Improving Requirements Classification with SMOTE-Tomek Preprocessing
This study emphasizes the domain of requirements engineering by applying the SMOTE-Tomek preprocessing
Publications
Transformer-Based Dog Behavior Classification With Motion Sensors
This article deals with classifying dog behavior using motion sensors, leveraging a transformer-based
Surface Recognition for e-Scooter Using Smartphone IMU Sensor
In recent years, as the use of micromobility gained popularity, technological challenges connected
CarSpeedNet: A Deep Neural Network-based Car Speed Estimation from Smartphone Accelerometer
We introduce the CarSpeedNet, a deep learning model designed to estimate car speed
Learning Position From Vehicle Vibration Using an Inertial Measurement Unit
This paper presents a novel approach to vehicle positioning that operates without reliance
Deep Learning for Inertial Sensor Alignment
Accurate alignment of a fixed mobile device equipped with inertial sensors inside a
A Hybrid Adaptive Velocity Aided Navigation Filter with Application to INS/DVL Fusion
Autonomous underwater vehicles (AUV) are commonly used in many underwater applications. Usually, inertial
ProNet: Adaptive process noise estimation for INS/DVL fusion
Inertial and Doppler velocity log sensors are commonly used to provide the navigation
Adaptive Step Size Learning With Applications to Velocity Aided Inertial Navigation System
Autonomous underwater vehicles (AUV) are commonly used in many underwater applications. Recently, the
Learning Car Speed Using Inertial Sensors for Dead Reckoning Navigation
A deep neural network (DNN) is trained to estimate the speed of a
Explainable Prediction of Cholesterol Levels in Women Using Decision Tree Models
Accurate prediction of cholesterol levels is important for early diagnosis and intervention in
Learning Vehicle Trajectory Uncertainty
A novel approach for vehicle tracking using a hybrid adaptive Kalman filter is
Kalman Filtering with Adaptive Step Size Using a Covariance-based Criterion
In Kalman filtering (KF), a tradeoff exists when selecting the filter step size.
A Hybrid Model and Learning-Based Adaptive Navigation Filter
The fusion between an inertial navigation system and global navigation satellite systems is
LengthNet: Length Learning for Planar Euclidean Curves
We used a deep learning (DL) model to solve a fundamental problem in
Optimal Disturbance Attenuation Approach with Measurement Feedback to Missile Guidance
Pursuit-evasion differential games using the Disturbance Attenuation approach are revisited. Under this approach,
Imperfect Information Game for a Simple Pursuit-Evasion Problem
Differential Games for pursuit-evasion problems have been investigated for many years. Differential games,