Enhancing the Hybrid Microgrid Performance with Jellyfish Optimization for Efficient MPPT and THD Estimation by the Unscented Kalman Filter by Nivedita Singh, M. A. Ansari, Manoj Tripathy, Pratiksha Gupta, Ikbal Ali, Adel Saleh Rawea

“…The contribution of the jellyfish optimization (JF) algorithm lies in its ability to efficiently and effectively maximize power generation from the PV system, regardless of normal or partial shading conditions. …”
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Personal air cleaning by a user-tracking robot equipped with a nanofiber air cleaner in a large work space by Chengzhong Deng, Zhuolun Niu, Chun Chen

“…The results show that the user-tracking algorithm of the user-tracking robot was accurate, with an average absolute error in the user-to-robot distance of 4 cm. …”
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Application of GA-BP Neural Network Optimized by Grey Verhulst Model around Settlement Prediction of Foundation Pit by C. Y. Liu, Y. Wang, X. M. Hu, Y. L. Han, X. P. Zhang, L. Z. Du

“…Due to the limitation in the prediction of the foundation pit settlement, this paper proposed a new methodology which takes advantage of the grey Verhulst model and a genetic algorithm. In the previous study, excavation times are often the only factor to predict the settlement, which is mainly because the correspondence between real-time excavation depth and the excavation time is hard to determine. …”
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Assessing machine learning for fair prediction of ADHD in school pupils using a retrospective cohort study of linked education and healthcare data by Johnny Downs, Robert Stewart, Alice Wickersham, Sumithra Velupillai, Lucile Ter-Minassian, Natalia Viani, Lauren Cross

“…Sociodemographic biases were effectively reduced by a fair pre-processing algorithm without loss of accuracy.Conclusions ML approaches using linked routinely collected education and health data offer accurate, low-cost and scalable prediction models of ADHD. …”
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An Advanced Otsu Method Integrated with Edge Detection and Decision Tree for Crack Detection in Highway Transportation Infrastructure by Haihang Han, Hanyu Deng, Qiao Dong, Xingyu Gu, Tianjie Zhang, Yangyang Wang

“…The Canny edge detection has demonstrated outstanding performance in crack detection; this algorithm helps to obtain more details of both cracks and noises. …”
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Circle chaotic map tuna swarm optimization (CCMTSO) based feature selection and deep learning approach for air quality prediction by Aradhyamatada Swamy, Rohitha U.M.

“…Utilizing LSTM and FCNN, this algorithm can extract the temporal and spatial components of the information with good precision and reliability.…”
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Continuous and Discrete Similarity Coefficient for Identifying Essential Proteins Using Gene Expression Data by Jiancheng Zhong, Zuohang Qu, Ying Zhong, Chao Tang, Yi Pan

“…Using the graph theory as the basis, we fused the newly proposed similarity coefficient with the existing network topology prediction algorithm at each protein node to recognize essential proteins. …”
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SPARQ: Efficient Entanglement Distribution and Routing in Space–Air–Ground Quantum Networks by Mohamed Shaban, Muhammad Ismail, Walid Saad

“…Existing quantum routing algorithms focus on stationary ground nodes and utilize link distance as an optimality metric, which is unrealistic for dynamic systems, like SPARQ. …”
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Processing of retransmitted GPS signals in the problem of measuring the total electron content in the ionosphere by Y. A. Kapliarchuk, S. V. Kozlov, I. E. Savinykh, A. S. Shapkin

“…The algorithm can be used for estimating TEC based on the retransmission of signals from GPS.…”
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Primary central nervous system lymphoma: Comprehension of cell-of-origin subtypes by Shruti Rao, Sridhar Epari, Tanuja M. Shet, Sumeet Gujral, Hasmukh Jain, Bhausaheb Bagal, Manju Senagar, Prakash Shetty, Aliasgar Moiyadi, Jayant Sastri Goda, Tejpal Gupta

“…Objectives: To classify PCNS-DLBCL into COO-subtypes based on immunohistochemical algorithms by Hans and Choi and evaluate concordance between the two. …”
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Statistical Analysis of Public Sentiment on the Ghanaian Government: A Machine Learning Approach by John Andoh, Louis Asiedu, Anani Lotsi, Charlotte Chapman-Wardy

