Early Detection for Determinant Factor of National Health Insurance Membership for Workers in Central Java Using C4.5 Algorithm by Aprianti Aprianti, Sifai Izzatul Alifah, Nurjanah Nurjanah, Ratna Wulan Widya, Ratnawati Juli, Ahsan Abdillah

“…A survey of 451 tobacco workers in Central Java found that 55.2% did not have health insurance. This research aims to apply the C4.5 algorithm for the early detection of determinant factors of national health insurance membership for workers in Central Java. …”
Get full text

Assessment of groundwater resources from geophysical and remote sensing data in a basement complex environment using fuzzy-topsis algorithm by Kola Abdul-Nafiu Adiat, Abdulgafar Opeyemi Kolawole, Igbagbo Adedotun Adeyemo, Ayokunle Adewale Akinlalu, Daniel Oluwafunmilade Afolabi

“…These factors were integrated using the FTOPSIS algorithm. This algorithm facilitated the calculation of the groundwater potential indices by assigning weights based on their level of significance to influencing groundwater potential in order to generate the groundwater potential map (GPM). …”
Get full text

Mapping groundwater potential zone by robust machine learning algorithms & remote sensing techniques in agriculture dominated area, Bangladesh by M. M. Shah Porun Rana, Muhammad Tauhidur Rahman, Md Fuad Hassan

“…The enhancement of human accessibility to sufficient quantities and high-quality groundwater resources is one of the major goals of this research. Several machine learning algorithms and analytical hierarchy process (AHP) models along with geographic information systems (GIS) software integrate sixteen thematic layers, including elevation, slope, soil types, topographic wetness index (TWI), normalized difference water index (NDWI), normalized difference vegetation index (NDVI), curvature, soil permeability, physiography, topographic position index (TPI), terrain roughness index (TRI), stream power index (SPI), distance from river, rainfall, drainage density, and land use land cover (LULC) to create a groundwater potential zone map. …”
Get full text

A comparative study of four deep learning algorithms for predicting tree stem radius measured by dendrometer: A case study by Guilherme Cassales, Serajis Salekin, Nick Lim, Dean Meason, Albert Bifet, Bernhard Pfahringer, Eibe Frank

Get full text

A hybrid recommendation system for Chinese character components using a dual-tower neural network and a deterministic algorithm by Shaoqing Yang

Get full text

Single Cell Transcriptomics Genomics Based on Machine Learning Algorithm: Constructing and Validating Neutrophil Extracellular Trap Gene Model in COPD by Yu J, Xiao T, Pan Y, He Y, Tan J

“…Jia Yu,1,* Tiantian Xiao,1,* Yun Pan,2,* Yangshen He,1 Jiaxiong Tan3 1Department of Internal Medicine, Dongguan Hospital of Integrated Chinese and Western Medicine, Dongguan, Guangdong Province, People’s Republic of China; 2Department of Infectious Disease, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, People’s Republic of China; 3Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yangshen He, Dongguan Hospital of Integrated Chinese and Western Medicine, Dongguan, Guangdong Province, 523000, People’s Republic of China, Email 13713193315@163.com Jiaxiong Tan, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, 300202, People’s Republic of China, Email gdydtjx@163.comBackground: Neutrophil trap (NET) is an important feature of chronic inflammatory diseases. …”
Get full text

A non-dominated sorting based multi-objective neural network algorithm of ethylene glycol hydrogenation reactor in energy reduction by Fakhrony Sholahudin Rohman, Sharifah Rafidah Wan Alwi, Dinie Muhammad, Muhamad Nazri Murat, Ashraf Azmi

Get full text

Empowering Portable Age-Related Macular Degeneration Screening: Evaluation of a Deep Learning Algorithm for a Smartphone Fundus Camera by Ashish Sharma, Taraprasad Das, Bryan Ong, Florian Mickael Savoy, Divya Parthasarathy Rao, Jun Kai Toh, Anand Sivaraman

“…Objectives Despite global research on early detection of age-related macular degeneration (AMD), not enough is being done for large-scale screening. …”
Get full text

Elevating metaverse virtual reality experiences through network‐integrated neuro‐fuzzy emotion recognition and adaptive content generation algorithms by Oshamah Ibrahim Khalaf, Dhamodharan Srinivasan, Sameer Algburi, Jeevanantham Vellaichamy, Dhanasekaran Selvaraj, Mhd Saeed Sharif, Wael Elmedany

“…An inventive method that combines natural language processing adaptive content generation algorithms and neuro‐fuzzy‐based support vector machines natural language processing (SVM‐NLP) is proposed by researchers to meet this demand. …”
Get full text

