The Algorithm of Treatment Tactics for Patients with Tumor Obstruction of Extrahepatic Bile Ducts by Dutka Ya.

“…To work out an effective algorithm for treating the patients with pulmonary embolism taking into account age and general condition, localization, distribution and stage of the tumor process. …”
Get full text

Prediction of growth and feed efficiency in mink using machine learning algorithms by A. Shirzadifar, G. Manafiazar, P. Davoudi, D. Do, G. Hu, Y. Miar

“…Measuring individual daily feed intake and BW is time-consuming, labor-intensive, and stressful for the animals and mink producers. The main objectives of this study were to (1) evaluate the application of machine learning (ML) algorithms to predict the average daily gain (ADG), feed conversion ratio (FCR), and residual feed intake (RFI) values during the whole growing and furring period (15 weeks from August 1st to November 14th) using less expensive features such as sex, color type, age, BW and length; (2) find the most significant contributing feature within the growth and furring period to predict the ADG, FCR and RFI. …”
Get full text

Crop Type Classification by DESIS Hyperspectral Imagery and Machine Learning Algorithms by Nizom Farmonov, Khilola Amankulova, Jozsef Szatmari, Alireza Sharifi, Dariush Abbasi-Moghadam, Seyed Mahdi Mirhoseini Nejad, Laszlo Mucsi

“…However, precise and continuous spectral signatures, important for large-area crop growth monitoring and early prediction of yield production with cutting-edge algorithms, can be only provided via hyperspectral imaging. …”
Get full text

Normalized Intrinsic Deep Features Based Zero-Watermarking Scheme for Remote Sensing Images Using U-Net and K-Means by Jie Zhang, Xu Xi, Jinglong Du, Xin He, Mingkang Wu, Yi Wei

“…To address the issue, a novel zero-watermarking algorithm based on U-Net and K-means is proposed. The algorithm employs a neural network to extract intrinsic deep features from remote sensing images to construct zero-watermarks, thereby enhancing the algorithm’s security while ensuring adaptability to different types of remote sensing images. …”
Get full text

Low error floor LT coding algorithm for unequal error protection by Xin SONG, Shuyan NI, Zhe ZHANG, Yurong LIAO, Tuofeng LEI

“…Conclusions: In this paper, a systematic unequal error protection LT coding scheme is designed, and a check degree distribution design model suitable for this scheme is constructed to solve the problem of high error floor existing in the conventional UEP-LT algorithm in the AWGN channel.The main idea of this scheme is to design fixed coding segments,rateless coding segments and systematic node segments and transmit them in sequence.The advantage of this scheme is that it can provide non-zero LLR information as early as possible for information nodes, and make the MIB and the LIB obtain different and flexibly adjustable average degrees.In addition,based on the extrinsic information transfer(EXIT)chart,the check degree distribution is designed for the fixed segment and the rateless segment,so that the MIB can obtain the optimal protection performance,and the convergence performance of the LIB can be improved as much as possible. …”
Get full text

Research on short-term traffic flow prediction based on the PCC-IGA-LSTM model by Junxi Zhang, Shiru Qu, Yang Bi, Lijing Ma

Subjects: Get full text

Algorithm of reconstruction combined midface defects after resection malignant tumors by M. V. Bolotin, A. M. Mudunov, V. Yu. Sobolevsky, V. I. Sokorutov

“…The purpose of reconstruction is not only the elimination of cosmetic deformity, but also the restoration of such vital functions as breathing, swallowing, speech and binocular vision. Till that time, no algorithm has been developed for choosing a method for the reconstruction and there is no comparative analysis of the available methods.The study objective is to improve the functional and aesthetic results of treatment patients with malignant tumors of the upper jaw and midface.Materials and methods. …”
Get full text

Peningkatan Akurasi Metode Weighted Fuzzy Time Series Forecasting Menggunakan Algoritma Evolusi Differensial dan Fuzzy C-Means by Agus Fachrur Rozy, Solimun Solimun, Ni Wayan Surya Wardhani

“…This transformation process involves multiplying the weights obtained from the Fuzzy C-Means estimation with the mid-point values of each cluster.The optimization process is performed using the DE algorithm. …”
Get full text

