Shehzad Khalid

According to our database1, Shehzad Khalid
  • authored at least 36 papers between 2005 and 2018.
  • has a "Dijkstra number"2 of five.



In proceedings 
PhD thesis 




IoT-based students interaction framework using attention-scoring assessment in eLearning.
Future Generation Comp. Syst., 2018

A Novel White Space Optimization Scheme Using Memory Enabled Genetic Algorithm in Cognitive Vehicular Communication.
Wireless Personal Communications, 2017

Fuzzy based multi-criteria vertical handover decision modeling in heterogeneous wireless networks.
Multimedia Tools Appl., 2017

Accurate and efficient shape matching approach using vocabularies of multi-feature space representations.
J. Real-Time Image Processing, 2017

Real-time imaging-based assessment model for improving teaching performance and student experience in e-learning.
J. Real-Time Image Processing, 2017

Precise shape matching of large shape datasets using hybrid approach.
J. Parallel Distrib. Comput., 2017

A three-way approach for learning rules in automatic knowledge-based topic models.
Int. J. Approx. Reasoning, 2017

Segmentation-free optical character recognition for printed Urdu text.
EURASIP J. Image and Video Processing, 2017

Big-data: transformation from heterogeneous data to semantically-enriched simplified data.
Multimedia Tools Appl., 2016

Multiagent Semantical Annotation Enhancement Model for IoT-Based Energy-Aware Data.
IJDSN, 2016

Automated diagnosis of macular edema and central serous retinopathy through robust reconstruction of 3D retinal surfaces.
Computer Methods and Programs in Biomedicine, 2016

Online Knowledge-Based Model for Big Data Topic Extraction.
Comp. Int. and Neurosc., 2016

Digital image preprocessing and hair artifact removal by using Gabor wavelet.
Proceedings of the International SoC Design Conference, 2016

Energy Efficient Strategy for Throughput Improvement in Wireless Sensor Networks.
Sensors, 2015

Behaviour recognition using multivariate m-mediod based modelling of motion trajectories.
Multimedia Syst., 2015

Hybrid Features and Mediods Classification based Robust Segmentation of Blood Vessels.
J. Medical Systems, 2015

A Novel Compression Technique for Multi-Camera Nodes through Directional Correlation.
IJDSN, 2015

TOBAE: A Density-based Agglomerative Clustering Algorithm.
J. Classification, 2015

Recognition of Urdu ligatures - a holistic approach.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

Detection and classification of retinal lesions for grading of diabetic retinopathy.
Comp. in Bio. and Med., 2014

Preprocessing Approach Identifying and Removing Noise which Affects Shape.
Proceedings of the UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, 2014

Identification and classification of microaneurysms for early detection of diabetic retinopathy.
Pattern Recognition, 2013

An Approach Making the Shape Matching Techniques Robust to Noise.
JMPT, 2013

Intelligent Optimization of Wireless Sensor Networks through Bio-Inspired Computing: Survey and Future Directions.
IJDSN, 2013

Detection of neovascularization in retinal images using multivariate m-Mediods based classifier.
Comp. Med. Imag. and Graph., 2013

Frameworks for multivariate m-mediods based modeling and classification in Euclidean and general feature spaces.
Pattern Recognition, 2012

Incremental indexing and retrieval mechanism for scalable and robust shape matching.
Multimedia Syst., 2012

Robust shape matching using global feature space representation of contours.
Proceedings of the International Conference on Computing, Networking and Communications, 2012

Activity classification and anomaly detection using m-mediods based modelling of motion patterns.
Pattern Recognition, 2010

Motion-based behaviour learning, profiling and classification in the presence of anomalies.
Pattern Recognition, 2010

Motion classification using spatiotemporal approximation of object trajectories.
PhD thesis, 2009

Classifying spatiotemporal object trajectories using unsupervised learning in the coefficient feature space.
Multimedia Syst., 2006

Motion Trajectory Learning in the DFT-Coefficient Feature Space.
Proceedings of the 2006 IEEE International Conference on Computer Vision Systems, 2006

Evaluation of Matching Metrics for Trajectory-Based Indexing and Retrieval of Video Clips.
Proceedings of the 7th IEEE Workshop on Applications of Computer Vision / IEEE Workshop on Motion and Video Computing (WACV/MOTION 2005), 2005

Motion Trajectory Clustering for Video Retrieval Using Spatio-temporal Approximations.
Proceedings of the Visual Information and Information Systems, 2005

Motion Clustering using Spatiotemporal Approximations.
Proceedings of the Ninth IASTED International Conference on Internet and Multimedia Systems and Applications (IMSA 2005), 2005