Rapid and accurate multi-phenotype imputation for millions of individuals by Lin-Lin Gu, Hong-Shan Wu, Tian-Yi Liu, Yong-Jie Zhang, Jing-Cheng He, Xiao-Lei Liu, Zhi-Yong Wang, Guo-Bo Chen, Dan Jiang, Ming Fang

“…In the present study, we have developed a multi-phenotype imputation method based on mixed fast random forest (PIXANT) by leveraging efficient machine learning (ML)-based algorithms. We demonstrate by extensive simulations that PIXANT is reliable, robust and highly resource-efficient. …”
Get full text

How does artificial intelligence shape the productivity and quality of research in business studies? A systematic literature review and future research framework by Sugandha Agarwal, Qian Long Kweh, Dima Jamali, Walton Wider, Syed Far Abid Hossain, Muhammad Ashraf Fauzi

“…The findings are categorized into three main areas: the quality and quantity of research output, disciplinary impacts, and ethical issues. …”
Get full text

Parameter Tuning for Local-Search-Based Matheuristic Methods by Guillermo Cabrera-Guerrero, Carolina Lagos, Carolina Castañeda, Franklin Johnson, Fernando Paredes, Enrique Cabrera

“…Algorithms that aim to solve optimisation problems by combining heuristics and mathematical programming have attracted researchers’ attention. …”
Get full text

Status of research on prediction models for severity in confirmed Covid-19 patients by Maicel Eugenio Monzón-Pérez, Lizet Sánchez-Valdés, Elizabeth Rieche-Gómez, Agustín Lage-Dávila

“…The systematic review published by Wynants et al. was the publication with the greatest impact and an important source for the identification of models, main components, as well as possible causes of bias. …”
Get full text

Investigating Performance of an Embedded Machine Learning Solution for Classifying Postural Behaviors by Bruno Andò, Salvatore Baglio, Mattia Manenti, Valeria Finocchiaro, Vincenzo Marletta, Sreeraman Rajan, Ebrahim Ali Nehary, Valeria Dibilio, Mario Zappia, Giovanni Mostile

“…Postural instability is one of the main critical aspects to be monitored in the case of degenerative diseases, and is also a predictor of potential falls. …”
Get full text

Design of Onboard Real-Time Networks Based on SDN Technology by Vasily V. Balashov, Valery A. Kostenko, Tatiana I. Ermakova

“…An important direction for future work is development of algorithms for dynamic creation of virtual link routes in course of OEC reconfiguration. …”
Get full text

Integrated production-distribution planning optimization models: A review in collaborative networks context by Beatriz Andres, Raquel Sanchis, Jaques Lamothe, Leila Saari, Frederic Hauser

“…In this regard, new optimisation algorithms are required in order to improve the collaboration within the supply network partners. …”
Get full text

ON THE QUESTION OF MASS-ENERGY CHARACTERISTICS OF VARIOUS AVIATION SOURCES OF ELECTRICITY by A. V. Kechin

“…The main work done abroad and on the territory of the Russian Federation aimed at solving this problem are analyzed. …”
Get full text

Multi-Objective Optimization of Independent Automotive Suspension by AI and Quantum Approaches: A Systematic Review by Muhammad Waqas Arshad, Stefano Lodi, David Q. Liu

“…The optimization of independent automotive suspension systems, which is one of the main pillars of the vehicle performance and comfort, is currently going through a revolutionary change due to the development of artificial intelligence and quantum computing. …”
Get full text

Scientific Workflow-Based Synthesis of Optimal Microgrid Configurations by Olga Edeleva, Alexei Edelev, Mikhail Voskoboinikov, Alexander Feoktistov

“…They provide a higher level of energy supply compared to the main grids and enhance their reliability and resilience. …”
Get full text

Developing a Predictive Model for Stroke Disease Detection Using a Scalable Machine Learning Approach by Assefa Senbato Genale, Tsion Ayalew Dessalegn

“…It was also shown that the main risk factor for stroke disease is diabetes, which is followed by hypertension. …”
Get full text

On First-Principle Robot Building in Undergraduate Robotics Education in the Robotic System Levels Model by Bryan Van Scoy, Peter Jamieson, Veena Chidurala

“…However, robotics is inherently multi-disciplinary and requires knowledge of controls and automation, embedded systems, sensors, signal processing, algorithms, and artificial intelligence. This makes training the future robotics workforce a challenge. …”
Get full text

Influence of wearable biometric sensors on performance indicators of volleyball players by Guoqing Jia

“…Two classification algorithms—K Nearest Neighbour (KNN) and Linear Discriminant Analysis (LDA)—are combined with two separate cross-valuation methods. …”
Get full text

Diagnostic efficacy of serological and epigenetic methods of screening diagnostics of colorectal cancer by O. I. Kit, D. V. Burtsev, A. Yu. Maksimov

“…Development of adequate screening and diagnostic algorithms on colorectal cancer detection.Material and methods. …”
Get full text

Review on the Application of Remote Sensing Data and Machine Learning to the Estimation of Anthropogenic Heat Emissions by Lingyun Feng, Danyang Ma, Min Xie, Mengzhu Xi

“…This paper reviews the main approaches for estimating anthropogenic heat emissions. …”
Get full text

A hybrid extraction model for semantic knowledge discovery of water conservancy big data by Yanna Feng, Feng Zhang, Yongheng Zhang, Jiangang Dong, PengJu Wang

“…To address the growing demand for efficient public opinion analysis in water conservancy and related domains, as well as the inefficiencies and limited scalability of existing automated web data extraction algorithms for multi-source datasets, this research integrates advanced technologies including big data analytics, natural language processing, and deep learning. …”
Get full text

Syllable-, Bigram-, and Morphology-Driven Pseudoword Generation in Greek by Kosmas Kosmidis, Vassiliki Apostolouda, Anthi Revithiadou

“…Traditional approaches modify existing words, risking unintended recognition. Modern algorithmic methods use high-frequency <i>n</i>-grams or syllable deconstruction but often require specialized expertise. …”
Get full text

Virtual Electroencephalogram Acquisition: A Review on Electroencephalogram Generative Methods by Zhishui You, Yuzhu Guo, Xiulei Zhang, Yifan Zhao

“…However, despite the significant strides made, the paucity of EEG data has emerged as the main bottleneck, preventing generalization of decoding algorithms. …”
Get full text

A comparative analysis of fault detection and process diagnosis methods based on a signal processing paradigm by Dorel Aiordăchioaie

“…Seven methods are considered for evaluation: two in the time domain, two in the frequency domain and three in the time–frequency domain. The main problem is to extract and select the right features to use in the classification stage. …”
Get full text

A Literature Review on Security in the Internet of Things: Identifying and Analysing Critical Categories by Hannelore Sebestyen, Daniela Elena Popescu, Rodica Doina Zmaranda

“…From leveraging machine learning and blockchain for anomaly detection and real-time threat response to optimising lightweight algorithms for resource-limited devices, researchers propose innovative and adaptive solutions to address emerging threats. …”
Get full text