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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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Sparse antenna array design methodologies: A review

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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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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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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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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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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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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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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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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On large language models safety, security, and privacy: A survey

The integration of artificial intelligence (AI) technology, particularly large language models (LLMs), has become essential across various sectors due to their advanced language comprehension and generation...

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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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Intelligent obstacle avoidance algorithm for safe urban monitoring with autonomous mobile drones

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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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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Adaptive multi-agent reinforcement learning for dynamic pricing and distributed energy management in virtual power plant networks

This paper presents a novel approach to dynamic pricing and distributed energy management in virtual power plant (VPP) networks using multi-agent reinforcement learning (MARL). As the energy landscape...

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Compressive near-field millimeter wave imaging algorithm based on gini index and total variation mixed regularization

A compressive near-field millimeter wave (MMW) imaging algorithm is proposed. From the compressed sensing (CS) theory, the compressive near-field MMW imaging process can be considered to reconstruct...

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RUDIE: Robust approach for underwater digital image enhancement

Processing underwater digital images is critical in ocean engineering, biology, and environmental studies, focusing on challenges such as poor lighting, image de-scattering, and color restoration. Due...

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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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Airborne ultra-low profile ultra-wideband omnidirectional antenna based on tightly coupled arrays

Against the backdrop of electromagnetic space integration, the radio system of equipment platforms, such as next-generation aircraft, must possess multifunctional integration and electromagnetic stealth...

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Chinese named entity recognition with multi-network fusion of multi-scale lexical information

Named entity recognition (NER) is an important part in knowledge extraction and one of the main tasks in constructing knowledge graphs. In today's Chinese named entity recognition (CNER) task, the BERT-BiLSTM-CRF...

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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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Dual-band and high-isolation shared-aperture antenna for broadband airborne applications

A dual-band and high-isolation shared-aperture antenna for unmanned aerial vehicle (UAV) platforms has been proposed. This shared-aperture antenna consists of a rectangular monopole antenna and a 4-element...

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Efficient anomaly detection method for offshore wind turbines

Time-series anomaly detection plays a crucial role in the operation of offshore wind turbines. Various wind turbine monitoring systems rely on time-series data to monitor and identify anomalies in real-time,...

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UAV data link anti-interference via SLHS-SVM-AdaBoost algorithm: Classification prediction and route planning

The ability to predict the anti-interference communications performance of unmanned aerial vehicle (UAV) data links is critical for intelligent route planning of UAVs in real combat scenarios. Previous...

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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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