NUST Institutions Library Catalogue Search for 'kw,wrdl: (su-br:"Kashif")'

Implementation of gradient broadcast (GRAB) in NS-2 and simulation construction

By Arsalan Ahmed Zaki.. Islamabad : NUST School of Electrical Engineering & Computer Science, 2004 . x, 56 p. : , Supervisors : Mr. Kamran Shafi, Mr. Kashif Sharif. 27 cm. +.

Place Hold on Implementation of gradient broadcast (GRAB) in NS-2 and simulation construction

Service quality assessment of cellular broadband in Pakistan

By Tayyab Arshad. Islamabad NUST-SEECS 2015 . 52p. , Supervisors:Dr. Saad bin Qaisar, Dr. Ali Haider, Dr. Sarah Shafiq Khan, Dr. Kashif Sharif

Place Hold on Service quality assessment of cellular broadband in Pakistan

Brain Tumor Segmentation from Multi-modality MRI Scans Using Machine Learning

By Khalid Usman. Islamabad NUST-SEECS 2015 . 47p. , Supervisors: Dr. Kashif Mahmood Rajpoot, Dr. Muhammad Muneeb ullah, Dr. Rafia Mumtaz, Dr. Moazam Faraz

Place Hold on Brain Tumor Segmentation from Multi-modality MRI Scans Using Machine Learning

The Military 100 a ranking of the most influential military leaders of all time /

By Lanning, Michael Lee. Barnes & Noble Books Newyork Services Book Club 2000 . xii, 372 p 0760712794

Place Hold on The Military 100

Design & Development of a Suspended Bridge and Themal Isolation Structure for Microbolometer IRFPA/

By Kashif Rahim. Islamabad : CEME NUST, 2014 . xiv, 95p. : ill. ; , Hardcover 30cm.

Place Hold on Design & Development of a Suspended Bridge and Themal Isolation Structure for Microbolometer IRFPA/

ANALYSIS OF EXPRESSION AND ACTIVITY OF INDOLEAMINE 2,3-DIOXYGENASE IN BREAST CANCER PATIENTS FROM PAKISTAN

By Asim Farooq. Islamabad : SMME - NUST, 2018 . xvii, 57 p. ; ill. : , Hardcover. 30 cm..

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TH-SOF-1110-MLE-MFNR based Image enhancement for in-vivo breast cancer screening using Digital Image Elasto-tomography (DIET) system

By Owais Nazir. Islamabad NUST College of EME 2015

Place Hold on TH-SOF-1110-MLE-MFNR based Image enhancement for in-vivo breast cancer screening using Digital Image Elasto-tomography (DIET) system

PR-SOF-1588- DEVELOPMENT OF FUNCTIONAL NEAR INFRARED SPECTROSCOPY (FNIRS) BASED SYSTEM FOR DETECTION OF DISTINCTIVE BRAIN SIGNAL PATTERNS

By NC Zargam Ullah NC Muhammad Usama NC Kashif Ali . ISLAMABAD NUST COLLEGE OF EME 2017

Place Hold on PR-SOF-1588- DEVELOPMENT OF FUNCTIONAL NEAR INFRARED SPECTROSCOPY (FNIRS) BASED SYSTEM FOR DETECTION OF DISTINCTIVE BRAIN SIGNAL PATTERNS

TH-SOF-0978-DESIGN AND DEVELOPMENT OF A SUSPENDED BRIDGE AND THERMAL ISOLATION STRUCTURE FOR MICROBOLOMETER IRFPA

By KASHIF RAHIM . NUST COLLEGE OF EME ISLAMABAD 2001

Place Hold on TH-SOF-0978-DESIGN AND DEVELOPMENT OF A SUSPENDED BRIDGE AND THERMAL ISOLATION STRUCTURE FOR MICROBOLOMETER IRFPA

Shameful flight : the last years of the British Empire in India /

By Wolpert, Stanley A.,. Oxford ; | New York : Oxford University Press, 2006 . xii, 238 p., [16] p. of plates : 24 cm.. 0195151984 (alk. paper) | 9780195151985

Place Hold on Shameful flight :

Enhancing Tumor Segmentation in 3D MRI Scans with YOLOv8 And Volumetric segmentation: A Computational Efficient Approach /

By Abdullah. . 71p. ; 30cm..

Place Hold on Enhancing Tumor Segmentation in 3D MRI Scans with YOLOv8 And Volumetric segmentation: A Computational Efficient Approach /

Early Detection & Stage Classification of Parkinson’s Disease using Deep Learning /

By Zeeshan, Muhammad Muzzamil . . 38p. ; 30cm..

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Brain Tumor Segmentation using CT Hybrid

By Siddiqah, Mariyam . . 30p. 30cm.

Place Hold on Brain Tumor Segmentation using CT Hybrid

Multimodal 3D-MRI Brain Tumor Segmentation via Modified 3D U-Net with Transformer /

By Khan, Hussain Nasir . . 61p. 30cm.

Place Hold on Multimodal 3D-MRI Brain Tumor Segmentation via Modified 3D U-Net with Transformer /

Numerical Investigation of Vortex Induced Vibration of Rotating Circular Cylinder in Stream Wise Direction Subject to Oscillatory Flow /

By Kashif, Muhammad. . 71p. ; 30cm..

