Optimizing the Location of Virtual Stations in Free-Floating Bike-Sharing Systems with the User Demand during Morning and Evening Rush Hours by Zhuo Sun, Yiming Li, Yi Zuo

“…As an alternative solution, this article proposes a clustering algorithm, which can solve this problem in real time. …”
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Issues occult hepatitis B virus infection by I. A. Morozov, L. Yu. Ilchenko, N. I. Gromova, I. G. Fyedorov, I. V. Gordeychuk, A. K. Knyazhentseva, E. V. Zverkova, M. I. Mikhaylov

“…Molecular biologic enzymelinked immunoassay (ELISA), polymerase chain reaction (PCR) and morphological (immunohistochemistry, electron microscopy) methods were utilized for diagnostics.Results. Novel two-stage algorithm of diagnostics of CHB occult form was developed. …”
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Automotive Electric Power Steering Control With Robust Observer Based Neuroadaptive Type-2 Radial Basis Function Methodology by Abdollah Amirkhani, Masoud Shirzadeh, Jamshid Heydari

“…The parameters of the robust observer-based neuroadaptive ST2-RBF network are optimally determined by applying the Coronavirus disease optimization algorithm (COVIDOA), which mimics the replication mechanism of Coronaviruses taking over the human cells. …”
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Analysis and Prognosis of Failures in Intelligent Hybrid Systems Using Bioengineering: Gear Coupling by Roberto Outa, Fabio Roberto Chavarette, Vishnu Narayan Mishra, Aparecido Carlos Gonçalves, Adriana Garcia, Sandro da Silva Pinto, Laxmi Rathour, Lakshmi Narayan Mishra

“…The final result successfully demonstrates the effectiveness of the development process of this work and the robustness of the negative selection AIS algorithm. …”
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Study of Keyword Extraction Techniques for Electric Double-Layer Capacitor Domain Using Text Similarity Indexes: An Experimental Analysis by M. Saef Ullah Miah, Junaida Sulaiman, Talha Bin Sarwar, Kamal Z. Zamli, Rajan Jose

“…From the supervised algorithms, KEA and WINGNUS are employed for keyword extraction. …”
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Mutations in Mycobacterium tuberculosis Isolates with Discordant Results for Drug-Susceptibility Testing in Peru by L. Solari, D. Santos-Lazaro, Z. M. Puyen

“…Obtained sequences were aligned “through reference” (genomic mapping) using the program BWA with the algorithm “mem”, using as a reference the genome of the M. tuberculosis H37Rv strain. …”
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Lossy Joint Source-Channel Coding Using Raptor Codes by O. Y. Bursalioglu, M. Fresia, G. Caire, H. V. Poor

“…The use of systematic raptor encoders is proposed, in order to obtain a continuum of coding rates with a single basic encoding algorithm. Simulations show that the proposed scheme can outperform the separated baseline scheme for finite coding length and comparable complexity and, as expected, it is much more robust to channel errors in the case of channel capacity mismatch.…”
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Vehicle Detection and Tracking Based on Improved YOLOv8 by Yunxiang Liu, Shujun Shen

“…In terms of tracking, MOTA, IDF1 and MOTP of the BoTSORT algorithm on the test video were superior to those of DeepSORT and ByteTrack. …”
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Moor: Model-based offline policy optimization with a risk dynamics model by Xiaolong Su, Peng Li, Shaofei Chen

“…Finally, we use a risk-averse algorithm to learn the policy on the combined dataset of offline and generated data. …”
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Automatic Segmentation and Enhancement of Pavement Cracks Based on 3D Pavement Images by Baoxian Li, Kelvin C. P. Wang, Allen Zhang, Yue Fei

“…With pavement surface data, pavement cracks can be detected using crack detection algorithms. In this paper, a fully automated algorithm for segmenting and enhancing pavement crack is proposed, which consists of four major procedures. …”
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Water Supply Scheduling for Cross-basin Reservoir Groups Based on Improved Scheduling Diagram by ZHAO Siqi, XU Wei, CHEN Si, WANG Sufan, YANG Yi

