Deep learning for Covid-19 forecasting: State-of-the-art review.
The Covid-19 pandemic has galvanized scientists to apply machine learning methods to
help combat the crisis. Despite the significant amount of research there exists no …
help combat the crisis. Despite the significant amount of research there exists no …
Advances in online handwritten recognition in the last decades
The easy availability and rapid use of online devices like Take note, PDA, smartphones, etc.
at an affordable price increase the demand for online handwriting recognition. In this …
at an affordable price increase the demand for online handwriting recognition. In this …
An empirical survey of data augmentation for time series classification with neural networks
In recent times, deep artificial neural networks have achieved many successes in pattern
recognition. Part of this success can be attributed to the reliance on big data to increase …
recognition. Part of this success can be attributed to the reliance on big data to increase …
Intrinsic sense of touch for intuitive physical human-robot interaction
The sense of touch is a property that allows humans to interact delicately with their physical
environment. This article reports on a technological advancement in intuitive human-robot …
environment. This article reports on a technological advancement in intuitive human-robot …
A scalable handwritten text recognition system
Many studies on (Offline) Handwritten Text Recognition (HTR) systems have focused on
building state-of-the-art models for line recognition on small corpora. However, adding HTR …
building state-of-the-art models for line recognition on small corpora. However, adding HTR …
An automatic system to monitor the physical distance and face mask wearing of construction workers in COVID-19 pandemic
The COVID-19 pandemic has caused many shutdowns in different industries around the
world. Sectors such as infrastructure construction and maintenance projects have not been …
world. Sectors such as infrastructure construction and maintenance projects have not been …
Vectorization and rasterization: Self-supervised learning for sketch and handwriting
Self-supervised learning has gained prominence due to its efficacy at learning powerful
representations from unlabelled data that achieve excellent performance on many …
representations from unlabelled data that achieve excellent performance on many …
Modelling and prediction of GNSS time series using GBDT, LSTM and SVM machine learning approaches
W Gao, Z Li, Q Chen, W Jiang, Y Feng - Journal of Geodesy, 2022 - Springer
Global navigation satellite system (GNSS) site coordinate time series provides essential
data for geodynamic and geophysical studies, realisation of a regional or global geodetic …
data for geodynamic and geophysical studies, realisation of a regional or global geodetic …
IDS-attention: an efficient algorithm for intrusion detection systems using attention mechanism
Network attacks are illegal activities on digital resources within an organizational network
with the express intention of compromising systems. A cyber attack can be directed by …
with the express intention of compromising systems. A cyber attack can be directed by …
DT2F-TLNet: A novel text-independent writer identification and verification model using a combination of deep type-2 fuzzy architecture and Transfer Learning …
Identifying and verifying the identity of people based on scanned images of handwritten
documents is an applicable biometric modality with applications in forensic and historic …
documents is an applicable biometric modality with applications in forensic and historic …