Information sharing and search system to ease estate distribution in Malaysia by Mohd. Ali, Safina

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Engineering properties and durability of concrete with arabic gum biopolymer by Mohamed Ahmed, Abdeliazim Mustafa

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Semi-dynamic geocentric datum for positional accuracy and reliability in Malaysia by Mohd. Shariff, Noor Suryati

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Structural analysis of floating offshore remote terminal for deep sea fishing by Abdul Malik, Asmawi

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Behaviour and performance of non-cement polymer grouted spiral connection by S. Mohammed, Nuria

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From masterplanning to adaptive planning : understanding the contemporary tools and processes for civic urban order by Bullivant, Lucy

“…I have learned that new hybrid processes of top down and bottom up planning, and interest in engaging with multi-modal approaches with their relative novelty and unprecedented forms of complexity, represent major challenges to long-held beliefs about planning’s role in society and the typical relationships between planner and those planned for. …”
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Application of reinforcement learning methods to computer game dynamics by Booth, David John

“…How action selection (AS) contributes to efficient learning is a key issue in RL since is determines the balance between exploiting and confirming the current policy or exploring an early less likely policy which may prove better in the long run. The methodology deploys the simulation of several AS using 10-armed bandit problem averaged over 10000 epochs. …”
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Prediabetes conversion to Normoglycemia is superior adding a low-carbohydrate and energy deficit formula diet to lifestyle intervention - a 12-month subanalysis of the ACOORH trial by Röhling, Martin, Kempf, Kerstin, Banzer, Winfried, Berg, Aloys, Braumann, Klaus-Michael, Tan, Susanne, Halle, Martin, McCarthy, H. David, Pinget, Michel, Predel, Hans-Georg, Scholze, Jürgen, Toplak, Hermann, Martin, Stephan

“…However, these effects are not long-lasting and are accompanied with high dropout rates. …”
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A comprehensive survey on "circular polarized antennas" for existing and emerging wireless communication technologies by Nadeem, Iram, Alibakhshikenari, Mohammad, Babaeian, Fatemeh, Althuwayb, Ayman Abdulhadi, Virdee, Bal Singh, Azpilicueta, Leyre, Khan, Salahuddin, Huynen, Isabelle, Falcone, Francisco, Denidni, Tayeb A., Limiti, Ernesto

“…Circular polarized (CP) antennas are well suited for long-distance transmission attainment. In order to be adaptable for beyond 5G communication, a detailed and systematic investigation of their important conventional features is required for expected enhancements. …”
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School-based self-evaluation in Greece: a challenge for primary schools by Argyro, Kokoretsi-Stavrinides

“…Within this context, SSE aimed at school accountability and improvement should be seen as a long-term project.…”
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Stepney from the outbreak of the First World War to the Festival of Britain, 1914-1951: a profile of a London borough during the first half of the 20th century by Bird, Samantha L.

“…The First World War is the starting point of this thesis as it was to have long-term implications for Stepney. Arthur Foley Winnington-Ingram, Bishop of London, in his Easter sermon of 1918 first used the slogan 'They Shall Not Pass'. …”
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Safety in numbers: reflecting on the work of Artichoke as ‘adaptor-disruptor’ in reclaiming public space by Scarso, Jacek Ludwig, Jeske Thompson, Kirsten

“…The projects explored here were mostly realised long before our cities were shaped by the unprecedented restrictions caused by the pandemic; yet, they nonetheless all had to deal with substantial logistical and creative challenges, deriving from complex safety measures and an ever-changing urban and cultural landscape. …”
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Improved 5G network slicing for enhanced QoS against attack in SDN environment using deep learning by Abood, Mohammed Salah, Hua, Wang, Virdee, Bal Singh, He, Dongxuan, Fathy, Maha, Yusuf, Abdulganiyu Abdu, Jamal, Omar, Elwi, Taha A., Alibakhshikenari, Mohammad, Kouhalvandi, Lida, Ahmad, Ashfaq

“…Additionally, the proposed Convolutional Neural Networks-Long Short-Term Memory (CNN-LSTM) approach demonstrates superiority over conventional ML algorithms, signifying its potential for real-time attack detection. …”
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Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks by Firas Mohammed Aswad, Firas Mohammed Aswad, Ali Mohammed Saleh Ahmed, Ali Mohammed Saleh Ahmed, Nafea Ali Majeed Alhammadi, Nafea Ali Majeed Alhammadi, Bashar Ahmad Khalaf, Bashar Ahmad Khalaf, Salama A. Mostafa, Salama A. Mostafa

