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Conference Paper: Recent submissions

  • Qazi Zia Ullah; Farman Ullah; Fazal Wahab Karam; Shahzad Hassan; Sungchang Lee (Bahria University Islamabad Campus, 2017)
    The mounting customer demands for bandwidth-desirous services are deriving for a cost effective, robust, and high capacity wireless access network. The end users expect a satisfactory and economical delivery of “Quad-play” ...
  • Hafsah Ahmad; Aqsa Shakeel; Syed Omer Gillani; Umer Ansari; Abubakar Yamin (Bahria University Islamabad Campus, 2014)
    This paper proposes an image processing technique for the detection of glaucoma which mainly affects the optic disc by increasing the cup size. During early stages it was difficult to detect Glaucoma, which is in fact ...
  • Muhammad Kashif Naseer; Sohail Jabbar; Dr. Irfan Zafar (Bahria University Islamabad Campus, 2014)
    In this article we have proposed a model which will help the Cloud Service Users (CSUs) in finding out the efficient and trustworthy Cloud Service Provider (CSP) on the basis of data taken from regulatory authorities, ...
  • Khurrum Mustafa Abbasi; Irfan ul Haq; Ahmad Kamran Malik; Shehzad Khalid; Saba Fazil; Hanif Durad (Bahria University Islamabad Campus, 2014)
    Service-oriented architecture may be regarded as an incubator for small resources entrepreneurs to bid and work on bigger projects. It also helps large enterprise to trade their resources at various levels. This has opened ...
  • Uzma Jamil; Shehzad Khalid (Bahria University Islamabad Campus, 2014)
    The major branch of data mining used to assign raw data to a particular group is classification. It is a method used to forecast the group association for data objects. Medical Imaging is dealing with the designing of ...
  • Mazhar Iqbal Rana; Shehzad Khalid; Muhammad Usman Akbar (Bahria University Islamabad Campus, 2014)
  • Sadaf Sajjad; Shehzad Khalid (Bahria University Islamabad Campus, 2014)
    In this paper, we propose a noise removal approach that significantly improves the performance of sophisticated shape matching techniques. Existing shape matching techniques focus on complex algorithms without giving much ...
  • Khurram Shahzad; Bengt Oelmann (Bahria University Islamabad Campus, 2014)
    Wireless sensor nodes, as typically realized using IEEE 802.15.4 compatible low-power radio transceivers that offer limited throughput, are generally applicable to low-data rate intermittent monitoring applications. In ...
  • Khurram Shahzad; Bengt Oelmann (Bahria University Islamabad Campus, 2014)
    In order to achieve the high-processing performance required in typical computationally intensive high-sample rate monitoring applications, a Field Programmable Gate Array (FPGA) is often used as a hardware accelerator. ...
  • Suleman Awan; M. Ali Rafique (Bahria University Islamabad Campus, 2014)
    Wireless Sensor Networks (WSNs) are being used everywhere around us whether it be a smart office or an application related to environmental monitoring, healthcare, surveillance, education and training. Most of the time ...
  • Dr Shehzad Khalid; Shahid Razzaq (Bahria University Islamabad Campus, 2015)
    This paper identifies a previously undiscovered behavior of uniformly distributed data points or vectors in high dimensional ellipsoidal models. Such models give near normal distributions for each of its dimensions. Converse ...
  • Abdul Waheed Malik; Benny Thornberg; Qaisar Anwar; Tor Arne Johanson; Dr Shehzad Khalid (Bahria University Islamabad Campus, 2015)
    This paper presents the design and real-time decoding of a color symbol that can be used as a reference marker for optical navigation. The designed symbol has a circular shape and is printed on paper using two distinct ...
  • Dr Shehzad Khalid; Sidra Muneer; Magnus Eriksson (Bahria University Islamabad Campus, 2015)
    The multi-hop ad-hoc networking paradigm is expected to be a key feature in future wireless communication systems. In a typical data broadcast scenario, multi-hop ad-hoc routing protocols allow devices (called nodes in ...
  • Mazhar iqbal rana; Dr. Shehzad khalid2; Fizza Abid; Armughan Ali; Mehr Yahya Durrani; Farhan Aadil (Bahria University Islamabad Campus, 2015)
    This paper is aimed at news classification on basis of their headlines. Researchers have worked a lot for carrying out news classification at full text level but work in the domain of news headlines classification exists ...
  • Dr Shehzad Khalid; Uzma Naqvi; Sana Shokatb (Bahria University Islamabad Campus, 2015)
    This paper reviews various text independent writer identification techniques through offline documents. Different features extraction methods are discussed. Classification approaches that are mainly used for identification ...
  • Dr Shehzad Khalid; Israr-ud-din; Imran Siddiqi (Bahria University Islamabad Campus, 2015)
    This paper presents a technique for segmentation of printed Urdu text images into lines and ligatures, a key pre-processing step in Urdu Optical Character Recognition (OCR) systems. Unlike classical projection profile based ...
  • Dr Shehzad Khalid; Israr Uddin Khattak; Imran Siddiqi; Chawki Djeddi (Bahria University Islamabad Campus, 2015)
    This paper presents an effective segmentation-free and scale-invariant technique for recognition of Urdu ligatures in Nastaliq font. The proposed technique relies on separating the main body of ligatures from the secondary ...
  • Dr Shehzad Khalid; Uzma Naqvi; Imran Siddiqi (Bahria University Islamabad Campus, 2015)
    Identification of individuals from handwritten documents using automated recognition systems has gained significant research interest due to the wide variety of applications it offers for forensic analysis, signature ...
  • Dr Shehzad Khalid; Uzma Jamil (Bahria University Islamabad Campus, 2015)
    The bio-medical investigation from images through computational techniques is very common in these days. Automatic Lesion extraction from skin, is very important to aid the dermatologists in the diagnosis of cancer part ...
  • Dr Shehzad Khalid (Bahria University Islamabad Campus, 2015)
    In this paper, we introduced a classifier ensemble approach to combine heterogeneous classifiers in the presence of class label noise in the datasets. To enhance the performance of classifier ensemble, we give a preprocessing ...

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