Results 31 to 40 of about 358,286 (141)

CureIt – A Multidisease Predictive System using Machine Learning [PDF]

ITM Web of Conferences
Many contemporary machine learning approaches perform well in predictive analytics on large datasets from many sectors. While predictive analytics in healthcare remains an ambitious goal, it has the potential to enable healthcare practitioners to make ...
Mehta Apoorva S., Raval Jinit S., Chaudhari Rupal R.   +2 more
doaj   +1 more source

Application of machine learning methods on investigation the effect of interrupted deflector's height and downstream depth changes on energy dissipation at flip bucket spillways [PDF]

Journal of Hydraulic Structures
Flip bucket is a type of energy dissipator structure. Flip buckets can sometimes be improved by adding wedge-shaped deflectors. This research introduced the best height proportion of used deflector on the flip buckets to increase energy dissipation.
Arash Adib, Danial Ebrahimzadeh, Mahmood S. Bejestan, Morteza Lotfirad, Masoud Oulapour   +4 more
doaj   +1 more source

Analysis of Customer Churn in Telecommunication Industry with Machine Learning Methods

Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2023
In today's conditions, customer loyalty has gained importance with the increase in the competitive environment between companies, the development of marketing strategies and the improvement of companies.
Özge Nalan Bilişik, Damla Tuğba Sarp
doaj   +1 more source

Machine learning algorithm for improving performance on 3 AQ-screening classification

Communications in Science and Technology, 2019
Autism Spectrum Disorder (ASD) classification using machine learning can help parents, caregivers, psychiatrists, and patients to obtain the results of early detection of ASD.
Taftazani Ghazi Pratama, Rudy Hartanto, Noor Akhmad Setiawan   +2 more
doaj   +1 more source

RF transport

, 2011
8 pages, contribution to the CAS - CERN Accelerator School: Course on High Power Hadron Machines; 24 May - 2 Jun 2011, Bilbao ...
openaire   +3 more sources

Geo-spatial dynamics and machine learning insights: SVM and RF-driven land use and cover change detection in São Paulo, Brazil

Journal of Degraded and Mining Lands Management
A quantitative evaluation of land-use/land-cover (LULC) changes is required due to the rapid acceleration of LULC change in recent decades, which has been influenced by population growth, economic expansion, and industrial development, particularly in ...
G Lavanya, J Rajamurugadoss, V Sujatha, Muhammed Shameem Kachancheeri, SPM Kannan, Rupesh Gupta, Vivek Sivakumar   +6 more
doaj   +1 more source

Modeling the activity ratio of soil potassium using machine learning approach

Sains Tanah: Journal of Soil Science and Agroclimatology
The potassium (K) Quantity-Intensity (Q-I) relationship results in important parameters, including the activity ratio of potassium at equilibrium (AReK), which indicates potassium availability in soil.
Desi Nadalia, Arief Hartono, Heru Bagus Pulunggono, Bambang Hendro Trisasongko, Widiatmaka Widiatmaka, Muhammad Fuady Emzir   +5 more
doaj   +1 more source

Long-Term Effects of Articular and Extra-Articular Damage in Adult Patients with Juvenile Idiopathic Arthritis and Different Immunogenic Markers

Galician Medical Journal, 2017
To assess the long-term effects of juvenile idiopathic arthritis in adulthood, unified diagnostic methods for articular and extra-articular lesions should be used which depend on the juvenile idiopathic arthritis variants, the disease activity and ...
M. Dzhus, H. Mostbauer, T Karasevska, O. Ivashkivsky   +3 more
doaj   +1 more source

Helicon high-density plasma sources: physics and applications

Advances in Physics: X, 2018
Helicon high-density (up to ~1013 cm−3) plasma sources using a radio frequency wave in the presence of a magnetic field under a low pressure are very promising for various application fields owing to the flexibility of external operational parameters. In
Shunjiro Shinohara
doaj   +1 more source

Evaluating the potential of multi-view data extraction from small Unmanned Aerial Systems (UASs) for object-based classification for Wetland land covers

GIScience & Remote Sensing, 2019
Unmanned Aerial Systems (UASs) have the potential to provide multi-view data, but the approaches used to extract the multi-view data from UAS and investigation of their use in image classification are currently unavailable in publications to our best ...
Tao Liu, Amr Abd-Elrahman, Bon Dewitt, Scot Smith, Jon Morton, Victor L. Wilhelm   +5 more
doaj   +1 more source