Isolated Handwritten Pashto Character Recognition Using a K-NN Classification Tool based on Zoning and HOG Feature Extraction Techniques by Juanjuan Huang, Ihtisham Ul Haq, Chaolan Dai, Sulaiman Khan, Shah Nazir, Muhammad Imtiaz

“…K-nearest neighbors is considered as a classification tool for the proposed algorithm based on the proposed feature sets. A resultant accuracy of 80.34% is calculated for the histogram of oriented gradients, while for zoning-based density features, 76.42% is achieved using 10-fold cross validation.…”
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Maintaining the coverage of a satellite multibeam hybrid reflector antenna by monitoring the current reflector state using signals of on-ground beacon by A. V. Dardymov, Yu. I. Choni, A. G. Romanov, I. Yu. Danilov

“…Yet because solar heat flux falls onto reflector at different angles while satellite moves, the profile of the reflector undergoes cyclic distortions affecting both the position and gain of the beams. …”
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HairSplitter: haplotype assembly from long, noisy reads by Faure, Roland, Lavenier, Dominique, Flot, Jean-François

“…On noisy long reads, HairSplitter recovers more strains while being faster than state-of-the-art tools, both in the cases of viruses and bacteria. …”
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NCG-TSM: A Noncooperative Game for the Taxi Sharing Model in Urban Road Networks by Liping Yan, Chan Peng, Yue Tang, Wenbo Zhang, Jing Wang, Yu Cai

“…Taxi sharing is a promising method to save resource consumption and alleviate traffic congestion while satisfying people’s commuting needs. Existing research methods include taxi dispatching methods based on intelligent algorithms, single vehicle route recommendation algorithms, and route recommendation algorithms based on vehicle traffic history. …”
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Using Artificial Neural Networks to Evaluate the Capacity and Cost of Multi-Fiber Optical Backbone Networks by Alexandre Freitas, João Pires

“…Furthermore, a fiber assignment algorithm is also proposed to complement the network design, enabling the generation of datasets for training and testing of the developed ANN model. …”
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Supervised Blockchain Anonymous Transaction Model Based on Certificateless Signcryption by Wenbao Jiang, Jin Ding, Haibao Zhang

“…It employs the Paillier homomorphic encryption algorithm to update transaction amounts and uses the FO commitment-based zero-knowledge proof scheme to validate transaction legality. …”
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Automation of reversible steganographic coding with nonlinear discrete optimisation by Ching-Chun Chang

“…Experimental results validate the near-optimality of the proposed optimisation algorithm when benchmarked against a brute-force method.…”
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Electric Vehicle Cluster and Scheduling Strategy Based on Dynamic Game by LI Shuai, DING Xiying, JIANG Hongfa

“…Simulation results of the dispatching strategy show that the peak-to-valley ratio decreased by 13.22%,which indicates that the EVA can effectively reduce its own operating costs while meeting the peak shaving requirements of the power grid, and vehicle owners can obtain benefits from participating in the peak shaving process.…”
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Flood change detection model based on an improved U-net network and multi-head attention mechanism by Fajing Wang, Xu Feng

“…Additionally, the developed model achieves an accuracy of 90.11% while maintaining a loss value of approximately 0.59, whereas other model algorithms exceed a loss value of 0.74. …”
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A neural network model enables worm tracking in challenging conditions and increases signal-to-noise ratio in phenotypic screens. by Weheliye H Weheliye, Javier Rodriguez, Luigi Feriani, Avelino Javer, Virginie Uhlmann, André E X Brown

“…High-resolution posture tracking of C. elegans has applications in genetics, neuroscience, and drug screening. While classic methods can reliably track isolated worms on uniform backgrounds, they fail when worms overlap, coil, or move in complex environments. …”
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3M: A Multi-Scale and Multi-Directional Method for Multi-Focus Image Fusion by Bingzhe Wei, Xiangchu Feng, Weiwei Wang

“…Therefore, we propose a novel multi-focus image fusion algorithm based on multi-scale and multi-directional dictionaries. …”
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Design of an intelligent optimization system for high-altitude photovoltaic power plant output power prediction and enhancement using GVSAO-CNN-BiGRU-Attention by Shuai Yuan, Hui Zhou, Kai Zhao

“…The system integrates convolutional neural networks (CNN), bi-directional gated recurrent units (BiGRU), attention mechanisms, and genetic algorithm optimization (GVSAO). The CNN extracts spatial features, while the BiGRU enhances temporal dependency modeling, effectively capturing short- and long-term patterns. …”
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Improving classifier decision boundaries and interpretability using nearest neighbors by Johannes Schneider, Arianna Casanova

“…Unlike prior methods, our approach achieves improvements without introducing trade-offs or necessitating architectural adaptations, while providing actionable insights and theoretical analysis to support its efficacy.…”
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SC-PREC4SA: A serially complete daily precipitation dataset for South America by Adrian Huerta, Roberto Serrano-Notivoli, Stefan Brönnimann

“…These metrics highlight the reliability of the gap-filling process, particularly in mixed climates, where station networks are sparse. The homogenization algorithm, focused primarily on wet days, effectively reduced inhomogeneities while preserving precipitation variability across South America. …”
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Adaptive Periodic Speed Fluctuation Suppression for Permanent Magnet Compressor Drives by Chenchen Zhang, Yang Yang, Yimin Gong, Yibo Guo, Hongda Song, Jiannan Zhang

“…Therefore, an adaptive periodic speed fluctuation suppression method (APSFSM) based on the recursive Gauss–Newton (RGN) algorithm is proposed in this paper. The APSFSM consists of two parts: a traditional proportional-integral (PI) speed regulator is used to handle low-frequency disturbances, while the RGN part is responsible for suppressing disturbances at specific frequencies. …”
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Low-Redshift Observational Constraints on Dark Energy Cosmologies by Mohammad Malekjani

“…Applying the Markov chain Monte Carlo algorithm and using low-redshift observational data, we put cosmological constraints on dark energy cosmologies. …”
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Advanced Investigation into Active Control Force Requirements for Seismic Damage Mitigation of Inelastic Structures by Ruben Iacob Munteanu, Vasile Calofir, Karol-Cristian Lemnaru, Cătălin Ponta

“…This study investigates the effectiveness of active structural control in mitigating seismic damage of inelastic structures. A fuzzy control algorithm is integrated into a custom-developed finite element routine to examine the relationship between maximum control force requirements and the resulting structural damage state. …”
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Distributed Asymptotic Tracking for Higher-Order Multi-Agent Systems With Unknown Control Directions Under Directed Graphs by Zhihua Zhang, Chaoli Wang, Xuan Cai

“…A novel adaptive control algorithm is developed using Nussbaum-type functions, nonlinear transformations, and compensating functions to ensure the asymptotic convergence of all agents to the leader while maintaining the boundedness of all closed-loop signals. …”
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Self-Supervised Sensor Learning and Its Application: Building 3D Semantic Maps Using Terrain Classification by Chuho Yi, Donghui Song, Jungwon Cho

“…Then the robot can recognize the current environment and simultaneously build a 3D map using the RGB-D iterative closest point algorithm with a RGB-D sensor (Kinect). To complete the 3D semantic map, it adds semantic terrain information to the map.…”
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Noise-Aware UAV Path Planning in Urban Environment with Reinforcement Learning by Shahin Sarhan, Marco Rinaldi, Stefano Primatesta, Giorgio Guglieri

“…A dynamic noise source model adjusts noise emissions based on the UAV velocity, while acoustic ray tracing simulates noise propagation in the environment. …”
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