Research on a routing task planning algorithm for LEO remote sensing constellation by Xing QI, Zhen LIU, Jiahui LIANG, Qiming ZHAO, Chang LIU

“…In order to solve the problem of poor timeliness of data transmission in remote sensing constellation, the inter-satellite link network and a routing task planning algorithm suitable for inter-satellite network with intermittent burst characteristics was proposed.Driven by the results of remote sensing satellite imaging task planning, combined with the time-varying characteristics of satellite network topology, the algorithm improved the topology division method based on snapshot sequence to reduce the frequency of route switching and the cost of link switching.The routing between satellite and ground station was regarded as a part of the routing of LEO remote sensing constellation.While selecting the shortest routing path between satellite and the ground, the duration of satellite-ground link was maximized.The simulation results show that the algorithm can significantly improve the data transmission capability of the low-orbit remote sensing satellite constellation.…”
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The European regulation on AI in the face of the biases and risks of algorithmic discrimination in migration contexts by Encarnación La Spina

“…The increasing institutionalisation of artificial intelligence (AI) is a social problem of particular concern for the most vulnerable groups, such as migrants and asylum seekers. While global migration contexts face tight security control and an extensive digital transition, the European regulation on AI is still too limited in scope to counteract the negative impacts of the design and training of algorithms. …”
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Determining Factors Affecting Cooperative Membership of the Beekeepers Using Decision Tree Algorithms by Tayfun Çukur, Figen Çukur

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Minimum number oriented relay node deployment algorithm in two-tiered WSN by Chun-yu MIAO, Li-na CHEN, Guo-yong DAI, Fan YANG, Qing-zhang CHEN

“…Aiming at minimizing the number of relay nodes distributed in the sensing area while keeping the feasible communication with at least one relay node for every sensor node, two algorithms (i.e. the integral linear programming optimal algorithm and the heuristic algorithm) were proposed. …”
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Algorithm for Cloud Particle Phase Identification Based on Bayesian Random Forest Method by Fu Tao, Yang Zhipeng, Tao Fa, Hu Shuzhen, Lu Yuxiang, Fu Changqing

“…By analyzing the feature importance of the model, it is found that the temperature feature carries the greatest weight in phase state recognition, followed by radial velocity, while the depolarization ratio contributes the least. …”
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Performance of machine learning algorithms to evaluate the physico-mechanical properties of nanoparticle panels by Derrick Mirindi, James Hunter, David Sinkhonde, Tajebe Bezabih, Frederic Mirindi

“…This review analyzes secondary data on nanoparticle integration in board production, aiming to evaluate the relationships among physical (water absorption (WA) and thickness swelling (TS)) and mechanical (modulus of rupture (MOR), modulus of elasticity (MOE); and internal bond (IB) strength) properties and to predict performance using machine learning (ML) algorithms. These algorithms include Pearson correlation, hierarchical clustering, and decision tree (DT) models. …”
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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

“…The dust radiative forcing at the top of the atmosphere (TOA) simulated by the Interpolated algorithm is negative in the Sahara region, while the Resolved algorithm simulates positive forcing at TOA and can exceed 10 W m<span class="inline-formula">⁻²</span> in the Sahara, which is more consistent with previous studies. …”
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An Equivalence Theorem and A Sequential Algorithm for A-Optimal Experimental Designs on Manifolds by Jingwen Zhang, Yaping Wang

“…Based on this result, a sequential algorithm for identifying A-optimal designs on manifold data is developed. …”
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Design and Implementation of Hybrid CORDIC Algorithm Based on Phase Rotation Estimation for NCO by Chaozhu Zhang, Jinan Han, Ke Li

“…Finally, simulation results indicate that the improvement over traditional CORDIC algorithm is achieved in terms of ease of computation, resource utilization, and computing speed/delay while maintaining the precision. …”
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An image processing technique for optimizing industrial defect detection using dehazing algorithms. by Xuanyi Zhao, Xiaohan Dou, Gengpei Zhang

“…In recent years, the demand for efficient and accurate defect detection algorithms in industrial production has been increasing. …”
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A Hybrid Algorithm for the Permutation Flowshop Scheduling Problem without Intermediate Buffers by Xiaobo Liu, Kun Li, Huizhi Ren

