A Systematic and Comprehensive Study on Machine Learning and Deep Learning Models in Web Traffic Prediction
J Trivedi, M Shah - Archives of Computational Methods in Engineering, 2024 - Springer
The practice of predicting the traffic that is headed toward a specific website is known as
web traffic prediction. To govern a network, network traffic forecasting is crucial. Since clients …
web traffic prediction. To govern a network, network traffic forecasting is crucial. Since clients …
[PDF][PDF] Intelligent Medical Diagnostic system for hepatitis B
The hepatitis B virus is the most deadly virus, which significantly affects the human liver. The
termination of the hepatitis B virus is mandatory and can be done by taking precautions as …
termination of the hepatitis B virus is mandatory and can be done by taking precautions as …
[PDF][PDF] Detection of Omicron Caused Pneumonia from Radiology Images Using Convolution Neural Network (CNN).
COVID-19 disease caused by the SARS-CoV-2 virus has created social and economic
disruption across the world. The ability of the COVID-19 virus to quickly mutate and transfer …
disruption across the world. The ability of the COVID-19 virus to quickly mutate and transfer …
[PDF][PDF] Automatic leukaemia segmentation approach for blood cancer classification using microscopic images
Leukaemia is a type of blood cancer that is caused by undeveloped White Blood Cells
(WBC), and it is also called a blast blood cell. In the marrow of human bones, leukaemia is …
(WBC), and it is also called a blast blood cell. In the marrow of human bones, leukaemia is …
[PDF][PDF] Large Scale Fish Images Classification and Localization using Transfer Learning and Localization Aware CNN Architecture.
Building an automatic fish recognition and detection system for largescale fish classes is
helpful for marine researchers and marine scientists because there are large numbers of fish …
helpful for marine researchers and marine scientists because there are large numbers of fish …
Sistem Peramalan Permintaan Darah dengan Metode Simple Moving Average
WMI Muttaqin, W Ramdhan… - Edumatic: Jurnal …, 2022 - e-journal.hamzanwadi.ac.id
Abstract Simple Moving Average (SMA) is a method used to forecast a state of affairs in the
next period. This method is applied to determine the number of blood requests in PMI in the …
next period. This method is applied to determine the number of blood requests in PMI in the …
Aquila Optimizer‐Based Hybrid Predictive Model for Traffic Congestion in an IoT‐Enabled Smart City
Effective traffic congestion prediction is need of the hour in a modern smart city to save time
and improve the quality of life for citizens. In this study, AB_AO (ARIMA Bi‐LSTM using …
and improve the quality of life for citizens. In this study, AB_AO (ARIMA Bi‐LSTM using …
Depth asynchronous time delay reservoir for nonlinear time series forecasting task
M You, G Wang, Z Yang, X Yang - Information Sciences, 2024 - Elsevier
The forecasting of nonlinear time series has a wide range of applications both in theoretical
research and industrial production, as the fitting of nonlinear systems, the early warning of …
research and industrial production, as the fitting of nonlinear systems, the early warning of …
A novel hybrid deep learning approach for 5G network traffic control and forecasting
Summary 5G is planned to link not just traditional devices such as tablets and smartphones,
but also smart devices, smart homes, autonomous vehicles, and industry 4.0 which …
but also smart devices, smart homes, autonomous vehicles, and industry 4.0 which …
Enabling Traffic Forecasting with Cloud-native SDN Controller in Transport Networks
D Adanza, L Gifre, P Alemany… - Computer Networks, 2024 - Elsevier
Network bandwidth is a scarce resource that network operators monitor to cope with future
traffic demands and plan more transceiver and fibre deployments. The inclusion of Machine …
traffic demands and plan more transceiver and fibre deployments. The inclusion of Machine …