过去一年中添加的文章，按日期排序
Analysing e-commerce transformation: A study on AI-based consumer behaviour prediction
I Plazibat, I Kekez - 2024 Contemporary issues in economy & technology …, 2024 - croris.hr
2 天前 - … and highlights a practical application of artificial intelligence methods and fields for
… is evident that artificial neural networks and supervised machine learning algorithms emerge …
… is evident that artificial neural networks and supervised machine learning algorithms emerge …
Artificial Intelligence in Journalism: A Comprehensive Review
MA Rahman - Journal of Scientific Reports, 2024 - ideas.repec.org
2 天前 - … This comprehensive review examines the transformative impact of Artificial Intelligence
(… However, alongside these advancements, ethical considerations regarding algorithmic …
(… However, alongside these advancements, ethical considerations regarding algorithmic …
A lightweight weed detection model with global contextual joint features
A Guo, Z Jia, J Wang, G Zhou, B Ge, W Chen - … of Artificial Intelligence, 2024 - Elsevier
2 天前 - … To demonstrate the algorithm's capability to solve real-world problems, we collected
… the effectiveness of the proposed object detection algorithm, with further validation of its …
… the effectiveness of the proposed object detection algorithm, with further validation of its …
[HTML][HTML] An analysis on classification models for customer churn prediction
KC Mouli, CV Raghavendran, VY Bharadwaj… - Cogent …, 2024 - Taylor & Francis
2 天前 - … In machine learning various classification algorithms are available and in this paper
we … Cyber defense in the age of artificial intelligence and machine learning for financial …
we … Cyber defense in the age of artificial intelligence and machine learning for financial …
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Predicting post-surgery discharge time in pediatric patients using Machine Learning
M Cascella, C Guerra, AG Atanasov… - Translational Medicine …, 2024 - tmj.unisa.it
2 天前 - … In this context, the application of artificial intelligence and machine learning (ML) …
algorithm's performance, indicating that they were informative for the prediction task. …
algorithm's performance, indicating that they were informative for the prediction task. …
[HTML][HTML] Development of a machine learning algorithm to predict the residual cognitive reserve index
BE Gavett, S Tomaszewski Farias… - Brain …, 2024 - academic.oup.com
2 天前 - … To address these limitations, this study sought to determine whether a machine
learning … An eXtreme Gradient Boosting machine learning algorithm was trained to predict this …
learning … An eXtreme Gradient Boosting machine learning algorithm was trained to predict this …
Estimation of Water Velocity and Receiver Position Changes in Time-Lapse Seismic Using Machine Learning
RCF Araujo, G Corso, HAD Nascimento… - Brazilian Journal of …, 2024 - sbgf.org.br
2 天前 - … ln this paper, we propose a Machine Learning (ML) workflow for the quantitative
estimation … We studied many combinations of ML regression algorithms and feature extraction …
estimation … We studied many combinations of ML regression algorithms and feature extraction …
[HTML][HTML] Prediction of Left Ventricle Pressure Indices Via a Machine Learning Approach Combining ECG, Pulse Oximetry, and Cardiac Sounds: a Preclinical Feasibility …
L Fassina, FPL Muzio, L Berboth, J Ötvös… - Journal of …, 2024 - Springer
2 天前 - … , a promising niche belongs to artificial intelligence (AI) who has the potential …
machine-learning approach allows for excellent prediction of LV pressure indices. This algorithm …
machine-learning approach allows for excellent prediction of LV pressure indices. This algorithm …
Monitoring and predicting the quality of soybeans for different drying and storage technologies on a real scale using sensors and Machine Learning models
RE Lima, PC Coradi, DM Rodrigues… - Journal of Stored …, 2024 - Elsevier
2 天前 - … The application of monitoring techniques associated with artificial intelligence in
grain … quality of soybeans associated with Machine Learning algorithms to predict changes in …
grain … quality of soybeans associated with Machine Learning algorithms to predict changes in …
An Improved Information Retrieval System using Hybrid RNN LSTM for Multiple Search Engines
B Sangamithra - Communications on Applied Nonlinear …, 2024 - internationalpubls.com
2 天前 - … When compared with machine learning algorithms, the efficacy of traditional
keyword-… effective than traditional machine learning techniques such artificial neural networks (…
keyword-… effective than traditional machine learning techniques such artificial neural networks (…