Security and Privacy in E-Health Systems: A Review of AI and Machine Learning Techniques

M Nankya, A Mugisa, Y Usman, A Upadhyay… - IEEE …, 2024 - ieeexplore.ieee.org
The adoption of electronic health (e-health) systems has transformed healthcare delivery by
harnessing digital technologies to enhance patient care, optimize operations, and improve …

[PDF][PDF] Intelligent Methods and Models for Assessing Level of Student Adaptation to Online Learning.

V Teslyuk, A Doroshenko, D Savchuk - COLINS (1), 2023 - ceur-ws.org
The problem of introducing online learning is becoming more and more popular in our
society. Due to COVID-19 and the war in Ukraine, there is an urgent need for the transition of …

Data Sorting Influence on Short Text Manual Labeling Quality for Hierarchical Classification

O Narushynska, V Teslyuk, A Doroshenko… - Big Data and Cognitive …, 2024 - mdpi.com
The precise categorization of brief texts holds significant importance in various applications
within the ever-changing realm of artificial intelligence (AI) and natural language processing …

Design of Smart Farm Growth Information Management Model Based on Autonomous Sensors

YS Jeong - Journal of The Korea Society of Computer and …, 2023 - koreascience.kr
Smart farms are steadily increasing in research to minimize labor, energy, and quantity put
into crops as IoT technology and artificial intelligence technology are combined. However …

Prediction of the Occurrence of Threatening Conditions in Individuals as a Problem of Assigning an Object to a Class

O Mulesa, O Yatsyna, O Melnyk… - 2022 IEEE 17th …, 2022 - ieeexplore.ieee.org
The research studies the problem of predicting the appearance of depressive disorders in
individuals. A verbal and mathematical formulation of the task of assigning an object to a …

Emotion-Aware Multimodal Biometric Identification by Using Biosignals

YS Can, B Bektan, F Alagöz - 2024 9th International …, 2024 - ieeexplore.ieee.org
The advancement of biometric identification systems has become increasingly crucial in
modern applications, necessitating secure and user-friendly methods that adapt to evolving …

Machine Learning based Autonomous Farming System

MK Akash, AK Sayooj, G Ramesh… - … on Trends in …, 2022 - ieeexplore.ieee.org
It is a well-known fact that, Agriculture is considered as the backbone of every country
present across the globe. Being such a huge sector, farming requires a large amount of …

[PDF][PDF] JKSCI

SB Jeong, D Ko, J Seo, S Park, SJ Kim… - Journal of The Korea …, 2023 - koreascience.kr
This study was conducted with the purpose of suggesting alternatives for the efficient
operation of senior day care facilities in 22 cities and counties in the Jeonnam region by …

[PDF][PDF] Optimizing Phishing Threat Detection: A Comprehensive Study of Advanced Bagging Techniques and Optimization Algorithms in Machine Learning

SK Jawad, SH Alnajjar - Al-Iraqia Journal for Scientific Engineering …, 2024 - iasj.net
Bagging constitutes a prominent ensemble learning technique in contemporary machine
learning. With this process, various instances of the base model are trained using various …

Модель та засоби збирання та оброблення даних з використанням машинного навчання

ВВ Петрина, AВ Дорошенко… - … вісник НЛТУ України, 2023 - nv.nltu.edu.ua
Анотація Досліджено вплив ітеративного методу зважування даних респондентів на
підставі певних факторів на точність навчання моделі машинного навчання для …