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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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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Implementing the Result Decoding Algorithm of the Conditioned and Unconditioned Quest in Controling the Discipline Competence Level by Y. I. Kon, V. I. Freiman, A. A. Yuzhakov

“…In addition, the algorithm of filling the matrix is illustrated along with the correlation of diagnostic indices and ratings with the assessment scales; the decoding algorithm of the unconditional testing procedure is described including the computation examples and outcome analysis. …”
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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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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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Predicting Firefighter Injury and Entrapment in Urban Firefighting Operations: An Investigation Into the Effectiveness of Modified Fire Time Stages and Machine Learning by Mohammad Mahdi Barati Jozan, Hamed Khosravi, Aynaz Lotfata, Krzysztof J. Cios, Hamed Tabesh

“…Methods In this study, we compare the performance of eight machine learning algorithms in predicting the occurrence of firefighter injuries and entrapment during urban fire incidents. …”
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Deep Learning algorithm for the assessment of the first damage initiation monitoring the energy release of materials by Dario Milone, Dario Santonocito

“…Once trained, the network can predict the transition temperature at which the first plastic deformation occurs within the material. …”
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An Accurate Phase Interface Locating Algorithm for Pore-Scale Two-Phase Interfacial Flows by Qiliang Mei, Tianjiang Wu, Chao Li, Xiaoying Zhou

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Research on the optimization of mortar mix proportion based on neural network models and genetic algorithm by Chunyu Jiang

“…The genetic algorithm is then applied to optimize the model’s predictions, yielding the optimal mix design. …”
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Landslide susceptibility analysis using random forest model with SMOTE-ENN resampling algorithm by Mingxi Lu, Lea Tien Tay, Junita Mohamad-Saleh

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