A Review of Reinforcement Learning for Fixed-Wing Aircraft Control Tasks by David J. Richter, Ricardo A. Calix, Kyungbaek Kim

“…A lot of that can be attributed to the recent advancements in machine learning (ML) and deep learning (DL) as a whole, the power of deep neural networks and the incorporation of them into reinforcement learning algorithms and techniques. …”
Get full text

Hemorheological system in coronary heart disease patients: prognostic value by L. I. Malinova, P. Yu. Dovgalevsky

“…Various CHD therapy algorithms, depending on hemorheological parameters and ACE risk, were developed.…”
Get full text

Similar Instances Reuse Based Numerical Control Process Decision Method for Prismatic Parts by Changhong XU, Shusheng ZHANG, Jiachen LIANG, Rui HUANG, Rong BIAN

“…In addition, the existing NC process decision methods, such as the genetic algorithm, ant colony algorithm, and particle swarm algorithm, have not been combined with the reuse approach. …”
Get full text

Identification of PET/CT radiomic signature for classification of locally recurrent rectal cancer: A network-based feature selection approach by Sara Dalmonte, Maria Adriana Cocozza, Dajana Cuicchi, Daniel Remondini, Lorenzo Faggioni, Paolo Castellucci, Andrea Farolfi, Emilia Fortunati, Alberta Cappelli, Riccardo Biondi, Arrigo Cattabriga, Gilberto Poggioli, Stefano Fanti, Gastone Castellani, Francesca Coppola, Nico Curti

“…Feature selection was performed using a novel approach derived from gene expression analysis, based on the DNetPRO algorithm. The prediction was done using a Support Vector Classifier (SVC) with a 10-fold cross-validation. …”
Get full text

3D behavior phenotyping and multi-object tracking system of mice based on deep learning by Lei He, Xuezhen Jia, Chen Li, Yan Liu, Jicheng Yu, Zhen-Xia Chen, Wanneng Yang, Xiuying Liang

“…In this study, YOLOv7 was used to detect mice and 3D Kalman Filter, Hungarian algorithm, and improved matching algorithm were used to track mouse identity. …”
Get full text

A global comparison of social media bot and human characteristics by Lynnette Hui Xian Ng, Kathleen M. Carley

“…., increased hashtags, and positive terms) while humans use cues that require dialogue understanding (e.g. replying to post threads). …”
Get full text

Optimization of agricultural planting structure in major grain-producing areas based on supply and demand and water resources: A case study of Hebei Province by Wenxue Xia, Jiankang Dong, Bing Zhang, Jingyan Han

“…In the scenario 2, the planting areas for vegetables and fruits increased while the grain planting area decreased by 10.91 %. …”
Get full text

A Blockchain-Based Architecture of Web3.0: A Comprehensive Decentralized Model With Relay Nodes, Unique IDs and P2P by Hyunjoo Yang, Sejin Park

“…The proposed model integrates a blockchain-based unique ID management system for secure node identification and employs a multistep TPM-based verification algorithm to validate node authenticity in real time. …”
Get full text

Impact of image reconstruction on cerebral blood flow measured with 15O-water positron emission tomography by Elin Bäck, My Jonasson, Elin Lindström, Andreas Tolf, Joachim Burman, Lieuwe Appel, Mark Lubberink

“…CBF was estimated for the whole brain, grey matter, and central white matter. …”
Get full text

An early warning system based on machine learning detects huge forest loss in Ukraine during the war by Roberto Cazzolla Gatti, Rocìo Beatriz Cortès Lobos, Michele Torresani, Duccio Rocchini

“…We employed Random Forest, a supervised machine learning classification algorithm, in conjunction with high-quality satellite imagery, to quantify the forest loss in Ukraine during the war, between 2022 and 2023. …”
Get full text

Early-life management practices and their association with dairy herd longevity, productivity, and profitability by Gabriel M. Dallago, Daniel Warner, Elsa Vasseur

“…Cluster stability assessment was used to determine the best clustering algorithm and number of clusters. Associations between herd longevity, productivity, profitability, and early-life management practices were assessed using multivariate linear regression models. …”
Get full text

Digital mapping of peat thickness and extent in Finland using remote sensing and machine learning by Jonne Pohjankukka, Timo A. Räsänen, Timo P. Pitkänen, Arttu Kivimäki, Ville Mäkinen, Tapio Väänänen, Jouni Lerssi, Aura Salmivaara, Maarit Middleton

