QoS Routing in Telecommunications Networks by N. I. Listopad, O. A. Lavshuk

“…The existing routing algorithms have been developed quite fully and, on the whole, function effectively if the optimization of the route selection is carried out according to one parameter. …”
Get full text

Steganoanalytical Method Based on the Analysis of Singular Values of Digital Image Matrix Blocks by Kobozeva A.A., Bobok I.I., Batiene L.Е.

“…The rapid development of digital steganography over the past decade involving numerous scien-tific publications in the open press, devoted to the new steganomethods and algorithms, have led to the possibility of wide use of the results obtained. …”
Get full text

Plastic Litter Detection in the Environment Using Hyperspectral Aerial Remote Sensing and Machine Learning by Marco Balsi, Monica Moroni, Soufyane Bouchelaghem

“…Data were preprocessed to simply equalize the spectra across the whole band and across different environmental conditions, and machine learning techniques were applied to detect plastics even in real-time. …”
Get full text

Detecting Textual Propaganda Using Machine Learning Techniques by Akib Mohi Ud Din Khanday, Qamar Rayees Khan, Syed Tanzeel Rabani

“…Social Networking has dominated the whole world by providing a platform of information dissemination. …”
Get full text

Robust Model-Free Identification of the Causal Networks Underlying Complex Nonlinear Systems by Guanxue Yang, Shimin Lei, Guanxiao Yang

“…Due to the complexity of system modeling, the way in which universal and feasible inference algorithms are studied is a key challenge for network reconstruction. …”
Get full text

NEXT-GENERATION SEQUENCING IN CANCER: GENETIC DIAGNOSIS, RISK PREDICTION AND CLASSIFICATION by Özkan Özdemir

“…Today, the use of whole-genome sequencing is increasing; open-source databases are developing. …”
Get full text

The cost of solving linear differential equations on a quantum computer: fast-forwarding to explicit resource counts by David Jennings, Matteo Lostaglio, Robert B. Lowrie, Sam Pallister, Andrew T. Sornborger

“…There is increasing effort in developing quantum algorithms to efficiently simulate dynamics beyond Hamiltonian simulation, but so far exact resource estimates are not known. …”
Get full text

DIGITAL TWINS AND THEIR APPLIANCE IN TRANSPORT ECONOMICS by O. N. Rimskaya, I. V. Anokhov

“…The consequence of this is the emergence of digital twins that allow modeling and predicting the behavior of both individual processes and enterprises as a whole.The aim of the article is to investigate the process of digitalization in the transport industry. …”
Get full text

Adoption of the Creative Process According to the Immersive Method by Sonja Vuk, Tonka Tacol, Janez Vogrinc

“…This occurs with the mediation of an algorithmic scheme that enables students to adopt ways to solve problems, to express thoughts and emotions, to develop ideas and to transfer these ideas to form, medium and material. …”
Get full text

Current Approaches for Image Fusion of Histological Data with Computed Tomography and Magnetic Resonance Imaging by Philipp Nolte, Christian Dullin, Angelika Svetlove, Marcel Brettmacher, Christoph Rußmann, Arndt F. Schilling, Frauke Alves, Bernd Stock

“…Despite high specificity, encoded in the stained 2D section of the whole tissue, the structural information, especially 3D information, is limited. …”
Get full text

The Application of the Gestalt Theory in Music Psychotherapy for Piano by Fukun Cai

“…The paper focuses on how to apply the “whole and part” and “epiphany” perspectives of the Gestalt learning theory to singing and music appreciation lessons. …”
Get full text

A novel hybrid vision UNet architecture for brain tumor segmentation and classification by M. Renugadevi, K. Narasimhan, K. Ramkumar, N. Raju

“…In HVU-E, same features fed as input to the classification layer and machine learning algorithms such as SVM, RF, DT, Logistic Regression and AdaBoost. …”
Get full text

The Fusion of Multi-Focus Images Based on the Complex Shearlet Features-Motivated Generative Adversarial Network by Lei Wang, ZhouQi Liu, Jin Huang, Cong Liu, LongBo Zhang, ChunXiang Liu

“…With of help of the generative adversarial network, the whole procedure of multi-focus fusion is modeled to be the process of adversarial learning. …”
Get full text

Artificial Intelligence and Breast Cancer Management: From Data to the Clinic by Kaixiang Feng, Zongbi Yi, Binghe Xu

“…Furthermore, this article emphasizes the significance of constructing patient‐oriented AI algorithms. Additionally, we explore the opportunities and potential research directions within this burgeoning field.…”
Get full text

Blockchain-enabled efficient distributed attribute-based access control framework with privacy-preserving in IoV by Ye Zhang, Leyou Zhang, Qing Wu, Yi Mu

“…Numeral experiments to show the proposed scheme has many advantages of over others such as the storage cost, the whole time consume of the proposed algorithms and the proxy computation cost.…”
Get full text

Breaks in the Arctic ice cover: from observations to predictions by A. A. Ershova, L. N. Dyment, T. A. Alekseeva

“…Breaks (ruptures) and cracks is the distinguishing feature of any ice cover in the Arctic seas during the cold season and in the whole Arctic Basin throughout a year. The formation of them is a consequence of macro-deformation of the ice thickness. …”
Get full text

SatBałtyk - A Baltic environmental satellite remote sensing system - an ongoing project in Poland. Part 1: Assumptions, scope and operating range by Bogdan Woźniak, Katarzyna Bradtke, Mirosław Darecki, Jerzy Dera, Joanna Dudzińska-Nowak, Lidia Dzierzbicka-Głowacka, Dariusz Ficek, Kazimierz Furmańczyk, Marek Kowalewski, Adam Krężel, Roman Majchrowski, Mirosława Ostrowska, Marcin Paszkuta, Joanna Stoń-Egiert, Małgorzata Stramska, Tomasz Zapadka

“…The maps cover practically the whole area of the Baltic Sea. Also given are results of preliminary inspections of the accuracy of the magnitudes shown on the maps. …”
Get full text

Kidney Diseases Classification using Hybrid Transfer-Learning DenseNet201-Based and Random Forest Classifier by Abdalbasit Mohammed Qadir, Dana Faiq Abd

“…In this study, a hybrid technique is used by utilizing both pre-train models for feature extraction and classification using machine learning algorithms for the task of kidney disease image diagnosis. …”
Get full text

Progress on the application of supercomputer brain simulation technology by SUN Zhe

“…With advanced HPC resources, researchers can simulate neural activities from ion⁃channel dynamics to whole⁃brain network interactions, thereby illuminating the mechanisms underlying cognition, neural disorders, and emerging neuromorphic intelligence. …”
Get full text

A willingness-aware user recruitment strategy based on the task attributes in mobile crowdsensing by Yang Liu, Yong Li, Wei Cheng, Weiguang Wang, Junhua Yang

“…Simulation results show that the willingness-aware user recruitment approach can significantly improve the task completion rate and achieve higher task coverage quality compared with other algorithms.…”
Get full text