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20032026
most citedA Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU

150 citations

Showing 2023Show all

6 papers · 1 filter

quant-ph2023

Evaluating Pauli errors on cluster states by weighted distances

Choong Pak Shen, Davide Girolami

We address the problem of evaluating the difference between quantum states before and after being affected by errors encoded in unitary transformations. Standard distance functions…

stat.AP2023★ 11 cited

Crossing the Linguistic Causeway: Ethnonational Differences on Soundscape Attributes in Bahasa Melayu

Bhan Lam, Julia Chieng, Kenneth Ooi +4

Despite being neighbouring countries and sharing the language of Bahasa Melayu (ISO 639-3:ZSM), cultural and language education policy differences between Singapore and Malaysia le…

cs.LG2023★ 17 cited

Enhancing Road Safety through Accurate Detection of Hazardous Driving Behaviors with Graph Convolutional Recurrent Networks

Pooyan Khosravinia, Thinagaran Perumal, Javad Zarrin

Car accidents remain a significant public safety issue worldwide, with the majority of them attributed to driver errors stemming from inadequate driving knowledge, non-compliance w…

cs.LG2023★ 150 cited

A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU

Farhad Mortezapour Shiri, Thinagaran Perumal, Norwati Mustapha +1

Deep learning (DL) has emerged as a powerful subset of machine learning (ML) and artificial intelligence (AI), outperforming traditional ML methods, especially in handling unstruct…

cs.CV2023★ 5 cited

Semi-Supervised Semantic Segmentation Methods for UW-OCTA Diabetic Retinopathy Grade Assessment

Zhuoyi Tan, Hizmawati Madzin, Zeyu Ding

People with diabetes are more likely to develop diabetic retinopathy (DR) than healthy people. However, DR is the leading cause of blindness. At present, the diagnosis of diabetic…

quant-ph2023

Special core tensors of multi-qubit states and the concurrency of three lines

Pak Shen Choong, Hishamuddin Zainuddin, Kar Tim Chan +1

Classification of multipartite states aims to obtain a set of operationally useful and finite entanglement classes under the action of either local unitary (LU) or stochastic local…