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Designing Efficient Smart Home Management with IoT Smart Lighting: A Case Study

Wireless communications and mobile computing, 2020, Vol.2020 (2020), p.1-18

2020

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A High-Performance Stochastic Fractal Search Algorithm for Optimal Generation Dispatch Problem

Energies (Basel), 2019-05, Vol.12 (9), p.1796

2019

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Lightbeam Configuration Method and Interference Elimination Resource Scheduling for Indoor Multibeam VLC Networks

Journal of optical communications, 2022-07, Vol.43 (3), p.363-377

2022

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Improved Genetic Algorithm Tuning Controller Design for Autonomous Hovercraft

Processes, 2020-01, Vol.8 (1), p.66

2020

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Dynamic Resource Provisioning on Fog Landscapes

Security and communication networks, 2019-01, Vol.2019 (2019), p.1-15

2019

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A Comprehensive Lighting Configuration for Efficient Indoor Visible Light Communication Networks

International Journal of Optics, 2016-01, Vol.2016 (2016), p.183-191

2016

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Mobile Application for Visible Light Communication Systems: An Approach for Indoor Positioning

Photonics, 2024-04, Vol.11 (4), p.293

2024

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Machine learning algorithms for electrical appliances monitoring system using open-source systems

IAES international journal of artificial intelligence, 2022-03, Vol.11 (1), p.300

2022

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Human Visual System Model-Based Optimized Tone Mapping of High Dynamic Range Images

IEEE access, 2021, Vol.9, p.127343-127355

2021

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Current and Stray Flux Sensors for Anomaly Detection in PMSM Drive Based on Gradient Boosting Machine

2023 IEEE SENSORS, 2023, p.01-04

2023

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AI System for Monitoring States and Power Consumption of Household Appliances

2020 IEEE Eighth International Conference on Communications and Electronics (ICCE), 2021, p.527-532

2021

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Downlink queuing model and packet scheduling for providing lossless handoff and QoS in AG mobile networks

IEEE transactions on mobile computing, 2006-05, Vol.5 (5), p.452-462

2006

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A System for Monitoring the Electric Usage of Home Appliances using Machine Learning Algorithms

2019 International Conference on Advanced Computing and Applications (ACOMP), 2019, p.158-164

2019

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Power Control in a modified Strict Frequency Reuse Algorithm Utilizing Q-Learning

2022 IEEE Ninth International Conference on Communications and Electronics (ICCE), 2022, p.48-52

2022

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Developing an XGBoost model to predict blast-induced peak particle velocity in an open-pit mine: a case study

Acta geophysica, 2019-04, Vol.67 (2), p.477-490

2019

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Prediction of slope failure in open-pit mines using a novel hybrid artificial intelligence model based on decision tree and evolution algorithm

Scientific reports, 2020-06, Vol.10 (1), p.9939-9939, Article 9939

2020

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Pasa: leveraging population pangenome graph to scaffold prokaryote genome assemblies

Nucleic acids research, 2024-02, Vol.52 (3), p.e15-e15

2024

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iProDNA-CapsNet: identifying protein-DNA binding residues using capsule neural networks

BMC bioinformatics, 2019-12, Vol.20 (Suppl 23), p.634-634, Article 634

2019

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Predicting Blast-Induced Air Overpressure: A Robust Artificial Intelligence System Based on Artificial Neural Networks and Random Forest

Natural resources research (New York, N.Y.), 2019-07, Vol.28 (3), p.893-907

2019

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Predicting Ground Vibrations Due to Mine Blasting Using a Novel Artificial Neural Network-Based Cuckoo Search Optimization

Natural resources research (New York, N.Y.), 2021-06, Vol.30 (3), p.2663-2685

2021

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Analyzing the correlation between protein expression and sequence-related features of mRNA and protein in Escherichia coli K-12 MG1655 model

PloS one, 2024-02, Vol.19 (2), p.e0288526-e0288526

2024

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A Novel Hybrid Model for Predicting Blast-Induced Ground Vibration Based on k-Nearest Neighbors and Particle Swarm Optimization

Scientific reports, 2019-09, Vol.9 (1), p.13971-14, Article 13971

2019

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A comparative study of empirical and ensemble machine learning algorithms in predicting air over-pressure in open-pit coal mine

Acta geophysica, 2020-04, Vol.68 (2), p.325-336

2020

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Estimating PM10 Concentration from Drilling Operations in Open-Pit Mines Using an Assembly of SVR and PSO

Applied sciences, 2019-07, Vol.9 (14), p.2806

2019

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Predicting Blast-induced Ground Vibration in Quarries Using Adaptive Fuzzy Inference Neural Network and Moth–Flame Optimization

Natural resources research (New York, N.Y.), 2021-12, Vol.30 (6), p.4719-4734

2021

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Designing Efficient Smart Home Management with IoT Smart Lighting: A Case Study

A High-Performance Stochastic Fractal Search Algorithm for Optimal Generation Dispatch Problem

Lightbeam Configuration Method and Interference Elimination Resource Scheduling for Indoor Multibeam VLC Networks

Improved Genetic Algorithm Tuning Controller Design for Autonomous Hovercraft

Dynamic Resource Provisioning on Fog Landscapes

A Comprehensive Lighting Configuration for Efficient Indoor Visible Light Communication Networks

Mobile Application for Visible Light Communication Systems: An Approach for Indoor Positioning

Machine learning algorithms for electrical appliances monitoring system using open-source systems

Human Visual System Model-Based Optimized Tone Mapping of High Dynamic Range Images

Current and Stray Flux Sensors for Anomaly Detection in PMSM Drive Based on Gradient Boosting Machine

AI System for Monitoring States and Power Consumption of Household Appliances

Downlink queuing model and packet scheduling for providing lossless handoff and QoS in AG mobile networks

A System for Monitoring the Electric Usage of Home Appliances using Machine Learning Algorithms

Power Control in a modified Strict Frequency Reuse Algorithm Utilizing Q-Learning

Developing an XGBoost model to predict blast-induced peak particle velocity in an open-pit mine: a case study

Prediction of slope failure in open-pit mines using a novel hybrid artificial intelligence model based on decision tree and evolution algorithm

Pasa: leveraging population pangenome graph to scaffold prokaryote genome assemblies

iProDNA-CapsNet: identifying protein-DNA binding residues using capsule neural networks

Predicting Blast-Induced Air Overpressure: A Robust Artificial Intelligence System Based on Artificial Neural Networks and Random Forest

Predicting Ground Vibrations Due to Mine Blasting Using a Novel Artificial Neural Network-Based Cuckoo Search Optimization

Analyzing the correlation between protein expression and sequence-related features of mRNA and protein in Escherichia coli K-12 MG1655 model

A Novel Hybrid Model for Predicting Blast-Induced Ground Vibration Based on k-Nearest Neighbors and Particle Swarm Optimization

A comparative study of empirical and ensemble machine learning algorithms in predicting air over-pressure in open-pit coal mine

Estimating PM10 Concentration from Drilling Operations in Open-Pit Mines Using an Assembly of SVR and PSO

Predicting Blast-induced Ground Vibration in Quarries Using Adaptive Fuzzy Inference Neural Network and Moth–Flame Optimization

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