“…To exploit the scheduling potential of cross-basin reservoir groups by employing runoff information,this paper proposes an improved reservoir scheduling diagram to retain simplicity and intuitiveness.Taking the Xiajiankou,Fengyan,and Nanpeng reservoirs in Banan District of Chongqing as an example,it adopts the POA algorithm to build a joint scheduling model of water diversion and water supply for the cross-basin reservoir groups by a simulation-optimization approach.Meanwhile,three scenarios of the current situation scheduling,optimized scheduling with conventional scheduling diagrams,and optimized scheduling with improved scheduling diagrams are set up to evaluate the water diversion and supply performance of reservoirs and analyze the influence of uncertainty runoff information on the scheduling performance.The results are as follows:① The improved scheduling diagram performs best in the long series scheduling,and it can increase the annual average water supply of the reservoir group by 6.87% and reduce the abandoned water by 87.58% compared with the current situation scheduling;② In a dry year,the method can reduce 486.3×10⁴ m³ of water shortage and increase 477.6×10⁴ m³ of water for power generation based on the current situation scheduling;③ When considering the runoff information uncertainty,the water supply of the improved scheduling diagram is 3.37% lower than the ideal case but is still 5.96% more than the conventional optimization.The results are conducive to making scientific decisions and improving the water supply effect.…”
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DBnet: A Lightweight Dual-Backbone Target Detection Model Based on Side-Scan Sonar Images by Quanhong Ma, Shaohua Jin, Gang Bian, Yang Cui, Guoqing Liu

“…To solve the problem of unbalanced aspect ratios in sonar data waterfall maps, DBnet employs the SAHI algorithm with sliding-window slicing inference to improve small-target detection accuracy. …”
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Multivehicle Cooperative Lane Change Control Strategy for Intelligent Connected Vehicle by Jie Ni, Jingwen Han, Fei Dong

“…The rolling optimization time domain algorithm is used to solve the optimization control problem step by step. …”
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Evaluation of Algebraic Iterative Image Reconstruction Methods for Tetrahedron Beam Computed Tomography Systems by Joshua Kim, Huaiqun Guan, David Gersten, Tiezhi Zhang

“…While the TBCT system was designed to overcome the scatter and detector issues faced by cone beam computed tomography (CBCT), it still suffers the same large cone angle artifacts as CBCT due to the use of approximate reconstruction algorithms. It has been shown that iterative reconstruction algorithms are better able to model irregular system geometries and that algebraic iterative algorithms in particular have been able to reduce cone artifacts appearing at large cone angles. …”
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Determining Parameters of Metal-Halide Perovskites Using Photoluminescence with Bayesian Inference by Manuel Kober-Czerny, Akash Dasgupta, Seongrok Seo, Florine M. Rombach, David P. McMeekin, Heon Jin, Henry J. Snaith

“…In this work, we demonstrate that time-resolved photoluminescence data of metal halide perovskites can be effectively evaluated by combining Bayesian inference with a Markov-chain Monte-Carlo algorithm and a physical model. This approach enables us to infer a high number of parameters that govern the performance of metal halide perovskite-based devices, alongside the probability distributions of those parameters, as well as correlations among all parameters. …”
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Prediction of Quality Food Sale in Mart Using the AI-Based TOR Method by Daniyal Irfan, Xuan Tang, Vipul Narayan, Pawan Kumar Mall, Swapnita Srivastava, V. Saravanan

“…The accuracy-based artificial intelligence and genetic algorithm-based prediction are becoming more important in business intelligence, with the crossover revealing the highest percentage of interest-based profit in the food industry. …”
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Linguistic Analysis of Hindi-English Mixed Tweets for Depression Detection by Carmel Mary Belinda M J, Ravikumar S, Muhammad Arif, Dhilip Kumar V, Antony Kumar K, Arulkumaran G

“…In this proposed approach, data has been collected from Twitter and screened via passing them through a classifier built using the multinomial Naive Bayes algorithm and grid search, the latter being used for hyperparameter optimization. …”
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Single- versus Multiobjective Optimization for Evolution of Neural Controllers in Ms. Pac-Man by Tse Guan Tan, Jason Teo, Kim On Chin

“…Pac-Man scores (screen-capture mode) and minimizing neural network complexity. This proposed algorithm is called Pareto Archived Evolution Strategy Neural Network or PAESNet. …”
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Damped weighted erasable itemset mining with time sensitive dynamic environments by Hanju Kim, Myungha Cho, Seungwan Park, Doyoung Kim, Doyoon Kim, Unil Yun

“…Furthermore, extended evaluations on sensitivity and resultant itemsets show how the algorithm responds to varying parameters as well as provide insights on the discovered itemsets.…”
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An Active Learning Approach with Uncertainty, Representativeness, and Diversity by Tianxu He, Shukui Zhang, Jie Xin, Pengpeng Zhao, Jian Wu, Xuefeng Xian, Chunhua Li, Zhiming Cui

“…Then, use the kernel k-means clustering algorithm to filter the redundant samples and the resulting samples are queried for labels. …”
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