A novel pedestrian detection algorithm based on data fusion of face images by Jianhu Zheng, Jinshuan Peng

“…To address this issue, we propose a novel pedestrian detection algorithm with multisource face images, which involves a face recognition algorithm based on the conjugate orthonormalized partial least-squares regression analysis under a complex lighting environment. …”
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Fault Detection in Photovoltaic Systems Using a Machine Learning Approach by Jossias Zwirtes, Fausto Bastos Libano, Luis Alvaro de Lima Silva, and Edison Pignaton de Freitas

“…Data were gathered for systems without faults, with faults simulated by partial shading, and faults simulated by dirt accumulation. …”
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An Accelerated Fixed-Point Algorithm Applied to Quadratic Convex Separable Knapsack Problems by Atécio Alves, Jônatas O. L. Silva, Luiz C. Matioli, Paulo S. M. Santos, Sissy S. Souza

“…In this article, we propose a root-finding algorithm for solving a quadratic convex separable knapsack problem, which is more straightforward than existing methods and competitive in practice. …”
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Analysis of visitor experience in Hungarian museum context using the PLS-SEM algorithm by Jászberényi, Melinda, Ginovszky-Bodnár, Dorottya

“…This article analyses the museum visitor experience through a quantitative questionnaire carried out at the Almásy Mansion Visitor’s Centre in Gyula, Hungary, using the PLS-SEM (partial least squares structural equation modeling) algorithm. …”
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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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Cutting-Edge Phishing Detection Using Novel Features and Hybrid Machine Learning Techniques by Jin Zhang

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A Novel Fuzzy PIDF Enhancing PIDF Controller Tuned in Two Stages by TLBO and PSO Algorithms for Reliable AVR Performance by Mokhtar Shouran, Mohammed Alenezi

“…The tuning process for both stages employs the well-known Integral Time Absolute Error (ITAE) cost function in conjunction with the TLBO and PSO algorithms. The reliability of the proposed controller is rigorously tested, demonstrating its ability to deliver robust performance even when operating partially. …”
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Research on resource allocation algorithm of centralized and distributed Q-learning in machine communication by Yunhe YU, Jun SUN

“…Under the premise of ensuring partial machine type communication device (MTCD)’s quality of service (QoS) requirements, the resource allocation problem was studied with the goal of maximizing system throughput in the massive machine type communication (mMTC) scenario.Two resource allocation algorithms based on Q-learning were proposed: centralized Q-learning algorithm (team-Q) and distributed Q-learning algorithm (dis-Q).Firstly, taking into account MTCD’s geographic location and multi-level QoS requirements, a clustering algorithm based on cosine similarity (CS) was designed.In the clustering algorithm, multi-dimensional vectors that represent MTCD and data aggregator (DA) were constructed, and MTCDs can be grouped according to the CS value between multi-dimensional vectors.Then in the MTC network, the team-Q learning algorithm and dis-Q learning algorithm were used to allocate resource blocks and power for the MTCD.In terms of throughput performance, team-Q and dis-Q algorithms have an average increase of 16% and 23% compared to the dynamic resource allocation algorithm and the greedy algorithm, respectively.In terms of complexity performance, the dis-Q algorithm is only 25% of team-Q algorithm and even below, the convergence speed is increased by nearly 40%.…”
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DAG Based Multipath Routing Algorithm for Load Balancing in Machine-to-Machine Networks by Liang Liu, Tao Zhang, Jun Zhang

“…In addition, our algorithm is a polynomial time complexity algorithm with nodes and links number of the entire network.…”
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Meaning in the Algorithmic Museum: Towards a Dialectical Modelling Nexus of Virtual Curation by Huining Guan, Pengbo Chen

“…The rise of algorithm-driven virtual museums presents a philosophical challenge for how cultural meaning is constructed and critiqued in digital curation. …”
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Review of Fault Detection and Diagnosis Methods in Power Plants: Algorithms, Architectures, and Trends by Camelia Adela Maican, Cristina Floriana Pană, Daniela Maria Pătrașcu-Pană, Virginia Maria Rădulescu

“…The study systematically classifies these articles by plant type, sensor technology, algorithm category, and diagnostic pipeline (detection, localization, resolution). …”
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An Optimization Ranking Approach Based on Weighted Citation Networks and P-Rank Algorithm by Jian-feng Jiang, Shen Xu, Lan-tao You

“…To overcome this limitation, we present an optimization ranking algorithm that leverages the P-Rank algorithm and weighted citation networks to provide a more accurate article ranking. …”
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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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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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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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Algorytm — tożsamość — dylemat społeczny. Zjawisko algorytmizacji w serwisach wideo na żądanie by Dominik Kania

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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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