GPR Diffraction Separation by Incorporating Multilevel Wavelet Transform and Multiple Singular Spectrum Analysis by Haolin Wang, Honghua Wang, Zhiyang Hou, Fei Zhou

Subjects: Get full text

Evaluation method for gas pre-extraction status in coal seam boreholes based on semi-supervised learning by YAN Li, WEN Hu, WANG Zhenping, JIN Yongfei

Subjects: Get full text

Application of DBN deep learning algorithm in anti stealing electricity system by Dandan LI, Bingyu GE, Wenwen HUANG, Lei XIE, Shengqi QIAN

“…With the development of economy,the electric power demand increases gradually,but because of the relative backwardness in the automation of electricity,the phenomenon of electric stealing is common.But the traditional anti electric stealing means generally centered around how to strengthen the technical transformation of the electric energy metering device,and the management efficiency is low.The purpose of deep learning is to use the method of constructing the multi-layer neural network model.To learn the potential features of image,text,voice and other data,it also has good effect on the classification problem.The successful application of the deep learning algorithm in many complex fields provides a new effective way to solve the problem of anti stealing electricity.The structure and learning algorithm of DBN and the anti-stealing model based on DBN algorithm was mainly introduced.Finally,experiments were carried out and the results were analyzed.…”
Get full text

Automatic Detection of Urban Trees from LiDAR Data Using DBSCAN and Mean Shift Clustering Methods in Fatih, Istanbul by Z. Cetin, N. Yastikli

“…Noise points, which did not correspond to urban trees within the high vegetation class, were removed using the machine learning-based Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm. The remaining high vegetation points were subsequently segmented using the machine learning-based Mean Shift clustering algorithm to obtain individual tree crowns. …”
Get full text

A Heuristic Approach to Competitive Facility Location via Multi-View K-Means Clustering with Co-Regularization and Customer Behavior by Thanathorn Phoka, Praeploy Poonprapan, Pornpimon Boriwan

“…This study presents a novel heuristic framework that integrates multi-view K-means clustering with customer behavior modeling reinforced by a co-regularization mechanism to align clustering results across heterogeneous data views. …”
Get full text

Optimization of Transformer Windings Based on FEA-XGBoost and NSGA-III Algorithm by Shi Bai-di, Jiang Yong-feng, Shang Jing-yu, Bao Ye-feng, Chen Bing-yan, Yang Ke

“…Generally, leakage impedance is mainly decided by the design parameters of the windings, both analytically and numerically. …”
Get full text

SYNTHESIS OF VIRTUAL ENTERPRISE BASED ON COMBINATION OF WEB-SERVICES AND THE ALGORITHM OF DELIVERY by Victor P. Romanov, Aleksandra O. Varfolomeeva

“…The authors propose to use the theory of formal grammar as a means of supporting the automated composition of services of virtual enterprise based on algorithms of intellectual planning.…”
Get full text

Optimization algorithms for multivariate sampling reduction using spatial-temporal data by Tamara Cantú Maltauro, Luciana Pagliosa Carvalho Guedes, Miguel Angel Uribe-Opazo

Get full text

A Fast Hybrid Classification Algorithm with Feature Reduction for Medical Images by Hanan Ahmed Hosni Mahmoud, Abeer Abdulaziz AlArfaj, Alaaeldin M. Hafez

“…We incorporated the quantum-based grasshopper computing algorithm (QGH) with feature extraction using fuzzy clustering technique (C-means). …”
Get full text

Approximation Analysis of Learning Algorithms for Support Vector Regression and Quantile Regression by Dao-Hong Xiang, Ting Hu, Ding-Xuan Zhou

“…Approximation analysis is conducted for these algorithms by means of a variance-expectation bound when a noise condition is satisfied for the underlying probability measure. …”
Get full text

The simplest signal detection algorithms of transition process of tension in power lines by S. I. Novikov, I. L. Kuz'min, R. G. Khuzyashev

“…In paper the algorithm of registration of a signal of transition process which is given rise both by single-phase short circuit on the earth and is described by normal switching processes. …”
Get full text

Dataset creation of thermal images of pomegranate for internal defect detectionMendeley Data by Ashvini Gaikwad, Manoj Deshpande, Varsha Bhole

“…This information is useful for training a machine learning algorithms that are intended for bulk processing in the field of fruit defect detection and classification.…”
Get full text