Multilevel Feature Extraction Method for Adaptive Fault Diagnosis of Railway Axle Box Bearing by Zhigang Liu, Long Zhang, Guoliang Xiong

“…The Q factor is optimized using the gray wolf optimization algorithm (GWO) to obtain an adaptive sparse decomposition method (GWO-RSSD) for extracting bearing transient fault shocks to eliminate the signal effects of high-amplitude disturbance shocks and background noise. …”
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Load forecasting of microgrid based on an adaptive cuckoo search optimization improved neural network by Liping Fan, Pengju Yang

“…Finally, the weights and biases of the forecasting model were optimized by the improved cuckoo search algorithm. The results showed that the BP network optimized by the improved cuckoo search optimization enhanced the global search ability, avoided the local optima, quickened the convergence speed, and presented excellent performance in load forecasting. …”
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Sound Radiation Analysis of a Front Side Window Glass of DrivAer Model under Wind Excitation by Yinzhi He, Zihao Shi, Yu Wu, Zhigang Yang

“…Then, a platform based on Matlab-Abaqus cosimulation was originally developed, and the genetic algorithm was applied to find out the best fitted spring stiffness, which was used to build the equivalent model. …”
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Automated recognition and segmentation of lung cancer cytological images based on deep learning. by Qingyang Wang, Yazhi Luo, Ying Zhao, Shuhao Wang, Yiru Niu, Jinxi Di, Jia Guo, Guorong Lan, Lei Yang, Yu Shan Mao, Yuan Tu, Dingrong Zhong, Pei Zhang

“…Thus, in this study, we developed a model for intraoperative cytological segmentation of pulmonary lesions based on the YOLOv8 algorithm, which labels each instance by segmenting the image at the pixel level. …”
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Deep Learning–Based Prediction of Freezing of Gait in Parkinson's Disease With the Ensemble Channel Selection Approach by Sara Abbasi, Khosro Rezaee

“…Method To address this, we developed a novel algorithm for detecting FoG events based on movement signals. …”
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Dance Evaluation Based on Movement and Neural Network by Yan Lei, Xin Li, Yi Jiao Chen

“…In order to address these issues, we design a dance generation algorithm based on movements and neural networks that will extract the mapping between voice and movement features. …”
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Information flows’ movement analysis in the integrated accounting and analytical system of individual entrepreneurs in the web business on marketplaces sphere by T. M. Nepryahina

“…Further studies may be devoted to assessing the effectiveness of the accounting and analytical system for individual entrepreneurs and clarifying the algorithm of automation, as well as obtaining information when accounting within such a system.…”
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Multiobjective Optimization Design for Structural Parameters of TBM Disc Cutter Rings Based on FAHP and SAMPGA by Laikuang Lin, Yimin Xia, Dun Wu

“…According to the characteristics of this model, a self-adaptive multipopulation genetic algorithm (SAMPGA) is utilized to solve the optimization problem, and the Fuzzy analytical hierarchy process (FAHP) is employed to calculate weight coefficients for multiple objectives. …”
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Retraksi: Penerapan Data Mining Menggunakan Algoritma Apriori untuk Menentukan Pola Penyebab Gelandangan dan Pengemis by Wirta Agustin, Yulya Muharmi

“…Alasan pembatalan penerbitan adalah artikel tersebut juga telah terbit di Indonesian Journal of Artificial Intelligence and Data Mining (IJAIDM) pada Volume 1 No. 2, September 2018 dengan judul "Apriori Algorithm through RapidMiner for Age Patterns of Homeless and Beggars" dan link http://ejournal.uin-suska.ac.id/index.php/IJAIDM/article/view/5670. …”
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A Reliable Data Collection Protocol Based on Erasure-Resilient Code in Asymmetric Wireless Sensor Networks by Jian-Jun Lei, Taehyun Park, Gu-In Kwon

