Different hybrid machine intelligence techniques for handling IoT‐based imbalanced data

G Mohindru, K Mondal, H Banka - CAAI Transactions on …, 2021 - Wiley Online Library
In the era of automatic task processing or designing complex algorithms, to analyse data, it
is always pertinent to find real‐life solutions using cutting‐edge tools and techniques to …

COVID‐19 Tweets Classification during Lockdown Period Using Machine Learning Classifiers

SA Jafar Zaidi, I Chatterjee… - … Intelligence and Soft …, 2022 - Wiley Online Library
In recent years, COVID‐19 has been regarded as the most dangerous pandemic for several
countries. On various social media platforms, such as Twitter, Facebook, and Instagram, a …

Machine Learning-Based Toxicological Modeling for Screening Environmental Obesogens

S Wu, L Wang, D Schlenk, J Liu - Environmental Science & …, 2024 - ACS Publications
The emerging presence of environmental obesogens, chemicals that disrupt energy balance
and contribute to adipogenesis and obesity, has become a major public health challenge …

[HTML][HTML] Selecting bloggers for hotels via an innovative mixed MCDM model

JF Tsai, CP Wang, KL Chang, YC Hu - Mathematics, 2021 - mdpi.com
The global coronavirus disease 2019 (COVID-19) outbreak had a great impact on the
tourism industry. Numerous hotels have ceased operations. Because of the increasing …

Research on imbalance machine learning methods for MRWI soft tissue sarcoma data

X Liu, L Guo, H Wang, J Guo, S Yang, L Duan - BMC Medical Imaging, 2022 - Springer
Background Soft tissue sarcoma is a rare and highly heterogeneous tumor in clinical
practice. Pathological grading of the soft tissue sarcoma is a key factor in patient prognosis …

Sistem Pakar untuk Mendeteksi Gejala Awal Penyakit Apendisitis dengan Metode Case Based Reasoning (CBR) Berbasis Mobile Android

C Nugroho, AD Wiranata… - Jurnal JTIK (Jurnal …, 2022 - journal.lembagakita.org
Appendicitis is caused by inflammation of the intestines (appenditis). The patient will feel
pain in the lower right abdomen. This study explores this with several references, by …

Graph matching based reasoner: A symbolic approach to question answering

J Han, H Wang - Engineering Applications of Artificial Intelligence, 2021 - Elsevier
Text understanding and reasoning are among the core areas of artificial intelligence. Even a
total solution to automatic text understanding and reasoning is still beyond the current …

Research on the intelligent design of office chair patterns

J Zhang, A Yin, G Chen, Y Li, Z Lu, B Wang - Applied Sciences, 2022 - mdpi.com
(1) Background: Personalized product customization is an important direction in the
development of the chair industry. This paper studies an intelligent design method for the …

Family expenditure and income analysis using machine learning algorithms

YB Sri, Y Sravani, YBS Surendra… - 2021 Second …, 2021 - ieeexplore.ieee.org
Expenditure analysis should be done by every household to manage all the expenses of the
family. Income prediction gives an overview of the income earned by the household to …

Comparative Analysis on Classification of Unstructured Text data and Specific Summarization

S Harisha, S Bhat - 2024 Second International Conference on …, 2024 - ieeexplore.ieee.org
Unstructured text data, prevalent in emails, social media posts, articles, and more, poses
unique challenges and opportunities for classification. This abstract delves into methods and …