“…In the hybrid algorithm, the solutions with good quality and diversity are maintained by a reference set of scatter search, and the search at each generation starts from a solution generated from the reference set so as to improve the search diversity while guaranteeing the quality of the initial solution. …”
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Quantum online algorithms for a model of the request-answer game with a buffer by K.R. Khadiev, D.I. Lin

“…The adversary loads data to the buffer, while the algorithm has random access to elements of the buffer. …”
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Comparative Analysis of Linear Regression and Neural Network Algorithms for Stock Price Prediction by Eldrianto Christian Wibowo, Ariya Dwika Cahyono

“…This study compares the performance of Linear Regression and Neural Network algorithms in predicting stock prices using historical data from PT Bank Central Asia Tbk (BBCA) for the period from January 1, 2019, to February 17, 2025. …”
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Energy-saving algorithm considering idle light-path prediction in SDM-EON by Yu XIONG, Jinyou HE, Baohua WANG, Bin ZHOU

“…To effectively reduce the energy consumption,blocking rate and crosstalk between adjacent cores in a multi-core fiber for space division multiplexing elastic optical network (SDM-EON),an energy-saving algorithm considering idle light-path prediction was proposed.The extreme learning machine model was used to predict the traffic volume of each light-path in the network.Thus the idle light-path set and the maintenance time threshold of each idle light-path were obtained.Then,the actual maintenance time of the idle light-path was perceived by the prediction algorithm.Finally,in the light-paths where the actual maintenance time do not exceed the minimum maintenance time threshold and the inter-core crosstalk are lower than the crosstalk threshold,the idle light-path with the least loading energy consumption was selected to carry the new traffic.The simulation results show that compared with the traditional energy-saving algorithm,when the SDM-EON crosstalk limitation is satisfied,the proposed algorithm can lead better energy-saving while maintain the blocking rate at levels compatible.…”
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VIO/GPS Fusion Positioning Algorithm of Substation Inspection Robot Based on EKF by ZHANG Guifeng, ZHANG Zhongxuan, ZHOU Chaorong, YU Zhilong

“…The algorithm propagates the filter state through visual-inertial estimation and updates it using GPS measurements, effectively eliminating cumulative drift in position and heading, while requiring minimal computational resources. …”
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A fast video coding algorithm using data mining for video surveillance by Bingyue Xie

“…To address this challenge, we propose a novel fast coding algorithm optimized for video surveillance applications. …”
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Intelligent Detection Algorithm for Concrete Bridge Defects Based on SATH–YOLO Model by Lanlin Zou, Ao Liu

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Non‐Autoregressive Translation Algorithm Based on LLM Knowledge Distillation in English Corpus by Fang Ju, Weihui Wang

“…In the experimental phase, we utilized several standard English corpora to train and assess our algorithm. The findings indicate that, compared to current machine translation systems, our method significantly reduces the need for computational resources while preserving translation quality.…”
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Enhancing Diversity and Convergence in MMOPs with a Gaussian Similarity-Based Evolutionary Algorithm by Shizhao Wei, Da-Jung Cho

“…We introduce a mechanism that balances diversity in both the decision and objective spaces, aiming to enhance diversity while maintaining convergence in both spaces. We propose a multi-modal multi-objective evolutionary algorithm (MMEA) that selects qualified solutions based on Gaussian similarity. …”
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Classification algorithm for imbalance data of ECG based on PSOFS and TSK fuzzy system by Xinhui LI, Qing SHEN, Xiongtao ZHANG

“…., parallel ensemble fuzzy neural network based on PSOFS and TSK (PE-PT-FN), which was used for ECG prediction.Each class sample in the training set was randomly sampled, and the samples obtained by randomly sampled were added.Then, the feature selection method PSOFS was carried out independently and parallelly.In PSOFS, particles that were random initial positions represent different feature subsets and converge to the optimal positions after many iterations.Each subset had a corresponding feature subset.Several groups of TSK fuzzy neural network (TSK-FNN) were trained by each feature subset in parallel.Medical researchers could effectively find the correlation between ECG signal data and different types of disease through the interpretability of the fuzzy system and the feature subsets by the PSOFS algorithm.Experiments prove that PE-PT-FN greatly improves the macro-R to 92.35% while retaining interpretability.…”
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