NUST Institutions Library Catalogue Search for 'au:"Muhammad Afzal"'

HL7 version 3 based message interfacing solution for laboratory domain

By Muhammad Afzal. Islamabad : NUST School of Electrical Engineering & Computer Science, 2009 . xi, 81 p. : , Supervisor : Dr. Hafiz FAro. Ahmad 27 cm..

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SaaS (Software as a service) based practice management system (PMS)

By Ajab Ali Abro. Islamabad NUST-SEECS 2012 . 85 , Supervisors: Dr. Ali Mustafa, Saad Arshed

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Development of verification and debugging tool for RTL codes in Verilog HDL using co-simulation with C language model /

By Touheed , Hassaan NC (TCC-9). Rawalpindi MCS (NUST) 2001 . 61p.;

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Noise Removal & Data Transmission Over HF Radio Set PK-786 / Major Muhammd Afzal Hassan Hotiana, Major Muhammd Adil Bukari, Capt Mazhar Abbas and Capt Sajjad Khan

By Hassan, Maj Muhammad Afzal (TE-43-B). Rawalpindi MCS 2010 . 63 p.;

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Saqoot-e-Baghdad Se Sakoot-e-Dhaka tak سقوط بغداد سے سقوط ڈھاکہ تک /

By Mian Muhammad Afzal. Lahore Al Fasial 2005 . 1,563 p

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Green Revolution........W. Pakistan

By Muhammad Afzal. Institute of E Develpment

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Study of ejector nozzle G-22

By Muhammad Afzal;. Karachi NED University 1985 . viii, 52 p. , BE Project Reports

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Destiny to despair; a ride down the declivity

By Tahir, Afzal Muhammad (admiral (R). Lahore Paramount Books 2015 . xv, 224 p.

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Design and Construction of a Digital Thermometer 14 'B' EC

By Muhammad Afzal,Prof Pir Muzaffar(Advisor). Islamabad NUST 1981 . v,77p.

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Mor ghar ah /

By Shahid, Muhammad Afzal. :سچیت کتاب گھر لہور 2000 . 176p. : , Paperback

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Zarafat-o-Haqiqat /

By Wark, Muhammad Afzal. Lahore : Ilm-o-Irfan Publishers, 2007 . 120 p. ; , Hardcover.

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Rayleigh-Lamb Frequency Spectrum for Isotropic Material /

By Awan, Muhammad Afzal. Islamabad : CAMP - NUST, 2012 . 49 p. ; ill. ; , Hardcover. 30cm..

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Rayleigh-Lamb Frequency Spectrum for Isotropic Materials /

By Awan, Muhammad Afzal. Islamabad : CAMP - NUST, 2010 . v, 49 p. : ill. ; , Hardcover. 30cm..

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Galan Dy Parchawaa /

By Afzal, Muhammad. Lahore : Suchet Kitab Ghar, 2000 . 176 p. ;

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Sakoot e Baghdad Say Sakoot e Dhaka Tak

By Mian Muhammad Afzal. Lahore 2008 . 565p. : 22cm.

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Resolvability in Wheel Related Graphs and Nanostructures /

By Siddiqui, Hafiz Muhammad Afzal. Islamabad: SNS- NUST, 2015 . 88 p. : 30cm..

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An Expert system for assessment of trafficability

By Muhammad afzal. . 186p.: 40cm..

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An Expert system for assessment of soil trafficability

By Muhammad Afzal . Risalpur MCE 1997 . 187p.: 40cm..

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PR-SOF-1816-TEMPERATURE DISTRIBUTION ON THE SURFACE OF CONDI NOZZLE WITH HEAT CONDUCTING WALL

By USMAN AZIZ MUHAMMAD JUNAID ELLAHI MIRZA ABDULLAH SAAD ADEEL . ISLAMABAD NUST COLLEGE OF EME 2019

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CHITRAL AND KAFIRISTANA PERSONAL STUDY

By KHAN, MUHAMMAD AFZAL. RAWALPINDI ARMY EDUCATION PRESS 1980 . 100P

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CHITRAL AND KAFRISTAN A PERSONAL STUDY

By KHAN, MUHAMMAD AFZAL. RAWALPINDI ARMY EDUCATION PRESS 1980 . 100P

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Elements of numerical anaylsis

By Dr. Faiz Ahmad Muhammad Afzal Rana. RAWALPINDI NATIONAL BOOK FOUNDATION 1995 . 296P

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Saqoot-e-baghdad say saqoot-e-dakha tak

By Mian Muhammad Afzal. LAHORE ALFAISAL 2000 . 560P 969-503-131-5

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Finite difference methods for partial differential equations /

By Rana, Muhammad Afzal . Islamabad : Higher Education Commission, 2011 . 329p. ; 24 cm.. 9789694171531

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Electricity theft detection and quantification at utility transformers interfaced to feeder station /

By Muhammad Afzal (00000203678). USPCAS-E, NUST, Islamabad : 2019 . 44 p.

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Classification of Live Video Stream from Pakistani News Channels (Urdu) using Deep Learning Latest Techniques /

By Afzal, Muhammad . . 134p. , In our contemporary era, information is of prime importance and its dominant use by social media and TV channels for making public opinion and cultural influence is quite evident. Videos form the major portion of media and contain more elaborate information than a single image. Today, videos are piling up in millions every day and their segregation, classification and analysis are upheaval tasks. Live TV video stream contains voice, metadata and image frames full of multiple information including written scripts etc. which can contribute to video classification. But utilization of each type of data we need to do a separate study. However, we have focused on classification of video stream using deep learning (DL) neural networks which are well established solutions for images and small videos classification and gesture recognition. In our study, we have suggested a mechanism for classification of big or live video streams obtained from Pakistani TV News Channels into 5 classes (Advertisement, News, Talk Show, Sports & Entertainment Program) using supervised DL pretrained neural networks. Due to non-availability of authentic dataset on this subject, we have created a customized data of videos recorded (approximately 335 hours videos) from various sources like different TV channels‘ websites and YouTube. Videos were processed to extract image frames to prepare a trainable dataset. For our experimentation, we have mainly used pretrained ResNet variants (ResNet18, ResNet34, ResNet50, ResNet101 & ResNet152) on ImageNet dataset and few other models like AlexNet, ConvNeXt_Tiny, DenseNet121, SqueezeNet and VGG11 for comparison purposes. Then modified the last classification layer of the network as per number of target classes and finetuned all weights of neural network on the subject dataset. We carried out various experiments on these neural networks and achieved quite encouraging results having accuracies ranging from 95% to 99%. For testing of videos on trained models, dynamic averaging time domain window was applied to diminish the jitters in the output results. This can be useful in many other applications as well including social media & advertisements analysis, classification of small videos, industrial and business automation etc. 30cm.

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PR-SOF-2322-Doppler Ultrasound Fetal Heart Rate Instrument with AI Interface

By Shahzaib Ali Rao Abdul Sami Muhammad Afzal. ISLAMABAD: NUST COLLEGE OF EME, 2023

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Zikir-e-Khair ul Wara

By Muhammad Afzal Qaadri. Lahore Nooria Razwia Pablications, 2000

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qaboos naama/

By Afzal, Mian Muhammad . Lahore; AL Faisal Nashran, 2011 . 238 24cm.. 9695033644

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