Search Results - (( developing fog computing algorithm ) OR ( java application learning algorithm ))

Multi-objective optimization for integrated task scheduling and load balancing in fog computing for IoT applications by Rafique, Majid

“…This study focuses on a Fog Optimized Computing System (FOCS) algorithm, which is developed to handle network congestion and processing challenges imposed by the increasing number of IoT devices. …”
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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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Fog-cloud scheduling simulator for reinforcement learning algorithms by Al-Hashimi, Mustafa Ahmed Adnan, Rahiman, Amir Rizaan, Muhammed, Abdullah, Hamid, Nor Asilah Wati

“…However, the main challenge with fog computing is that the edge nodes, called fog devices, have limited processing capabilities and storage for dynamic high-level operations. …”
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Design and development of smart parking system based on fog computing and internet of things by Balfaqih, M., Jabbar, W., Khayyat, M., Hassan, R.

“…A multi‐layer architecture is developed that consists of multiple sensor nodes, and fog and cloud computing layers. …”
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SELAMAT: a new secure and lightweight multi-factor authentication scheme for cross-platform industrial IoT systems by Khalid, Haqi, Hashim, Shaiful Jahari, Syed Ahmad Abdul Rahman, Sharifah Mumtazah, Hashim, Fazirulhisyam, Chaudhary, Muhammad Akmal

“…The development of the industrial Internet of Things (IIoT) promotes the integration of the cross-platform systems in fog computing, which enable users to obtain access to multiple application located in different geographical locations. …”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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ECG encryption enhancement with multi-layers of AES and DNA computing by Kh-Madhloom, Jamal

“…IoT study fields currently involve security and privacy due to the fact that the installation of Cryptographic Internet Communications "ICs" for protected IC applications like Fog Computing and Cloud Computing devices is extremely crucial in any developing technology. …”
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Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm by Norulazmi, Kasim

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Weather prediction system using ANN algorithm / Nur Afiqah Ahmad Sukri by Ahmad Sukri, Nur Afiqah

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Developing an intelligent system to acquire meeting knowledge in problem-based learning environments by Chiang, A., Baba, M.S.

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Advances in lane marking detection algorithms for all-weather conditions by Ab. Ghani, Hadhrami, Besar, Rosli, Md. Sani, Zamani, Kamaruddin, Mohd Nazeri, Syahali, Syabeela, Mohamed Daud, Atiqullah, Martin, Aerun

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An Educational Tool Aimed at Learning Metaheuristics by Kader, Md. Abdul, Jamaluddin, Jamal A., Kamal Z., Zamli

“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment by Ruzita, Ahmad

“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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The development of cloud modelling and motion analysis for virtual environment by Sunar, Mohd. Shahrizal, Daman, Daut, Kari, Sarudin, Mohd. Suaib, Norhaida, Bade, Abdullah

“…This invention uses the newly developed randomized algorithm to fill the cloud volume with particle systems. …”
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Network analysis in a peer-to-peer energy trading model using blockchain and machine learning by Shukla, S., Hussain, S., Irshad, R.R., Alattab, A.A., Thakur, S., Breslin, J.G., Hassan, M.F., Abimannan, S., Husain, S., Jameel, S.M.

“…However, existing works related to the blockchain with P2P energy trading are engaged in increasing the cost related to resource allocation, latency, computational processing, and large network setup. The objective of this paper is to design and develop a three-tier architecture, an analytical model, and a hybrid algorithm for network analysis in a blockchain-based P2P energy trading system using reinforcement learning (RL) and feed forward neural network (FFNN) techniques. …”
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Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

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AI powered asthma prediction towards treatment formulation: an android app approach by Murad, Saydul Akbar, Adhikary, Apurba, Md Muzahid, Abu Jafar, Sarker, Md Murad Hossain, Khan, Md. Ashikur Rahman, Hossain, Md. Bipul, Bairagi, Anupam Kumar, Masud, Mehedi, Kowsher, Md

“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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The development of cloud modelling and motion analysis for virtual environment by Sunar, Mohd. Shahrizal, Daman, Daut, Kari, Sarudin, Mohd. Suaib, Norhaida, Bade, Abdullah

“…This invention uses the newly developed randomized algorithm to fill the cloud volume with particle systems. …”
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AI powered asthma prediction towards treatment formulation : An android app approach by Murad, Saydul Akbar, Adhikary, Apurba, Muzahid, Abu Jafar Md, Sarker, Md. Murad Hossain, Khan, Md. Ashikur Rahman, Hossain, Md. Bipul, Bairagi, Anupam Kumar, Masud, Mehedi, Kowsher, Md.

“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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