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

Pakistan : the formative phase, 1857-1948 /

By Sayeed, Khalid B.,. Karachi ; | New York : Oxford University Press, 1968 . ix, 341 p. ; , Previous ed.: Karachi : Pakistan Publishing House, 1960. 22 cm.. 0195771141 (pbk.)

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Migrants and militants : "fun" and urban violence in pakistan /

By Verkaaik, Oskar.. [S.l.] : Princeton University Press, 2004 . 232 p. ; 23 cm.. 0691117098 (paperback) | 9780691117096 (paperback)

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Pakistan the heart of asia /

By Khan, Liaquat Ali.. Karachi : Paramount, 2011 . 178 p. ; 25 cm.. 1179881001 (paperback) | 9781179881003 (paperback)

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Readings in Pakistan foreign policy, 1971-1978 /

Karachi : Oxford University Press, 2001 . xix, 479 p. ; 22 cm.. 0195793935

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The idea of pakistan /

By Cohen, Stephen P.. [S.l.] : Brookings Institution Press, 2006 . 382 p. ; 26 cm.. 081571503X (paperback) | 9780815715030 (paperback)

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India-pakistan negotiations /

By Kux, Dennis.. Karachi Oxford University Press 2006 . 110 p. 0195474686 (paperback) | 9780195474688 (paperback)

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The Muslim Community of the Indo -Pakistan SubContinent/

By Qureshi, Ishtiaq Hussain. Karachi Army Education press 1977 . 385:p

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Daughter of the East : an autobiography /

By Bhutto, Benazir.. London ; | New York : Simon & Schuster, 2007 . xx, 442 p. : 25 cm.. 1847370756 | 9781847370754

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Quaid-e-Azam Jinnah : The Story of a Nation /

By Allana.G. Karachi Ferozsons . 536:p

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1971: Fact and Fiction /

By Afrasiab. Karachi Maktab Dar-Ul-Quran 2014 . 294 p

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In the Line of Fire : a memoir /

By Musharraf, Pervez.. Great Britain : CBI Bath 2006 . xii, 354 p., [16] p. of plates : , Includes index. 24 cm.. 0743283449 | 9780743283441

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Sleepwalking to surrender : dealing with terrorism in Pakistan /

By Ahmed, Khaled,. . viii, 463 pages ; 23 cm. 9780670088966 (hardback) | 067008896X

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Sustainable approaches to urban transport /

. pages cm 9781138544239 (hardback)

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Long-Term Temperature Forecasting using Deep Learning and Extreme Indices Computation /

By Munir, Safdar . . 105p. , Climate change has intensified the demand for accurate long-term temperature forecasting, particularly in highly vulnerable regions such as Pakistan, where rising temperatures and extreme events threaten agriculture, water security, public health, and infrastructure. Conventional climate models, including General Circulation Models (GCMs) and Regional Climate Models (RCMs), provide essential large-scale projections but face constraints in spatial resolution, computational cost, and applicability in data-scarce contexts. Recent advances in deep learning offer powerful alternatives, capable of capturing complex nonlinear relationships and producing high-resolution forecasts that can also inform the computation of extreme climate indices. This study integrates DL based forecasting with extreme temperature index computation to generate actionable insights for adaptation planning in Major Cities of Pakistan. Daily temperature data from the EC-EARTH3-VEG climate model (converted to °C) were bias-corrected using quantile mapping under two Shared Socioeconomic Pathways (SSP4.8 and SSP5.85). After data preprocessing multiple deep learning models LSTM, CNN-LSTM, Transformer, Transformer XL and Deep Ensemble with Monte Carlo (MC) Dropout, were trained on 1980–2040 data and evaluated for 2040–2050 and then forecasted till 2100. Model was assessed using MAE, RMSE, R² with MC dropout. Deep Ensemble outperformed all the single model (MAE = 0.4588; RMSE = 0.751; R² = 0.992). Projections indicate a Tmax rise of ~2–4 °C and Tmin rise of ~1.5–3 °C by 2100. According to extreme climates indices calculation there continue to be increases in warming, especially with regards to more heat waves that last longer in addition to increases in the number of hot days and warm nights as well as fewer frost days. The warming of nights more than the warming of days, closing the diurnal temperature range. There is also more total precipitation which is distributed in a growing number of days, and longer periods of rain which means that heavier rains are becoming less common, which indicates the beginnings of a warmer, more humid, but drier and stressed climate. The study highlights that DL Ensemble frameworks can deliver robust, long term temperature projections and calculation of extreme indices for 25 major cities of Pakistan and for sake of brevity only data of Lahore, Karachi, Quetta and Gilgit city shown in paper reset are in appendix. 30cm.

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Plant Bioinformatics : Decoding the Phyta /

. 1 online resource (XIV, 459 pages 50 illustrations, 49 illustrations in color.) 9783319671567

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