Enabling Predication of the Deep Learning Algorithms for Low-Dose CT Scan Image Denoising Models: A Systematic Literature Review by Muhammad Zubair, Helmi B. Md Rais, Fasee Ullah, Qasem Al-Tashi, Muhammad Faheem, Arfat Ahmad Khan

“…In this study, a comprehensive Systematic Literature Review (SLR) following PRISMA guidelines was conducted to explore the latest advancements in deep learning algorithms for LDCT image denoising. This SLR spans LDCT image-denoising research from 2018 to 2024, providing a detailed summary of methodologies, benefits, limitations, parameters, and trends. …”
Get full text

Skeletal Muscle Segmentation at the Level of the Third Lumbar Vertebra (L3) in Low-Dose Computed Tomography: A Lightweight Algorithm by Xuzhi Zhao, Yi Du, Haizhen Yue

Get full text

Validation of a data-driven motion-compensated PET brain image reconstruction algorithm in clinical patients using four radiotracers by Ole L. Munk, Anders B. Rodell, Patricia B. Danielsen, Josefine R. Madsen, Mie T. Sørensen, Niels Okkels, Jacob Horsager, Katrine B. Andersen, Per Borghammer, Joel Aanerud, Judson Jones, Inki Hong, Sven Zuehlsdorff

“…Within the clinical cohort, where standard images were deemed suboptimal or non-diagnostic, all MoCo images were classified as having acceptable diagnostic quality. In the research cohort, MoCo images consistently matched or surpassed the standard image quality even in cases with minimal head movement, and the MoCo algorithm never led to degraded image quality. …”
Get full text

Integration of ground-based and remote sensing data with deep learning algorithms for mapping habitats in Natura 2000 protected oak forests by Lucia Čahojová, Ivan Jarolímek, Barbora Klímová, Michal Kollár, Michaela Michalková, Karol Mikula, Aneta A. Ožvat, Denisa Slabejová, Mária Šibíková

“…A dataset was selected for the training of a deep learning algorithm called the Natural Numerical Network on the basis of the analysis results. …”
Get full text

A Classification and Novel Class Detection Algorithm for Concept Drift Data Stream Based on the Cohesiveness and Separation Index of Mahalanobis Distance by Xiangjun Li, Yong Zhou, Ziyan Jin, Peng Yu, Shun Zhou

“…Data stream mining has become a research hotspot in data mining and has attracted the attention of many scholars. …”
Get full text

A Tutorial and Use Case Example of the eXtreme Gradient Boosting (XGBoost) Artificial Intelligence Algorithm for Drug Development Applications by Matthew Wiens, Alissa Verone‐Boyle, Nick Henscheid, Jagdeep T. Podichetty, Jackson Burton

Get full text

Features of the Diagnosis of Intraductal Breast Diseases in Adolescent Girls Through the Example of Clinical Cases. The Algorithm of Examination And Treatment of Pathologies in Ado... by M. L. Travina, A. G. Popov

“…The algorithms of examination and patient surveillance with intraductal pathology are described.…”
Get full text

An energy-efficient routing protocol for wireless body area networks using hybrid artificial bee colony optimization and chicken swarm optimization algorithm by A. Dinesh, J. Rangaraj

“…To begin, this work presents an efficient algorithm named “Artificial Bee Colony Optimization (ABC) and Chicken Swarm Optimization (CSO) algorithm” to create hybrid trees for data aggregation in networks. …”
Get full text

3D Deployment Optimization of Wireless Sensor Networks for Heterogeneous Functional Nodes by Zean Lu, Chengqun Wang, Peng Wang, Weiqiang Xu

“…The optimization of wireless sensor network (WSN) deployment is a current research hotspot, particularly significant in industrial applications. …”
Get full text

Unmanned trackless rubber wheeler based on LD improved Cartographer mapping algorithm underground SLAM autonomous navigation method and test by Fangwei LI, Jiusheng BAO, Chen WANG, Xiaoming YUAN, Yan YIN, Shirong GE, Maosen WANG, Yuhan LV

“…In order to solve this problem, it is necessary to research and develop efficient and accurate mapping algorithms to support the safety and reliability of unmanned underground operation. …”
Get full text

n-FFT COMPRESSED SENSING ALGORITHM OF SMART DIMENSIONALITY REDUCTION METHOD AND ITS APPLICATION IN FEATURE EXTRACTION AND CLASSIFICATION OF GEAR SYSTEM by CHEN Xiao, HUANG ChuanJin

“…For the advantages of computation speed,features and stability of FFT algorithm,the secondary FFT,third FFT algorithm,n-FFT algorithm（ 2 npoints less than the signal sample points） were discussed in theory and research,the theory was explored and verified by experiment signals. …”
Get full text