Random forest and decision tree algorithms for car price prediction

PH Putra, A Azanuddin, B Purba… - … Matematika Dan Ilmu …, 2024 - lldikti1.kemdikbud.go.id
At this time in the era of cars that use renewable energy fuels such as electric cars which are
highly supported by the government so that it has an impact on used cars based on these …

2020 forest age map for China with 30 m resolution

K Cheng, Y Chen, T Xiang, H Yang… - Earth System …, 2023 - essd.copernicus.org
A spatially explicit, high-resolution forest age map is critical for quantifying forest carbon
stock and carbon sequestration potential. Previous endeavours to estimate forest age in …

Deep learning methods for data science

K Indira, KK Dutta, S Poornima… - … Analytics and Deep …, 2022 - Wiley Online Library
Deep learning network (DLN) is defined as the neural network characterized by complex
connected layers to handle a large volume of data, automatic extraction of features, and …

Aplikasi Klasifikasi Huruf Hijaiyah Menggunakan Algoritma Convolutional Neural Network dan Random Forest

FD Puspitasari, S Anardani - Prosiding Seminar Nasional …, 2024 - prosiding.unipma.ac.id
Penelitian ini bertujuan untuk menerapkan algoritma Convolutional Neural Network (CNN)
dan Random Forest (RF) pada sistem klasifikasi huruf Arab. Sistem dibangun menggunakan …

A code-diverse kannada-english dataset for nlp based sentiment analysis applications

P Kannadaguli - 2021 Sixth International Conference on Image …, 2021 - ieeexplore.ieee.org
Due to expanded praxis of social media, there is an elevated interest in the Natural
Language Processing (NLP) of textual substance. Code swapping is a ubiquitous paradox …

Lesion Feature Extraction and Classification Optimization Method Using Dynamic Fusion of Global Attention and Local Attention

X Cui, H Jiang, Y Zhou, X Han, X Li… - 2024 International Joint …, 2024 - ieeexplore.ieee.org
In tumor diagnosis, due to subtle differences in the imaging appearance of different
diseases, accurately classifying lesions based on solely imaging data proves challenging …

OCR of Kannada Characters Using Deep Learning

A Kashyap - 2022 Trends in Electrical, Electronics, Computer …, 2022 - ieeexplore.ieee.org
Kannada, A dravidian language of south India that consists of kannada numerals from 0 to 9
and 49 letters that are further classified into swara, vyanjana and yogavahagalu. The task …

Comparative Analysis of the Performance of Decision Tree and Random Forest Algorithms in SQL Injection Attack Detection

AB Aulianoor, M Koprawi - Journal of Applied Informatics …, 2024 - jurnal.polibatam.ac.id
This study compares the performance of two machine learning algorithms the Decision Tree
and Random Forest. SQL Injection attacks continue to threaten web applications because …

A Deep Learning Approach for Kannada Handwritten Character Recognition

UK Samarth, S Joshi, S Chikkamath… - 2024 5th …, 2024 - ieeexplore.ieee.org
Handwritten character recognition is a crucial process that involves converting handwritten
text on different surfaces, such as paper and postcards, into digital formats, making it …

Siamese neural networks for Kannada handwritten dataset

S Tejas, KK Dutta - 2022 IEEE 3rd Global Conference for …, 2022 - ieeexplore.ieee.org
With the increasing usage of Artificial intelligence (AI), many research challenges can be
easily addressed and one such challenge is Handwritten character recognition. Kannada is …