Re-LSTM: A long short-term memory network text similarity algorithm based on weighted word embedding by Weidong Zhao, Xiaotong Liu, Jun Jing, Rongchang Xi

“…This approach is the foundation of many applications. The word representation features and contextual relationships extracted by current text similarity computation methods are insufficient, and too many factors increase the computational complexity. …”
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Shell and tube heat exchanger optimization: A critical literature assessment and fairness-based comparative performance analysis of meta-heuristic algorithms by Samet Gürgen

“…This design problem has been addressed by many researchers with different optimization algorithms. …”
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Innovative resource-saving security strategies for IoT devices by Inna Rozlomii, Andrii Yarmilko, Serhii Naumenko

“…The primary focus is developing and analysing lightweight cryptographic algorithms capable of providing robust data protection with minimal resource usage. …”
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A Variable Selection Method Based on Fast Nondominated Sorting Genetic Algorithm for Qualitative Discrimination of Near Infrared Spectroscopy by Hubin Liu, Na Liu, Yuhui Yuan, Cihai Zhang, Longlian Zhao, Junhui Li

“…The goal of feature selection is to associate the selected variables with the property of interest, which many have done successfully. However, many of selection methods focus only on strong association with the analytes or properties of interest, neglecting correlations between variables. …”
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Overview of fuzzy vehicle routing problems by Yu. O. Chernyshev, V. N. Kubil, A. V. Trebukhin

“…Introduction. Various algorithms for solving fuzzy vehicle routing problems are considered. …”
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An efficient hybrid algorithm based on particle swarm optimisation and teaching‐learning‐based optimisation for parameter estimation of photovoltaic models by Dianlang Wang, Zhongrui Qiu, Qi Yin, Haifeng Wang, Jing Chen, Chengbi Zeng

“…Abstract In recent years, many meta‐heuristic algorithms have been investigated to estimate the parameters of photovoltaic (PV) models. …”
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Accurate 3D LiDAR SLAM System Based on Hash Multi-Scale Map and Bidirectional Matching Algorithm by Tingchen Ma, Lingxin Kong, Yongsheng Ou, Sheng Xu

“…Secondly, considering the one-to-many (1 <inline-formula><math display="inline"><semantics><mrow><mo>×</mo><mspace width="3.33333pt"></mspace><msup><mn>10</mn><mn>3</mn></msup></mrow></semantics></math></inline-formula> order of magnitude) high computational data association problem caused by maintaining multi-scale voxel landmarks simultaneously in the H-MS map, we further propose a bidirectional matching algorithm (MSBM). …”
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Improving Univariate Time Series Anomaly Detection Through Automatic Algorithm Selection and Human-in-the-Loop False-Positive Removement by Cynthia Freeman, Ian Beaver, Abdullah Mueen

“…We present a technique for improving univariate time series anomaly detection through automatic algorithm selection and human-in-the-loop false-positive removement. …”
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Advancing Real-Time Food Inspection: An Improved YOLOv10-Based Lightweight Algorithm for Detecting Tilapia Fillet Residues by Zihao Su, Shuqi Tang, Nan Zhong

“…The model demonstrates the best overall performance among many mainstream detection algorithms with a small model size (3.3 MB), a high frame rate (77FPS), and an excellent <i>mAP</i> (0.942). …”
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A Crow Search Algorithm integrated with Lévy flight and dynamic awareness probability for optimized numerical control machining parameters by Bing Tian

“…Abstract This paper proposes an efficient method for optimizing machining variables with numerical control (NC) achieved through an Enhanced Crow Search Algorithm (ECSA). In contemporary manufacturing, which relies on numerically controlled machining, the efficiency and accuracy of many processes, such as milling, drilling, and turning, heavily depend on the optimum settings for parameters. …”
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An Algorithm for Estimating the Signal Frequency at the Output of a Channel with a Controlled Information Flow under Phase Noise Conditions by Leonid Nikolaevich Kazakov, Evgenii Pavlovich Kubyshkin, Ilya Victorovich Lukyanov

