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Browsing Departmental Publications (BUIC) by Subject "Department of Computer Science CS"
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H. O. Alanazi; A. H. Abdullah; K. N. Qureshi; A. S. Ismail
(Bahria University Islamabad Campus, 2017)
Introduction Information and communication technologies
(ICTs) have changed the trend into new integrated operations
and methods in all fields of life. The health sector has also
adopted new technologies to improve the ...
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Imran Shafi; Muhammad Noman; Moneeb Gohar; Awais Ahmad; Murad Khan; Sadia Din; Syed Hassan Ahmad; Jamil Ahmad
(Bahria University Islamabad Campus, 2017)
Transform-based techniques partially address challenges like robustness and the imperceptibility in image steganography. Such approaches, however, increase the memory requirement and reduce the quality of the cover image ...
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Samabia Tehsin; Sumaira Kausar
(Bahria University Islamabad Campus, 2017)
The vital objective of artificial intelligence is to discover and understand the human competences, one of which is the capability to distinguish several text objects within one or more images exhibited on any canvas ...
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Momina Moetesuma; Imran Siddiqia; Nicole Vincentb; Florence Cloppetb
(Bahria University Islamabad Campus, 2018)
Parkinson’s disease (PD) is a degenerative disorder that progressively affects the central nervous system causing muscle rigidity, tremors, slowed movements and impaired balance. Sophisticated diagnostic procedures like ...
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S. Kausar; M. K. Multani; B. Zahoor; A. Nazeer
(Bahria University Islamabad Campus, 2017)
Acupressure is an ancient Asian method of relieving pain and curing diseases. This paper presents our work on customized Augmented Reality Based Self-Treatment Using Acupressure (ARBASTUA) that uniquely uses facial symmetry ...
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Imran Siddiqi; Chawki Djeddi; Ahsen Raza; Labiba Souici meslati
(Bahria University Islamabad Campus, 2014)
This paper presents a study to predict gender of individuals from scanned images of their handwritings. The proposed methodology is based on extracting a set of features from writing samples of male and female writers and ...
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Moneeb Gohar; Syed Hassan Ahmed; Murad Khan; Nadra Guizani; Awais Ahmed; Arif Ur Rahman
(Bahria University Islamabad Campus, 2018)
The SK Telecom Company of South Korea recently introduced the concept of IoST to its business model. The company deployed IoST, which constantly generates data via the LoRa wireless platform. The increase in data rates ...
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M. Ramzan; Naeem Ullah; Jae Dong Chung; Dianchen Lu; Umer Farooq
(Bahria University Islamabad Campus, 2017)
A mathematical model has been developed to examine the magneto hydrodynamic micropolar nanofluid flow with buoyancy effects. Flow analysis is carried out in the presence of nonlinear thermal radiation and dual stratification. ...
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Saleem Iqbal; Abdul Hanan Abdullah; Kashif Naseer Qureshi
(Bahria University Islamabad Campus, 2017)
Wireless Mesh Networks have emerged as an architectural shift from traditional wire- less networks for providing ubiquitous coverage. The mesh routers equipped with multiple 802.11 commodity network cards provide high ...
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Haris Bin Nazar; Momina Moetesum; Shoaib Ehsan; Imran Siddiqi; Khurram Khurshid; Nicole Vincent; Klaus D. McDonald-Maier
(Bahria University Islamabad Campus, 2017)
Graphomotor impressions are a product of complex cognitive, perceptual and motor skills and are widely used as psychometric tools for the diagnosis of a variety of neuro-psychological disorders. Apparent deformations in ...
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Nizwa Javed; Safia Shabbir; Imran Siddiqi; Khurram Khurshid
(Bahria University Islamabad Campus, 2017)
Urdu Nasteleeq text recognition is one of the very challenging problems in document image processing. The cursive nature of Urdu script makes character segmentation very difficult. Therefore, most of the researchers have ...
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Kashif Naseer Qureshi; Abdul Hanan Abdullah; Faisal Bashir; Saleem Iqbal; Khalid Mahmood Awan
(Bahria University Islamabad Campus, 2018)
Information and communication technologies have changed the way of operations in all fields. These technologies also have adopted for wireless communication and provide low cost and convenient solutions. Vehicular ad hoc ...
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Shariq Bashir
(Bahria University Islamabad Campus, 2014)
Predicting the effectiveness of queries plays an important role in information retrieval. In recent years, a number of methods are proposed for this task, however, there has been little work done on combining multiple ...
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Safia Shabbir; Nizwa Javed; Imran Siddiqi; Khurram Khurshid
(Bahria University Islamabad Campus, 2017)
Clustering is a pivotal step in any Optical Character Recognition (OCR) or Word Spotting system. It serves as a base for the classification and indexing of different words or characters depending upon the level of segmentation. ...
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D.C. Lu; U. Farooq; T. Hayat; M.M. Rashidi; M. Ramzan
(Bahria University Islamabad Campus, 2018)
Multi-layer flows regime occurs in many industrial processes such as petroleum and chemical industry, therefore the study of multi-layer flow in the presence of nanoparticles can be used to obtain desired qualities. This ...
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Sarmad Shafique; Samabia Tehsin
(Bahria University Islamabad Campus, 2018)
Leukaemia is a form of blood cancer which affects the white blood cells and damages the bone marrow. Usually complete blood count (CBC) and bone marrow aspiration are used to diagnose the acute lymphoblastic leukaemia. It ...
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Saleem Iqbal; Abdul Hanan Abdullah; Faraz Ahsan; Kashif Naseer Qureshi
(Bahria University Islamabad Campus, 2017)
Wireless Mesh Networks (WMN) is a key backhaul technology used in 802.11 networks to provide ubiquitous coverage to isolated areas that require highspeed connectivity. The multi-radio feature of WMN has enabled the mesh ...
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Hamdan O. Alanazi; Abdul Hanan Abdullah; Kashif Naseer Qureshi
(Bahria University Islamabad Campus, 2017)
Recently, Artificial Intelligence (AI) has been used widely in medicine and health care sector. In machine learning, the classification or prediction is a major field of AI. Today, the study of existing predictive models ...
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Momina Moetesum; Imran Siddiqi; Chawki Djeddi; Yaacoub Hannad; Somaya Al-Maadeed
(Bahria University Islamabad Campus, 2018)
This paper presents a study on assessing the effectiveness
of machine learned features to predict gender of
writers from images of handwriting. Pre-trained Convolutional
Neural Networks have been employed as feature ...
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Zumra Malik; Imran Siddiqi
(Bahria University Islamabad Campus, 2014)
Automatic detection and recognition of road signs is an important component of automated driver assistance systems contributing to the safety of the drivers, pedestrians and vehicles. Despite significant research, the ...