Search Results - collection algorithm

AsymGroup: Asymmetric Grouping and Communication Optimization for 2D Tensor Parallelism in LLM Inference by Ki Tae Kim, Seok-Ju Im, Eui-Young Chung

Get full text

Deconvolution of continuous paleomagnetic data from pass‐through magnetometer: A new algorithm to restore geomagnetic and environmental information based on realistic optimization... by Hirokuni Oda, Chuang Xuan

“…Abstract The development of pass‐through superconducting rock magnetometers (SRM) has greatly promoted collection of paleomagnetic data from continuous long‐core samples. …”
Get full text

Multiscale Identification of Parameters of Inhomogeneous Materials by Means of Global Optimization Methods by Witold BELUCH, Marcin HATŁAS

“…Modal analysis is performed to collect data necessary for the identification. Different ranges of measurement errors are considered. …”
Get full text

Synchronization and demodulation of LoRa null port data by Lei Fang, Chen Bo, Lv Jingzhao, Li Pingan, Du Haitao, Li Su

“…The principle of LoRa modulation and demodulation technology is described in essence, and the LoRa modulation data are collected from the Rhode instrument null port. The modulation and demodulation algorithm of LoRa literature is verified, and a synchronization algorithm of LoRa null port data is proposed. …”
Get full text

Research on Predicting Joint Rotation Angles Through Mechanomyography Signals and the Broad Learning System by Yu Bai, Xiaorong Guan, Huibin Li, Shi Cheng, Rui Zhang, Long He

“…Small contact microphones were employed to collect mechanomyography signals, leveraging their ability to capture vibration signals above 8 Hz, making them ideal for mechanomyography acquisition. …”
Get full text

Development and Application of a Software Tool to Support the Teaching of Formal Languages by A. P. Sergushicheva, E. N. Davydova

“…A software training system has been created that allows you to link the theory of formal languages with high-level languages through appropriate examples. The algorithm of checking the correctness of the task execution by means of syntactic analysis of the program entered by the student and imitation of its execution is developed and implemented in the specified system. …”
Get full text

Prediction of the Immune Phenotypes of Bladder Cancer Patients for Precision Oncology by Hyuna Cho, Feng Tong, Sungyong You, Sungyoung Jung, Won Hwa Kim, Jayoung Kim

“…Publicly available BC datasets were collected, and machine learning (ML) approaches were applied to identify a novel biosignature to differentiate patient subgroups. …”
Get full text

Predicting Running Vertical Ground Reaction Forces Using Neural Network Models Based on an IMU Sensor by Shangxiao Li, Jiahui Pan, Dongmei Wang, Shufang Yuan, Jin Yang, Weiya Hao

“…The sliding time window synchronization (STWS) algorithm was developed to sync IMU data with vGRF data. …”
Get full text

Creation of a collection of different biological sample types from elderly patients to study the relationship of clinical, systemic, tissue and cellular biomarkers of accumulation... by A. G. Sorokina, Ya. A. Orlova, O. A. Grigorieva, E. S. Novoseletskaya, N. A. Basalova, N. A. Alexandrushkina, M. A. Vigovsky, K. I. Kirillova, A. V. Balatsky, L. M. Samokhodskaya, N. V. Danilova, U. D. Dyachkova, D. А. Fedotov, A. A. Akopyan, V. V. Kakotkin, D. A. Asratyan, Zh. A. Akopyan, A. Yu. Efimenko

“…To develop and describe action algorithms for creating a biobank of samples obtained from patients aged >65 years in order to study biomarkers of SC cell accumulation.Material and methods. …”
Get full text

Development and Validation of a Neonatal Hypothermia Prediction Model for In-Hospital Transport Using Machine Learning Algorithms: A Single-Center Retrospective Study by Zhang W, Gu X, Gu C, Yao L, Zhang Y, Wang K

“…Six machine learning algorithms—Decision Tree (DT), Random Forest (RF), eXtreme Gradient Boosting (XGBoost), Support Vector Machine (SVM), Artificial Neural Network (ANN), and Naive Bayes (NB)—were used to develop predictive models. …”
Get full text

Digital scientific platform “Aggregator of unstructured geological and field data”: architecture and basic models of data extraction by O. A. Nevzorova, R. R. Khakimullin, I. I. Idrisov

