Improving Random Forest Algorithm for University Academic Affairs Management System Platform Construction by Jinyang Dai

“…Combining the advantages of three data-driven prediction algorithms, namely, random forest, extreme gradient boosting (XGBoost), and gradient boosting decision tree (GBDT), a model based on improved random forest algorithm is proposed. …”
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Wind energy resource assessment based on joint wolf pack intelligent optimization algorithm. by Jiayuan Wang

“…The hybrid prediction model has a smaller relative error value compared to a single algorithm, with a maximum value of less than 0.2. …”
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Territorial Space Optimization Method Based on Multi-Objective Genetic Algorithm and FLUS Model by Lin Ge

“…The difference between the predicted and actual future spatial population values using the proposed algorithm was less than 2%, which was 56.5% lower than the other two prediction algorithms on average. …”
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Short-Term Power Load Forecasting Method based on Glowworm Swarm Optimization Algorithm by Haihong FAN

“…With the rapid development of the power industry, the power load prediction is becoming more and more important in recent years, and short-term load prediction plays an extremely important role in dispatching and market operation of the power system. …”
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Coupling of green building construction based on particle Swarm optimizing neural network algorithm by Wang Leigang, Li Shaohua, Wang Liang, Zhang Zheng, Zhou Yuchen, Chang Long

“…Compared with traditional methods, the prediction error of this algorithm is significantly reduced, and the data fitting accuracy is improved to 0.99809, indicate its effectiveness in predicting construction safety risks. …”
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Online English Teaching Course Score Analysis Based on Decision Tree Mining Algorithm by Xiaojun Jiang

“…In this paper, we use the global search advantage of genetic algorithm to build a GABP hybrid prediction model to solve the local minimum problem of BP neural network algorithm. …”
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Weakly supervised semantic segmentation and optimization algorithm based on multi-scale feature model by Changzhen XIONG, Hui ZHI

“…In order to improve the accuracy of weakly-supervised semantic segmentation method,a segmentation and optimization algorithm that combines multi-scale feature was proposed.The new algorithm firstly constructs a multi-scale feature model based on transfer learning algorithm.In addition,a new classifier was introduced for category prediction to reduce the failure of segmentation due to the prediction of target class information errors.Then the designed multi-scale model was fused with the original transfer learning model by different weights to enhance the generalization performance of the model.Finally,the predictions class credibility was added to adjust the credibility of the corresponding class of pixels in the segmentation map,avoiding false positive segmentation regions.The proposed algorithm was tested on the challenging VOC 2012 dataset,the mean intersection-over-union is 58.8% on validation dataset and 57.5% on test dataset.It outperforms the original transfer-learning algorithm by 12.9% and 12.3%.And it performs favorably against other segmentation methods using weakly-supervised information based on category labels as well.…”
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ANFIS algorithm for mapping computational data of water reservoir homogenization with air bubble flows by Lioua Kolsi, Iman Behroyan, Moustafa S. Darweesh, Badr M. Alshammari, T. Armaghani, Meisam Babanezhad

“…Finally, air vorticity was considered as the output parameter of the study in the predictions. Correlations were developed to predict the air vorticity in each node using x and z direction, air velocity, and pressure. …”
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Prophetic Energy Assessment with Smart Implements in Hydroelectricity Entities Using Artificial Intelligence Algorithm by Abdullah Saleh Alqahtani, Pravin R. Kshirsagar, Hariprasath Manoharan, Praveen Kumar Balachandran, C. K. Yogesh, Shitharth Selvarajan

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Cellular-free RAN slicing resource allocation algorithm based on multi-timescale collaboration by XIA Weiwei, WANG Boye, XIA Yaxing, MIAO Weiwei, WANG Dayang, JING Dongsheng, YAN Feng, SHEN Lianfeng

“…Simulation results demonstrate that the proposed algorithm can accurately predict slice resource, improve the system transmission rates while reducing the average user latency and service blocking probability.…”
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Porosity Characterization of Thermal Barrier Coatings by Ultrasound with Genetic Algorithm Backpropagation Neural Network by Shuxiao Zhang, Gaolong Lv, Shifeng Guo, Yanhui Zhang, Wei Feng