Place Hold on Numerical Investigation of Vortex Induced Vibration of Rotating Circular Cylinder in Stream Wise Direction Subject to Oscillatory Flow /

Multimodal Segmentation of Brain tumor using BraTS dataset 2020 /

By Saeed, Aniqa . . 60p. ;

Place Hold on Multimodal Segmentation of Brain tumor using BraTS dataset 2020 /

Analysis of Adhesive Joints using Digital Image Correlation (DIC) /

By Farooq, Muhammad Kashif . . 83p. , In this study, the effect of cork particles on the failure behavior of SLJs was investigated experimentally through tensile testing and non-contact digital image correlation (DIC) methods. Cork particles within size range of 125-250 μm were added at 0, 0.25, 0.50, 0.75 and 1.0% wt. in a brittle epoxy. SLJs with and without cork particles were tested under a displacement control condition of 1.3 mm/min and digital images were captured during the deformation in order to analyze the fracture process. VIC 2D 7 software was used to determine the peel and shear strain distributions in the overlapped area of bonded joints. Tensile test and DIC results reveal that cork particles enhance the strength and ductility of adhesive joints. However, the effect of cork particles on ductility is more significant than strength of joint. The visual inspection of the captured images shows cork particles act as crack stopper and slow down the crack propagation along the bondline. 30cm.

Place Hold on Analysis of Adhesive Joints using Digital Image Correlation (DIC) /

Automatic Detection and Recognition of Citrus Fruits Diseases Using Deep Learning Model /

By Faisal, Shah . . 59p. , In a country's economy, agriculture plays a very vital role. Agriculture's yield and production are reduced by plant diseases, resulting in significant economic losses and instability in the food market. In plants, the citrus fruit crop is one of the most important agricultural products in the world, produced and grown in around 140 countries. It has a lot of nutrients, such as vitamin C. However, due to pests and diseases, citrus cultivation is widely affected and suffers significant losses in both yield and quality. The majority of plant diseases exhibit visible symptoms, and the accepted method used today is for a skilled plant pathologist to detect the diseases by examining affected plant leaves under a microscope, which is a costly and time-consuming method. During the last decade, computer vision and machine learning have been widely adopted to detect and classify plant diseases, providing opportunities for early disease detection and bringing improvements to agricultural production. The early detection and accurate diagnosis of plant diseases are essential for reducing their spread and damage to crops. In this work, we presented an automatic system for early detection and recognition of citrus plant diseases based on a deep learning (DL) model to improve accuracy and reduce computational complexity. The most recent transfer learning-based models were applied to our dataset in order to increase classification accuracy. In this work, we successfully proposed a CNN-based pre-trained model (EfficientNetB3, ResNet50, MobiNetV2, (InceptionV3) for the identification and classification of citrus plant diseases using transfer learning. In order to assess the performance of the model, we found that the transfer of an EfficientNetb3 model led to the highest training, validating, and testing accuracies, which were 99.43%, 99.48%, and 99.58%, respectively. The proposed CNN model exceeds other cutting-edge CNN network architectures developed in earlier literature in the identification and categorization of citrus plant diseases. 30cm.

Place Hold on Automatic Detection and Recognition of Citrus Fruits Diseases Using Deep Learning Model /

Development of High-Resolution Imaging System for Blood Activity Monitoring /

By Qasim, Syed Muhammad Ali . . 46p. , fNIRS is a non-invasive, portable & easy to use brain imaging modality. It can estimate the hemodynamic response of the brain by measuring the absorption of IR light with respect to time. The standard channel separation between source & detector in fNIRS is 3cm but this distance has a disadvantage of higher channel noise. To resolve the issue, we have presented a new fNIRS design with small channel separation to minimize the channel noise. In this research, we have designed the fNIRS device using 2 sources & 14 detectors in a circular configuration. The detectors are placed in two circles each circle having 7 LEDs with a radius of 1.5cm & 2.25cm respectively. After the software design, we implemented it on a hardware & tested the device using occlusion. Once the device got tested through occlusion, we acquired the brain signals by placing it on the left frontal cortex. After placing the device on the frontal cortex, we reverse counted for 200sec with rest & count intervals. The whole experimental design is described in the sections below. We applied Modified Beer Lambert Law (MBLL) to deduce results. The results proved to be promising as the channel noise reduced & we got better signals. The results can be improved further by using the high-power IR LEDs having better penetrating ability 30cm.

Place Hold on Development of High-Resolution Imaging System for Blood Activity Monitoring /

Spare /

By Harry,. . 410 pages : 25 cm. 9780593593806 | 0593593804

Place Hold on Spare /

E-Brand Hate and E-Brand Cancellation of Online Dating Show: The Role of Ideological incompatibility, Symbolic Incongruity and Advertising Incongruity in a moderation of Moral Courage/

By Sidra Til Muntaha, .

Place Hold on E-Brand Hate and E-Brand Cancellation of Online Dating Show: The Role of Ideological incompatibility, Symbolic Incongruity and Advertising Incongruity in a moderation of Moral Courage/