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| 1 | Application of lean six Sigma tools for cycle time reduction in manufacturing: case study in biopharmaceutical industry显示文摘 | Abdullah Ismail Jaharah A Ghani Mohd AB Rabman | 2014 | Arabian Journal of Science and Engineering2014，39，： | 1 |
| 2 | Advances ha Computer Forensics 显示文摘 | ABDULLAH M T MAHMOD R GHANI A A | 2008 | International Journal of Computer Science and Network Security2008，8，2： | 1 |
| 3 | Sediment transport modeling for Kulim River – A case study显示文摘 | Chang Chun Kiat Aminuddin Ab Ghani Rozi Abdullah Nor Azazi Zakaria | 2008 | Journal of Hydro-environment Research2008，，1： | 1 |
| 4 | Machine Learning-Enabled Communication Approach for the Internet of Medical Things显示文摘The Internet ofMedical Things(IoMT)is mainly concernedwith the efficient utilisation of wearable devices in the healthcare domain to manage various processes automatically,whereas machine learning approaches enable these smart systems to make informed decisions.Generally,broadcasting is used for the transmission of frames,whereas congestion,energy efficiency,and excessive load are among the common issues associated with existing approaches.In this paper,a machine learning-enabled shortest path identification scheme is presented to ensure reliable transmission of frames,especially with the minimum possible communication overheads in the IoMT network.For this purpose,the proposed scheme utilises a well-known technique,i.e.,Kruskal’s algorithm,to find an optimal path from source to destination wearable devices.Additionally,other evaluation metrics are used to find a reliable and shortest possible communication path between the two interested parties.Apart from that,every device is bound to hold a supplementary path,preferably a second optimised path,for situations where the current communication path is no longer available,either due to device failure or heavy traffic.Furthermore,the machine learning approach helps enable these devices to update their routing tables simultaneously,and an optimal path could be replaced if a better one is available.The proposed mechanism has been tested using a smart environment developed for the healthcare domain using IoMT networks.Simulation results show that the proposed machine learning-oriented approach performs better than existing approaches where the proposed scheme has achieved the minimum possible ratios,i.e.,17%and 23%,in terms of end to end delay and packet losses,respectively.Moreover,the proposed scheme has achieved an approximately 21%improvement in the average throughput compared to the existing schemes. | Rahim Khan Abdullah Ghani Samia Allaoua Chelloug Mohammed Amin Aamir Saeed Jason Teo | 2023 | Computers, Materials & Continua2023，76，8： | 0 |
| 5 | Context Based Adoption of Ranking and Indexing Measures for Cricket Team Ranks显示文摘There is an international cricket governing body that ranks the expertise of all the cricket playing nations,known as the International Cricket Council(ICC).The ranking system followed by the ICC relies on the winnings and defeats of the teams.The model used by the ICC to implement rankings is deficient in certain key respects.It ignores key factors like winning margin and strength of the opposition.Various measures of the ranking concept are presented in this research.The proposed methods adopt the concepts of h-Index and PageRank for presenting more comprehensive ranking metrics.The proposed approaches not only rank the teams on their losing/winning stats but also take into consideration the margin of winning and the quality of the opposition.Three cricket team ranking techniques are presented i.e.,(1)Cricket Team-Index(ct-index),(2)Cricket Team Rank(CTR)and(3)Weighted Cricket Team Rank(WCTR).The proposed metrics are validated through the collection of cricket dataset,extracted from Cricinfo,having instances for all the three formats of the game i.e.,T20 International(T20i),One Day International(ODI)and Test matches.The comparative analysis between the proposed and existing techniques,for all the three formats,is presented as well. | Raja Sher Afgun Usmani Syed Muhammad Saqlain Shah Muhammad Sher Ramzan Abdullah Saad A.L-Malaise AL-Ghamdi Anwar Ghani Imran Khan Farrukh Saleem | 2020 | Computers, Materials & Continua2020，，11： | 0 |
| 6 | The Frequency of Y Alu Polymorphism (YAP) Indel in the Minangkabau Malays in Peninsular Malaysia显示文摘 | Wan Nurhayati Wan Hanafi Muhd Shah Jehan Abd Razak Azzura Abdullah Nor Hazwani Ghani NurAzimah Osman Farida Zuraina Mohd Yusuf | 2014 | Journal of Life Sciences2014，8，9： | 0 |
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