Results 1 to 10 of about 237,663 (120)

An Intelligent Hybrid Scheme for Customer Churn Prediction Integrating Clustering and Classification Algorithms

Applied Sciences, 2022
Nowadays, customer churn has been reflected as one of the main concerns in the processes of the telecom sector, as it affects the revenue directly. Telecom companies are looking to design novel methods to identify the potential customer to churn.
Rencheng Liu, Saqib Ali, Syed Fakhar Bilal, Zareen Sakhawat, Azhar Imran, Abdullah Almuhaimeed, Abdulkareem Alzahrani, Guangmin Sun   +7 more
doaj   +1 more source

Improving Outcome Prediction for Traumatic Brain Injury From Imbalanced Datasets Using RUSBoosted Trees on Electroencephalography Spectral Power

IEEE Access, 2021
Reliable prediction of traumatic brain injury (TBI) outcomes based on machine learning (ML) that is derived from quantitative electroencephalography (EEG) features has renewed interest in recent years.
Nor Safira Elaina Mohd Noor, Haidi Ibrahim, Muhammad Hanif Che Lah, Jafri Malin Abdullah   +3 more
doaj   +1 more source

Histogram Entropy Representation and Prototype Based Machine Learning Approach for Malware Family Classification

IEEE Access, 2021
The number of malware has steadily increased as malware spread and evasion techniques have advanced. Machine learning has contributed to making malware analysis more efficient by detecting various behavioral and evasion patterns.
Byunghyun Baek, Seoungyul Euh, Dongheon Baek, Donghoon Kim, Doosung Hwang   +4 more
doaj   +1 more source

Modeling for Predicting the Potential Geographical Distribution of Three Ephedra Herbs in China

Plants, 2023
Ephedra species are beneficial for environmental protection in desert and grassland ecosystems. They have high ecological, medicinal, and economic value.
Longfei Guo, Yu Gao, Ping He, Yuan He, Fanyun Meng   +4 more
doaj   +1 more source

Sensing and classification of rice (Oryza sativa L.) drought stress levels based on chlorophyll fluorescence

Photosynthetica, 2022
Sensing and classification of drought stress levels are very important to agricultural production. In this work, rice drought stress levels were classified based on the commonly used chlorophyll a fluorescence (ChlF) parameter (Fv/Fm), feature data ...
Q. XIA, L.J. FU, H. TANG, L. SONG, J.L. TAN, Y. GUO   +5 more
doaj   +1 more source

Multi‐Hour‐Ahead Dst Index Prediction Using Multi‐Fidelity Boosted Neural Networks

Space Weather, 2023
The Disturbance storm time (Dst) index has been widely used as a proxy for the ring current intensity, and therefore as a measure of geomagnetic activity.
A. Hu, E. Camporeale, B. Swiger
doaj   +1 more source

Estimating the Dissolution of Anticancer Drugs in Supercritical Carbon Dioxide with a Stacked Machine Learning Model

Pharmaceutics, 2022
Synthesizing micro-/nano-sized pharmaceutical compounds with an appropriate size distribution is a method often followed to enhance drug delivery and reduce side effects.
Maryam Najmi, Mohamed Arselene Ayari, Hamidreza Sadeghsalehi, Behzad Vaferi, Amith Khandakar, Muhammad E. H. Chowdhury, Tawsifur Rahman, Zanko Hassan Jawhar   +7 more
doaj   +1 more source

Predicting the Distribution of Artemisia Sieberi Besser under Climate Change in the Steppe and Semi-Steppe of Iran-Touranian Region [PDF]

مدیریت بیابان, 2019
Understanding the effect of climate change on distribution of plant species is essential for sustainable management and conservation of rangelands, especially in arid and semi-arid ecosystems which are vulnerable to desertification, because of their ...
Mohaddeseh Amiri, Mostafa Tarkesh, reza jafari   +2 more
doaj   +1 more source

Predicting the potential geographical distribution of Ageratina adenophora in China using equilibrium occurrence data and ensemble model

Frontiers in Ecology and Evolution, 2022
Invasive alien plants (IAPs) pose a significant threat to the ecological environment and agricultural production in China. Ageratina adenophora is one of the most aggressive IAPs in China and poses serious ecological and socioeconomic threats. Estimating
Xiaoqing Xian, Haoxiang Zhao, Rui Wang, Hongbin Zhang, Baoxiong Chen, Hongkun Huang, Wanxue Liu, Fanghao Wan   +7 more
doaj   +1 more source

Evolving Ensemble Models for Image Segmentation Using Enhanced Particle Swarm Optimization

IEEE Access, 2019
In this paper, we propose particle swarm optimization (PSO)-enhanced ensemble deep neural networks and hybrid clustering models for skin lesion segmentation.
Teck Yan Tan, Li Zhang, Chee Peng Lim, Ben Fielding, Yonghong Yu, Emma Anderson   +5 more
doaj   +1 more source