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Application and evaluation of the evolutionary algorithms combined with conventional neural network to determine the building energy consumption of the residential sector by Wang G., Mukhtar A., Moayedi H., Khalilpoor N., Tt Q.

Energy Efficient LEACH (EE-LEACH) Routing Algorithm for Wireless Sensor Networks by Pillay, Kosheila Sundram

“…From the improved results, it can be concluded that the proposed EE-LEACH algorithm performs much better in WSNs while reducing the average energy consumption and packet loss ratio.…”
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Computational model for energy aware TDMA-based MAC protocol for wireless sensor network system by A. Rashid, Rozeha, Ehsan, Wan Mohd. Arif, Zaharim, Azami, Fisal, Norsheila

“…This paper proposes a novel approach that tries to reduce idle energy consumption by implementing active-sleep algorithm named energy aware A-MAC protocol. …”
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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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Energy-efficient ant colony based leach routing algorithm in wireless sensor network by Muhammad Zahir Abd Latif, Kit Guan Lim, Min Keng Tan, Helen Sin Ee Chuo, Tienlei Wang, Kenneth Tze Kin Teo

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Optimization of assembly line balancing with energy efficiency by using tiki-taka algorithm by Ariff Nijay, Ramli

“…This is a clear indication that the developed TTA algorithm is reliable and could be used in optimizing a real-life problem by the resequence of the assembly task, thus reducing the cycle time and could reduce the total energy consumption by machinery…”
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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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Using genetic algorithms to optimise land use suitability by Pormanafi, Saeid

“…In this study, under environmentfriendliness objective, based on multi-agent genetic algorithms, was developed a geospatial model for the land use allocation. …”
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Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

“…The focus of this study is to propose an enhancement on memory consumption by reducing the number of candidates generated for the existing FLEX algorithm which will reduce the amount of memory needed to execute the algorithm. …”
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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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Predetermined path of mobile data gathering in wireless sensor networks based on network layout by Ghaleb, Mukhtar, Subramaniam, Shamala, Othman, Mohamed, Ahmad Zulkarnain, Zuriati

“…Extensive discrete-event simulations have been developed to assess the performance of the proposed algorithm. …”
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HDRA: A Haybird Data Reduction and Routing Algorithm by Hussein, M. K., Marghescu, Ion, A. M. Alduais, Nayef

“…Presently, wireless sensor networks (WSNs) are emerging as a vibrant field of research due to various challenging aspects such as energy consumption, routing strategies, effectiveness, among others. …”
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Music Recommender System Using Machine Learning Content-Based Filtering Technique by Foong, Kin Hong

“…These algorithms identify hidden patterns or data groupings without the assistance of a human. …”
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Predicting freshwater production and energy consumption in a seawater greenhouse based on ensemble frameworks using optimized multi-layer perceptron by Ehteram M., Ahmed A.N., Kumar P., Sherif M., El-Shafie A.

HDRA: A Haybird Data Reduction and Routing Algorithm by M. K. Hussein, M. K. Hussein, Ion Marghescu, Ion Marghescu, Nayef A. M. Alduais, Nayef A. M. Alduais

“…Presently, wireless sensor networks (WSNs) are emerging as a vibrant field of research due to various challenging aspects such as energy consumption, routing strategies, effectiveness, among others. …”
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Review of optimal methods and algorithms for sizing energy storage systems to achieve decarbonization in microgrid applications by Hannan M.A., Faisal M., Jern Ker P., Begum R.A., Dong Z.Y., Zhang C.

Optimized scheme for efficient and scalable key management in IEEE 802.16e-based networks by Sadeghi, Mohammad Mehdi Gilanian

“…Simulation results show that SEKMP achieves a better balance among the performance parameters compared against the other schemes, while E-SEKMP shows reduced communications costs and energy consumptions. …”
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Performance of Turbofan Engine Nacelle Design for Boeing 777X Using Computational Fluid Dynamics Analysis by Nova Zena, Vania, Andrew Ragai, Henry Rigit

“…However, the optimized ultra-short nacelle, developed using a hybrid NSGA-Non Dominated Sorting Genetic Algorithm II and fmincon- Find Minimum of Constrained optimization approach using MATLAB, achieved a significantly lower drag coefficient and reduced block fuel consumption by 80.13%. …”
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Trade-off between energy efficiency and collisions for MAC protocols of wireless sensor network by Jahan, Mohammad Saukat

“…Simulation models have been developed and simulated to verify the performance improvements of the proposed algorithms. …”
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Simulation and control design of a midrange WPT charging system for in-flight drones by Allama, Oussama, Habaebi, Mohamed Hadi, Khan, Sheroz, Islam, Md Rafiqul, Alghaihab, Abdullah

“…Furthermore, the model is significantly enhanced by introducing the concept of the positioning mutual coupling function for the receiver trajectory; thus, it is possible to simulate a genuine continuous trajectory for UAVs and link it to the systems’ total input power consumption. The developed control algorithm can direct the magnetic field resultant to track the exact trajectory of the drone. …”
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