Journal:Pakistan Journal of Engineering Technology & Science, 2015, Volume 5, Issue No 1
Author(s): Osama Mahfooz, Mujtaba Memon, Javier Poncela
Journal:Pakistan Journal of Engineering Technology & Science, 2015, Volume 5, Issue No 1
Author(s): Seema Ansari, Javier Poncela, Pablo Otero, Adeel Ansari
Keyword(s): Funding HEC Literacy rate, NRPU, OSS, PEC, PSPD, Research, Technology
Journal:Pakistan Journal of Engineering Technology & Science, 2017, Volume 7, Issue No 1
Author(s): Muhammad Tanveer Meeran,, Asif Raza, Muizzud-Din
Keyword(s): Multi-Tenancy, elasticity, Identity Spoofing, HLR, VLR and MSC
Journal:Pakistan Journal of Engineering Technology & Science, 2017, Volume 7, Issue No 2
Author(s): S.M.Aqil Burney, Mushtaq Ahmad Khan Barakzai, Steve Ernest James
Keyword(s): Maximum Temperature, Weather Conditions, and Time Series Analysis
Journal:Pakistan Journal of Engineering & Applied Sciences, 2016, Volume 19, Issue No 2
Author(s): Zain Ul Abadin Zafar, Anjum Pervaiz, M.O.Ahmed , M. Rafiq
Keyword(s): Inhomogeneous Telegraph Equation, FOC Method, FD Method
Journal:Pakistan Journal of Engineering & Applied Sciences, 2016, Volume 19, Issue No 2
Author(s): Zain Ul Abadin Zafar, Anjum Pervaiz, M. Rafiq, M. Ozair Ahmad
Journal:Pakistan Journal of Engineering & Applied Sciences, 2017, Volume 21, Issue No 2
Author(s): Abdul Mannan, Kashif Javed, Serosh Karim Noon
Keyword(s): Feature Selection, filter, Gene expression data, image, Support vector machine, Naïve Bayes
Journal:Pakistan Journal of Engineering & Applied Sciences, 2018, Volume 23, Issue No 2
Journal:Pakistan Journal of Agriculture, Agricultural Engineering and Veterinary Sciences (PJAAEVS), 2015, Volume 31, Issue No 2
Author(s): Alvina Shabbir, M. Arshad, A. Shabbir, A. Shakoor, I. Ahmad
Keyword(s): groundwater, MODFLOW and MT3D Models, sewerage drain
Journal:Pakistan Journal of Agriculture, Agricultural Engineering and Veterinary Sciences (PJAAEVS), 2016, Volume 32, Issue No 2
Author(s): V. Suthar, M. S. Sarki, N. A. Qureshi, B. K. Solangi, T. Mangan
Keyword(s): maximum likelihood method, poverty, survey data, Tharparkar-Sindh