Multi-task snake optimization algorithm for global optimization and planar kinematic arm control problem by Qingrui Li, Yongquan Zhou, Qifang Luo

Subjects: Get full text

International Chinese Education Expert System Based on Artificial Intelligence and Machine Learning Algorithms by Lin Shen, Faiza Latif

“…At the same time, this study introduces the degree of closeness and satisfaction to improve the decision-making process and finally determines the optimal solution. In addition, this study constructs an intelligent system based on the improved algorithm. …”
Get full text

Targeted nano-energetic material exploration through active learning algorithm implementation by Leandro Carreira, Lea Pillemont, Yasser Sami, Nicolas Richard, Alain Esteve, Matthieu Jonckheere, Carole Rossi

Get full text

Optimal band selection and transfer in drone-based hyperspectral images for plant-level vegetable crops identification using statistical-swarm intelligence (SSI) hybrid algorithms by Anagha S. Sarma, Rama Rao Nidamanuri

“…We ranked the spectral bands based on their separability among the ground truth classes that follows a Weibull distribution and applied swarm-intelligence algorithms for the optimal band set. The optimal band set is further tested for its capability to distinguish crops from images acquired at different flight heights of drone, and at different points of time. …”
Get full text

Using The Hybrid GA-Ant Algorithm To Find The Optimal Path In Computer Networks by Ibtisam Turki

Subjects: Get full text

Evaluation of the impact of the distance determination function on the results of optimization of the geographical placement of renewable energy sources-based generation using a... by Andrei M. Bramm, Stanislav A. Eroshenko

Get full text

Research on intelligent control of coal slime flotation based on the WOA-GRU model by DOU Zhiheng, WANG Ranfeng, QIN Xinkai, CHAI Yuqing, LI Pinyu, LIU Shutong

“…To address the low fitting accuracy of traditional identification methods, a Whale Optimization Algorithm (WOA)-based Gated Recurrent Unit (GRU) system identification model (WOA-GRU) was proposed. …”
Get full text

Integrating Explainable Artificial Intelligence With Advanced Deep Learning Model for Crowd Density Estimation in Real-World Surveillance Systems by Sultan Refa Alotaibi, Hanan Abdullah Mengash, Mohammed Maray, Faiz Abdullah Alotaibi, Abdulwhab Alkharashi, Ahmad A. Alzahrani, Moneerah Alotaibi, Mrim M. Alnfiai

“…This study proposes an Osprey Optimization Algorithm with Deep Learning Assisted Crowd Density Detection and Classification (OOADL-CDDC) technique for smart video surveillance systems. …”
Get full text

Optimizing Smart Manufacturing Processes and Human Resource Management through Machine Learning Algorithms by Deden Komar Priatna, Winna Roswinna, Nandan Limakrisna, Azam Khalikov, Diyorjon Abdullaev, Layth Hussein

Get full text

Resource allocation for the semantic communication in the intelligent networked environment by Jiujiu CHEN, Caili GUO, Chunyan FENG, Chuanhong LIU

“…Traditional resource allocation methods are difficult to meet the needs of various services to accurately understand the semantics of a large amount of multimedia data in the intelligent networked environment.Facing with this challenge, taking intelligent task-oriented internet of vehicles scenarios as an example, two resource allocation optimization criteria for the semantic communication were firstly proposed.Then, according to different dimensions of resources, the models and algorithms of the resource allocation for the semantic communication were described.Then, a semantic communication-oriented image dataset was constructed, and the performance advantages of the proposed resource allocation methods in the simulation scenario of the internet of vehicles were analyzed.Finally, the future challenges of the resource allocation for the semantic communication were presented.…”
Get full text

Research on Radio Network Intelligent Frequency Selection Technology Based on an Adaptive Genetic Algorithm by Wenjun Wang

“…In order to solve the problem of selecting frequency more and more difficultly for radio network,an intelligent frequency selection technology based on an adaptive genetic algorithm was proposed.Frequencies were selected for whole radio network from the perspective of intelligent optimization.On the basis of the standard genetic algorithm,this novel method improved genetic operators,and the preservation of the optimal individual algorithm to ensure the diversity of the population was introduced.Therefore,the arithmetic which did well in avoiding some deficiencies of the traditional frequency selection algorithm prevented local optimization and ran into overall optimization ultimately.Theoretical analysis and simulation results show that the new algorithm in solving the problem of frequency selection for large-scale network has higher efficiency and precision than the traditional algorithm,and stability is significantly enhanced.…”
Get full text

Optimized Dual-Battery System with Intelligent Auto-Switching for Reliable Soil Nutrient Monitoring in Remote IoT Applications by Doan Perdana, Pascal Lorenz, Bagus Aditya

“…The integration of intelligent auto-switching mechanisms and metaheuristic optimisation algorithms demonstrates a marked enhancement in both reliability and energy efficiency for soil nutrient monitoring systems. …”
Get full text

Optimal tuning of PID controller for V/f control of linear induction motor using artificial biological intelligence by Vineet Shekher, Aayush Sisodiya, Ashutosh Kumar Sinha, Himanshu Harsh, Nirmala Soren

Get full text

An Enhanced Forwarding Method based on Intelligent Water Drops Algorithm in Named Data Network by HamidReza Afzal, Behrang Barekatain, Zahra Beheshti

“…Not considering the service quality parameters sufficiently to find an optimal path is a problem to be focused more on. In line with this, this study has addressed the Intelligent Water Drops (IWD) optimization algorithm. …”
Get full text

Intelligent Warehouse Robot Scheduling System Using a Modified Nondominated Sorting Algorithm by Jia Ma, Shujun Yang, Hao Jing

“…In this paper, a task assignment model for robots is presented with the transportation problem of robots in intelligent warehouse as the research background. To solve the robot task assignment problem in intelligent warehouse, a novel Pareto-based multiobjective optimization algorithm (MOEA) is proposed, and the aggregation function is invoked to replace the crowding distance; the brain storm operator is used for crossover and mutation. …”
Get full text

Intelligent Operation and Maintenance of Wind Turbines Gearboxes via Digital Twin and Multi-Source Data Fusion by Tiantian Xu, Xuedong Zhang, Wenlei Sun, Binkai Wang

Subjects: Get full text

The Game Theory Application in the Transport Flows Control Algorithm Development in the Intelligent Transport System by N. S. Yankevich

“…Traffic management in modern intelligent transport systems includes monitoring the actual traffic situation in real time (volumes, speeds, incidents, etc.) and management or controlling transport traffic using this information. …”
Get full text

Autonomous Parking Path Planning Method for Intelligent Vehicles Based on Improved RRT Algorithm by Jian Chen, Rongqi Ma, Cunhao Lu, Yaoji Deng

Get full text

Artificial intelligence in the diagnosis of endocrine disorders: A focus on diabetes and thyroid diseases by Kimi Milić Marko, Sinanović Šćepan, Prodović Tanja, Ilanković Tanja

“…Artificial intelligence, particularly machine learning (ML) and deep learning (DL) algorithms, has emerged as a pivotal technology in medicine, enabling early diagnosis and precise evaluation of complex medical conditions. …”
Get full text

Enhanced multivariate data fusion and optimized algorithm for comprehensive quality profiling and origin traceability of Chinese jujube by Peng Chen, Xiaoli Wang, Rao Fu, Xiaoyan Xiao, Yu Li, Tulin Lu, Tao Wang, Qiaosheng Guo, Peina Zhou, Chenghao Fei

Get full text