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Nadeem Iftikhar
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2020 – today
- 2024
- [c31]Nadeem Iftikhar
, Kurt Lindgren
Cooperative Learning in Industry 4.0: Transforming SMEs and Educational Practices with Assembly Line Prototypes. CDVE 2024: 194-200 - [c30]Nadeem Iftikhar
Online Machine Learning for Adaptive Ballast Water Management. DATA 2024: 27-38 - [c29]Nadeem Iftikhar
Real-Time Equipment Health Monitoring Using Unsupervised Learning Techniques. DATA 2024: 401-408 - 2023
- [j6]Muhammad Usman Hadi
A lightweight CORONA-NET for COVID-19 detection in X-ray images. Expert Syst. Appl. 225: 120023 (2023) - [c28]Nadeem Iftikhar
Identifying Similar Top-K Household Electricity Consumption Patterns. KDIR 2023: 167-174 - [c27]Nadeem Iftikhar
Automated Classification of Building Objects Using Machine Learning. KDIR 2023: 331-338 - 2022
- [c26]Nadeem Iftikhar
Machine Learning based Predictive Maintenance in Manufacturing Industry. IN4PL 2022: 85-93 - [c25]Nadeem Iftikhar
Condition based Maintenance on Data Streams in Industry 4.0. IN4PL 2022: 137-144 - [i2]Emil Blixt Hansen
A data-driven modular architecture with denoising autoencoders for health indicator construction in a manufacturing process. CoRR abs/2208.05208 (2022) - 2021
- [c24]Nadeem Iftikhar
Adopting Artificial Intelligence in Danish SMEs: Barriers to Become a Data Driven Company, Its Solutions and Benefits. IN4PL 2021: 131-136 - 2020
- [c23]Nadeem Iftikhar
Real-time Visualization of Sensor Data in Smart Manufacturing using Lambda Architecture. DATA 2020: 215-222 - [c22]Nadeem Iftikhar
Outlier Detection in Sensor Data using Ensemble Learning. KES 2020: 1160-1169
2010 – 2019
- 2019
- [j5]Xiufeng Liu
Two approaches for synthesizing scalable residential energy consumption data. Future Gener. Comput. Syst. 95: 586-600 (2019) - [c21]Nadeem Iftikhar
Data Analytics for Smart Manufacturing: A Case Study. DATA 2019: 392-399 - 2017
- [c20]Nadeem Iftikhar
A Scalable Smart Meter Data Generator Using Spark. OTM Conferences (1) 2017: 21-36 - 2016
- [j4]Xiufeng Liu
Optimizing ETL by a Two-Level Data Staging Method. Int. J. Data Warehous. Min. 12(3): 32-50 (2016) - [c19]Xiufeng Liu
Online Anomaly Energy Consumption Detection Using Lambda Architecture. DaWaK 2016: 193-209 - [c18]Nadeem Iftikhar
A Prediction-Based Smart Meter Data Generator. NBiS 2016: 173-180 - 2015
- [c17]Nadeem Iftikhar
Relational-Based Sensor Data Cleansing. ADBIS (Short Papers and Workshops) 2015: 108-118 - [c16]Xiufeng Liu
An ETL optimization framework using partitioning and parallelization. SAC 2015: 1015-1022 - 2014
- [j3]Nadeem Iftikhar
Using a Time Granularity Table for Gradual Granular Data Aggregation. Fundam. Informaticae 132(2): 153-176 (2014) - [c15]Xiufeng Liu, Nadeem Iftikhar
Survey of real-time processing systems for big data. IDEAS 2014: 356-361 - 2013
- [c14]Xiufeng Liu, Nadeem Iftikhar
Ontology-Based Big Dimension Modeling in Data Warehouse Schema Design. BIS 2013: 75-87 - 2012
- [c13]Nadeem Iftikhar:
MMDW: A Multi-dimensional and Multi-granular Schema for Data Warehousing. KES 2012: 1211-1220 - [c12]Nadeem Iftikhar
Ratio-Based Gradual Aggregation of Data. NDT (1) 2012: 316-329 - 2011
- [c11]Nadeem Iftikhar
A rule-based tool for gradual granular data aggregation. DOLAP 2011: 1-8 - 2010
- [c10]Nadeem Iftikhar
Using a Time Granularity Table for Gradual Granular Data Aggregation. ADBIS 2010: 219-233 - [c9]Nadeem Iftikhar
Schema Design Alternatives for Multi-granular Data Warehousing. DEXA (2) 2010: 111-125 - [c8]Nadeem Iftikhar
Gradual Data Aggregation in Multi-granular Fact Tables on Resource-Constrained Systems. KES (3) 2010: 349-358 - [i1]Ahmad Kamran Malik, Muhammad Abdul Qadir, Nadeem Iftikhar, Muhammad Usman:
Constraint-based Query Distribution Framework for an Integrated Global Schema. CoRR abs/1004.2155 (2010)
2000 – 2009
- 2007
- [j2]Omara Abdul Hamid, Muhammad Abdul Qadir, Nadeem Iftikhar, Mohib ur Rehman, Mobin Uddin Ahmed, Imran Ihsan:
Generic Multimedia Database Architecture Based upon Semantic Libraries. Informatica 18(4): 483-510 (2007) - [c7]Nadeem Iftikhar, Muhammad Abdul Qadir, Omara Abdul Hamid:
Group Profile and Ontology-based Semantic Annotation of Multimedia Data for Efficient Retrieval (poster). CIR 2007 - 2006
- [c6]Imran Ihsan, Mobin Uddin Ahmed, Mohib ur Rehman, Muhammad Abdul Qadir, Nadeem Iftikhar:
Semantically Meaningful Unit - SMU; An Openly Reusable Learning Object for UREKA Learning-Object Taxonomy & Repository Architecture - ULTRA. AICCSA 2006: 1011-1018 - 2005
- [j1]Zille Huma, Muhammad Rehman, Nadeem Iftikhar
An Ontology-Based Framework for Semi-Automatic Schema Integration. J. Comput. Sci. Technol. 20(6): 788-796 (2005) - [c5]Mohib ur Rehman, Imran Ihsan, Mobin Uddin Ahmed, Muhammad Abdul Qadir, Nadeem Iftikhar:
UREKA - Grid Enabled Educational Multimedia Database. SEKE 2005: 485-490 - [c4]Imran Ihsan, Muhammad Abdul Qadir, Nadeem Iftikhar:
Mobile Ad-Hoc Service Grid - MASGRID. WEC (5) 2005: 124-127 - [c3]Mohib ur Rehman, Imran Ihsan, Mobin Uddin Ahmed, Nadeem Iftikhar, Muhammad Abdul Qadir:
Generic Multimedia Database Architecture. WEC (5) 2005: 128-131 - [c2]Nadeem Iftikhar, Zouhaib Zafar, Shaukat Ali:
Context-Aware Querying in Multimedia Databases - A Futuristic Approach. WEC (5) 2005: 140-143 - [c1]Mohib ur Rehman, Mohammad Haseeb Anwer, Nadeem Iftikhar:
Universal Metadata Definition. WEC (5) 2005: 144-146
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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