A decoding scheme for the 4-ary lexicodes with D=3 by D. G. Kim, H. K. Kim

“…We introduce the algorithms for basis and decoding of quaternary lexicographic codes with minimum distance d=3 for an arbitrary length n.…”
Get full text

A multi-faceted review of wind turbine optimization techniques: Metaheuristics and related issues by Hegazy Rezk, Abdul Ghani Olabi, Tabbi Wilberforce, Enas Taha Sayed

“…This article comprehensively reviews the current optimization state for wind energy systems and examines the use of metaheuristic optimization algorithms. Metaheuristic optimization algorithms combine fundamental heuristic concepts with approximation approaches to effectively explore and utilize research space. …”
Get full text

3GPP-Compliant Datasets for xG Location-Aware Networks by Andrea Conti, Gianluca Torsoli, Carlos A. Gomez-Vega, Alessandro Vaccari, Gianluca Mazzini, Moe Z. Win

“…This calls for new localization algorithms as well as for 3GPP-standardized scenarios to support their systematic development and testing. …”
Get full text

Location Prediction on Trajectory Data: A Review by Ruizhi Wu, Guangchun Luo, Junming Shao, Ling Tian, Chengzong Peng

“…We also discuss and analyze the advantages and disadvantages of these algorithms and briefly summarize current applications of location prediction in diverse fields. …”
Get full text

Inverse Tone Mapping Based upon Retina Response by Yongqing Huo, Fan Yang, Vincent Brost

“…Comparisons with three recent algorithms in the literature also show that the proposed method reveals more important image details and produces less contrast loss and distortion.…”
Get full text

Generalized set-valued variational-like inclusions and Wiener-Hopf equations in Banach spaces by Yali Zhao, Zunquan Xia, Zeqing Liu

“…We propose two new iterative algorithms for the class of generalized set-valued variational-like inclusions. …”
Get full text

Composition of Web Services Using Markov Decision Processes and Dynamic Programming by Víctor Uc-Cetina, Francisco Moo-Mena, Rafael Hernandez-Ucan

“…Iterative policy evaluation, value iteration, and policy iteration algorithms are used to experimentally validate our approach, with artificial and real data. …”
Get full text

Data-Driven Technology in Event-Based Vision by Ruolin Sun, Dianxi Shi, Yongjun Zhang, Ruihao Li, Ruoxiang Li

“…Then, we explain why event-based data-driven technology becomes a research focus, including reasons for the rise of event-based vision and the superiority of data-driven approaches over other event-based algorithms. Current status and future trends of event-based data-driven technology are presented successively in terms of hardware, datasets, and algorithms, providing guidance for future research. …”
Get full text

Self-Administered Information Sharing Framework Using Bioinspired Mechanisms by Huibo Bi, Yanyan Chen, Wen-Long Shang, Chengcheng Song, Wenbo Huang

“…The simulation results show that the introduction of the bioinspired algorithms can improve the efficiency of information sharing and reduce the energy consumption.…”
Get full text

AI Machine Learning–Based Diabetes Prediction in Older Adults in South Korea: Cross-Sectional Analysis by Hocheol Lee, Myung-Bae Park, Young-Joo Won

“… Abstract BackgroundDiabetes is prevalent in older adults, and machine learning algorithms could help predict diabetes in this population. …”
Get full text

Application of Google Earth Engine to Monitor Greenhouse Gases: A Review by Damar David Wilson, Gebrekidan Worku Tefera, Ram L. Ray

“…It incorporates machine learning (ML) techniques and algorithms as part of its tools for analyzing and processing large geospatial data. …”
Get full text

Improving The Performance of Big Data Databases by Nzar Abdulqadir Ali, Dashne Raouf Arif

“…In SQL (Structured Query Language) databases different algorithms are used for inserting and updating data, such as indexing, bulk insert and multiple updating. …”
Get full text

Efficient Handling of Data Imbalance in Health Insurance Fraud Detection Using Meta-Reinforcement Learning by Supriya Seshagiri, K. V. Prema

“…By using task distribution and reward shaping, our experiments on Meta-RL algorithms, RL², and VariBAD achieve superior sample efficiency and adaptability for varying degrees of imbalance. …”
Get full text

A Machine Learning Method to improve Supplier Delivery Appointments in Supply Chain Industries by Anitha Palakshappa, Sumana Maradithaya, Charunayana V

“…The objective of this study is to investigate whether the machine learning algorithms can be used to predict the delivery dates of the products based on the trained data. …”
Get full text

Performance characteristics of the fork-join queuing system by V. I. Klimenok

“…It is required to build the process of the system functioning, to find the condition for the existence of a stationary distribution, and propose algorithms for calculating the stationary distribution and the main stationary performance characteristics. …”
Get full text

Prediction of traditional Chinese medicine for diabetes based on the multi-source ensemble method by Bin Yang, Qingyun Chi, Xiang Li, Jinglong Wang

“…The frequencies of occurrences of medicinal herbs corresponding to these three algorithms are obtained, each containing an active ingredient list. …”
Get full text

Comparative analysis of transfer learning performance on generalised EEG data for use in a depression diagnosis task by Shusharina, Natalia Nikolaevna

“…In order to test the quality of contrastive learning, the dataset was augmented and the following algorithms were selected as the donor network: SimCLR, MoCo, NNCLR, BarlowTwins, DINO. …”
Get full text

Hybrid quantum neural networks show strongly reduced need for free parameters in entity matching by Lukas Bischof, Stefan Teodoropol, Rudolf M. Füchslin, Kurt Stockinger

“…In this paper, we evaluate quantum machine learning algorithms for entity matching on a hand-crafted data set and compare them to similar classical algorithms. …”
Get full text

CPP: a path planning method taking into account obstacle shadow hiding by Ruixin Zhang, Qing Xu, Youneng Su, Ruoxu Chen, Kai Sun, Fengchang Li, Guo Zhang

“…Abstract Path planning algorithms are crucial for the autonomous navigation and task execution of unmanned vehicles in battlefield environments. …”
Get full text

Enhancing Cybersecurity and Privacy Protection for Cloud Computing-Assisted Vehicular Network of Autonomous Electric Vehicles: Applications of Machine Learning by Tiansheng Yang, Ruikai Sun, Rajkumar Singh Rathore, Imran Baig

“…The performance of different ML algorithms in the literature is also collated and compared. …”
Get full text