“…Subsequently, this study proposes combining three deep learning algorithms, namely recurrent neural network (RNN), long short-term memory (LSTM)-RNN, and convolutional neural network (CNN), to build a bidirectional CNN-BiLSTM DDoS detection model. …”
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Physical Properties of New Formulation of Hybrid Nanofluid-based Minimum Quantity Lubrication (MQL) from Modified Jatropha Oil as Metalworking Fluid by Sabri, Ainaa Mardhiah, Talib, Norfazillah, Mohd Saad, Nur Syazwani Filzah, Amiril Sahab Abdul Sani, Amiril Sahab Abdul Sani, Sandip Kunar, Sandip Kunar, Said Ahmad, Said Ahmad, Abdullah, Haslina, Lee Woon Kiow, Lee Woon Kiow, Salleh, Aslinda

“….% hBN + WS2) has the ability as a long-term metalworking fluid for the machining operation. …”
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Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks by Mohammed Aswad, Firas, Ahmed, Ali Mohammed Saleh, Ali Majeed Alhammadi, Nafea, Bashar Ahmad Khalaf, Bashar Ahmad Khalaf, Salama A. Mostafa, Salama A. Mostafa

“…Subsequently, this study proposes combining three deep learning algorithms, namely recurrent neural network (RNN), long short-term memory (LSTM)-RNN, and convolutional neural network (CNN), to build a bidirectional CNN-BiLSTM DDoS detection model. …”
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Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks by Firas Mohammed Aswad, Firas Mohammed Aswad, Ali Mohammed Saleh Ahmed, Ali Mohammed Saleh Ahmed, Nafea Ali Majeed Alhammadi, Nafea Ali Majeed Alhammadi, Bashar Ahmad Khalaf, Bashar Ahmad Khalaf, Salama A. Mostafa, Salama A. Mostafa

“…Subsequently, this study proposes combining three deep learning algorithms, namely recurrent neural network (RNN), long short-term memory (LSTM)-RNN, and convolutional neural network (CNN), to build a bidirectional CNN-BiLSTM DDoS detection model. …”
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A Preliminary Checklist of Fish Species in the Peat Swamp Forest of Ayer Hitam Utara State Park Forest, Johor, Malaysia by Muhammad Fahmi-Ahmad, Muhammad Fahmi-Ahmad, Muhammad Rasul Abdullah Halim, Muhammad Rasul Abdullah Halim, Mohd Lokman Ilham-Norhakim, Mohd Lokman Ilham-Norhakim, Muhammad Nur Azam Arshad, Muhammad Nur Azam Arshad, Zahar Azuar Zakaria, Zahar Azuar Zakaria, Intan Faraha A. Ghani, Intan Faraha A. Ghani, Mohamad Aqmal-Naser, Mohamad Aqmal-Naser, Siti Noratikah Mustafa, Siti Noratikah Mustafa, Muhammad Abu Bakar Abdul-Latif, Muhammad Abu Bakar Abdul-Latif, Mohammad Noor Azmai Amal, Mohammad Noor Azmai Amal, Amirrudin B. Ahmad, Amirrudin B. Ahmad, Khaironizam Md Zain, Khaironizam Md Zain

“…These endeavours will facilitate the development of practical conservation approaches to ensure the long-term sustainability of AHUSPF and its associated species.…”
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Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks by Firas Mohammed Aswad, Firas Mohammed Aswad, Ali Mohammed Saleh Ahmed, Ali Mohammed Saleh Ahmed, Nafea Ali Majeed Alhammadi, Nafea Ali Majeed Alhammadi, Bashar Ahmad Khalaf, Bashar Ahmad Khalaf, Salama A. Mostafa, Salama A. Mostafa

“…Subsequently, this study proposes combining three deep learning algorithms, namely recurrent neural network (RNN), long short-term memory (LSTM)-RNN, and convolutional neural network (CNN), to build a bidirectional CNN-BiLSTM DDoS detection model. …”
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Study on promote occupational safety and health practices in construction projects by Shahna, Ebrahim Awadh Mubarak

“…Safety is an important issue, but many employers do not feel it is vital to the success of companies. For a long time, the construction industry has been labeled as with poor OSHP and performance, which needs stern attention and in-depth research to put forward solutions to this issue. …”
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