“…In this study, the ultrasonic technique and the artificial neural network optimized with the genetic algorithm (GA_BPNN) are combined to develop an intelligent method for automatic detection and accurate prediction of TBCs’s porosity. …”
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Optimization of surface roughness for titanium alloy based on multi-strategy fusion snake algorithm. by Nanqi Li, ZuEn Shang, Yang Zhao, Hui Wang, Qiyuan Min

“…Subsequently, the snake algorithm with multi-strategy fusion is introduced. …”
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Computational Identification of Metabolic Pathways of Plasmodium falciparum using the k-Shortest Path Algorithm by Jelili Oyelade, Itunuoluwa Isewon, Olufemi Aromolaran, Efosa Uwoghiren, Titilope Dokunmu, Solomon Rotimi, Oluwadurotimi Aworunse, Olawole Obembe, Ezekiel Adebiyi

“…Heuristic function was introduced for the optimal performance of the algorithm. To validate the prediction, the essentiality of the reactions in the reconstructed network was evaluated using betweenness centrality measure, which was applied to every reaction within the pathways considered in this study. …”
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Modeling Information Diffusion in Online Social Networks Using a Modified Firefly Algorithm by Amjad Alloush, Ghaida Rebdawi, Mohammad Saeed Abou Trab

“…The proposed algorithm outperforms other baseline methods in terms of accuracy and efficiency in predicting information diffusion.…”
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Attentive ink MLP droplet detection algorithm based on the satellite droplets threshold domain by Yin Wang, Yali Qi, Likun Lu, Qingtao Zeng

“…Based on this domain, an attention-based MLP algorithm, the Attentive Ink MLP Based on this domain, an attention-based MLP algorithm, the Attentive Ink MLP, was proposed to automatically predict whether a waveform will generate satellite droplet. algorithm reduces prediction time from 40 min to 5 min, with a validation accuracy of 0.988. …”
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A theory of memory for binary sequences: Evidence for a mental compression algorithm in humans. by Samuel Planton, Timo van Kerkoerle, Leïla Abbih, Maxime Maheu, Florent Meyniel, Mariano Sigman, Liping Wang, Santiago Figueira, Sergio Romano, Stanislas Dehaene

“…Here, we tested the theory that human adults encode binary sequences of stimuli in memory using an abstract internal language and a recursive compression algorithm. The theory predicts that the psychological complexity of a given sequence should be proportional to the length of its shortest description in the proposed language, which can capture any nested pattern of repetitions and alternations using a limited number of instructions. …”
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INDIVIDUAL PROGNOSTIC ALGORITHM FOR ESTIMATING THE RISK OF ESOPHAGEAL CANCER PROGRESSION AFTER SURGICAL TREATMENT by O. I. Kit, E. Yu. Zlatnik, A. L. Bazaev, A. A. Demidova, I. A. Novikova

“…The development of laboratory criteria for predicting esophageal cancer (EC) prognosis is of great importance due to the need to achieve personalized approach to cancer treatment. …”
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Online stability assessment for isolated microgrid via LASSO based neural network algorithm by Ahmed Lasheen, Hatem F. Sindi, Hatem H. Zeineldin, Mohammed Y. Morgan

“…Online prediction of the dominant modes is very important for microgrid operation. …”
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Application of Genetic Algorithms to Solve MTSP Problems with Priority (Case Study at the Jakarta Street Lighting Service) by Sugih Sudharma Tjandra, Fran Setiawan, Hanoum Salsabila

“…Because, in this case, the delivery capacity is not taken into account, the priority of the lights visited is random, and the number of street light points is enormous, in this study, we use the MTSP method with priority and solve by a genetic algorithm assisted by the nearest neighbor algorithm. …”
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Forecasting the progression of Alzheimer's disease using neural networks and a novel preprocessing algorithm by Jack Albright, Alzheimer's Disease Neuroimaging Initiative

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