“…In this study, we present a workflow for producing peat occurrence maps for the whole of Finland. For this, we used random forest classification to map areas with peat thicknesses of ≥ 10 cm, ≥30 cm, ≥40 cm, and > 60 cm. …”
Get full text

The Use of Economic and Mathematical Modeling in Assessing the Competitiveness of Tourism Industry Enterprises by S. N. Medvedeva, V. P. Pavlyuk

“…The implementation of such a system is directly related to the analysis and assessment of the whole variety of conditions and factors for the functioning of the subjects of the tourism industry.…”
Get full text

Hybrid Model for 6G Network Traffic Prediction and Wireless Resource Optimization by Mohammed Anis Oukebdane, A. F. M. Shahen Shah, Md Baharul Islam, John Ekoru, Milka Madahana

“…Large-scale 6G traffic data with varied channel conditions and user scenarios was used to validate the model. An algorithm is presented to describe the training process of the proposed hybrid model. …”
Get full text

Development and validation of an ensemble learning risk model for sepsis after abdominal surgery by Xin Shu, Yujie Li, Yiziting Zhu, Zhiyong Yang, Xiang Liu, Xiaoyan Hu, Chunyong Yang, Lei Zhao, Tao Zhu, Yuwen Chen, Bin Yi

“…Routine clinical variables were implemented for model development. The Boruta algorithm was applied for feature selection. Afterwards, ensemble learning and eight other conventional algorithms were used for model fitting and validation based on all features and selected features. …”
Get full text

A formal notation of legal rules applicable in the local space by Anna M. Barańska, Konrad Eckes

“…Following these assumptions, the general form of the behavioural test algorithm was formulated. The presented issues demonstrate complex relationships to space and its integrating rule in relation to legal rules. …”
Get full text

Rapid test for the qualitative simultaneous determination of cardiac fatty acid-binding protein and cardiac troponin I in the diagnosis of acute coronary syndrome by V. A. Kokorin, I. G. Gordeev, M. N. Arefyev, A. Ya. Goncharova, A. A. Yakovtsova

“…Further studies will clarify the place of this technique in the modern algorithm for the management of patients with ACS and evaluate the possibility of using the rapid test in predicting the course of the disease.…”
Get full text

Identification of key genes as diagnostic biomarkers for IBD using bioinformatics and machine learning by Tianhao Li, Haoren Jing, Xinyu Gao, Te Zhang, Haitao Yao, Xipeng Zhang, Mingqing Zhang

“…Immune cell abundance quantification and statistical correlation analyses with IBD-associated transcripts were conducted via the CIBERSORTx deconvolution algorithm. To complement these findings, blood expression quantitative trait loci (eQTL) data from GTExv8.ALL.Whole_Blood were integrated with IBD genome-wide association statistics from the FinnGen consortium. …”
Get full text

Identification of 17 novel epigenetic biomarkers associated with anxiety disorders using differential methylation analysis followed by machine learning-based validation by Yoonsung Kwon, Asta Blazyte, Yeonsu Jeon, Yeo Jin Kim, Kyungwhan An, Sungwon Jeon, Hyojung Ryu, Dong-Hyun Shin, Jihye Ahn, Hyojin Um, Younghui Kang, Hyebin Bak, Byoung-Chul Kim, Semin Lee, Hyung-Tae Jung, Eun-Seok Shin, Jong Bhak

“…Methods A comparative differential methylation analysis was performed on whole blood samples from 94 anxiety disorder patients and 296 control samples using targeted bisulfite sequencing. …”
Get full text

Space-time spectrum sharing based on game theory:dynamic access and penalty strategy by Yangyang NIU, Zhiqing WEI, Zhiyong FENG

“…To tackle the challenge of inefficient utilization of spatiotemporal spectrum resources in heterogeneous networks, a reliable spectrum sharing strategy based on game theory was proposed for scenarios where multiple secondary users dynamically access through sensing spatiotemporal spectrum opportunities.Firstly, secondary users sensed the activity state of primary users through channel sampling and subsequently seek suitable spatiotemporal spectrum opportunities.Each secondary user aimed to access more spectrum resources while preventing quality degradation between primary users.Consequently, a negotiation of individual utilities between secondary and primary users was needed, in order to reach a mixed Nash equilibrium.When the secondary user's transmission power was abnormal, its behavior would be regarded as a violation.Then, a backoff time compensation algorithm was presented to penalize the secondary users, according to the number of violations and active nodes in the network.Finally, simulation results validate the effectiveness of the spatiotemporal spectrum opportunities sharing strategy with the penalty mechanism.…”
Get full text