S
Sardar Mehboob Hussain
Researcher at COMSATS Institute of Information Technology
Publications - 12
Citations - 127
Sardar Mehboob Hussain is an academic researcher from COMSATS Institute of Information Technology. The author has contributed to research in topics: Computer science & Energy consumption. The author has an hindex of 3, co-authored 8 publications receiving 71 citations.
Papers
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Journal ArticleDOI
Demand Side Management in Nearly Zero Energy Buildings Using Heuristic Optimizations
Nadeem Javaid,Sardar Mehboob Hussain,Ibrar Ullah,Muhammad Asim Noor,Wadood Abdul,Ahmad Almogren,Atif Alamri +6 more
TL;DR: In this article, the authors proposed various demand side management (DSM) programs using the genetic algorithm (GA), teaching learning-based optimization (TLBO), the enhanced differential evolution (EDE) algorithm and the proposed enhanced differential teaching learning algorithm (EDTLA), while taking the human preferences into consideration.
Proceedings ArticleDOI
A Meta-Heuristic Home Energy Management System
TL;DR: This work evaluates performance of home energy management system (HEM) by using three meta-heuristic optimization techniques: Harmony search algorithm (HSA), Bacterial foraging optimization (BFO) and Enhanced deferential evolution (EDE).
Journal ArticleDOI
Segmentation and Identification of Vertebrae in CT Scans Using CNN, k-Means Clustering and k-NN
Nicola Altini,Giuseppe De Giosa,Nicola Fragasso,Claudia Coscia,Elena Sibilano,Berardino Prencipe,Sardar Mehboob Hussain,Antonio Brunetti,Domenico Buongiorno,Andrea Guerriero,Ilaria Sabina Tatò,Gioacchino Brunetti,Vito Triggiani,Vitoantonio Bevilacqua +13 more
TL;DR: In this paper, a 3D convolutional neural network (CNN) and a semi-automated procedure are used to locate vertebrae centroids using traditional machine learning algorithms.
Journal ArticleDOI
Inline Defective Laser Weld Identification by Processing Thermal Image Sequences with Machine and Deep Learning Techniques
Domenico Buongiorno,Michela Prunella,Stefano Grossi,Sardar Mehboob Hussain,Alessandro Rennola,N. Longo,G. Di Stefano,Vitoantonio Bevilacqua,Antonio Brunetti +8 more
TL;DR: In this article , a fully automated system capable of detecting defective welds according to the electrical resistance properties in the inline mode is presented, where welding process is captured by an IR camera that generates a video sequence.
Book ChapterDOI
Seven Pillars to Achieve Energy Efficiency in High-Performance Computing Data Centers
Sardar Mehboob Hussain,Abdul Wahid,Munam Ali Shah,Adnan Akhunzada,Faheem Khan,Noor Ul Amin,Saba Arshad,Ihsan Ali +7 more
TL;DR: This paper surveys the issues, challenges, and their solutions over the period 2010–2016, by focusing on the energy consumption of data centers and HPC systems, and proposes seven-pillar framework for energy efficiency in HPC system and data centers for the first time.