most citedWireless Sensor Networks anomaly detection using Machine Learning: A Survey

7 citations · 13 across the 8 of their papers we have counts for

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cs.LG2023

ML Algorithm Synthesizing Domain Knowledge for Fungal Spores Concentration Prediction

Md Asif Bin Syed, Azmine Toushik Wasi, Imtiaz Ahmed

The pulp and paper manufacturing industry requires precise quality control to ensure pure, contaminant-free end products suitable for various applications. Fungal spore concentrati…

cs.LG2023★ 1 cited

Multi model LSTM architecture for Track Association based on Automatic Identification System Data

Md Asif Bin Syed, Imtiaz Ahmed

For decades, track association has been a challenging problem in marine surveillance, which involves the identification and association of vessel observations over time. However, t…

cs.LG2023★ 1 cited

A Bi-LSTM Autoencoder Framework for Anomaly Detection -- A Case Study of a Wind Power Dataset

Ahmed Shoyeb Raihan, Imtiaz Ahmed

Anomalies refer to data points or events that deviate from normal and homogeneous events, which can include fraudulent activities, network infiltrations, equipment malfunctions, pr…

cs.LG2023★ 7 cited

Wireless Sensor Networks anomaly detection using Machine Learning: A Survey

Ahsnaul Haque, Md Naseef-Ur-Rahman Chowdhury, Hamdy Soliman +3

Wireless Sensor Networks (WSNs) have become increasingly valuable in various civil/military applications like industrial process control, civil engineering applications such as bui…

cs.LG2023★ 3 cited

A CNN-LSTM Architecture for Marine Vessel Track Association Using Automatic Identification System (AIS) Data

Md Asif Bin Syed, Imtiaz Ahmed

In marine surveillance, distinguishing between normal and anomalous vessel movement patterns is critical for identifying potential threats in a timely manner. Once detected, it is…