过去一年中添加的文章,按日期排序

[HTML][HTML] Efficientand Robust Automated Segmentation of Nanoparticles and Aggregates from Transmission Electron Microscopy Images with Highly Complex …

L Zhou, H Wen, IC Kuschnerus, SLY Chang - Nanomaterials, 2024 - mdpi.com
3 天前 - … analysis using machine learning methods, reliable and automated nanoparticle …
automated nanoparticle image segmentation method suitable for subsequent machine learning

Navigating the digital frontier: transformative technologies reshaping public administration

M Damar, Ö Aydın, M Nihal Cagle, E Özoğuz… - EDPACS, 2024 - Taylor & Francis
3 天前 - … , digital twins, robotic process automation, augmented reality, … such as artificial
intelligence and machine learning (… , digital twins, robotic automation, and augmented reality are …

Enhancing Autonomous Vehicle Safety: A Statistical Approach to Real-Time Anomaly Detection in Autonomous Vehicles

P Pradeeba - 2024 - sae.org
3 天前 - … : A Statistical Approach to Real-Time Anomaly Detection in Autonomous Vehicles
In 2022, Automakers reported approximately 400 crashes of vehicles with partially automated

Evaluation of automated Arabic summaries generated with the AI tool ChatGPT using textual linguistics

MM Elsayed Amin - مجلة البحث العلمي في الآداب, 2024‎ - jssa.journals.ekb.eg
3 天前 - … to evaluate the automated summary (used by artificial intelligence) of Arabic texts,
by … automated summaries of texts from various fields, generated by the artificial intelligence

Interactive search-based Product Line Architecture design

WM Freire, CT Rosa, AMMM Amaral… - Automated Software …, 2024 - Springer
3 天前 - Software Product Line (SPL) is an approach derived from other engineering fields
that use reuse techniques for a family of products in a given domain. An essential artifact of …

A hybrid machine learning framework for intrusion detection system in smart cities

KS Gill, A Dhillon - Evolving Systems, 2024 - Springer
3 天前 - … of Things (IoT), artificial intelligence (AI), and data … Machine learning (ML) techniques
have emerged as a promising approach to enhance IDS performance by automating the …

[HTML][HTML] Material classification via embedded RF antenna array and machine learning for intelligent mobile robots

NS Ahmad, P Goh - Alexandria Engineering Journal, 2024 - Elsevier
3 天前 - … Such a system is well-suited for intelligent mobile robotic applications particularly
in warehouse automation or smart manufacturing lines due to its ability for proximal remote …

Artificial intelligence, machine learning, and mental healthcare: An introduction for mental health services and clinicians

K Mazzer, S Curll, D Hopkins, D Rickwood - osf.io
3 天前 - … We then describe how ML-driven tools have the potential to improve detection,
diagnosis, prognosis, and treatment of mental health problems, as well as automate clinical …

[HTML][HTML] Application of Advanced Deep Learning Models for Efficient Apple Defect Detection and Quality Grading in Agricultural Production

X Gao, S Li, X Su, Y Li, L Huang, W Tang, Y Zhang… - Agriculture, 2024 - mdpi.com
3 天前 - … and machine learning algorithms to enhance the automation … also highlight its
potential in automating the detection and … vision, machine learning and artificial intelligence have …

Classifying Endangered Species in High-Risk Areas Using Deep Learning

C Brito, A Engdahl, J Atkinson - … Other Applications of Applied Intelligent …, 2024 - Springer
3 天前 - … Accordingly, this research proposes an improved automated method for classifying
endangered animals using deep learning techniques (ie, Convolutional Neural Networks), …