Karatsuba Algorithm Revisited for 2D Convolution Computation Optimization by Qi Wang, Jianghan Zhu, Can He, Shihang Wang, Xingbo Wang, Yuan Ren, Terry Tao Ye

“…Our analysis and benchmarks have shown that for convolution operations of the same dimensions, the Karatsuba algorithm requires the same number of multiplications but fewer additions as compared with the Winograd algorithm. …”
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Rapid Decision Algorithm for Patient Triage during Ebola Outbreaks by Denis-Luc Ardiet, Justus Nsio, Gaston Komanda, Rebecca M. Coulborn, Emmanuel Grellety, Francesco Grandesso, Richard Kitenge, Dolla L. Ngwanga, Bibiche Matady, Guyguy Manangama, Mathias Mossoko, John K. Ngwama, Placide Mbala, Francisco Luquero, Klaudia Porten, Steve Ahuka-Mundeke

“…External validation of this algorithm on retrospective data revealed the probability of infection continuously increased with the score. …”
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Application of Decision Tree-Based Classification Algorithm on Content Marketing by Yi Liu, Shuo Yang

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An algorithm for cardiac disease detection based on the magnetic resonance imaging by Heng Li, Qingni Yuan, Yi Wang, Pengju Qu, Chunhui Jiang, Hu Kuang

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Fake News Detection Model Basing on Machine Learning Algorithms by Mohammed A. Taha, Haider D. A. Jabar, Widad K. Mohammed

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AN ONBOARD IMAGE RECOGNITION MODULE FOR MONITORING SYSTEMS: METHODS AND ALGORITHMS by V. A. Kovalev, A. A. Kalinovsky, A. A. Dmitruk

“…The methods and algorithms of a compact on-board image recognition module to be used as a part of monitoring systems is presented. …”
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Treatment algorithm for chronic vertebrogenic back pain: the role of chondroprotectors by O. S. Levin, E. E. Vasenina, A. I. Nebozhin, A. Yu. Nikitina

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Analysis of E-Commerce Marketing Strategy Based on Xgboost Algorithm by Hong Chen, Wei Wan

“…After data cleaning and preprocessing, XGboost algorithm is used to predict whether the customer will process the credit card. …”
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Turkish educational policy in Central Asia by A. S. Ergashev, O. E. Grishin

“…The author suggests algorithmic approaches to improve the image and increase Turkish education attractiveness through tourism and culture. …”
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InSAR Phase Unwrapping Algorithm Based on Deep GAN by Chenxia Wang, Pingli Sun, Zheng Li, Linlin Tang

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THE ALGORITHM FOR THE TREATMENT OF PATIENTS WITH TREATMENT-RESISTANT HYPERTENSION AT THE OUTPATIENT STAGE by O. S. Kulbachuk, E. V. Sid, O. V. Soloviov, A. V. Piskun

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Extended Blahut–Arimoto Algorithm for Semantic Rate-Distortion Function by Yuxin Han, Yang Liu, Yaping Sun, Kai Niu, Nan Ma, Shuguang Cui, Ping Zhang

“…Furthermore, by considering the semantic knowledge base (SKB) as a specific instance of synonymous mapping, the EBA algorithm provides a theoretical approach for analyzing and predicting the SKB size. …”
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Utility channel estimation algorithm with interference suppression in OFDM system by Xiaoyang LAI, Lin DUO

“…In OFDM system,the least square（LS）algorithm has the shortage of noise cancelling and interference suppressing.An utility channel estimation algorithm which took advantage of the time frequency characteristic in OFDM system was proposed.The new channel estimation algorithm realized noise cancelling and interference suppressing through time-frequency transform by three times.In view of time-frequency transform could be achieved by FFT/IFFT,the new channel estimation algorithm complexity was low.In the TU channel simulation,the new channel estimation algorithm has the high performance,which was 3 dB better than the LS algorithm.In the TU channel simulation with interference suppression,the new channel estimation algorithm has only 1.5 dB reduction in performance.…”
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Conflict management training for future educators by N. A. Sokolova, N. V. Sivrikova, E. G. Chernikova, T. G. Ptashko, E. M. Harlanova, S. V. Roslyakova

“…The relevance of the declared topic was dictated by the increased conflict between the members of education and the increasing demands placed on the professional activities of the modern teachers to resolve conflicts in the conditions of general education school. …”
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Vehicle Lateral Control Based on Augmented Lagrangian DDPG Algorithm by Zhi Li, Meng Wang, Haitao Zhao

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Dynamic beam shut-off algorithm for LEO satellite constellation by Shuaijun LIU, Yuemei HU, Chunshi FAN, Teng LING, Lixiang LIU

“…Aiming at the problems of the relatively dense coverage of the satellites in the space segment of the low earth orbit (LEO) multibeam satellite constellation network,which resulted in relatively dense areas in some regions,causing severe inter-beam interference and unnecessary beam resource overhead,a beam shut-off algorithm was proposed with global coverage requirements.The dynamic beam shut-off (DBSO) optimization problem was formulated in LEO multibeam satellite constellation network.Then,the problem was proved to be NP-complete and a heuristic DBSO algorithm was proposed.Simulation scenario considers the Iridium constellation network scenario with total 3 168 beams,and it shows that the number of required activated beams is only 1 913 with 39.61% beam resource reduction.…”
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Review and classification of trajectory summarisation algorithms: From compression to segmentation by Daniel Amigo, David Sánchez Pedroche, Jesús García, José Manuel Molina

“…Finally, we outline the recent trends and best practices to continue the research in next summarisation algorithms.…”
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YOLO-MECD: Citrus Detection Algorithm Based on YOLOv11 by Yue Liao, Lerong Li, Huiqiang Xiao, Feijian Xu, Bochen Shan, Hua Yin

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Novel Multimodal Fusion Algorithm for Non-Intrusive Anxiety Detection by Mahir Shadid, Mushfiqus Salehin Afnan, Rashed Mustafa, M. Jamshed Alam Patwary

“…The study utilizes six advanced machine learning algorithms (Gaussian Naive Bayes, XGB Classifier, K-Neighbors, SVM, Decision-Tree, and RandomForest) for data classification, pattern recognition, and predictive accuracy. …”
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Trajectory Estimation Filtering Algorithm for Underwater Equipment Based on UKF by CHEN Ziyue, JI Fuwu, ZHOU Wei

“…Firstly, the implementation process of the classic unscented Kalman filter is explained, and the idea of Sage-Husa adaptive adjustment of noise is introduced; then, on this basis, the prediction residual vector is introduced to reduce the influence of gross error on the filtering result, and a tracking factor is introduced to improve the adaptability of the filter to sudden motion; finally, the effectiveness of the algorithm is verified by simulation experiments and towing experiments. …”
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