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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....

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...

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)....

A survey of backdoor attacks and defences: From deep neural networks to large language models

Deep neural networks (DNNs) have found extensive applications in safety-critical artificial intelligence systems, such as autonomous driving and facial recognition systems. However, recent research...

Hybrid big data optimization based energy-efficient and AI-powered green architecture toward smart cities and 5G-IoT applications

The convergence of Internet of things (IoT) and 5G holds immense potential for transforming industries by enabling real-time, massive-scale connectivity and automation. However, the growing number of...

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...

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...

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...

2D PdSe2: Pioneering innovations in polarized photodetection

Palladium diselenide (PdSe2), a novel two-dimensional (2D) material with a unique pentagonal crystal structure including anisotropic properties, has emerged as a highly promising candidate for developing...

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...

A 27 ​GHz, simple 2-bit 1×8 phased array

This study demonstrates a simple 2-bit phased array operating at 27 ​GHz that supports one-dimensional beam scanning with left-handed circular polarization (LHCP). The antenna is constructed using a...

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....

Data augmentation method for insulators based on Cycle GAN

Data augmentation is an important task of using existing data to expand data sets. Using generative countermeasure network technology to realize data augmentation has the advantages of high-quality...

Multi-UAV path planning for multiple emergency payloads delivery in natural disaster scenarios

Unmanned aerial vehicles (UAVs) are widely used in situations with uncertain and risky areas lacking network coverage. In natural disasters, timely delivery of first aid supplies is crucial. Current...

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....

Automated ECG arrhythmia classification using hybrid CNN-SVM architectures

Diagnosing cardiac diseases relies heavily on electrocardiogram (ECG) analysis, but detecting myocardial infarction-related arrhythmias remains challenging due to irregular heartbeats and signal variations....

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....

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...

Grape Guard: A YOLO-based mobile application for detecting grape leaf diseases

Grape crops are a great source of income for farmers. The yield and quality of grapes can be improved by preventing and treating diseases. The farmer's yield will be dramatically impacted if diseases...

High-efficient single-phase, non-isolated, multi-input microinverter with common ground for photovoltaic systems

Single-phase non-isolated microinverters used in photovoltaic (PV) systems commonly encounter two persistent challenges: High-frequency leakage current and fluctuating power delivery. This paper presents...

Comprehensive performance analysis of CMOS and CNTFET based 8T SRAM cell

In recent years, carbon nanotube field effect transistor (CNTFET) has become an attractive alternative to silicon for designing high-performance, highly stable, and low-power static random access memory...

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...

Unsupervised side-channel power analysis based on invariant information clustering

Side-channel analysis (SCA) has emerged as a research hotspot in the field of cryptanalysis. Among various approaches, unsupervised deep learning-based methods demonstrate powerful information extraction...

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...

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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