“…The data was preprocessed, manually labeled by the researcher, and then trained using the aforementioned algorithms. These algorithms are three of the most popular learning algorithms which have had lots of success in diverse fields. …”
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Single-cell landscape of dynamic changes in CD8+ T cells, CD4+ T cells and exhausted T cells in hepatocellular carcinoma by Rongqiang Liu, Jing Ye, Jianguo Wang, Wangbin Ma, Zhendong Qiu, Jia Yu, Weixing Wang

“…Altered signaling pathway activity in exhausted T cells was uncovered by the AUCell algorithm. xCELL, TIMER, QUANTISEQ, CIBERSORT and CIBERSORT-abs were performed to explore immune cell infiltration. …”
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A Reduced-Order Controller Considering High-Order Modal Information of High-Rise Buildings for AMD Control System with Time-Delay by Zuo-Hua Li, Chao-Jun Chen, Jun Teng, Wei-Hua Hu, Hou-Bing Xing, Ying Wang

“…Both numerical and experimental results demonstrate that the reduced-order controller with GCC algorithm has an excellent control effect; meanwhile it can compensate time-delays effectively.…”
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An Imaging Method for Marine Targets in Corner Reflector Jamming Scenario Based on Time–Frequency Analysis and Modified Clean Technique by Changhong Chen, Wenkang Liu, Yuexin Gao, Lei Cui, Quan Chen, Jixiang Fu, Mengdao Xing

“…Finally, simulation experiments verify the effectiveness of the algorithm.…”
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Multiobjective Optimization of Surface Roughness and Tool Wear in High-Speed Milling of AA6061 by Machine Learning and NSGA-II by Anh-Tu Nguyen, Van-Hai Nguyen, Tien-Thinh Le, Nhu-Tung Nguyen

“…We applied a two-pronged approach that combines machine learning (ML) and a Nondominated Sorting Genetic Algorithm (NSGA-II) to model and optimize Ra and Vbmax. …”
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Environmental Covariates for Sampling Optimization and Pest Prediction in Soybean Crops by Cenneya Lopes Martins, Maiara Pusch, Wesley Augusto Conde Godoy, Lucas Rios do Amaral

“…In the 2022–2023 crop season, sample designs were optimized using the iterative algorithm optimization of sample configurations using spatial simulated annealing (SPSANN) using the selected covariates, resulting in two optimized designs that were compared to a regular grid. …”
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Soil-Rock Slope Stability Analysis under Top Loading considering the Nonuniformity of Rocks by Huang Xian-Wen, Zhi-Shu Yao, Wang Bing-Hui, Zhou Ai-Zhao, Peng-Ming Jiang

“…To obtain better estimation results, a new rock contour establishing algorithm was developed, capable of considering interlock effect between rocks. …”
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Canadian Public Health Laboratory Network laboratory Guidelines for the Use of Serological Tests (excluding point-of-care tests) for the Diagnosis of Syphilis in Canada by Paul N Levett, Kevin Fonseca, Raymond SW Tsang, Kamran Kadkhoda, Bouchra Serhir, Sandra M Radons, Muhammad Morshed

“…Both traditional and reverse sequence algorithms are recommended and the algorithm used should be based on a combination of local disease epidemiology, test volumes, performance of the proposed assays and available resources.…”
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Analysis of reservoir rock permeability changes due to solid precipitation during waterflooding using artificial neural network by Azizollah Khormali, Soroush Ahmadi, Aleksandr Nikolaevich Aleksandrov

“…The ANN model using the Levenberg-Marquardt (LM) algorithm showed superior performance with the lowest mean squared error (MSE) for training, testing, and all data sets. …”
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A Novel Vibration Suppression Method for Welding Robots Based on Welding Pool Instability Evaluation and Trajectory Optimization by Mingtian Ma, Hong Lu, Yongquan Zhang, Zidong Wu, He Huang, Xujie Yuan, Xu Feng, Zhi Liu, Zhangjie Li

“…The proposed vibration suppression algorithm is based on the optimization of the welding trajectory. …”
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