Fault Feature Extraction Method of Gearbox based on Parameter Optimization VMD by Ding Chengjun, Fu Xiaoyang, Feng Yubo, Zhang Liang

“…Firstly，the drosophila optimization algorithm is used to search for the most optimal combination of the variational mode decomposition's <italic>K</italic> and <italic>α</italic>，aiming at the minimum local entropy of the decomposition result. …”
Get full text

Active-Margin Transmission Power Control for Wireless Sensor Networks by Byung-Hee Son, Kwang-Jin Kim, Ye Li, Young-Wan Choi

“…Active-margin transmission power control (AM-TPC) is based on an algorithm that selects an optimized transmission power by considering the channel conditions in mobile environments. …”
Get full text

Attitude tracking control for quadrotor UAVs based on extremum seeking by GUO Dali, ZHAO Zhongyuan, LUO Zijuan

“…Finally, numerical simulations were performed using MATLAB, which demonstrated a reduction of 0.246 in the steady-state tracking error of the proposed control method compared to the classical robust control method. …”
Get full text

Active control or passive control? (Outline of active noise control and it's application to practical problems) by Ken'iti KIDO

“…This paper concentrates the technology using FIR filter, and the renewal algorithm of the coefficients of FIR adaptive filter is shown in unified form. …”
Get full text

Treatment for rheumatic polymyalgia by Azamat Makhmudovich Satybaldyev

“…The role of nonsteroidal anti-inflammatory drugs in the treatment of RP is also evaluated. An algorithm is proposed for the management of a patient with RP.…”
Get full text

Online Identification of Mathematical Model of Circular Plate for Vibration Cancellation by Paweł KOS

“…In this paper the ARX model structure and algorithm called online identification have been considered. …”
Get full text

A Stable Distributed Neural Controller for Physically Coupled Networked Discrete-Time System via Online Reinforcement Learning by Jian Sun, Jie Li

“…For avoiding a large number of trials and improving the stability, the training of action network introduces supervised learning mechanisms into reduction of long-term cost. The stability of the control system with learning algorithm is analyzed; the upper bound of the tracking error and neural network weights are also estimated. …”
Get full text

Perspectives of Second-Order Blind Identification for Operational Modal Analysis of Civil Structures by C. Rainieri

“…These represent key issues in view of the automation of the algorithm and its integration within vibration-based monitoring systems. …”
Get full text

Vulnerability of peatland fires in bengkalis regency during the ENSO El nino phase using a machine learning approach by Fauziah, Lilik B. Prasetyo, Nonon Saribanon, Nur Hayati

“…Therefore, the development of a peatland fire prediction model is necessary. This study aims to identify peatland fire vulnerability in Bengkalis Regency using burn area from MODIS 2019. …”
Get full text

Enhancing students performance through dynamic personalized learning path using ant colony and item response theory (ACOIRT) by Imamah, Umi Laili Yuhana, Arif Djunaidy, Mauridhi Hery Purnomo

“…Generating personalized learning paths (PLP) tailored to each student's characteristics and abilities is challenging, especially when using multiple-choice test scores to predict knowledge levels, which can be affected by guessing. …”
Get full text

A deep learning approach to real-time Markov modeling of ion channel gating by Efthymios Oikonomou, Yannick Juli, Rajkumar Reddy Kolan, Linda Kern, Thomas Gruber, Christian Alzheimer, Patrick Krauss, Andreas Maier, Tobias Huth

“…In addition, we propose a method to evaluate the goodness of a predicted model by re-simulating the prediction. Finally, we tested the algorithm with data recorded on a patch-clamp setup. …”
Get full text

Creating prognostic systems for cancer patients: A demonstration using breast cancer by Mathew T. Hueman, Huan Wang, Charles Q. Yang, Li Sheng, Donald E. Henson, Arnold M. Schwartz, Dechang Chen

“…Abstract Integrating additional prognostic factors into the tumor, lymph node, metastasis staging system improves the relative stratification of cancer patients and enhances the accuracy in planning their treatment options and predicting clinical outcomes. We describe a novel approach to build prognostic systems for cancer patients that can admit any number of prognostic factors. …”
Get full text

Geographical Peer Matching for P2P Energy Sharing by Romaric Duvignau, Vincenzo Gulisano, Marina Papatriantafilou, Ralf Klasing

“…Significant cost reductions attract ever more households to invest in small-scale renewable electricity generation and storage. …”
Get full text

Complex Therapy for Intraoperative Blood Loss during Pelvic Bone Repair by Z. G. Marutyan, Yu. V Nikiforov, A. B. Kazantsev, A. A. Ter-Grigoryan

“…Objective: to introduce blood saving technologies and to develop algorithms for management of patients with pelvic fractures. …”
Get full text

Developing and validating a drug recommendation system based on tumor microenvironment and drug fingerprint by Yan Wang, Xiaoye Jin, Rui Qiu, Bo Ma, Sheng Zhang, Xuyang Song, Jinxi He

“…This study aimed to develop a personalized drug recommendation model leveraging genomic profiles to optimize therapeutic outcomes.MethodsA content-based filtering algorithm was implemented to predict drug sensitivity. …”
Get full text

Application and Challenges of Artificial Intelligence in Different Branches of Dentistry by Ali Mirzaei, Melika Mollaei, Anahita Lotfizadeh, Mehdi Aryana, Alireza Ebrahimpour

“…Maxillofacial applications include surgical outcome prediction and pathology identification. Forensic applications facilitate age and gender determination through radiographic analysis. …”
Get full text

Correlation learning based multi-task model and its application by XU Wei, LUO Jianping, LI Xia, CAO Wenming

“…In order to solve the problem of inherent conflicts of task differences that can damage the prediction of some tasks, a multi-task learning model based on correlation learning layer (CLL) is proposed. …”
Get full text

Design and optimization of an open personalized human-computer interaction system for New Year Painting based on the learner's model by Zaozao Guo, Muhamad Firdaus Ramli, Wenpeng Zhang

“…Firstly, the attention mechanism based long and short term memory network is used to mine the emotion from the course review text of learners, and the association rule algorithm and ID3 algorithm are used to initialize and dynamically update the text. …”
Get full text

Deep learning for sea surface temperature applications: A comprehensive bibliometric analysis and methodological approach by Redouane Larbi Boufeniza, Luo Jingjia, Kemal Adem Abdela, Karam Alsafadi, Mohammad M Alsahli

“…Moreover, the long short‐term memory (LSTM) algorithm was the predominant computational deep learning algorithm extensively used in this specific context. …”
Get full text

Comprehensive evaluation of phosphoproteomic-based kinase activity inference by Sophia Müller-Dott, Eric J. Jaehnig, Khoi Pham Munchic, Wen Jiang, Tomer M. Yaron-Barir, Sara R. Savage, Martin Garrido-Rodriguez, Jared L. Johnson, Alessandro Lussana, Evangelia Petsalaki, Jonathan T. Lei, Aurelien Dugourd, Karsten Krug, Lewis C. Cantley, D. R. Mani, Bing Zhang, Julio Saez-Rodriguez

“…We used benchmarKIN to evaluate kinase-substrate libraries, inference algorithms and the potential of adding predicted kinase-substrate interactions to overcome the coverage limitations. …”
Get full text