NUST Institutions Library Catalogue Search for 'au:"Mubeen"'

Material Science

By Mubeen. New Delhi : Khanna Publishers, 2006 . 719p. : 21 cm. 8174090355

Navigation of robort through character recognition

By Mubeen Ghafoor.. Islamabad : NUST School of Electrical Engineering & Computer Science, 2005 . xi, 87 p. : , Supervisors : Mr. Muhammad Atif, Mr. Kamran Munir. 27 cm. +.

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DIgital Evidence from Storage Media

By Mubeen Javed. Islamabad, NUST School of Electrical Engineering & Computer Science, 2008 . 140 p. : , Supervisors : Dr. Fauzan Mirza, Dr. Syed Ali Khayam. 27 cm. +.

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Adaptive digital calibration and decimation filter design for delta sigma ADC

By Mubeen Tayyab. Islamabad NUST-SEECS 2014 . 34 , Supervisors:Dr. Awais M. Kamboh, Dr. Nasir ur Din Gohar, Dr. Rehan Hafiz, Dr. Khawar Khurshid

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3D profile digitizer

By Abdul Rehman Anwar. Islamabad NUST-SEECS 2015 . 51 , Supervisors:Dr. Rehan Hafiz, Dr. Khawar Khurshid, Dr. Hammad Cheema

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E-Volunteers

By Maham Zaidi ; Fatima, Mubeen. Islamabad NUST-SEECS 2015 . PV

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Mechanics Of solids /

By Mubeen , Abdul . New Delhi : Pearson , 2015 . 653 p. ; , Paperback. 978-81-317-5888-5

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Desalination by Questions and Answers

By Mubeen, Fayyaz Muddassir. 2006

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GIS based cadastral management & military planning system

By Ahmad, Amna BESE-08. MCS 2006 . 93 p

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GIS based cadastral management & military planning system (Hard / Soft-copy)

By Ahmad, Amna BESE-08. MCS 2006 . 93 p

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Development of jammer against centralized remote control car door locking system based remote control improvise devices /

By Mubeen, Muhammad (TCC-20). Rawalpindi MCS (NUST) 2012 . ix, 36 p.;

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Practical microbiology

. x, 160 p. 23 cm..

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Modeling and simulation of A 6-DOFs flight simulator platform

By Muhammad Mubeen Saleem, SG/C 1085. Risalpur NUST Risalpur 2012 . 68p. , BE Project Reports

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Practical Medical Microbiology Amli Tabbi Khrid Hayat Urdu

By Prof. Abdul Mubeen Khan. Karachi Federal Urdu University Krachi 2006 . 170

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Practical Medical Microbiology.

By Khan,Abdul Mubeen. Karachi. Federal Urdu University Science & Technology. 2006 . 170p. , Paper cover

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Muqalma Karachi /

By Mirza, Mubeen. Karachi : Zaki Sons Printers, 2015 . 464 p. ; , Paperback.

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Forensic speaker Verification Using Speech Signals /

By Muhammad Mubeen. Islamabad : SEECS - NUST, 2018 . 53 p. : ill. ; 30cm..

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Material Science.

By Mubeen,. New Delhi ; Khanna, 2015 . 720 p. ; 21 cm. 8174090355

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Material Science

By Mubeen&Mubeen. India Romesh Chander Khanna 2006 . 719p 81-7409-035-5

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PR-SOF-1611-DESIGN AND FABRICATION OF TELESCOPIC HYDRAULICK JACK BUCKLING TESTING MACHINE

By MUBEEN-UR-REHMAN BASIT NAJAM HAMMAD JAMIL . ISLAMABAD NUST COLLEGE OF EME 2017

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PR-SOF-1103-IMPLEMENTATION OF CONTINUOUS PHASE MODULATION WITH TURBO PRODUCT CODES IN FPGA

By MUBEEN,SAAD,WASEEM AMJAD. ISLAMABAD NUST COLLEGE OF EME 2011

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PR-SOF-1913-Solar Powered Grid Tie Inverter

