irradiation.…”
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Main Lobe Anti-Interference Algorithm Based on Robust Oblique Projection Preprocessing by Sui Zhenxing, Wang Zheng, Yuan Xiaolei

“…These two non-ideal application scenarios will seriously deteriorate the algorithm’s anti-interference performance. This paper proposes an anti-mainlobe interference algorithm based on robust oblique projection preprocessing. …”
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A rapid heuristic algorithm to solve the single individual haplotype assembly problem by Melina Bagher, Reza Karimzadeh, Mehran Jahed, Babak Hossein Khalaj

“…The second stage of the algorithm involves refining the reconstructed haplotypes to increase their accuracy. …”
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An Improved Physics-Informed Neural Network Algorithm for Predicting the Phreatic Line of Seepage by Yunpeng Gao, Li Qian, Tianzhi Yao, Zuguo Mo, Jianhai Zhang, Ru Zhang, Enlong Liu, Yonghong Li

“…As new ways to solve partial differential equations (PDEs), physics-informed neural network (PINN) algorithms have received widespread attention and have been applied in many fields of study. …”
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An Algorithm for Mining Frequent Approximate Subgraphs with Structural and Label Variations in Graph Collections by Daybelis Jaramillo-Olivares, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad

“…Unlike other FSM approaches, our proposed algorithm tracks subgraph occurrences and their structural dissimilarities, allowing user-defined partial similarities between node and edge labels, and captures frequent approximate subgraphs (patterns) that would otherwise be overlooked. …”
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A 3D Offline Packing Algorithm considering Cargo Orientation and Stability by Xianpei Wang, Li Gong, Haocheng Zhao, Bowen Li, Meng Tian

“…Taking the mean value of the reciprocal of space utilization as the objective function, this paper designs a hybrid genetic algorithm that combines genetic algorithm and tabu search algorithm. …”
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Small target detection in coal mine underground based on improved RTDETR algorithm by Feng Tian, Cong Song, Xiaopei Liu

“…A new BasicBlock-PConv module was created by incorporating Partial Convolutions (PConv) into the conventional BasicBlock, which was based on the FasterNet network. …”
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Improved Real-Time SPGA Algorithm and Hardware Processing Architecture for Small UAVs by Huan Wang, Yunlong Liu, Yanlei Li, Hang Li, Xuyang Ge, Jihao Xin, Xingdong Liang

“…This paper presents a non-iterative real-time Feature Sub-image Based Stripmap Phase Gradient Autofocus (FSI-SPGA) algorithm. The FSI-SPGA algorithm combines 2D Constant False Alarm Rate (CFAR) for coarse point selection and spatial decorrelation for refined point selection. …”
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Can machine-learning algorithms improve upon classical palaeoenvironmental reconstruction models? by P. Sun, P. B. Holden, H. J. B. Birks, H. J. B. Birks

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Energy-Efficient Node Selection Algorithms with Correlation Optimization in Wireless Sensor Networks by Hongju Cheng, Zhihuang Su, Daqiang Zhang, Jaime Lloret, Zhiyong Yu

“…In this paper, we firstly propose a new Cover Sets Balance (CSB) algorithm to choose a set of active nodes with the partially ordered tuple (data coverage range, residual energy). …”
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Lessons Learned from the CYK Algorithm for Parsing-based Verification of Hierarchical Plans by Simona Ondrčková, Roman Barták, Pascal Bercher, Gregor Behnke

“…In this paper, we ask whether the ideas from the CYK algorithm can be extended to a more general parsing-based approach that covers all planning domains, i.e., including partially ordered ones. …”
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A Robust Sidelobe Cancellation Algorithm Based on Beamforming Vector Norm Constraint by Qing Wang, Huanding Qin, Kai Yang, Hao Wu, Fangmin He, Jin Meng

“…In this paper, we propose a robust SLC algorithm based on beamforming vector norm constraint. …”
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Robust Algorithm for Calculating the Alignment of Guide Rolls in Slab Continuous Casting Machines by Robert Rosenthal, Nils Albersmann, Mohieddine Jelali

“…The algorithms are based on geometry and trigonometry or the gradient descent optimization algorithm. …”
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A modified algorithm of 'forward-backward' solving the identification of automata Markov models by A.R. Nurutdinova

“…This problem can be applied to solve a wide range of problems of identification of Markov chains, including partially hidden ones.…”
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Evaluation of Automated Object-Detection Algorithms for Koala Detection in Infrared Aerial Imagery by Laith A. H. Al-Shimaysawee, Anthony Finn, Delene Weber, Morgan F. Schebella, Russell S. A. Brinkworth

“…Koalas are also small and often partially or fully occluded by canopy, tree stems, or branches, or the background is highly complex. …”
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Amending the algorithm of aerosol–radiation interactions in WRF-Chem (v4.4) by J. Feng, C. Zhao, C. Zhao, C. Zhao, C. Zhao, C. Zhao, C. Zhao, Q. Du, Z. Yang, C. Jin

“…Furthermore, the amendment of the algorithm partially corrects the wind field and temperature simulation bias compared to the reanalysis data. …”
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Remaining Useful Life Estimation through Deep Learning Partial Differential Equation Models: A Framework for Degradation Dynamics Interpretation Using Latent Variables by Sergio Cofre-Martel, Enrique Lopez Droguett, Mohammad Modarres

“…For the past decade, researchers have explored the application of deep learning (DL) regression algorithms to predict the system’s health state behavior based on sensor readings from the monitoring system. …”
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Airway Management Failure after Delayed Extubation in a Patient with Oral Malignant Melanoma Who Underwent Partial Mandibulectomy and Reconstruction with a Free Flap by Min A. Kwon, Jaegyok Song, Seokkon Kim, Pyeung-wha Oh, Minji Kang

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Quantitatively Detecting Camellia Oil Products Adulterated by Rice Bran Oil and Corn Oil Using Raman Spectroscopy: A Comparative Study Between Models Utilizing Machine Learning Alg... by Henan Liu, Sijia Ma, Ni Liang, Xin Wang

“…In this study, rice bran oil and corn oil, whose Raman spectra both hold great similarities with camellia oil, are blended with camellia oil, and the concentration of each composition is predicted by models with varying feature extraction methods and regression algorithms. Back propagation neural network (BPNN), which has been rarely investigated in previous work, is used to construct regression models, the performances of which are compared with models using random forest (RF) and partial least squares regression (PLSR). …”
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