An intelligent real-time object detection system on drones

C Chen, H Min, Y Peng, Y Yang, Z Wang - Applied Sciences, 2022 - mdpi.com
Drones have been widely used in everyday life and they can help deal with various tasks,
including photography, searching, and surveillance. Nonetheless, it is difficult for drones to …

On the Intersection of Signal Processing and Machine Learning: A Use Case-Driven Analysis Approach

S Aburakhia, A Shami, GK Karagiannidis - arXiv preprint arXiv:2403.17181, 2024 - arxiv.org
Recent advancements in sensing, measurement, and computing technologies have
significantly expanded the potential for signal-based applications, leveraging the synergy …

Classification of diabetes mellitus disease using machine learning

MA Mohamed, AB Nassif… - Smart Biomedical and …, 2022 - spiedigitallibrary.org
Diabetes mellitus, also known as just diabetes, is a medical condition marked by a high
blood sugar level over long period of time. If diabetes left untreated it can result in damaging …

Методы машинного обучения в гуманитарных науках

БА Шпак, КА Дегтяренко, АА Шпак - Социология искусственного …, 2021 - elibrary.ru
Данная статья посвящена исследованию методов статистического анализа в области
гуманитарных наук. Рассмотрены базовые алгоритмы, применяемые для анализа …

[PDF][PDF] An automated essay evaluation system using natural language processing and sentiment analysis

VS Sadanand, KRR Guruvyas, PP Patil… - International Journal of …, 2022 - academia.edu
An automated essay evaluation system is a machine-based approach leveraging long short-
term memory (LSTM) model to award grades to essays written in English language. natural …

[PDF][PDF] Feature Selection with Optimal Variational Auto Encoder for Financial Crisis Prediction.

K Muthukumaran, K Hariharanath… - … Systems Science & …, 2023 - cdn.techscience.cn
Financial crisis prediction (FCP) received significant attention in the financial sector for
decision-making. Proper forecasting of the number of firms possible to fail is important to …

On Smart Geometric Non-Destructive Evaluation: Inspection Methods, Overview, and Challenges

A Jaber, S Sattarpanah Karganroudi, MS Meiabadi… - Materials, 2022 - mdpi.com
Inspection methods, also known as non-destructive evaluation (NDE), is a process for
inspecting materials, products, and facilities to identify flaws, imperfections, and malfunctions …

Artificial intelligence accelerators

A Mishra, P Yadav, S Kim - Artificial Intelligence and Hardware …, 2023 - Springer
Artificial intelligence (AI) algorithms are extremely computational-intensive on voluminous
data. AI accelerators are desired to satisfy their hardware demands. This chapter introduces …

[HTML][HTML] A comprehensive framework for explainable cluster analysis

M Alvarez-Garcia, R Ibar-Alonso, M Arenas-Parra - Information Sciences, 2024 - Elsevier
Abstract Machine learning has proven to be a powerful tool for knowledge extraction from
large data sets across different domains. Data quality and results interpretability are …

Predicting levels of prolonged grief disorder symptoms during the COVID-19 pandemic: An integrated approach of classical data exploration, predictive machine …

J Cherblanc, S Gaboury, J Maître, I Côté… - Journal of Affective …, 2024 - Elsevier
Abstract Background Prior studies on Prolonged Grief Disorder (PGD) primarily employed
classical approaches to link bereaved individuals' characteristics with PGD symptom levels …