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Tag clouds algorithm with the inclusion of personality traits by Ahmad Affandi, Supli

“…Therefore, the main objective of this study is to develop an algorithm that can adapt visual features of tag cloud layout styles based on personality traits of the user. …”
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Modeling approach of cloud 4D printing service composition optimization based on non-dominated sorting genetic algorithm III by Liu, Jiajia, Zainudin, Edi Syams, As'arry, Azizan, Ismail, Mohd Idris Shah

“…This research provides valuable insights for the advancement of intelligent cloud-based 4D printing systems, paving the way for future developments in this field.…”
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Comparative study on job scheduling using priority rule and machine learning by Murad, Saydul Akbar, Zafril Rizal, M Azmi, Abu Jafar, Md Muzahid, Al-Imran, Md.

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Development of deep reinforcement learning based resource allocation techniques in cloud radio access network by Amjad, Iqbal

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HSO: A hybrid swarm optimization algorithm for reducing energy consumption in the cloudlets by Hasan, Raed Abdulkareem, Mostafa, A. Mohammed, Salih, Zeyad Hussein, M. A., Ameedeen, Tapus, Nicolae, Mohammed, Muamer N.

“…Mobile Cloud Computing (MCC) is an emerging technology for the improvement of mobile service quality. …”
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Fog offloading and task management in IoT-fog-cloud environment: review of algorithms, networks, and SDN application by Rezaee, Mohammad Reza, Abdul Hamid, Nor Asilah Wati, Hussin, Masnida, Ahmad Zukarnain, Zuriati

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Critical insight for MAPReduce optimization in Hadoop by Khan, Burhan ul Islam, Olanrewaju, Rashidah Funke, Altaf, Hunain, Shah, Asadullah

“…Apache Hadoop is one the most used cloud frame work for cloud infrastructure. The predominant philosophy behind Hadoop optimization is the optimization of MapReduce, which is a dominant programming platform effective in bringing a=bout many functional enhancements as per scheduling algorithms developed and implemented. …”
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Development of a wearable human fall detection system by Chua, Kean Hong, Sai, Siong Jun, Chan, Chi Yen, Kamsani, Noor Ain, Che Soh, Azura, Raja Ahmad, Raja Mohd Kamil

“…The accuracy of the fall detection algorithm was determined to be at 98.41%. The detected fall will be notified to the elderly person’s smart phone via Bluetooth and the smart phone will send an emergency message to the caregiver’s smart phone via the Google Cloud Messaging (GCM) system. …”
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Machine learning and deep learning approaches for detecting DDoS attacks in cloud environments by Khan, Muhammad Asif, Mohd Faizal, Ab Razak, Zafril Rizal, M. Azmi, Ahmad Firdaus, Zainal Abidin, Nuhu, Abdul Hafeez, Hussain, Syed Shuja

“…Future research should focus on developing cloud-specific datasets, advanced feature engineering, explainable AI, and cross-layer detection approaches, with potential exploration of emerging technologies like quantum machine learning.…”
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Iot health monitoring system for self quarantined covid-19 patients by Vikneswaran, Balakrishnan

“…After that vital signs and falling information classified to show caution circumstances. Then develop an IoT system to notify guardian or doctor on emergency situation. …”
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Sustainable aquaculture development: a review on the roles of cloud computing, internet of things and artificial intelligence (CIA) by Umar Farouk Mustapha, Abdul-Wadud Alhassan, Dong-Neng Jiang, Guang-Li Li

“…This article reviews the emergence of research development on CIA and the potential to revolutionize the aquaculture industry. …”
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Cloud Computing in Smart Cities: Privacy, Ethical and Social Issues by Alkhazali A.R.M., Khasawneh A.M., Alzoubi S., Magableh M., Mohamed R.R., Pandey B.

“…The rapid development of cloud computing technologies has revolutionized various sectors, and smart cities are no exception. …”

The exploration of hybrid metaheuristics-based approaches: A bibliometric analysis by Nur Hidayah, Azmidi, Noryanti, Muhammad, Rozieana, Khairuddin

“…Employing an analysis of publications, this study maps the historical development, key terms and the most dominant works in this field. …”
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IoT-BSEM internet of things-based smart energy meter for domestic house by Abdul Razak, Nur Atiqah Husna, Ramlee, Ridza Azri, Ahmed Kamal, Ibrahim Faris, Andre, H, Khmag, Asem

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Multi-objective scheduling of MapReduce jobs in big data processing by Hashem, Ibrahim Abaker Targio, Anuar, Nor Badrul, Marjani, Mohsen, Gani, Abdullah, Sangaiah, Arun Kumar, Sakariyah, Adewole Kayode

“…Second, a scheduling algorithm using earliest finish time scheduling that considers resource allocation and job scheduling in the cloud is proposed. …”
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Adaptive resource allocation for reliable performance in heterogeneous distributed systems. by Hussin, Masnida, Abdullah, Azizol, K. Subramaniam, Shamala

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Internet of Things-based Home Automation with Network Mapper and MQTT Protocol by Alam T., Rokonuzzaman M., Sarker S., Abadin A.F.M.Z., Debnath T., Hossain M.I.

“…The proposed system is developed using a Raspberry Pi 3 Home Server (RHS) driven by the Support Vector Machine (SVM) algorithm. …”

E-Hadith DV: Hadith scriptures in Syafie Madhhab retrieval using data visualization / Nor Faezahtul Salme Norhisam by Norhisam, Nor Faezahtul Salme

“…For this project, it will use Agile methodology that has five phases, which are requirement analysis phase, design phase, development phase, testing phase and maintenance. Therefore, a progressive web-based information retrieval visualization system that utilizes Term Frequency-Inverse Document Frequency (TFIDF) algorithm and data visualization are suggested to solve these problems. …”
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Lightning peak current estimation using a system identification approach by Wern T.L.T., Mukerjee R.N.

“…A system identification-based lightning peak current estimation algorithm using upper-air radiosonde observations is developed. …”

Fault tolerance structures in Wireless Sensor Networks (WSNs): survey, classification, and future directions by Adday, Ghaihab Hassan, K. Subramaniam, Shamala, Ahmad Zukarnain, Zuriati, Samian, Normalia

“…Fault tolerance structures contain three fundamental stages: error detection, error diagnosis, and error recovery. The emergence of analytics and the depth of harnessing it has led to the development of new fault-tolerant structures and strategies based on artificial intelligence and cloud-based. …”
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