7 citations · 13 across the 8 of their papers we have counts for
8 papers
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…
Android Malware Detection using Machine learning: A Review
Md Naseef-Ur-Rahman Chowdhury, Ahshanul Haque, Hamdy Soliman +3
Malware for Android is becoming increasingly dangerous to the safety of mobile devices and the data they hold. Although machine learning(ML) techniques have been shown to be effect…
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…
Phase-field Simulations of Polarization Variations in Polycrystalline Hf0.5Zr0.5O2 based MFIM: Voltage-Dependence and Dynamics
Revanth Koduru, Imtiaz Ahmed, Atanu K Saha +3
In this work, we investigate the device-to-device variations in remanent polarization of Hafnium-Zirconium-Oxide based Metal-Ferroelectric-Insulator-Metal (MFIM) stacks. We conside…
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…
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…
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…
Super-High-Frequency Low-Loss Sezawa Mode SAW Devices in a GaN/SiC Platform
Imtiaz Ahmed, Udit Rawat, Jr-Tai Chen +1
This paper presents a comprehensive study of the performance of Sezawa surface acoustic wave (SAW) devices in SweGaN QuanFINE ultrathin GaN/SiC platform, reaching frequencies above…