UREKA - Grid Enabled Educational Multimedia Database. - Mohib ur Rehman; Imran Ihsan; Mobin Uddin Ahmed; Muhammad Abdul Qadir 001; Nadeem Iftikhar (SEKE, 2005)

Context-Aware Querying in Multimedia Databases - A Futuristic Approach. - Nadeem Iftikhar; Zouhaib Zafar; Shaukat Ali 004 (WEC (5), 2005)

Mobile Ad-Hoc Service Grid - MASGRID. - Imran Ihsan; Muhammad Abdul Qadir 001; Nadeem Iftikhar (WEC (5), 2005)

Universal Metadata Definition. - Mohib ur Rehman; Mohammad Haseeb Anwer; Nadeem Iftikhar (WEC (5), 2005)

Generic Multimedia Database Architecture. - Mohib ur Rehman; Imran Ihsan; Mobin Uddin Ahmed; Nadeem Iftikhar; Muhammad Abdul Qadir 001 (WEC (5), 2005)

An Ontology-Based Framework for Semi-Automatic Schema Integration. - Zille Huma; Muhammad Rehman; Nadeem Iftikhar (J. Comput. Sci. Technol., 2005)

Semantically Meaningful Unit - SMU; An Openly Reusable Learning Object for UREKA Learning-Object Taxonomy & Repository Architecture - ULTRA. - Imran Ihsan; Mobin Uddin Ahmed; Mohib ur Rehman; Muhammad Abdul Qadir 001; Nadeem Iftikhar (AICCSA, 2006)

Group Profile and Ontology-based Semantic Annotation of Multimedia Data for Efficient Retrieval (poster). - Nadeem Iftikhar; Muhammad Abdul Qadir 001; Omara Abdul Hamid (CIR, 2007)

Generic Multimedia Database Architecture Based upon Semantic Libraries. - Omara Abdul Hamid; Muhammad Abdul Qadir 001; Nadeem Iftikhar; Mohib ur Rehman; Mobin Uddin Ahmed; Imran Ihsan (Informatica, 2007)

Schema Design Alternatives for Multi-granular Data Warehousing. - Nadeem Iftikhar; Torben Bach Pedersen (DEXA (2), 2010)

Gradual Data Aggregation in Multi-granular Fact Tables on Resource-Constrained Systems. - Nadeem Iftikhar; Torben Bach Pedersen (KES (3), 2010)

Constraint-based Query Distribution Framework for an Integrated Global Schema - Ahmad Kamran Malik; Muhammad Abdul Qadir 001; Nadeem Iftikhar; Muhammad Usman 005 (CoRR, 2010)

A rule-based tool for gradual granular data aggregation. - Nadeem Iftikhar; Torben Bach Pedersen (DOLAP, 2011)

MMDW: A Multi-dimensional and Multi-granular Schema for Data Warehousing. - Nadeem Iftikhar (KES, 2012)

Ratio-Based Gradual Aggregation of Data. - Nadeem Iftikhar (NDT (1), 2012)

Ontology-Based Big Dimension Modeling in Data Warehouse Schema Design. - Xiufeng Liu; Nadeem Iftikhar (BIS, 2013)

Survey of real-time processing systems for big data. - Xiufeng Liu; Nadeem Iftikhar; Xike Xie (IDEAS, 2014)

Using a Time Granularity Table for Gradual Granular Data Aggregation. - Nadeem Iftikhar; Torben Bach Pedersen (Fundam. Informaticae, 2014)

Relational-Based Sensor Data Cleansing. - Nadeem Iftikhar; Xiufeng Liu; Finn Ebertsen Nordbjerg (ADBIS (Short Papers and Workshops), 2015)

An ETL optimization framework using partitioning and parallelization. - Xiufeng Liu; Nadeem Iftikhar (SAC, 2015)

