Search Results - (( iot applications based algorithm ) OR ( _ application ((cloud algorithm) OR (bat algorithm)) ))

Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm by Muhammad Syahril Mohamad Sainal

“…This research will conduct comparison of hybrid Genetic Algorithm and Bat Algorithm (GA-BA) with Genetic Algorithm (GA) and Bat Algorithm (BA). …”
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Dynamic Task Offloading Algorithm for optimising IoT network quality of service in the Mobile-Fog-Cloud System by Nwogbaga, Nweso Emmanuel

“…Most times, the approach of relying on cloud infrastructure for IoT application analysis may be inefficient in terms of the limited battery life of the mobile devices, resource allocation algorithm delay, and computational offloading processes that sometimes increases the response time. …”
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An augmented reality real-time cloud-based remote monitoring algorithm for a manufacturing system / Siti Aisyah Jaafar by Jaafar, Siti Aisyah

“…Conventional AR-IoT applications only specialize in the localized area for the on-site application and not applicable for a remote monitoring system. …”
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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

“…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
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IOT-based fertigation system / Mohamad Amir Furqan Darus by Darus, Mohamad Amir Furqan

“…The Fertigation, the precise application of water and fertilizers in agriculture, has evolved with the integration of Internet of Things (IoT) technology. …”
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Genetic algorithm based adaptive offloading for improving IoT device communication efficiency by Hussain, Azham, Manikanthan, S. V., Padmapriya, T., Nagalingam, Mahendran

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Independent task scheduling algorithms in fog environments from users’ and service providers’ perspectives: a systematic review by Al-Qadhi, Abdulrahman K., Latip, Rohaya, Chiong, Raymond, Athauda, Rukshan, Hussin, Masnida

“…To assure unbiased evaluation, a benchmark to assess task scheduling algorithms is proposed based on comparison to state-or-art algorithms, applicability to real-world contexts, meeting the objectives of the study, negative impacts on other performance metrics, and sizes of datasets used for evaluation. …”
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Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions by Akhlaqi, Mohammad Yahya, Mohd Hanapi, Zurina

“…Many enterprise companies migrate their services and applications to the cloud to benefit from cloud computing advantages. …”
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Process migration-based computational offloading framework for IOT-supported mobile edge/cloud computing by Abdullah Yousafzai, Ibrar Yaqoob, Muhammad Imran, Abdullah Gani, Rafidah Md Noor

“…Hence, the proposed framework shows profound potential for resource-intensive IoT application processing in MEC.…”
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Process Migration-Based Computational Offloading Framework for IoT-Supported Mobile Edge/Cloud Computing by Yousafzai, Abdullah, Yaqoob, Ibrar, Imran, Muhammad, Gani, Abdullah, Noor, Rafidah Md

“…Hence, the proposed framework shows profound potential for resource-intensive IoT application processing in MEC. © 2014 IEEE.…”
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Scheduling strategy of a cloud-based virtual energy storage system (VESS) for achieving energy saving by Lau, Sim Yee

“…The research explores a review of the literature on limitation of ESS, concepts of VESS, role of cloud computing and IoT in VESS as well as the control strategy algorithm. …”
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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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Task scheduling in cloud computing using Harris-Hawk Optimization by Iza A. A. Bahar, Azali Saudi, Abdul Kadir, Syed Nasirin Syed Zainol Abidin, Tamrin Amboala, Esmadi Abu Bin Abu, Abdullah B. Mohd. Tahir, Suddin Lada

“…In this study, the proposed HHO algorithm is simulated and compared with other well-known swarm intelligence algorithms, including Bat Algorithm (BA), Grey Wolf Optimization (GWO), and Particle Swarm Optimization (PSO). …”
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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

“…Fog computing is a popular choice for Internet of Things (IoT) applications, such as electricity, health, transportation, smart cities, security, and more. …”
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SGM: Strategic Game Model for resisting node misbehaviour in IoT-Cloud ecosystem by Khan, Burhan Ul Islam, Anwar, Farhat, Abdul Rahman, Farah Diyana, Olanrewaju, Rashidah Funke, Goh, Khang Wen, Janin, Zuriati, Rahman, Md Arafatur

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Assessing Bat Roosts Using the LiDAR System at Wind Cave Nature Reserve in Sarawak, Malaysian Borneo by Nursyafiqah, Shazali, Teong, Han Chew, Mohd Shahir, Shamsir, Roberta Chaya, Tawie Tingga, Mohd Ridwan, Abd Rahman, Faisal Ali, Anwarali Khan

“…Bats that roost in large clusters, specifically Penthetor lucasi were determined through automated counting using connected components labelling, a graph theory algorithm mostly used in image analysis applications. …”
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Internet of wearable things-based on lora and wi-fi healthcare monitoring system for medical applications by Suliman Abdulmalek, Hamood Ahmed

“…Specifically, the Internet of Wearable Things (IoWT) enables wearable devices to exchange data with cloud-based IoT servers. Continuous monitoring of vital parameters is crucial for managing chronic diseases effectively. …”
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Dynamic user preference parameters selection and energy consumption optimization for smart homes using deep extreme learning machine and bat algorithm by Shah, Abdul Salam, Mohamad Nasir, Haidawati, Fayaz, Muhammad, Lajis, Adidah, Ullah, Israr, Shah, Asadullah

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Implementing server-side federated learning in an edge-cloud framework for precision aquaculture by Ng, Bryan Jing Hong

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Internet of things security vulnerabilities and recommended solutions by Olanrewaju, Rashidah Funke, Khan, Burhan ul Islam, Anwar, Farhat, Mir, Roohie Naaz

“…The application framework of IoT comprises of devices that are highly heterogeneous and compute migrations from sensor to IoT gateways to edge/fog computing to the cloud and then back to the client along with various alarming components. …”
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