“…Meanwhile, to improve efficiency, RECPE also exploits Trickle algorithm to reduce routing beacons and pipeline data delivery to prevent self-interference. …”
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Land use land cover change as a casual factor for climate variability and trends in the Bilate River Basin, Ethiopia. by Samuel Shibeshi Bikeko, Dr E Venkatesham

“…Utilizing multispectral satellite imagery from Landsat 5, 7, and 8, along with meteorological data from five stations, LULC was classified using the Random Forest algorithm on the Google Earth Engine platform. Climate variability and trends were assessed using the Mann-Kendall trend test, the Standardized Precipitation Index (SPI), and the Standardized Temperature Index (STI). …”
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Application of Improved Deep Learning Method in Intelligent Power System by HuiJie Liu, Yang Liu, ChengWen Xu

“…The results showed the following: in the power load forecast results over the weekend, the random forest and the LSTM algorithm forecast results were relatively close and the RMSEs were 17.3 and 17.1, respectively, while the SVM predicted a larger RMSE error of 27.5. …”
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MRI-Based Quantification of Magnetic Susceptibility in Gel Phantoms: Assessment of Measurement and Calculation Accuracy by Emma Olsson, Ronnie Wirestam, Emelie Lind

“…The investigated QSM algorithm was generally robust to changes in measurement and calculation parameters, but experimental phase data of sufficient quality may be difficult to obtain in certain geometries.…”
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m_AutNet–A Framework for Personalized Multimodal Emotion Recognition in Autistic Children by Asha Kurian, Shikha Tripathi

“…A classifier performs emotion classification on this domain space following adaptation. The proposed algorithm shows higher performance than state-of-the-art affect recognition classifiers for autistic children, with an accuracy of 88.25%.…”
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An Incremental Self-Adaptive Wood Species Classification Prototype System by Peng Zhao, Zhen-Yu Li, Yue Li

“…Third, the new wood samples of unknown species are sent into the Clustering by Fast Search and Find of Density Peaks (CFSFDP) algorithm for the unsupervised clustering, and the clustering result is evaluated by the internal and external norms. …”
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Simulation and Optimization of Acoustic Package of Dash Panel Based on SEA by Jintao Su, Ling Zheng, Jianping Lou

“…On this basis, multiobjective genetic algorithm and proxy model method are used to optimize the insertion loss of the front panel acoustic pack and the weight of the dashboard by introducing multiobjective variable and experimental design method, so as to obtain the best solution to meet the requirements of insertion loss and lightweight acoustic pack of the dashboard. …”
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Analyzing the efficacy of trimethylolpropane trioleate oil for predicting cutting power and surface roughness in high-speed drilling of Al-6061 through machine learning. by Pramod S Kathmore, Bhanudas D Bachchhav, Duran Kaya, Sachin Salunkhe, Lenka Cepova, Ondřej Mizera, Emad Abouel Nasr

“…Furthermore, a machine learning algorithm was developed to forecast and compare various key aspects of high-speed drilling machinability, including power and surface roughness. …”
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Logo Design Process and Method of Intellectual Property Big Data in the Digital Media Era by Xin Jia, Yan Dong, Bingxue Wang

“…According to the research, the classification accuracy rate of the algorithm proposed in this paper is 91.5%, and the recognition rate of various defects is also above 95%. …”
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Human-AI collaboration is not very collaborative yet: a taxonomy of interaction patterns in AI-assisted decision making from a systematic review by Catalina Gomez, Sue Min Cho, Shichang Ke, Chien-Ming Huang, Mathias Unberath

“…Leveraging Artificial Intelligence (AI) in decision support systems has disproportionately focused on technological advancements, often overlooking the alignment between algorithmic outputs and human expectations. A human-centered perspective attempts to alleviate this concern by designing AI solutions for seamless integration with existing processes. …”
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Multi-Object Tracking with Predictive Information Fusion and Adaptive Measurement Noise by Xiaohui Cheng, Haoyi Zhao, Yun Deng, Shuangqin Shen

“…Additionally, we enhance the affinity matrix in the association algorithm by incorporating height information, thereby improving the stability of complex moving objects. …”
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