Online Anomaly Energy Consumption Detection Using Lambda Architecture. - Xiufeng Liu; Nadeem Iftikhar; Per Sieverts Nielsen; Alfred Heller (DaWaK, 2016)

A Prediction-Based Smart Meter Data Generator. - Nadeem Iftikhar; Xiufeng Liu; Finn Ebertsen Nordbjerg; Sergiu Danalachi (NBiS, 2016)

Optimizing ETL by a Two-Level Data Staging Method. - Xiufeng Liu; Nadeem Iftikhar; Huan Huo; Per Sieverts Nielsen (Int. J. Data Warehous. Min., 2016)

A Scalable Smart Meter Data Generator Using Spark. - Nadeem Iftikhar; Xiufeng Liu; Sergiu Danalachi; Finn Ebertsen Nordbjerg; Jens Henrik Vollesen (OTM Conferences (1), 2017)

Data Analytics for Smart Manufacturing: A Case Study. - Nadeem Iftikhar; Thorkil Baattrup-Andersen; Finn Ebertsen Nordbjerg; Eugen Bobolea; Paul-Bogdan Radu (DATA, 2019)

Two approaches for synthesizing scalable residential energy consumption data. - Xiufeng Liu; Nadeem Iftikhar; Huan Huo; Rongling Li; Per Sieverts Nielsen (Future Gener. Comput. Syst., 2019)

Real-time Visualization of Sensor Data in Smart Manufacturing using Lambda Architecture. - Nadeem Iftikhar; Bartosz Piotr Lachowicz; Akos Madarasz; Finn Ebertsen Nordbjerg; Thorkil Baattrup-Andersen; Karsten Jeppesen (DATA, 2020)

Outlier Detection in Sensor Data using Ensemble Learning. - Nadeem Iftikhar; Thorkil Baattrup-Andersen; Finn Ebertsen Nordbjerg; Karsten Jeppesen (KES, 2020)

Adopting Artificial Intelligence in Danish SMEs: Barriers to Become a Data Driven Company, Its Solutions and Benefits. - Nadeem Iftikhar; Finn Ebertsen Nordbjerg (IN4PL, 2021)

Condition based Maintenance on Data Streams in Industry 4.0. - Nadeem Iftikhar; Adrian Mihai Dohot (IN4PL, 2022)

Machine Learning based Predictive Maintenance in Manufacturing Industry. - Nadeem Iftikhar; Yi-Chen Lin 001; Finn Ebertsen Nordbjerg (IN4PL, 2022)

A data-driven modular architecture with denoising autoencoders for health indicator construction in a manufacturing process. - Emil Blixt Hansen; Helge Langseth; Nadeem Iftikhar; Simon Bøgh (CoRR, 2022)

Automated Classification of Building Objects Using Machine Learning. - Nadeem Iftikhar; Peter Nørkjær Gade; Kasper Møller Nielsen; Jesper Mellergaard (KDIR, 2023)

Identifying Similar Top-K Household Electricity Consumption Patterns. - Nadeem Iftikhar; Akos Madarasz; Finn Ebertsen Nordbjerg (KDIR, 2023)

A lightweight CORONA-NET for COVID-19 detection in X-ray images. - Muhammad Usman Hadi; Rizwan Qureshi; Ayesha Ahmed; Nadeem Iftikhar (Expert Syst. Appl., 2023)

Cooperative Learning in Industry 4.0: Transforming SMEs and Educational Practices with Assembly Line Prototypes. - Nadeem Iftikhar; Kurt Lindgren; Ib Helmer Nielsen; Kevin Bo Gatzwiller (CDVE, 2024)

Online Machine Learning for Adaptive Ballast Water Management. - Nadeem Iftikhar; Yi-Chen Lin 001; Xiufeng Liu; Finn Ebertsen Nordbjerg (DATA, 2024)

Real-Time Equipment Health Monitoring Using Unsupervised Learning Techniques. - Nadeem Iftikhar; Finn Ebertsen Nordbjerg (DATA, 2024)