By Mubeen Ahmed Syed Talha Safeer Gardezi Muhammad Samiullah Khan Afaq Azeem. ISLAMABAD NUST COLLEGE OF EME 2020

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PR-SOF-1963-Design of 6 DOF Industrial Grade Manipulator

By Haseeb Bajwa. Faizan Ali. Mubeen Ahmed. Shoaib Saeed. ISLAMABAD NUST COLLEGE OF EME 2020

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Android Based Psychics Therapist /

By Ur Rahman, Khawaja Hammad . . x, 95 p

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Brain Tumor Detection and Localization using MRI Images /

By Asadullah, Muhammad . . 75 p

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Comparison of Thermodynamic Performance of Geothermal Organic Rankine Cycle with Two Different Working Fluids /

By Mubeen Ahmed (00000320216). USPCAS-E, NUST, Islamabad : 2022 . xv, 53 p.

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IoT based Intelligent Fire Rooster /

By Islam, Alishba . . 62 p.;

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Investigation of change in strength of Double Cantilever Beam Adhesive Joints under Mode I failure by addition of Cork Particles /

By AZIZ ,MUBEEN. . 44p. ; 30cm..

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PR-SOF-2298-Design and Manufacturing of a Low-Cost Automated Misting System for Produce

By NS JABEER ASGHAR NS HAFIZ ABDULLAH MUBEEN NS ALINA AZAM AWAN NS ADEEL AJMAL KHAN. ISLAMABAD: NUST COLLEGE OF EME, 2023

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PR-SOF-2381-Ai Based Solar Inverter

By NS MUHAMMAD UMAR FAROOQ PC ALEESHA MUBEEN. ISLAMABAD: NUST COLLEGE OF EME, 2024

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Manual of Military Laws in Pakistan : (amendment and case laws upto date) /

By Qazi, Mubeen Uddin. Islamabad: Mansoor Law Book House, 2025 . 1053 p.

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Multi-class Concealed Object detection system using Yolov9 Integrated with CBAM /

By Chaghtai, Mubeen Naeem . . 95p. , Smart city development places high emphasis on high-performance safety solutions to counter city security threats such as street crime and increased numbers of unconcealed and concealed objects. Although unconcealed objects are visible threats that are relatively easy to identify, their multi-class counterparts that are concealed pose high challenges given that they are not visible, especially within dense thermal grayscale scenes. Prevalent detection solutions like metal detectors and infrared cameras usually fail to correctly recognize multi-class objects, either unconcealed or concealed objects, which often result in false negatives and require human verification. This research presents an enhanced multiclass object detection model using YOLOv9 combined with Convolutional Block Attention Modules (CBAM) to improve improvement of inference time with a special emphasis on detecting concealed objects. The model embeds channel and spatial attention from CBAM within YOLOv9’s backbone and head to enhance feature representation for multi-scale object detection and efficiently handle unconcealed as well as concealed objects from thermal images. The model applies YOLOv9’s Programmable Gradient Information (PGI) and Generalized Efficient Layer Aggregation Network (GELAN) to streamline feature extraction and reduce loss of information with enhanced multi-target detection accuracy. The model was trained and tested on a set of 8,600 grayscale image augmentations, spanning four object classes (revolvers, tasers, knives, and guns), with strict preprocessing to keep classes balanced and semantically sound. The YOLOv9- CBAM structure obtains a mean Average Precision (mAP@0.5) of 0.954 and mAP@0.5- 0.95 of 0.948 compared to the baseline YOLOv9's mAP@0.5 of 0.944 and mAP@0.5-0.95 of 0.940, representing accuracy improvements. The CBAM-augmented model achieves 1.9% faster inference speed than the baseline, achieving optimal performance with both unconcealed and hidden object detection at optimized computation efficiency. The efficient and highly effective system best suits real-time smart city security applications like airport screening, patrol by police, and critical infrastructure security, reducing queuing time considerably while significantly enhancing automated threat detection efficiency. 30cm.

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