Get full text

Analysis of MS Progression with Hemisphere Histogram Comparison, Temporal Volumetric Analysis of Brain Regions, and Extraction of Brain Lesions through Marker-Controlled Watershed... by Alireza Banitalebidehkordi, Mohammad Mahdi Khalilzadeh, Farzan Khatib, Mahdi Azarnoosh

“…The marker-controlled watershed algorithm was employed to extract MS lesions and plaques. …”
Get full text

Prediction of 5-year postoperative survival and analysis of key prognostic factors in stage III colorectal cancer patients using novel machine learning algorithms by Wei Zhang, Yan Li, Jinghan Jia, Yuhang Yang, Yuyuan Hu, Yanhong Wang, Jinxi Wang

“…ObjectiveThis study explores the predictive value of clinical and socio-demographic characteristics for postoperative survival in stage III colorectal cancer (CRC) patients and develops a 5-year postoperative survival prediction model using machine learning algorithms.MethodsData from 13,855 stage III CRC patients who underwent surgery were extracted from the SEER database. …”
Get full text

PV2P: Program Visualization and Pair Programming to Improve Students Understanding of Python Programming by Syahrul Affendi Abdul Rahman

Get full text

Technological solutions in food production in the context of ensuring their quality and safety by A. Y. Volkov, L. A. Donskova, V. V. Kotkova

“…Various authors have conducted research and collected evidential basis on the suitability of this processing method to increase shelf life. …”
Get full text

In situ stress prediction model in complex geology: A hybrid GA-ANN with nonlinear boundary condition by Peng Rong, Yujun Zuo, Jianyun Lin, Lujing Zheng, Chao Pan, Wenjibin Sun, Qinggang Chen, Bin Chen

“…It employs a hybrid approach integrating machine learning, numerical simulations, and field experiments to develop an optimization algorithm for nonlinear prediction of the complex three-dimensional (3D) in situ stress fields. …”
Get full text

Dynamics of link formation in networks structured on the basis of predictive terms by S. O. Kramarov, O. R. Popov, I. E. Dzhariev, E. A. Petrov

“…Thus, the object of the study comprises international information networks structured on the basis of dictionaries of model predictive terms thematically related to cutting-edge information technologies.Methods. An algorithmic approach is applied to establish the sequence of combining the necessary operations for automated processing of textual information by the internal algorithms of specialized databases, software environments and shells providing for their integration during data transmission. …”
Get full text

Team Recruitment of Collaborative Crowdsensing: A Graph-Based Approach by Hui Liu, Xiaowan Li, Chuang Zhang, Xiaodong Chen, Weipeng Tai

“…Furthermore, an enhanced Prim algorithm is utilized to select efficient users. To address the issue of recruiting new users lacking prior knowledge, an improved UCB algorithm is introduced on top of the proposed team recruitment mechanism. …”
Get full text

Comparison of Univariate and Multivariate Applications of GBLUP and Artificial Neural Network for Genomic Prediction of Growth and Carcass Traits in the Brangus Heifer Population by Sunday O. Peters, Kadir Kızılkaya, Mahmut Sinecen, Milt G. Thomas

“…Data for growth (birth, weaning and yearling weights) and carcass (longissimus muscle area, intramuscular fat percentage and depth of rib fat) traits and 50K SNP marker data to calculate the genomic relationship matrix were collected from 738 Brangus heifers. Univariate and multivariate genomic best linear unbiased prediction models based on the genomic relationship matrix and univariate and multivariate artificial neural networks models with 1 to 10 neurons, as well as the learning algorithms of Bayesian Regularization, Levenberg–Marquardt and Scaled Conjugate Gradient and transfer function combinations of tangent sigmoid–linear and linear–linear in the hidden-output layers, including the inputs from genomic relationship matrix, were created and applied for the analysis of growth and carcass data. …”
Get full text

Proposing a framework for body mass prediction with point clouds: A study applied in typical swine pen environments by Gabriel Pagin, Luciane Silva Martello, Rubens André Tabile, Rafael Vieira de Sousa

“…In this context, the main objective of this research is to investigate a novel framework comprising effective algorithms for feature extraction, attribute selection, hyperparameter optimization, and prediction modelling, using point clouds collected from production animals (growing and finishing pigs). …”
Get full text