A
Almas Abbasi
Researcher at International Islamic University, Islamabad
Publications - 25
Citations - 588
Almas Abbasi is an academic researcher from International Islamic University, Islamabad. The author has contributed to research in topics: Cloud computing & Digital watermarking. The author has an hindex of 6, co-authored 23 publications receiving 473 citations. Previous affiliations of Almas Abbasi include Information Technology University.
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Journal ArticleDOI
A review of biometric technology along with trends and prospects
TL;DR: An extensive review of biometric technology is presented here, focusing on mono-modal biometric systems along with their architecture and information fusion levels.
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Forecasting of consumers heat load in district heating systems using the support vector machine with a discrete wavelet transform algorithm
Milan Protić,Shahaboddin Shamshirband,Dalibor Petković,Almas Abbasi,Miss Laiha Mat Kiah,Jawed Akhtar Unar,Ljiljana Živković,Miomir Raos +7 more
TL;DR: In this article, short-term multi-step ahead predictive models of heat load of consumers connected to a district heating system were created using the novel method based on SVM (Support Vector Machines) coupled with a discrete wavelet transform.
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Software-Defined Cloud Computing: A Systematic Review on Latest Trends and Developments
Aaqif Afzaal Abbasi,Almas Abbasi,Shahaboddin Shamshirband,Anthony T. Chronopoulos,Valerio Persico,Antonio Pescape +5 more
TL;DR: A survey on software-defined cloud computing, which introduces SDCC environments and explains its main architectural components, and identifies the essential contributions of various developments to this field and discusses the implementation challenges and limitations faced in their adoption.
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Prediction of contact forces of underactuated finger by adaptive neuro fuzzy approach
Dalibor Petković,Shahaboddin Shamshirband,Almas Abbasi,Kourosh Kiani,Eiman Tamah Al-Shammari +4 more
TL;DR: In this paper, an adaptive neuro-fuzzy inference system (ANFIS) was applied as the soft computing method to perform the prediction of the finger contact forces, which can be used to adapt shapes of the fingers for grasping objects.
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Robust image watermarking based on Riesz transformation and IT2FLS
TL;DR: Experimental results confirmed that the RT based watermarking technique is robust against image processing and geometric attack compared to previous techniques and has a good balance between robustness and imperceptibility under the checkmark tool.