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An improved vulnerability exploitation prediction model with novel cost function and custom trained word vector embedding by Hoque M.S., Jamil N., Amin N., Lam K.-Y.

Performance-aware cost-effective brokering and load balancing algorithms for data center in large scale cloud computing by Naha, Ranesh Kumar

“…Proposed cloud brokering algorithms works with different types of cloud provider and deal with various user requirements. …”
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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.

“…In our research, we have demonstrated a comparison in our investigations between the priority algorithm performance matrices and the machine learning algorithm. …”
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Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism by Alomari M.F., Mahmoud M.A., Gharaei N., Rasool S.M., Hasan R.A.

“…The core of the algorithm utilizes a Genetic Algorithm (GA) to find the optimal position for the first evaluator by minimizing the total distance between this evaluator and all CCTV nodes, aiming for surveillance efficiency. …”

ESS-IoT: The Smart Waste Management System for General Household by Wong S.Y., Han H., Cheng K.M., Koo A.C., Yussof S.

“…The results show that CNN is the better classification algorithm between the two. Future work proposes the research extension by introducing an incentive mechanism to motivate the household communities using a cloud-based competition platform incorporated with the ESS-IoT system. � Universiti Putra Malaysia Press.…”

Fog-cloud scheduling simulator for reinforcement learning algorithms by Al-Hashimi, Mustafa Ahmed Adnan, Rahiman, Amir Rizaan, Muhammed, Abdullah, Hamid, Nor Asilah Wati

“…Due to its decentralized architecture, fog computing offers low latency processing and ensures the preservation of information between the source and the cloud resources. Additionally, it can be integrated with the cloud to provide satisfactory and efficient service simultaneously. …”
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Development of deep reinforcement learning based resource allocation techniques in cloud radio access network by Amjad, Iqbal

“…To capture the spatiotemporal channel state information (CSI), the second proposed algorithm adopts machine learning techniques with anchor graph hashing to extract generalized features before feeding them into the DQN. …”
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Hybrid Henry Gas-Harris Hawks comprehensive-opposition algorithm for task scheduling in cloud computing by Omran Alkaam, Nora, Md Sultan, Abu Bakar, Hussin, Masnida, Yatim Sharif, Khaironi

“…This highlights the effectiveness of hybrid meta-heuristic algorithms in achieving a balance between exploration and exploitation, preventing them from getting stuck in local optima.…”
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A classifier mechanism for host based intrusion detection and prevention system in cloud computing environment by Al-Zarqawee, Aws Naser

“…In this thesis, a new mechanism for an H-IDPS classifier in a cloud environment has desigend. The mechanism’s design is based on the hybrid Antlion Optimization Algorithm (ALO) with Multilayer Perceptron (MLP) to protect against DDoS attacks. …”
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Water optimization technique for precision irrigation system using IoT and machine learning by Maria Manuel Vianny, D., John, A., Kumar Mohan, S., Sarlan, A., Adimoolam, Ahmadian, A.

“…The machine learning algorithm is useful in taking the process of data, from the cloud environments, and do forecasting on the irrigation system. …”
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Spotting events in football videos with a combination of two-stream convolutional neural network and dilated recurrent neural network / Behzad Mahaseni by Behzad , Mahaseni

“…Considering the advancement in streaming technologies on mobile platforms, it is important to develop efficient and fast processing algorithms for thousands of videos captured and stored in the cloud. …”
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Comparison between Lamarckian Evolution and Baldwin Evolution of neural network by Taha, Imad, Inazy, Qabas

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Frequency aware task scheduling using DVFS for energy efficiency in Cloud data centre by Samual, Joshua, Hussin, Masnida, Abdul Hamid, Nor Asilah Wati, Abdullah, Azizol

“…Significantly, leveraging the resource processing frequency is able to gain better trade‐off between performance and energy consumption in the Cloud data centre.…”
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Throughput analysis of TCP congestion control algorithms in a cloud based collaborative virtual environment by Ya'u Gital, Abdulsalam, Abdul Samad, Isma’il, Abdulkadir, Alkali, Abubakar, Adamu, Haruna, Chiroma

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Oil palm mapping over Peninsular Malaysia using Google Earth Engine and machine learning algorithms by Shaharum, Nur Shafira Nisa, Mohd Shafri, Helmi Zulhaidi, Wan Ab. Karim Ghani, Wan Azlina, Samsatli, Sheila, Al-Habshi, Mohammed Mustafa, Yusuf, Badronnisa

“…However, RF extracted oil palm information better than the SVM. The algorithms were compared and the McNemar's test showed significant values for comparisons between SVM and CART and RF and CART. …”
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Improving energy consumption in cloud computing datacenters using a combination of energy-aware resource allocation and scheduling mechanism by Khalil Abd., Sura

“…The experimental results of applying DFGA algorithm to real Google cloud trace logs show that the energy consumption of the proposed work was 2.15 kWh which was more efficient when compared to other works: Energy-aware Rolling Horizon (EARH) (2.55 kWh), Modified Bit Field Decreasing (MBFD) and Minimization of Migration (MM) (2.65 kWh). …”
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Quantifying usability prioritization using K-means clustering algorithm on hybrid metric features for MAR learning by Lim K.C., Selamat A., Mohamed Zabil M.H., Selamat M.H., Alias R.A., Puteh F., Mohamed F., Krejcar O.

“…Augmented reality; Learning algorithms; Machine learning; Usability engineering; Between clusters; Mobile augmented reality; Prioritization; Prioritization techniques; Unsupervised machine learning; Usability; K-means clustering…”

A Principled Design of Intelligent Agent for the SLA negotiation process in cloud computing by Kumar, R., Hassan, M.F., Adnan, M.H.M.

“…IANS uses a behavioural learning analysis algorithm between consumers and CSP to select a reliable, secure server at a minimum cost. …”
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A Principled Design of Intelligent Agent for the SLA negotiation process in cloud computing by Kumar, R., Hassan, M.F., Adnan, M.H.M.

“…IANS uses a behavioural learning analysis algorithm between consumers and CSP to select a reliable, secure server at a minimum cost. …”
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Latency Analysis of Cloud Infrastructure for Time-Critical IoT Use Cases by Kartinah, Zen, Saju, Mohanan, Seleviawati, Tarmizi, Noralifah, Annuar

“…The time-critical Internet of Things (IoT) use cases such as driverless cars and robotic surgical arms need high bandwidth and low latency for real-time intelligent data processing and trained machine learning inference. Latency in real-time processing is influenced by many factors such as artificial intelligence (AI) computing algorithm, device processing capabilities, the frameworks, and also the distance from the cloud infrastructure. …”
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