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[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 …
Artificial intelligence for antimicrobial resistance prediction: challenges and opportunities towards practical implementation
Antimicrobial resistance (AMR) is emerging as a potential threat to many lives worldwide. It
is very important to understand and apply effective strategies to counter the impact of AMR …
is very important to understand and apply effective strategies to counter the impact of AMR …
Detection of cardiovascular diseases in ECG images using machine learning and deep learning methods
MB Abubaker, B Babayiğit - IEEE transactions on artificial …, 2022 - ieeexplore.ieee.org
Cardiovascular diseases (heart diseases) are the leading cause of death worldwide. The
earlier they can be predicted and classified; the more lives can be saved. Electrocardiogram …
earlier they can be predicted and classified; the more lives can be saved. Electrocardiogram …
[PDF][PDF] Recommendations to advance the cloud data analytics and chatbots by using machine learning technology
AR Kunduru - International Journal of Engineering and Scientific …, 2023 - academia.edu
The selection of machine learning tools for data analytics might be challenging due to the
ever-growing number of alternatives. The various tools each have benefits and limitations …
ever-growing number of alternatives. The various tools each have benefits and limitations …
RBF-SVM kernel-based model for detecting DDoS attacks in SDN integrated vehicular network
The development of the intelligent transport space (ITS) comes with the challenge of
securing transportation data. As the vehicular network is highly dynamic, the network …
securing transportation data. As the vehicular network is highly dynamic, the network …
An IoT based smart water quality assessment framework for aqua-ponds management using Dilated Spatial-temporal Convolution Neural Network (DSTCNN)
PG Arepalli, KJ Naik - Aquacultural Engineering, 2024 - Elsevier
Assuring the quality of water is crucial for the growth and survival of fish in aquaculture
ponds. Traditional methods of water quality monitoring can be inefficient which makes real …
ponds. Traditional methods of water quality monitoring can be inefficient which makes real …
Unsupervised machine anomaly detection using autoencoder and temporal convolutional network
Anomaly detection is the cornerstone of the health management of much large industrial
mechanical equipment. Most machinery anomaly detection methods try to find a variable …
mechanical equipment. Most machinery anomaly detection methods try to find a variable …
A deep learning-enabled IoT framework for early hypoxia detection in aqua water using light weight spatially shared attention-LSTM network
PG Arepalli, KJ Naik - The journal of Supercomputing, 2024 - Springer
Dissolved oxygen (DO) is a critical factor in maintaining healthy aquatic ecosystems,
including aquaculture ponds. Low DO levels can lead to hypoxia conditions, which are …
including aquaculture ponds. Low DO levels can lead to hypoxia conditions, which are …
[HTML][HTML] Contextual embeddings based on fine-tuned Urdu-BERT for Urdu threatening content and target identification
Identification of threatening text on social media platforms is a challenging task. Contrary to
the high-resource languages, the Urdu language has very limited such approaches and the …
the high-resource languages, the Urdu language has very limited such approaches and the …
[HTML][HTML] Novel hyper-tuned ensemble random forest algorithm for the detection of false basic safety messages in internet of vehicles
Detection of nodes disseminating false data is a prerequisite for effective deployment of
Internet of Vehicles (IoV) services. This work proposed a novel hyper-tuned ensemble …
Internet of Vehicles (IoV) services. This work proposed a novel hyper-tuned ensemble …