A Comprehensive Review of Unobtrusive Biosensing in Intelligent Vehicles: Sensors, Algorithms, and Integration Challenges by Shiva Maleki Varnosfaderani, Mohd. Rizwan Shaikh, Mohamad Forouzanfar

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Game simulators as educational tools for developing algorithmic thinking skills in computer science education by Maksym S. Kovtaniuk, Svitlana V. Shokaliuk, Alexander N. Stepanyuk

“… This paper presents an analysis of game simulators as educational tools for developing algorithmic thinking skills in computer science education. …”
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Feeder Reconfiguration of Distribution Systems for Loss Reduction and Emissions Reduction Using MVO Algorithm by A. V. Reddy, M. Damodar Reddy, Y. V. Reddy

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Amoeba Based Novel Post-Processing Algorithm for Industrial Computed Tomography Scans Enhancement by Umar Talha, Waleed Bin Yousuf, Tariq Mairaj

“…A novel amoeba-based algorithm is proposed for ICT images enhancement from sparsely acquired projections. …”
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Multisource Heterogeneous Data Fusion Methods Driven by Digital Twin on Basis of Prophet Algorithm by Min Li

“…The experimental results showed that after fusing the data using the Prophet algorithm, the average accuracy can reach 92.63%, while the average resource utilization at this time was only 9.97%. …”
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Metrics and Algorithms for Identifying and Mitigating Bias in AI Design: A Counterfactual Fairness Approach by Dongsoo Moon, Seongjin Ahn

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An Improved Algorithm to Extract Moiré Fringe Phase for Wafer-Mask Alignment in Nanoimprint Lithography by Feifan Xu, Yinye Ding, Wenhao Chen, Haojie Xia

“…The algorithm combines the strengths of the two-dimensional fast Fourier transform (2D-FFT) and two-dimensional window Fourier filtering (2D-WFF) to quickly and accurately extract the fundamental frequencies of interest, eliminate noise in the fundamental frequency band by using the threshold of the local spectrum, and effectively suppress spectral leakage by using a Gaussian window with outstanding sidelobe characteristics while overcoming their limitations, such as avoiding the time-consuming parameter adjustment. …”
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Intelligent extraction of urban ventilation corridors based on region growth algorithm with restricted direction by Chenlu Zhao

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An improved artificial potential field with RRT star algorithm for autonomous vehicle path planning by Tian Guan, Yi Han, Michuang Kong, Siyu Wang, Deyuan Feng, Wei Yang

“…Third, a dual-tree growth strategy is adopted with an improved tree connection mechanism to accelerate algorithm convergence. Fourth, the path is pruned according to the triangle inequality to shorten path length, while B-spline curves combined with linear interpolation are used to smooth the pruned path, improving path quality. …”
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Deep learning based image reconstruction algorithm for limited-angle translational computed tomography. by Jiaxi Wang, Jun Liang, Jingye Cheng, Yumeng Guo, Li Zeng

“…Compared with some state-of-the-art methods, the developed algorithm can effectively suppress the noise and the limited-angle artifacts while preserving the image structures.…”
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Sentiment Analysis of X Users Toward Electric Motorcycles Using SVM and BERT Algorithms by Calvin Adiwinata, Afiyati Afiyati

“…The objective was to evaluate algorithm performance in classifying public sentiment, with metrics including accuracy, precision, recall, and computational efficiency. …”
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A lightweight UAV target detection algorithm based on improved YOLOv8s model by Fubao Ma, Ran Zhang, Bowen Zhu, Xirui Yang

“…To tackle these challenges, this paper proposes LW-YOLOv8, a lightweight object detection algorithm based on the YOLOv8s model for UAV deployment. …”
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A lightweight algorithm for steel surface defect detection using improved YOLOv8 by Shuangbao Ma, Xin Zhao, Li Wan, Yapeng Zhang, Hongliang Gao

“…Abstract In response to the issues of low precision, a large number of parameters and high model complexity in steel surface defect detection, a lightweight algorithm using improved YOLOv8 is proposed. Firstly, GhostNet is utilized as the backbone network in order to reduce the number of model parameters and computational complexity. …”
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Mitigating Sinkhole Attacks in MANET Routing Protocols using Federated Learning HDBNCNN Algorithm by Sherril Sophie Maria Vincent

“… In network topology, the sinkhole attacks ensue while a malicious node deceives it’s adjust mode in the routing traffic and it results a predominant interruptions like amplified latency, depletion of energy with conceded data reliability. …”
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Optimizing Electric Vehicle Routing Efficiency Using K-Means Clustering and Genetic Algorithms by Tal Gaon, Yovel Gabay, Miri Weiss Cohen

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A Hybrid Seed Node Selection and No-Retracing Random Walk in Page Rank Algorithm by Azam Bastanfard, Ali Kheradbeygi Moghadam, Ali Fallahi RahmatAbadi

“…However, reducing the input data size is still a considerable topic to increase the efficiency and speed of this algorithm. The two approaches discussed in this paper, the no-retracing and the seed node selection algorithms, inspired the development of random walk technique. …”
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Optimizing Renewable Energy Systems Placement Through Advanced Deep Learning and Evolutionary Algorithms by Konstantinos Stergiou, Theodoros Karakasidis

“…SHAP analysis enhances transparency by identifying key meteorological influences, such as temperature and humidity, while NLE translates these insights into actionable recommendations in natural language, improving accessibility for energy planners and policymakers. …”
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A new human-based offensive defensive optimization algorithm for solving optimization problems by Ning Fang, Cheng Xu, Xuxiong Gong, Zhouhua Wu

“…The results further indicate that the proposed algorithm exhibits satisfactory convergence efficiency, along with robust exploration and exploitation capabilities, while maintaining a balanced equilibrium between these two processes. …”
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Inventory control strategy based on neural network and fuzzy algorithm in intelligent warehousing system by Chunmei Xie, Cong Xie

“…Ablation analysis reveals that after removing the RBFNN module, the comprehensive average turnover rate decreases to 15.65, while the comprehensive average out-of-stock rate increases to 6.93%. …”
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Password strength verification based on machine learning algorithms and LSTM recurrent neural networks by V. V. Belikov, I. A. Prokuronov

“…The proposed supervised machine learning algorithms comprise support vector machines, random forest, boosting, and long short-term memory (LSTM) recurrent neural network types. …”
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