Department of Computer Science

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Author: search.filters.author.Dr. Amjad AliSubject: search.filters.subject.Fa18

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    Smart System for Medical Expertise Assistance
    (Library Information Services, COMSATS University Islamabad, Lahore Campus, 2021) Amina Islam; FA18-RCS-016; LHR TP 7596; Dr. Amjad Ali
    The computer-based techniques are more suitable for feature extraction, and classification. The proposed CAD (Computer Aided Diagnosis) system addresses the several steps such as preprocessing, feature extraction, and classification. Though many commercial CAD systems are available, identification of subtle signs for many diseases detection and classification remains difficult. The proposed system presents some advanced techniques in medical imaging to overcome these difficulties. The past decade has seen the growing popularity of Bag of Features (BoF) approaches to many computer vision tasks, including image classification, video search and texture recognition. BoF methods are based on order less collections of quantized local image descriptors; they discard spatial information and are therefore conceptually and computationally simpler than many alternative methods. Despite this, or perhaps because of this, BoF-based systems have set new performance standards on popular image classification benchmarks and have achieved scalability breakthroughs in image retrieval. Emphasis is placed on recent techniques that mitigate quantization errors, improve feature detection, and speed up image retrieval. Among the unresolved issues are determining the best techniques for sampling images, describing local image features, and evaluating system performance. Among the more fundamental challenges are how and whether BoF methods can contribute to localizing objects in complex images, or to associating high-level semantics with natural images.
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    Feasibility Test of mm-wave in Futuristic Wireless Applications
    (Library Information Services, COMSATS University Islamabad, Lahore Campus, 2021) Muhammad Zaman Aslam; FA18-RCS-030; LHR TP 7294; Dr. Amjad Ali
    In the growth of technology and increasing demands of data intensive applications in terms of high throughput and low latency explains the evolution of telecommunication network standards. The next fifth generation wireless networks will satisfy the increasing demands of data hungry applications like (autonomous vehicles, drones, augmented and virtual reality etc.) also introduces itself with exciting new features.5G has emerged with exciting new applications and features because of high data rate and low latency support. Mm-wave is one of the strong candidate to support 5G wireless communications. This study will figure out that: are mm-waves are able to support high data rates during the mobility of low/moderate/high velocity of users. Also time critical applications i.e. drones, autonomous vehicles support high data rates and low latency. This will be done with the help of simulation tool. Network Simulator-3 (NS3) simulation tool will be used for the representation of facts and figures. This work will open new ways for future 6G research.