Palestinian Journal of Technology and Applied Sciences (PJTAS) | Al-Quds Open University (QOU)

Palestinian Journal of Technology and Applied Sciences (PJTAS)

The Palestinian Journal of Technology and Applied Sciences is an annual refereed journal, issued by the Deanship of Graduate Studies and Scientific Research. The first issue of the Journal was published in January 2018 after obtaining an ISSN ((E 2521-411X, P 2520-7431). The journal publishes original research papers and studies conducted by researchers and faculty staff at QOU and by their counterparts at local and overseas universities, in accordance with their academic specializations. The Journal also publishes reviews, scientific reports and translated research papers, provided that these papers have not been published in any conference book or in any other journal. The Journal comprises the following topics:Information and Communication Technology, Physics, Chemistry, Biology, Mathematics, Statistics Biotechnology, Bioinformatics, Agriculture Sciences, Geology Ecology, Nanotechnology , Mechatronics, Internet of things , Artificial Intelligence and Big Data.

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Peer Review (For Reviewers)

No 3 (2020): No. (3) - January 2020

Table of Contents

Research

Hyers-Ulam-Rassias Stability of the Inhomogeneous Wave Equation

Prof. Maher Nazmi Qarawani

An Efficient Anchor Nodes Distribution for Accurate Localization (EDAL) in Mobile Wireless Sensor Networks

Dr. Ammar M.A Abu Znaid, Dr. Mohammad Idris Yamani, Dr. Ainuddin Wahid Abdul Wahab, Dr. Liana Khamis Qabajeh, Dr. Omar Adil Mahdi

In vitro and In vivo Evaluation of a Plant Origin Acaricide and In vitro Evaluation of Plant Extracts Against Two-Spotted Spider Mite, Tetranychus urticae Koch

Dr. Bassam Fahed Al-Atalah, Mrs. Jihan Mahmoud Al-Abdulla, Eng. Nareman Mhana Al-Zugbi

Using Linear Mathematical Programming Model to Reduce Feed Cost of Broiler Farms

Eng. Maya Youssef Alabdala, Dr. Safwan Mutha Aboassaf, Dr. Afraa Jalal Sallowm

Reliability and Failure Probability Functions of the Consecutive-k-out-of-m-from-n: F System with Multiple Failure Criteria

Dr. Imad Ismail Nashwan

Data Mining Techniques for Prediction of Concrete Compressive Strength (CCS)

Prof. Yousef Saleh Abu Zir, Eng. Saleh Yousef Abu Zir

ISSN: E 2521-411X

ISSN: P 2520-7431