NUST Institutions Library Catalogue Search for 'kw,wrdl: su-br:an:"1913"'

White house years /

By Kissinger, Henry A.. [S.l.] : Simon & Schuster Ltd, 2011 . 1521 p. ; 23 cm.. 0857207091 (paperback) | 9780857207098 (paperback)

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Analysis and Synthesis of Networked Control Systems /

By Xia, Yuanqing.. 9783642179242

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Electronic surveillance devices-(E-BOOK)

By Brookes, Paul. Oxford : Newnes, 2001 . 146 s. , Previous ed.: Oxford : Butterworth-Heinemann, 1996 0-7506-5199-7 (pbk.)

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LINUX assembly language programming (E-BOOK)

By Neveln, Bob.. Upper Saddle River, N.J. : Prentice Hall PTR, 2000 . xvi, 249 p. : 24 cm. +. 0130879401 (pbk.)

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How to Stop Worrying and start living /

By Carnegie, Dale . india The Worlds Work 1913 . x,324 p.:

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Nixon and Mao : the week that changed the world /

By MacMillan, Margaret,. New York : Random House, 2007 . xxii, 404 p., [16] p. of plates : 25 cm.. 9781400061273 (alk. paper) | 140006127X (alk. paper) | 9781400061273

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Man and superman; a comedy and a philosophy.

By Shaw, Bernard,. New York, Brentano's, 1913 . xv,264 p. 20 cm.. 9780140437881

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Sunlight on a broken column /

By Hosain, Attia,. New York : Penguin Books-Virago Press, 1989 . xiv, 318 p. ; , "Published by Virago Press Limited 1988"--T.p. verso. 19 cm.. 014306648X | 978-0143066484

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Competitive electricity markets design, implementation, performance /

Amsterdam ; | Boston : Elsevier, 2008 . 1 online resource (xlii, 582 pages) : 0080471722 | 9780080471723 | 0080557716 | 9780080557717

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Fall of giants /

By Follett, Ken.. London : MacMillan, 2011 . 850 p. : , Col. map on endpapers.

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Suspension Bridges, Arch Ribs and Cantilevers;

By William Hubert Burr . New York, Johan wiley and sons . 1913 . 416 p. , "Produced as a New Year's greeting 1964 ... Chr. Ostenfeld & W. Jønson." 18 x 26 cm.. 978-1333324148

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Three days at Camp David : how a secret meeting in 1971 transformed the global economy

By Garten, Jeffrey E.,. New York, NY : Harper, an imprint of HarperCollins Publishers, 2021 . 435 pages : 24 cm. 9780062887672 | 006288767X

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The women's march : a novel of the 1913 woman suffrage procession

By Chiaverini, Jennifer,. New York : William Morrow, an imprint of HarperCollins Publishers, 2021 . 343 pages ; 24 cm. 9780062976000 | 0062976001

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Principles of anatomy and physiology / Gerald J. Tortora and Bryan H. Derrickson.

By Tortora, Gerald J.. Singapore : John Wiley & Sons, 2023 . xvi, various pages : , Includes bibliographical references and index. | Contains a study guide with each textbook. 28 cm.. 9781394210213 | 9781394212835 | 9781394212828

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Handbook of minerals as nutritional supplements /

By DiSilvestro, Robert A.. Boca Raton : CRC Press, 2005 . 254 pages : 24 cm.. 0849316529

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Comparison of Different Machine Learning Models for Quality Control in Biscuit Manufacturing Industry of Pakistan /

By Awais, Muhammad . . 113p. , Ensuring consistent product quality is a critical challenge in the biscuit manufacturing industry, particularly in developing economies like Pakistan, where manual inspection remains the norm. This approach, however, is prone to human error, fatigue, and inconsistency, leading to variable quality control outcomes. This research proposes an intelligent, machine learning–based automated quality inspection system tailored for real-world biscuit production lines. A comprehensive dataset of 40,000 high-resolution images was curated, representing four popular biscuit varieties Rio, Sooper, Candy, and Marie captured under actual factory lighting conditions. The dataset includes both defective and non-defective samples, covering a wide range of defect types such as breakage, charring, deformation, and missing pieces. To ensure high-quality annotations with scalable efficiency, a semi-automated iterative annotation framework was developed, combining initial manual labeling with model-assisted annotation and human-in-the-loop refinement across multiple cycles. Multiple state-ofthe-art machine learning models were implemented, fine-tuned, and rigorously evaluated, including YOLOv8, YOLOv11, YOLOv12, Faster R-CNN (via Detectron2), and Vision Transformer (ViT-B/16). Models were assessed using key performance metrics such as mAP@0.5:0.95, precision, recall, F1-score, inference speed (FPS), and computational efficiency. The results demonstrate that modern deep learning models, particularly YOLOv12 and Vision Transformers, achieve high detection accuracy (mAP > 90%) while maintaining feasibility for real-time deployment when optimized. This study provides a comparative analysis of accuracy-speed trade-offs, offering actionable insights for manufacturers seeking cost-effective, scalable solutions. The research concludes with practical recommendations for integrating AI-driven inspection systems into existing production infrastructure in resource-constrained environments, balancing performance, hardware requirements, and long-term maintainability. 30cm.

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