Green Technology Game and Data-Driven Parameter Identification in the Digital Economy by Xiaofeng Li, Qun Zhao

“…A three-dimensional nonlinear dynamic system is constructed using replicator dynamics, and the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm is applied to identify key cost and benefit parameters for firms. …”
Get full text

Optimal Placement of Photovoltaic Distributed Generation Units in Radial Unbalanced Distribution Systems Using MATLAB and OpenDSS-Based Cosimulation and a Proposed Metaheuristic Al... by Thai Dinh Pham, Thang Trung Nguyen, Le Chi Kien

“…In this paper, an improved slime mould algorithm (ISMA) is proposed for finding the optimal location and sizing of photovoltaic distributed generation units (PVDGUs) in unbalanced distribution systems (UDSs). …”
Get full text

Reliability Analysis of High-Pressure Tunnel System Under Multiple Failure Modes Based on Improved Sparrow Search Algorithm–Kriging–Monte Carlo Simulation Method by Yingdong Wang, Chen Xing, Leihua Yao

“…It is often difficult for a structural safety design method based on deterministic analysis to fully and reasonably reflect the randomness of mechanical parameters, while the traditional reliability analysis method has a large calculation cost and low accuracy. …”
Get full text

Multi-objective layout optimization of hospital outpatient clinics based on NSGA II by Yanlin Zhao, Jiamei Gu

“…Abstract This study utilizes an improved NSGA-II algorithm to conduct a multi-objective optimization of the hospital outpatient department layout. …”
Get full text

Enhanced energy-efficient cluster-based routing with spotted hyena optimization in heterogeneous WSNs by Ved Prakash, Suman Pandey, Biswa Mohan Sahoo

“…Abstract Wireless sensor networks (WSNs) are crucial in many applications; hence, it is important to have routing algorithms that are energy-efficient in order to extend the lifespan of the network. …”
Get full text

BOOTSTRAP METHODS FOR INVESTIGATING THE ROCK MASS ZONAL FRACTURE AROUND UNDERGROUND WORKINGS by A. S. Losev

Get full text

Robust Path Tracking Control with Lateral Dynamics Optimization: A Focus on Sideslip Reduction and Yaw Rate Stability Using Linear Quadratic Regulator and Genetic Algorithms by Karrar Y. A. Al-bayati, Ali Mahmood, Róbert Szabolcsi

“…Currently, one of the most important challenges facing autonomous vehicles’ development due to varying driving conditions is effective path tracking while considering lateral stability. To address this issue, this study proposes the optimization of the linear quadratic regulator (LQR) control system by using the genetic algorithm (GA) to support the vehicle in following the predefined path accurately, minimizing the sideslip, and stabilizing the vehicle’s yaw rate. …”
Get full text

An Adaptive Scheduling Method for Standalone Microgrids Based on Deep Q-Network and Particle Swarm Optimization by Borui Zhang, Bo Liu

“…Simulation results demonstrate that, under typical daily, high-volatility, and low-load scenarios, the proposed method improves clean energy utilization by 3.2%, 4.5%, and 10.9%, respectively, compared to conventional PSO algorithms while reducing power supply reliability risks to 0.70%, 1.04%, and 0.30%, respectively. …”
Get full text

To Be competitive or not to be competitive: How performance goals shape human-AI and human-human collaboration by Spatola Nicolas

“…While these tools are used in both private and work contexts, less is known about how the motivational context surrounding algorithm use impacts reliance patterns. …”
Get full text

An Integrated Capacity Allocation and Dynamic Pricing Model Designed for Air Cargo Transportation by Dilhan İlgün Ayhan, S. Emre Alptekin

“…In this study, CVaR and ANN models are used for capacity allocation, regression, and time series, and ANN models are used for demand forecasting, while the SARSA algorithm, one of the reinforcement learning algorithms, is used for dynamic pricing. …”
Get full text

Distributed Task Allocation for UAV Swarms with Limited Communication by Asım Egemen Yılmaz, Mutullah Eşer

“…Task allocation, a crucial aspect of UAV swarm autonomy, involves assigning sequential tasks to each aircraft based on environmental constraints and swarm status. While many task allocation algorithms assume reliable communication among agents, real-world environments often present challenges such as limited bandwidth and message interference. …”
Get full text

A Fish Target Identification and Counting Method Based on DIDSON Sonar and YOLOv5 Model by Wei Shen, Mengqi Liu, Quanshui Lu, Zhaowei Yin, Jin Zhang

“…This study is based on YOLOv5, which trains a recognition model by identifying fish targets in each frame of DIDSON images and uses the DeepSort algorithm to track and count fish targets. Field data collection was conducted at Chenhang Reservoir in Shanghai, and this method was used to process and verify the results. …”
Get full text

Long short‐term memory‐based forecasting of uncertain parameters in an islanded hybrid microgrid and its energy management using improved grey wolf optimization algorithm by Raji Krishna, Hemamalini S

“…Its reliability depends on variable renewable output and load demand, while an energy management system optimizes power scheduling and reduces costs. …”
Get full text

The Bayesian Gaussian mixture model with nearest-neighbor distance (BGMM-NND) algorithm: A new earthquake clustering method and its application to the Sichuan–Yunnan Block by JieYi Hou, Feng Hu, Yang Zang, LingYuan Meng

“…By integrating cumulative probability and BGMM with principal component analysis (PCA), the BGMM-NND algorithm effectively distinguishes between background and triggered earthquakes while maintaining the magnitude component and resolving the issue of excessively large spatial cluster domains. …”
Get full text

Adaptive Sharding for UAV Networks: A Deep Reinforcement Learning Approach to Blockchain Optimization by Kaiyin Lu, Xinguang Zhang, Tianbo Zhai, Mengjie Zhou

“…The proposed optimizations focus on dual objectives: enhancing data security while concurrently accelerating processing speeds. …”
Get full text

A Study on the Effectiveness and Efficiency of Public or Private Hospitals within Pakistan by Noman Islam, Muhammad Usman Raees, Darakshan Syed

“…On this dataset, the paper applies a machine learning algorithm i.e., random forest, to predict which hospital type is suitable for them while considering the variables. …”
Get full text

A High-Precision Method for Evaluating the Similarity of Maritime Vessel Trajectories by Ran Ji, Mengkai Ma, Jian Dong, Sen Wang

Get full text

A Lightweight Cryptographic Framework Based on Hybrid Cellular Automata for IoT Applications by Abrar Hasan, M. M. A. Hashem

“…Therefore, ensuring proper security while using these low resources is challenging. In contrast, the conventional cryptographic algorithm has higher complexity and high resource requirements, making it incompetent for IoT devices. …”
Get full text

Flexible Reconfiguration for Optimal Operation of Distribution Network Under Renewable Generation and Load Uncertainty by Behzad Esmaeilnezhad, Hossein Amini, Reza Noroozian, Saeid Jalilzadeh

“…The primary objective when operating a distribution network is to minimize operating costs while taking technical constraints into account. …”
Get full text

Learning Parameter Dependence for Fourier-Based Option Pricing with Tensor Trains by Rihito Sakurai, Haruto Takahashi, Koichi Miyamoto

“…A recent study has proposed to use tensor train learning algorithms to speed up Fourier transform (FT)-based option pricing, utilizing the ability of tensor trains to compress high-dimensional tensors. …”
Get full text