The state of AI-empowered backscatter communications: A comprehensive survey

F Xu, T Hussain, M Ahmed, K Ali… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) is undergoing significant advancements, driven by the
emergence of backscatter communication (BC) and artificial intelligence (AI). BC is an …

[HTML][HTML] Locating and deploying essential goods and equipment in disasters using AI-enabled approaches: A systematic literature review

S Farazmehr, Y Wu - Progress in Disaster Science, 2023 - Elsevier
Locating, routing and deploying essential goods and equipment are proactive disaster
management strategies which received attention during recent decades. Many artificial …

Analisis Sentimen Tweet Vaksin COVID-19 Menggunakan Recurrent Neural Network dan Naïve Bayes

M Lestandy, A Abdurrahim, L Syafa'ah - Jurnal RESTI (Rekayasa …, 2021 - jurnal.iaii.or.id
COVID-19 has become a global pandemic including Indonesia, so the government is taking
vaccinations as a preventive measure. The public's response to this continues to appear on …

Detection of geochemical anomalies related to mineralization using the Random Forest model optimized by the Competitive Mechanism and Beetle Antennae Search

M Cao, D Yin, Y Zhong, Y Lv, L Lu - Journal of Geochemical Exploration, 2023 - Elsevier
This study aimed to detect the geochemical anomalies related to Fe-mineralization in the
Hunjiang area in Jilin Province, China. For this purpose, a Random Forest model was …

Implementing ensemble learning models for the prediction of shear strength of soil

A Rabbani, P Samui, S Kumari - Asian Journal of Civil Engineering, 2023 - Springer
Precise estimation of the shear strength (SS) parameters of soil is one of the important
criteria in the geotechnical design process. The aim of this research is to find out the …

Machine learning in TCM with natural products and molecules: current status and future perspectives

S Ma, J Liu, W Li, Y Liu, X Hui, P Qu, Z Jiang, J Li… - Chinese medicine, 2023 - Springer
Traditional Chinese medicine (TCM) has been practiced for thousands of years with clinical
efficacy. Natural products and their effective agents such as artemisinin and paclitaxel have …

Multiclass classification of different glass types using random forest classifier

N Agarwal, R Srivastava, P Srivastava… - … and Control Systems …, 2022 - ieeexplore.ieee.org
Multiclass Classification is an inherent technique for any classification model, especially
pertaining to real-life scenarios. There are various scenarios in day-to-day life where we …

LASSO-based machine learning models for the prediction of central lymph node metastasis in clinically negative patients with papillary thyroid carcinoma

JW Feng, J Ye, GF Qi, LZ Hong, F Wang… - Frontiers in …, 2022 - frontiersin.org
Background The presence of central lymph node metastasis (CLNM) is crucial for surgical
decision-making in clinical N0 (cN0) papillary thyroid carcinoma (PTC) patients. We aimed …

Machine learning based gray-level co-occurrence matrix early warning system enables accurate detection of colorectal cancer pelvic bone metastases on MRI

J Jin, H Zhou, S Sun, Z Tian, H Ren, J Feng… - Frontiers in …, 2023 - frontiersin.org
Objective The mortality of colorectal cancer patients with pelvic bone metastasis is imminent,
and timely diagnosis and intervention to improve the prognosis is particularly important …

Land cover change detection using TIMESAT software and machine learning algorithms near Ujani Dam: A case study

M Kumawat, A Khaparde - Journal of Integrated Science and …, 2024 - pubs.thesciencein.org
This work focuses on the case study of vegetation dynamics using Machine Learning
algorithms on satellite time series data. Vegetation covers a substantial portion of the Earth's …