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ISSN: 1674-862X
CN: 51-1724/TN
e-ISSN: 2666-223X

Hyperparameter Optimization for Machine Learning Models Based on Bayesian Optimizationb

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

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

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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Big data challenge for monitoring quality in higher education institutions using business intelligence dashboards

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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Impact of coronavirus pandemic crisis on technologies and cloud computing applications

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

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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IoT-solar energy powered smart farm irrigation system

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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Benchmarking YOLOv5 models for improved human detection in search and rescue missions

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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Review on dynamic bandwidth allocation of GPON and EPON

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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Coherent optical frequency combs: From principles to applications

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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Evaluation of a software positioning tool to support SMEs in adoption of big data analytics

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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Blockchain energy: Blockchain in future energy systems

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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Machine learning algorithm partially reconfigured on FPGA for an image edge detection system

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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Quantum Cryptography for Internet of Things Securitya

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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Efficient ECG classification based on Chi-square distance for arrhythmia detection

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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Recent advances of bismuth oxychloride photocatalytic material: Property, preparation and performance enhancement

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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Machine learning model based on non-convex penalized huberized-SVM

The support vector machine (SVM) is a classical machine learning method. Both the hinge loss and least absolute shrinkage and selection operator (LASSO) penalty are usually used in traditional SVMs....

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FPGA-based acceleration for binary neural networks in edge computing

As a core component in intelligent edge computing, deep neural networks (DNNs) will increasingly play a critically important role in addressing the intelligence-related issues in the industry domain,...

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Multi-scale persistent spatiotemporal transformer for long-term urban traffic flow prediction

Long-term urban traffic flow prediction is an important task in the field of intelligent transportation, as it can help optimize traffic management and improve travel efficiency. To improve prediction...

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Computationally efficient MUSIC based DOA estimation algorithm for FMCW radar

This paper proposes low-cost yet high-accuracy direction of arrival (DOA) estimation for the automotive frequency-modulated continuous-wave (FMCW) radar. The existing subspace-based DOA estimation algorithms...

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High capacity data rate system: Review of visible light communications technology

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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Review of roll-to-roll fabrication techniques for colloidal quantum dot solar cells

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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Iterative physical optics method based on efficient occlusion judgment with bounding volume hierarchy technology

This paper builds a binary tree for the target based on the bounding volume hierarchy technology, thereby achieving strict acceleration of the shadow judgment process and reducing the computational...

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Redox memristors with volatile threshold switching behavior for neuromorphic computing

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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Fine-grained grid computing model for Wi-Fi indoor localization in complex environments

The fingerprinting-based approach using the wireless local area network (WLAN) is widely used for indoor localization. However, the construction of the fingerprint database is quite time-consuming....

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