Hyperparameter Optimization for Machine Learning Models Based on Bayesian Optimizationb
March 2019
Hyperparameters are important for machine learning algorithms since they directly control the behaviors of training algorithms and have a significant effect on the performance of machine learning models....
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Perovskite single crystals: Synthesis, properties, and applications
June 2021
Perovskite single crystals have gained enormous attention in recent years due to their facile synthesis and excellent optoelectronic properties including the long carrier diffusion length, high carrier...
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Knowledge graph and knowledge reasoning: A systematic review
June 2022
The knowledge graph (KG) that represents structural relations among entities has become an increasingly important research field for knowledge-driven artificial intelligence. In this survey, a comprehensive...
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Impact of coronavirus pandemic crisis on technologies and cloud computing applications
March 2021
In light of the COVID-19 outbreak caused by the novel coronavirus, companies and institutions have instructed their employees to work from home as a precautionary measure to reduce the risk of contagion....
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Progress and prospects of hydrogen production: Opportunities and challenges
June 2021
This study presents an overview of the current status of hydrogen production in relation to the global requirement for energy and resources. Subsequently, it symmetrically outlines the advantages and...
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Big data challenge for monitoring quality in higher education institutions using business intelligence dashboards
March 2024
As big data becomes an apparent challenge to handle when building a business intelligence (BI) system, there is a motivation to handle this challenging issue in higher education institutions (HEIs)....
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IoT-solar energy powered smart farm irrigation system
December 2019
As the Internet of things (IoT) technology is evolving, distributed solar energy resources can be operated, monitored, and controlled remotely. The design of an IoT based solar energy system for smart...
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Intelligent obstacle avoidance algorithm for safe urban monitoring with autonomous mobile drones
December 2024
The growing field of urban monitoring has increasingly recognized the potential of utilizing autonomous technologies, particularly in drone swarms. The deployment of intelligent drone swarms offers...
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Coherent optical frequency combs: From principles to applications
June 2022
A coherent optical frequency comb is a kind of broad-spectrum light sources delivering equidistant frequencies, and correspondingly its temporal waveform appears as a sequence of ultrashort pulses....
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Sparse antenna array design methodologies: A review
September 2024
Designing a sparse array with reduced transmit/receive modules (TRMs) is vital for some applications where the antenna system's size, weight, allowed operating space, and cost are limited. Sparse arrays...
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Review on dynamic bandwidth allocation of GPON and EPON
December 2020
The passive optical network (PON) technology has been drastically improved in recent years. In spite of using the optical technology, the utilization of the entire bandwidth is a very challenging task....
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Benchmarking YOLOv5 models for improved human detection in search and rescue missions
March 2024
Drone or unmanned aerial vehicle (UAV) technology has undergone significant changes. The technology allows UAV to carry out a wide range of tasks with an increasing level of sophistication, since drones...
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Recent advances of bismuth oxychloride photocatalytic material: Property, preparation and performance enhancement
June 2020
Due to its unique layered structure, bismuth oxychloride (BiOCl) has potential applications as a photocatalytic material in clean energy utilization and environmental purification. In recent years,...
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High capacity data rate system: Review of visible light communications technology
September 2020
Wireless communications have become an integral part of global convergence as global connectedness has gradually become dependent on its efficient deployment. The need for “more-broadband” techniques...
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Efficient ECG classification based on Chi-square distance for arrhythmia detection
June 2024
This study introduces a new classifier tailored to address the limitations inherent in conventional classifiers such as K-nearest neighbor (KNN), random forest (RF), decision tree (DT), and support...
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Blockchain energy: Blockchain in future energy systems
December 2019
The ongoing, in-depth transformation of the electricity sector towards increased use of alternative, renewable energy sources extends beyond a simple decentralisation drive in the electricity market....
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CNN-LSTM based incremental attention mechanism enabled phase-space reconstruction for chaotic time series prediction
June 2024
To improve the prediction accuracy of chaotic time series and reconstruct a more reasonable phase space structure of the prediction network, we propose a convolutional neural network (CNN)-long short-term...
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De-biased knowledge distillation framework based on knowledge infusion and label de-biasing techniques
September 2024
Knowledge distillation, as a pivotal technique in the field of model compression, has been widely applied across various domains. However, the problem of student model performance being limited due...
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Review of roll-to-roll fabrication techniques for colloidal quantum dot solar cells
March 2023
Colloidal quantum dots (CQDs) are of great interest for photovoltaic (PV) technologies as they possess the benefits of solution-processability, size-tunability, and roll-to-roll manufacturability, as...
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Quantum Cryptography for Internet of Things Securitya
September 2019
Internet of things (IoT) is a developing technology with a lot of scope in the future. It can ease various different tasks for us. On one hand, IoT is useful for us, on the other hand, it has many serious...
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Redox memristors with volatile threshold switching behavior for neuromorphic computing
December 2022
The spiking neural network (SNN), closely inspired by the human brain, is one of the most powerful platforms to enable highly efficient, low cost, and robust neuromorphic computations in hardware using...
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Characteristics of sub-synchronous oscillation in grid-connected wind farm system
December 2023
With the rapid development of wind power, wind turbines are accompanied by a large quantity of power electronic converters connected to the grid, causing changes in the characteristics of the power...
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Evaluation of a software positioning tool to support SMEs in adoption of big data analytics
March 2024
Big data analytics has been widely adopted by large companies to achieve measurable benefits including increased profitability, customer demand forecasting, cheaper development of products, and improved...
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Enhancing personalized exercise recommendation with student and exercise portraits
June 2024
The exercise recommendation system is emerging as a promising application in online learning scenarios, providing personalized recommendations to assist students with explicit learning directions. Existing...
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Machine learning algorithm partially reconfigured on FPGA for an image edge detection system
June 2024
Unmanned aerial vehicles (UAVs) have been widely used in military, medical, wireless communications, aerial surveillance, etc. One key topic involving UAVs is pose estimation in autonomous navigation....
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