Fairness Optimization for VLC Systems With Liquid Crystal-Based RIS-Enabled Transmitters by Xin-Yu Zhang, Jian Zhang, Qi Wu

“…In this paper, we investigate the VLC system employing the RIS-assisted transmitter, where user fairness is maximized by optimizing the refractive index of the RIS module. To address the non-convex problem, we adopt the particle swarm optimization (PSO) algorithm. …”
Get full text

Optimization method of investment package based on Markowitz portfolio theory by A. D. Baydalin

Subjects: Get full text

Securing the economic management and service infrastructure of banks via the use of artificial intelligence (MO-ILSTM) by Xintong Wu

Get full text

Lévy Flight Shuffle Frog Leaping Algorithm Based on Differential Perturbation and Quasi-Newton Search by Xinming Zhang, Zihao Fu, Haiyan Chen, Wentao Mao, Shangwang Liu, Guoqi Liu

Subjects: “…Intelligent optimization algorithm…”
Get full text

An Improved Soft Island Model of the Fish School Search Algorithm with Exponential Step Decay Using Cluster-Based Population Initialization by Liliya A. Demidova, Vladimir E. Zhuravlev

Get full text

Accurate modeling and simulation of the effect of bacterial growth on the pH of culture media using artificial intelligence approaches by Suleiman Ibrahim Mohammad, Hamza Abu Owida, Asokan Vasudevan, Suhas Ballal, Shaker Al-Hasnaawei, Subhashree Ray, Naveen Chandra Talniya, Aashna Sinha, Vatsal Jain, Ahmad Abumalek

“…The Coupled Simulated Annealing (CSA) algorithm was employed to optimize the hyperparameters of these models, enhancing their predictive performance. …”
Get full text

Enhancing electric vehicle range through real-time failure prediction and optimization: Introduction to DHBA-FPM model with an artificial intelligence approach by Yunus Emre Ekici, Teoman Karadağ, Ozan Akdağ, Ahmet Arif Aydin, Hüseyin Ozan Tekin

“…To address this issue, we utilized 250,000 rows of real-time data from electric trolleybuses operating in Türkiye to develop a robust artificial intelligence (AI)-based optimization model for failure mitigation. …”
Get full text

An survey on application of artificial intelligence in 5G system by Jianwu ZHANG, Luxin WANG, Lingfen SUN, Qianye ZHANG, Hangguan SHAN

“…With the continuous development of 5G, the era of the internet of everything is coming.Problems such as massive device connections, massive application requests, ultra-high network load and complex dynamic network environment pose great challenges to the optimization of 5G systems in the context of the internet of everything.Facing these challenges, artificial intelligence (AI) shows its unique advantages.Firstly, the advantages of deep learning driven AI algorithms in 5G system compared with conventional algorithms were briefly introduced.Then, the application of AI algorithms in multi-access edge computing (MEC) and mmWave massive multiple-input multiple-output (MIMO) system were described in detail, with advantages and disadvantages of each method being compared and analyzed.Finally, according to the existing research, the shortcomings of AI algorithms in 5G application scenarios were summarized and the future research directions were forecasted.…”
Get full text

An Intelligent Evaluation Method of Supply-Demand Matching Degree Based on ELECTRE III and VIKOR in Cloud Manufacturing Platform by Jihong Pang, Yuxuan Shi, Jinkun Dai

“…Based on the characteristics of cloud manufacturing, this paper proposes an intelligent evaluation method of supply-demand matching degree based on ELECTRE III and VIKOR. …”
Get full text

Intelligent Prediction Model of the Triaxial Compressive Strength of Rock Subjected to Freeze-Thaw Cycles Based on a Genetic Algorithm and Artificial Neural Network by Xin Xiong, Feng Gao, Keping Zhou, Yuxu Gao, Chun Yang

Get full text

Decoding On-Field Roles in Football: A Sociological Analysis Using Intelligent MCDM Algorithm With Fuzzy Information for Player Positioning and Technical-Tactical Behavior by Lu Yan, Nannan Wang, Rui Chen

Get full text

Measurement of intelligent computing via Levenberg Marquardt algorithm (LMA) for accurate prediction of fluid forces in a transient non-Newtonian thermal flow by Atif Asghar, Rashid Mahmood, Afraz Hussain Majeed, Ahmed S. Hendy, Mohamed R. Ali

Get full text

Feasibility study of “double-low” scanning protocol combined with artificial intelligence iterative reconstruction algorithm for abdominal computed tomography enhancement in patien... by Mei-Tong Ji, Ren-Ren Wang, Qi Wang, Han-Shuo Li, Yong-Xia Zhao

“…Abstract Objective To evaluate the efficacy of the “double-low” scanning protocol combined with the artificial intelligence iterative reconstruction (AIIR) algorithm for abdominal computed tomography (CT) enhancement in obese patients and to identify the optimal AIIR algorithm level. …”
Get full text

Object detection algorithm in a navigation system for a rescue drone by Nataliia Stelmakh, Yurii Yukhymenko, Ilya Rudkovskiy, Anton Lavrinenkov

Get full text

Applications of artificial intelligence in thoracic imaging: a review by Arjun Kalyanpur, Neetika Mathur

“… Artificial intelligence (AI) is transforming the field of radiology. …”
Get full text

Conjecture Interaction Optimization Model for Intelligent Transportation Systems in Smart Cities Using Reciprocated Multi-Instance Learning for Road Traffic Management by Abdullah Faiz Al Asmari, Ahmed Almutairi, Fayez Alanazi, Tariq Alqubaysi, Ammar Armghan

“…The routing and traffic avoidance decisions are pursued using reciprocated multi-instance convergence learning (RMICL). RMICL algorithm optimizes real-time vehicle communication to analyze the vehicles’ active and discarded interactions for minimum delay and route refinement. …”
Get full text

Trust based secure routing algorithm for wireless sensor networks by WANG Chao, JIA Xiang-yu, LIN Qiang

“…In order to deal with the safety hidden trouble caused by that the nodes in wireless sensor networks were lack of fixed infrastructure and it was hard to check the malicious behavior of the nodes, so the conception of nodes’ trust was proposed combined with swarm intelligence optimization algorithm. It introduced nodes’ trust as a allocation strategy of pheromone, which was similar to a reliable and secure label of MPLS, so as to set up the reliable and secure route, re- move the malicious nodes from the network, and provide reliable and secure wireless sensor network environment. …”
Get full text

Integrating holographic counterparts for intelligent IoT consumer devices by M. Rajesh, M. Usha, Sathishkumar Veerappampalayam Easwaramoorthy

“…Advancements in quantum algorithms for predictive learning, self-optimization through more integrated machine learning models, and the development of standardised interoperability protocols to facilitate wider industrial usage are all areas that will be investigated in future research.…”
Get full text

Artificial Intelligence‐Based Approaches for AAV Vector Engineering by Fangzhi Tan, Yue Dong, Jieyu Qi, Wenwu Yu, Renjie Chai

“…The advancement of artificial intelligence (AI), particularly machine learning, offers significant potential to accelerate capsid optimization while reducing development time and manufacturing costs. …”
Get full text

Overview of Startups Developing Artificial Intelligence for the Energy Sector by Naiyer Mohammadi Lanbaran, Darius Naujokaitis, Gediminas Kairaitis, Gabrielė Jenciūtė, Neringa Radziukynienė

“…The energy industry is experiencing a major change due to fast progress in artificial intelligence (AI). Startup companies in this revolution use AI technologies like Machine Learning (ML), predictive analytics, and optimization algorithms to improve energy efficiency, optimize grid management, and incorporate renewable energy sources. …”
Get full text