[HTML][HTML] Reviewing the application of machine learning methods to model urban form indicators in planning decision support systems: Potential, issues and …
Modern cities dynamically face several challenges including digitalization, sustainability,
resilience and economic development. Urban planners and designers must develop urban …
resilience and economic development. Urban planners and designers must develop urban …
[HTML][HTML] Improving parking availability prediction in smart cities with IoT and ensemble-based model
Smart cities are part of the ongoing advances in technology to provide a better life quality to
its inhabitants. Urban mobility is one of the most important components of smart cities. Due …
its inhabitants. Urban mobility is one of the most important components of smart cities. Due …
Optimizing the early glaucoma detection from visual fields by combining preprocessing techniques and ensemble classifier with selection strategies
SCK Tékouabou, I Chabbar, H Toulni, W Cherif… - Expert Systems with …, 2022 - Elsevier
Artificial Intelligence is booming and many issues of research are being explored to improve
technical performance in health systems. But also making them suitable for targeted medical …
technical performance in health systems. But also making them suitable for targeted medical …
Solving onion market instability by forecasting onion price using machine learning approach
Price is the key factor in financial activities. Unexpected fluctuation in price is the sign of
market instability. Nowadays Machine learning provides enormous techniques to forecast …
market instability. Nowadays Machine learning provides enormous techniques to forecast …
Association of modern sexism with demographic and socioeconomic factors: a machine learning approach
T Kyriazos, M Poga - Social Network Analysis and Mining, 2023 - Springer
This study uses machine learning techniques to explore the relationships between
contemporary sexist attitudes and demographic and socioeconomic factors. A total of 1110 …
contemporary sexist attitudes and demographic and socioeconomic factors. A total of 1110 …
K-nearest neighbors algorithm for prediction shelf life of rice based on electronic nose dataset
In Indonesia, rice is a food commodity that has a strategic and vital role. Considering rice's
importance, the government always strives to ensure food needs and a surplus of rice as …
importance, the government always strives to ensure food needs and a surplus of rice as …
[HTML][HTML] Machine learning identification of edible vegetable oils from fatty acid compositions and hyperspectral images
J Hwang, KO Choi, S Jeong, S Lee - Current Research in Food Science, 2024 - Elsevier
Hyperspectral imaging analysis combined with machine learning was applied to identify
eight edible vegetable oils, and its classification performance was compared with the …
eight edible vegetable oils, and its classification performance was compared with the …
Using knn algorithm predictor for data synchronization of ultra-tight gnss/ins integration
The INS system's update rate is faster than that of the GNSS receiver. Additionally, GNSS
receiver data may suffer from blocking for a few seconds for different reasons, affecting …
receiver data may suffer from blocking for a few seconds for different reasons, affecting …
[PDF][PDF] Modeling approaches for time series forecasting and anomaly detection
S Du, M Pandey, C Xing - Technical Report, 2017 - cs229.stanford.edu
Accurate time series forecasting is critical for business operations for optimal resource
allocation, budget planning, anomaly detection and tasks such as predicting customer …
allocation, budget planning, anomaly detection and tasks such as predicting customer …
Prediksi Harga Minyak Mentah Dunia Menggunakan Metode Ensemble k-Nearest Neighbor
Harga minyak mentah dunia memiliki peran penting dalam perekonomian dunia. Namun,
fluktuasi harga minyak yang signifikan sering terjadi dan berdampak luas pada …
fluktuasi harga minyak yang signifikan sering terjadi dan berdampak luas pada …