TensorTrack: Tensor Decomposition for Video Object Tracking by Yuntao Gu, Pengfei Zhao, Lan Cheng, Yuanjun Guo, Haikuan Wang, Wenjun Ding, Yu Liu

“…To further enhance localization precision and robustness, the paper also incorporates Tucker2 decomposition to integrate appearance and motion patterns, generating composite heatmaps. …”
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Development of Executive Equipment Design for Implementing the Process of Generating of Drops of Microand Nanoscale Range by M. A. Kuznetsov, D. P. Ilyaschenko, A. V. Kryukov, S. A. Solodsky, E. V. Lavrova, E. V. Verkhoturova

“…A plasmatron nozzle was manufactured which forms the necessary directions of plasma flows for the formation of surface waves on the metal droplet surface under the influence of instabilities. An algorithm has been developed for controlling of executive equipment that implements the process of generating drops of micro- and nanoscale range.…”
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Research on Time Constant Test of Thermocouples Based on QNN-PID Controller by Chenyang Xu, Xiaojian Hao, Pan Pei, Tong Wei, Shenxiang Feng

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Comparative analysis of visible and near-infrared (Vis-NIR) spectroscopy and prediction of moisture ratio using machine learning algorithms for jujube dried under different conditi... by Seda Günaydın, Necati Çetin, Cevdet Sağlam, Kamil Sacilik, Ahmad Jahanbakhshi

“…Then, characteristics, such as color, spectral reflectance, vegetation indices (VIs), rehydration rate (RR), drying kinetics, moisture ratio (MR), and moisture content (MC) were measured and compared after using the above-mentioned drying methods. Also, the MR was predicted by the MC, and the drying rate (DR), drying times, and final thickness were predicted using the multi-layer perceptron (MLP), gaussian process (GP), k-nearest neighbors (KNN), random forest (RF), and support vector regression (SVR) algorithms. …”
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Diagnosis of Pain Deception Using Minnesota Multiphasic Personality Inventory-2 Based on XGBoost Machine Learning Algorithm: A Single-Blinded Randomized Controlled Trial by Hyewon Chung, Kihwan Nam, Subin Lee, Ami Woo, Joongbaek Kim, Eunhye Park, Hosik Moon

“…MMPI-2, Waddell’s sign, and salivary alpha-amylase (SAA) were also measured. For analyzing the MMPI-2, the XGBoost ML algorithm was applied. …”
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Joint Optimization of Caching and Recommendation with Performance Guarantee for Effective Content Delivery in IoT by Zhiyong Liu, Hong Shen, Hui Tian

“…Experimental results demonstrate that our algorithm dramatically improves the popular least-recently used (LRU) algorithm. …”
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Relationship-Based Ambient Detection for Concrete Pouring Verification: Improving Detection Accuracy in Complex Construction Environments by Seungwon Yang, Hyunsoo Kim

“…The framework employs the You Only Look Once version 11 (YOLOv11) algorithm, addressing issues of boundary ambiguity and misrecognition through relational analysis. …”
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Food Cooking Process Modeling With Neural Networks by Javier Fananas-Anaya, Gonzalo Lopez-Nicolas, Carlos Sagues, Sergio Llorente

“…The NARX-NN trained with the proposed training algorithm obtains an R-squared of more than 0.99 in the test simulations, while the same NARX-NN trained with the standard training algorithm obtains an R-squared of 0.78 in the same tests. …”
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Optimization of the flow guiding fins configuration and tube arrangements in a shell and tube heat exchanger: coupling response surface methodology and CFD by Xiangmin Shao, Ali Marzban, Farzad Pourfattah, Omid Ali Akbari, Gholamreza Ahmadi, Nafiseh Emami, Soheil Salahshour

“…In this case, they have improved heat transfer by 20 %, although they have also caused a significant increase in pressure drop. …”
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Optimal band selection and transfer in drone-based hyperspectral images for plant-level vegetable crops identification using statistical-swarm intelligence (SSI) hybrid algorithms by Anagha S. Sarma, Rama Rao Nidamanuri

