Early screening of autism spectrum disorder diagnoses of children using artificial intelligence

H Alkahtani, THH Aldhyani… - Journal of Disability …, 2023 - scienceopen.com
In today's society, with fast-growing case rates, medical expenditures, social implications,
and lengthy waiting periods after the first screening, there is a need for early screening that …

Machine Learning Based Fault Classification in Pilot Plant Batch 2 Reactor: Using Support Vector Machine

A Simiyon, C Sachidanand… - ACS …, 2024 - ACS Publications
Identifying and diagnosing faults is a critical task in process industries to maintain effective
monitoring of process and plant safety. Minimizing process downtime is critical for …

Bi-SMOTE: a novel framework for handling imbalanced datasets using machine learning techniques

O Tigga, J Pal, D Mustafi - International Journal of Information Technology, 2024 - Springer
Working with Imbalance data in real-world problems is not so easy due to the different
cardinality of classes. Several machine learning Techniques have been used to overcome …

Comparison of naïve bayes and support vector machine methods for jkt48 music video comment classification

AA Aziz, R Rofik - Journal of Student Research Exploration, 2025 - shmpublisher.com
The research was conducted to discuss the classification of comments on music video
JKT48" Magic Hour" in YouTube using method Naive Bayes Classifier (NBC) and Support …

Development and evaluation of a network intrusion detection system for DDoS attack detection using machine learning

B Ramachandra, TP Surekha - Bulletin of Electrical Engineering and …, 2024 - beei.org
Distributed denial of service (DDoS) attacks involves disrupting a target system by flooding it
with an immense volume of traffic originating from numerous sources. These attacks can …

Increasing Accuracy in Predicting Student Test Scores with Regression Using Domain Reduction Technique of Principal Component Analysis

ND Pahnehkolaee, S Littlejohn… - 2023 IEEE Frontiers …, 2023 - ieeexplore.ieee.org
It is difficult to predict student test scores and a number of algorithms are often used for such
prediction indicating the importance of such research. To improve the accuracy of predicting …

Predicting Average Tomato Prices Using Support Vector Machine with Polynomial Features

RK Pongiannan, S Agrawal, S Banerjee… - 2023 International …, 2023 - ieeexplore.ieee.org
Every economy depends on agriculture, and research in this area is primarily focused on
boosting food supply and quality while minimizing costs and maximizing profit. Numerous …

Identifying Key Learning Algorithm Parameter of Forward Feature Selection to Integrate with Ensemble Learning for Customer Churn Prediction

S Tasneem, M Younas, Q Shafiq - VFAST Transactions on Software …, 2024 - vfast.org
The Telecommunication has been facing fierce growth of customer data and competition in
the market for a couple of decades. Due to this situation, an analytical strategy of proactive …

Optimizing Healthcare Insights: Unstructured Healthcare Data Analysis with Hybrid Models

MM Alam - 2024 - researchsquare.com
The healthcare industry has witnessed an unprecedented integration of unstructured data
from diverse sources including medical images, clinical notes, patient records, etc …

Self-supervised learning for histological image representation

A Manninen - 2023 - aaltodoc.aalto.fi
Histopathology is a field of science that traditionally examines tissue samples under a
microscope. However, the traditional method of using a microscope is rather time …