“…Research in the field of efficient frequency estimation algorithms is of great interest. The reason for this is the redistribution of the role of additive and phase noise in many modern radio-engineering applications. …”
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A Rehabilitation Algorithm After Lateral Ankle Sprains in Professional Football (Soccer): An Approach Based on Clinical Practice Guidelines by Zacharias Flore, Karen Hambly, Kyra De Coninck, Götz Welsch

“…The effectiveness of this novel rehabilitation algorithm remains to be evaluated in future studies. …”
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Using Multiple Criteria Optimization and Two-Stage Genetic Algorithms to Select a Population Management Strategy with Optimized Reliability by Jessica L. Chapman, Lu Lu, Christine M. Anderson-Cook

“…An important aspect of good management of inventory for many single-use populations or stockpiles is to develop an informed consumption strategy to use a collection of single-use units, with varied reliability as a function of age, during scheduled operations. …”
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Bipartite reweight-annealing algorithm of quantum Monte Carlo to extract large-scale data of entanglement entropy and its derivative by Zhe Wang, Zhiyan Wang, Yi-Ming Ding, Bin-Bin Mao, Zheng Yan

“…Its advantages lie in the following aspects: a single simulation can obtain the continuous variation curve of EE with respect to parameters, greatly reducing the computational cost; the algorithm implementation is simplified, and there is no need to alter the spacetime manifold during the simulation, making the code easily extendable to various many-body models. …”
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Enhanced Pure Pursuit Path Tracking Algorithm for Mobile Robots Optimized by NSGA-II with High-Precision GNSS Navigation by Xiongwen Jiang, Taiga Kuroiwa, Yu Cao, Linfeng Sun, Haohao Zhang, Takahiro Kawaguchi, Seiji Hashimoto

“…The enhanced algorithm significantly reduces path deviation and improves navigation performance.…”
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Feature Selection Using a Genetic Algorithms and Fuzzy logic in Anti-Human Immunodeficiency Virus Prediction for Drug Discovery by Houda Labjar, Mohammad Al-Sarem, Mohamed Kissi

“…This paper presents an approach that uses both genetic algorithm (GA) and fuzzy inference system (FIS), for feature selection for descriptor in a quantitative structure activity relationships (QSAR) classification and prediction problem. …”
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PREDICTION OF THE POOR RATE K-MEANS AND GENERALIZED REGRESSION NEURAL NETWORK ALGORITHMS (CASE STUDY: NORTH SUMATRA PROVINCE) by Nita Suryani, Arnita Arnita, Rinjani Cyra Nabila, Amanda Fitria

“…In this study, poverty levels were mapped using the K-Means algorithm, and GRNN was then utilized for modeling and prediction. …”
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Optimized parameter estimation of lithium-ion batteries using an improved cuckoo search algorithm under variable temperature profile by Tasadeek Hassan Dar, Satyavir Singh

“…Lithium-ion batteries are an intuitive choice for electric vehicles and many other gadgets. Parameters play a critical role in addressing its performance characterization. …”
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SSM-Net: Enhancing Compressed Sensing Image Reconstruction with Mamba Architecture and Fast Iterative Shrinking Threshold Algorithm Optimization by Xianwei Gao, Bi Chen, Xiang Yao, Ye Yuan

“…Compressed sensing (CS) is a powerful technique that can reduce data size while maintaining high reconstruction quality, which makes it particularly valuable in high-dimensional image applications. However, many existing methods have difficulty balancing reconstruction accuracy, computational efficiency, and fast convergence. …”
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An Improved STC-Based Full Coverage Path Planning Algorithm for Cleaning Tasks in Large-Scale Unstructured Social Environments by Chao Wang, Wei Dong, Renjie Li, Hui Dong, Huajian Liu, Yongzhuo Gao

“…These environments are usually large in scale, chaotic in structure, and contain many obstacles. The proposed method is based on the improved SCAN-STC (Spanning Tree Coverage) method and significantly reduces the solution time by optimizing the backtracking module of the algorithm. …”
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