“…The specific wavelengths are also capable of detection of crops in ground based hyperspectral sensor images. …”
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Multi-Objective Optimization Algorithm Based Bidirectional Long Short Term Memory Network Model for Optimum Sizing of Distributed Generators and Shunt Capacitors for Distribution S... by Amarendra Alluri, Srinivasa Rao Gampa, Balaji Gutta, Mahesh Babu Basam, Kiran Jasthi, Nibir Baran Roy, Debapriya Das

“…The stochastic traits of evolutionary computing methods necessitate running the algorithm repeatedly to confirm the global optimum. …”
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Differential evolution-optimized gold nanorods for enhanced photothermal conversion by Aimad Koulali, Piotr Radomski, Paweł Ziółkowski, Francesca Petronella, Luciano De Sio, Dariusz Mikielewicz

“…Utilizing the Differential Evolution (DE) algorithm, a robust metaheuristic optimization approach, we calculated the optimal size and shape of AuNRs for selected wavelengths. …”
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Energy-Efficient Hybrid Adaptive Clustering for Dynamic MANETs by Kudret Yilmaz, Resul Kara, Ferzan Katircioglu

“…In the first stage, based on the Weighted Clustering Algorithm (WCA) for selecting optimal CHs, criteria such as node degree, neighborhood distance, power of battery and mobility are optimized using the Gravity Search Algorithm (GSA). …”
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Development and Experiment of Adaptive Oolong Tea Harvesting Robot Based on Visual Localization by Ruidong Yu, Yinhui Xie, Qiming Li, Zhiqin Guo, Yuanquan Dai, Zhou Fang, Jun Li

“…And the processing time of the algorithm met the real-time requirements for effective tea-picking operations. …”
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Prediction of one-year recurrence among breast cancer patients undergone surgery using artificial intelligence-based algorithms: a retrospective study on prognostic factors by Raoof Nopour

“…Although the survival of breast cancer is relatively high, the recurrence rate is also high, demanding effective predictive solutions to breast cancer prognosis among post-operative patients. …”
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Improving Automatic Coronary Stenosis Classification Using a Hybrid Metaheuristic with Diversity Control by Miguel-Angel Gil-Rios, Ivan Cruz-Aceves, Arturo Hernandez-Aguirre, Martha-Alicia Hernandez-Gonzalez, Sergio-Eduardo Solorio-Meza

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Evaluation of changes in chemical composition and antioxidant activities from vine tea at different harvest times based on LC-MS, GC-MS, and data fusion algorithms by Lele Zhang, Zixin Zhang, Yu Zhao Hou, Simon Sani Ocholi, Liming Wang, Zhifei Fu, Changjun Liu, Zhonglian Zhang, Lifeng Han

“…By employing mass defect filtering (MDF) and a data fusion algorithm, the study examined compositional changes across different harvesting periods. …”
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Intelligent Firefighting Technology for Drone Swarms with Multi-Sensor Integrated Path Planning: YOLOv8 Algorithm-Driven Fire Source Identification and Precision Deployment Strateg... by Bingxin Yu, Shengze Yu, Yuandi Zhao, Jin Wang, Ran Lai, Jisong Lv, Botao Zhou

“…Experimental results demonstrate that this study significantly improves fire source detection accuracy and firefighting efficiency by optimizing the YOLOv8 algorithm, path-planning algorithms, and cooperative flight strategies. …”
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Prediction of peripheral lymph node metastasis (LNM) in thyroid cancer using delta radiomics derived from enhanced CT combined with multiple machine learning algorithms by Wenzhi Wang, Feng Jin, Lina Song, Jinfang Yang, Yingjian Ye, Junjie Liu, Lei Xu, Peng An

“…Various machine learning algorithms (such as SVM, GBM, RF, XGBoost, KNN, and LightGBM) were trained on the clinical and radiomic feature data sets and used to construct a reliable prediction model. …”
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The impact of rainfall and slope on hillslope runoff and erosion depending on machine learning by Naichang Zhang, Zhaohui Xia, Peng Li, Qitao Chen, Ganggang Ke, Fan Yue, Fan Yue, Yaotao Xu, Tian Wang

“…This research not only provides a theoretical basis for soil erosion control but also offers scientific support for the precise prediction and management of soil conservation measures in purple soil regions.…”
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