• Promoting Collaborative Construction Process Management by Means of a Normalized Workload Approach 

  Christoph P. Schimanski; Carmen Marcher; Patrick Dallasega; Elisa Marengo; Camilla Follini; Arif U. Rahman; Andrea Revolti; Werner Nutt; Dominik T. Matt (Bahria University Islamabad Campus, 2018)

  The research project »COCkPiT« - Collaborative Construction Process Management - aims at developing methodologies and tools to enhance time and budget control in construction projects, with a focus on small and medium-sized ...
• Data Driven Feature Extraction for Gender Classification using Multi-script Handwritten Texts 

  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 ...
• Feature Extraction for Cursive Language Document Images 

  Maria Siddiqui; Imran Siddiqi; Khurram Khurshid (Bahria University Islamabad Campus, 2018)

  The efficiency of any machine learning and computer vision system depends largely on the robustness of feature extraction and selection process. In word spotting applications, many appropriate features have been proposed ...
• Urdu Caption Text Detection using Textural Features 

  Ali Mirza; Marium Fayyaz; Zunera Seher; Imran Siddiqi (Bahria University Islamabad Campus, 2018)

  The amount of multimedia data has increased manifolds in the recent years. This calls for development of efficient retrieval techniques. Among various aspects of content based retrieval, textual content appearing in videos ...
• Extension of Localized Routing to PMIP-SAE based Mobile Networks 

  Moneeb Gohar; Muhammad Muzammal; Arif-ur-Rahman; Jin-Ghoo Choi; Seok-Joo Koh (Bahria University Islamabad Campus, 2018)

  In existing PMIP-SAE based mobile networks, all the communication traffic go through the centralized Local Mobility Anchor (LMA). Hence the central node, LMA, suffers from huge packet processing overhead and the traffic ...
• Energy Efficient Cluster Based Routing Algorithm for Wireless Sensors Networks 

  Khalid Mahmood Awan; Ahmad Ali; Farhan Aadil; Kashif Naseer Qureshi (Bahria University Islamabad Campus, 2018)

  Sensor based smart devices are becoming integral part of our life. With the advancement in sensor devices various automated systems based on sensors have been emerged. These systems automatically perform tasks on the basis ...
• Term-Based Approach for Linking Digital News Stories 

  Muzammil Khan; Arif Ur Rahman; Muhammad Daud Awan (Bahria University Islamabad Campus, 2018)

  The World Wide Web has become a platform for news publication in the past few years. Many television channels, magazines and newspapers have started publishing digital versions of the news stories online. It is observed ...
• An Energy and Link Aware Next Node Selection Protocol for Body Area Networks 

  Kashif Naseer Qureshi; Faisal Bashir; Abdul Hanan Abdullah (Bahria University Islamabad Campus, 2018)

  Wireless Body Area Networks (WBANs) are designed for sensing the patient vital signs and forward the data to medical doctors or medical centers for further process. The small size intelligent sensor nodes are planted inside ...
• Oriented Basic Image Features Column for isolated handwritten digit 

  Abdeljalil Gattal; Chawki Djeddi; Youcef Chibani (Bahria University Islamabad Campus, 2017)
• MCS: Multiple Classifier System to Predict the Churners in the Telecom Industry 

  Mehreen Ahmed; Imran Siddiqi; Hammad Afzal; Behram Khan (Bahria University Islamabad Campus, 2017)

  Multiple classifiers for prediction or classification has gained popularity in recent years. Ensemble Technique perform best predictions as compared to traditional classifiers. This has resulted in the experimentation ...
• Segmentation and Recognition of Electronic Components in Hand-Drawn Circuit Diagrams 

  Momina Moetesum; Syed Waqar Younus; Muhammad Ali Warsi; Imran Siddiqi (Bahria University Islamabad Campus, 2017)

  This paper presents an effective technique for segmentation and recognition of electronic components from hand-drawn circuit diagrams. Segmentation is carried out by using a series of morphological operations on the binarized ...
• Classification of Urdu Ligatures Using Convolutional Neural Networks A Novel Approach 

  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 ...
• A Holistic Approach for Recognition of Complete Urdu Ligatures using Hidden Markov Models 

  Israr Uddin; Imran Siddiqi; Shehzad Khalid (Bahria University Islamabad Campus, 2017)

  Optical Character Recognition (OCR) is one of the continuously explored problems. Presently, commercial character recognizers are available reporting near to 100% recognition rates on text in a number of scripts. Despite ...
• Sketch-based Facial Expression Recognition for Human Figure Drawing Psychological Test 

  Momina Moetesum; Tasneem Aslam; Hassan Saeed; Imran Siddiqi; Uzma Masroor (Bahria University Islamabad Campus, 2017)

  Drawing tests have been long used by practitioners for early screening of a number of psychological and neurological impairments. These brain functioning tests are used by psychologists to understand feelings, personality ...
• Digital Beethoven An Android Based Virtual Piano 

  Hira Begum; Saima Shaheen; Momina Moetesum; Imran Siddiqi (Bahria University Islamabad Campus, 2017)

  Smart phones with high resolution cameras have enabled innovative computer vision applications that apply techniques like real-time image processing and virtual reality to provide a close approximation of reality. In this ...
• Comparative Study on Clustering Techniques for Urdu Ligatures in Nastaliq Font 

  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. ...
• An Intelligent Hybrid Approach to Encounter Coverage Holes for Wireless Sensor Nodes Deployment in the Field 

  Raja Waseem Anwar; Anazida Zainal; Majid Bakhtiari; Kashif Naseer Qureshi (Bahria University Islamabad Campus, 2017)

  Wireless sensor nodes have been deployed in the fields for sensing and monitoring the surrounding environment for the specific purpose. Deployment of sensors in the field is more challenging due to area coverage for ...
• Provision of Security in Vehicular Ad hoc Networks through An Intelligent Secure Routing Scheme 

  Kashif Naseer Qureshi; Faisal Bashir; Abdul Hanan Abdullah (2017)

  Vehicular Ad hoc Networks (VANETs) are providing road management systems by a wide variety of different value-added safety and infotainment applications. The main aim of these networks is to provide data communications ...
• Augmented Reality Based Self-Treatment Using Acupressure 

  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 ...
• Digital Beethoven - An Android Based Virtual Piano 

  Hira Begum; Saima Shaheen; Momina Moetesum; Imran Siddiqi (Bahria University Islamabad Campus, 2017)

  Smart phones with high resolution cameras have enabled innovative computer vision applications that apply techniques like real-time image processing and virtual reality to provide a close approximation of reality. In this ...

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