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The pathway for creating and seeing a medical device to market is time-intensive,costly,and demanding[1,2].This is parti......
Three different structural engineering designs were investigated to determine optimum design variables,and then to estim......
Automated flowsheet synthesis is an important field in computer-aided process engineering.The present work demonstrates ......
Experimental Study on the Main Control Parameters Research on Algorithm for Vision Navigation Path R
An efficient method of vision navigation path recognition based on affine transformation for rape direct seeding machine......
Scientific literature often contains abbreviated terms in English for brief.Machine translation(MT)systems can help to s......
Development of a random forest model for hypotension prediction after anesthesia induction for cardi
BACKGROUND Hypotension after the induction of anesthesia is known to be associated with various adverse events.The invol......
Integrated computer-aided formulation design:A case study of andrographolide/cyclodextrin ternary fo
Current formulation development strongly relies on trial-and-error experiments in the laboratory by pharmaceutical scien......
BACKGROUND Traditional methods of developing predictive models in inflammatory bowel diseases(IBD)rely on using statisti......
Colorectal cancer(CRC)was the second-ranked worldwide type of cancer during 2020 due to the crude mortality rate of 12.0......
The Memorable Tourist Experience(MTE)is a scientific concept within the studies on tourism that is developed based on se......
The emerging push of the differentiable programming paradigm in scientific computing is conducive to training deep learn......
Development and Analysis of a Machine Learning Based Software for Assisting Online Classes during CO
<p align=“justify”> <span style=“font-family:Verdana;”>Amid the Covid-19 widespread, it has been challenging for edu......
High-Performance Chemical Information Database towards Accelerating Discovery of Metal-Organic Frame
Chemical structure searching based on databases and machine learning has at-tracted great attention recently for fast sc......
The DNA sequences of an organism play an important influence on its transcription and translation process, thus affectin......
The ability of machine learning techniques to make accurate predications is increasing. The aim of this work is to apply......
Traditional simulation methods have made prominent progress in aiding experiments for understanding thermal transport pr......
Suffering from the inefficient traditional trial-and-error methods and the huge searching space filled by millions of ca......
Determination of the feasible setup parameters of a workpiece to maximize the utilization of a five-
The machining industry must maximize the machine tool utilization for its efficient and effective usage. Determining a f......
Measuring vector boson scattering(VBS)precisely is an important step toward understanding the electroweak symmetry break......
<div style=“text-align:justify;”> Smart materials and structures, especially those bio-inspired, are often characteriz......
The task of using the machine learning to approximate the mapping x→Σi=1^d xi2with Xi∈[-1,1]seems to be a trivial one......
Recent trends in stem cell-based therapies and applications of artificial intelligence in regenerati
Stem cells are undifferentiated cells that can self-renew and differentiate into diverse types of mature and functional ......
LiDAR data are becoming increasingly available,which has opened up many new applications.One such application is crop ty......
In this paper, we explore the multi-classification problem of acupuncture acupoints bas</span><span><span style=“font-f......
Artificial intelligence and its primary subfield,machine learning,have started to gain widespread use in medicine,includ......
Spatial prediction and modeling of soil salinity using simple cokriging, artificial neural networks,
Soil salinization is one of the most predominant environmental hazards responsible for agricultural land degradation,esp......
Artificial intelligence and machine learning in orthopaedic surgery has gained mass interest over the last decade or so.......
Deep learning has been shown to be able to recognize data patterns better than humans in specific circumstances or conte......
Predicting metal-organic frameworks as catalysts to fix carbon dioxide to cyclic carbonate by machin
The process of discovering and developing new materials currently requires considerable effort,time,and expense.Machine ......
A recent systematic experimental characterisation of technological thin films,based on elaborated design of experiments ......
<strong>Purpose:</strong><span style=\"font-family:;\" \"=\"\"><span style=\"font-family:Verdana;\"> This ......
One of the major challenges that membrane manufacturers, commercial enterprises and the scientific community in the fiel......
Machine learning-assisted systematical polymerization planning:case studies on reversible-deactivati
The combined influence of chemical composition,molecular weight(MW)and molecular weight distribution(D)on the functions ......
Application of Biochemical Tests and Machine Learning Techniques to Diagnose and Evaluate Liver Dise
<b><span style=\"font-family:Verdana;\">Background: </span></b><span style=\"font-family:\"\"><span style=\"......
Field based index of flood vulnerability (IFV): A new validation technique for flood susceptible mod
The flood hazard management is one of the major challenges in the floodplain regions worldwide.With the rise in populati......
Multiscalar Geomorphometric Generalization for Soil-Landscape Modeling by Random Forest: A Case Stud
Multiscalar topography influence on soil distribution has a complex pattern that is related to overlay of pedological pr......
Non-occlusive mesenteric ischemia: Diagnostic challenges and perspectives in the era of artificial i
Acute mesenteric ischemia(AMI)is a severe condition associated with poor prognosis,ultimately leading to death due to mu......
Comparison of different sampling strategies for debris flow susceptibility mapping: A case study usi
The quality of debris flow susceptibility mapping varies with sampling strategies. This paper aims at comparing three sa......
The novel coronavirus outbreak was first reported in late December 2019 and more than 7 million people were infected wit......
Biomoleeule/Nanoparticle (NP) hybrid systems combine the unique electronic, optical and catalytic properties of NPs ......
Given a segment of a time series of a system at a particular set of parameter values, is it possible to infer the dynami......
Multi-View Point-Based Registration for Native Knee Kinematics Measurement with Feature Transfer Lea
Deep-learning methods provide a promising approach for measuring in-vivo knee joint motion from fast registration of two......
The plethora of complex Artificial Intelligence(AI)algorithms and available High-Performance Computing(HPC)power stimula......
In this paper,a new method for automatic classification of texts is presented.This system includes two phases;text pro......
In view of the shortage of traditional life prediction methods for machine tools,such as low accuracy of life prediction......
Tufting Carpet Machine Information Model Based on Object Linking and Embedding for Process Control U
In view of the lack of research on the information model of tufting carpet machine in China,an information modeling meth......
Production performance forecasting method based on multivariate time series and vector autoregressiv
A forecasting method of oil well production based on multivariate time series(MTS)and vector autoregressive(VAR)machine ......
锂离子电池材料技术发展缓慢,导致商用化锂离子电池能量密度的提升难度较大。移动互联网时代的到来,使得智能终端设备的外形向超薄......
EXACT BOUNDS OF THE MODIFIED LPT ALGORITHMS APPLYING TO PARALLEL MACHINES SCHEDULING WITH NONSIMULTA
ＥＸＡＣＴＢＯＵＮＤＳＯＦＴＨＥＭＯＤＩＦＩＥＤＬＰＴＡＬＧＯＲＩＴＨＭＳＡＰＰＬＹＩＮＧＴＯＰＡＲＡＬＬＥＬＭＡＣＨＩＮＥＳＳＣＨＥＤＵＬＩＮＧＷＩＴＨＮＯＮＳＩＭＵＬＴＡＮＥＯＵＳＭＡＣＨＩＮＥＡＶＡＩＬＡＢＬＥＴＩＭＥＳＬＩＮＧＵＯＨＵＩ，Ｈ.........
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In order to implement Prolog efficiently, Prolog-oriented processors and VLSI chips have been proposed and designed. How......
