From predictive analytics to emotional recognition–The evolving landscape of cognitive computing in animal welfare by Suresh Neethirajan

“…The significance of acoustic vocalization analysis in interpreting complex communicative signals and emotional subtleties is highlighted. …”
Get full text

Can a Simple Static-Equivalent Model Be Used to Predict Major Trends in the Dynamic Structural Response of Monopile Offshore Wind Turbines? by Antonio J. Romero-Monzón, Carlos Romero-Sánchez, Guillermo M. Álamo, Luis A. Padrón

“…For this purpose, the results of two numerical models of different levels of complexity are compared: the advanced time-domain multi-physics tool OpenFAST and a simplified static-equivalent model based on beam elements and concentrated masses. …”
Get full text

Investigation of the pathogenic potential and the possibility of cross-species transmission of H5 avian influenza viruses detected on the territory of the Russian Federation in 201... by Nikolay G. Zinyakov, Alena D. Grekhneva, Artem V. Andriyasov, Evgeniya V. Ovchinnikova, Nelli A. Guseva, Anton A. Kozlov, Zoya B. Nikonova, Pavel D. Zhestkov, Dmitry B. Andreychuk, Ilya A. Chvala

“…We utilized original complete genome sequencing data alongside with nucleotide sequences of H5 AIV isolates and strains available in public databases. Results. Analysis revealed a predominance of viruses with replication complexes adapted to avian cells. …”
Get full text

Applications of Gas Chromatography and Gas Chromatography-Mass Spectrometry for the Determination of Illegal Drugs Used in Drink Spiking by Hesham Kisher, Oliver Gould, Kevin C. Honeychurch

“…The paper also addresses the challenges of analyzing complex beverage matrices and the need for continuous improvement in detection techniques to keep pace with the evolving drug market. …”
Get full text

Multi-Aspect Probability Model of Expected Profit Subject to Uncertainty for Managerial Decision-Making in Local Transport Problems by Martin Holubčík, Lukáš Falát, Jakub Soviar, Juraj Dubovec

“…The analysis demonstrated the models’ utility for multi-criteria decision-making in transportation problems, highlighting their ability to capture the complex interplay of economic and societal factors. …”
Get full text

Fast blind detection of short-wave frequency hopping signal based on MeanShift by Zhengyu ZHU, Yu LIN, Zixuan WANG, Kexian GONG, Pengfei CHEN, Zhongyong WANG, Jing LIANG

“…In the complex short-wave channel environment, combined with time-frequency analysis technology, a fast blind detection algorithm of the connected domain labeled frequency hopping signals based on MeanShift algorithm was proposed to reduce the influence of various interference signals and noises on frequency hopping signals and realize blind detection of frequency hopping signals under low signal-to-noise ratio.Firstly, the channel environment gray-scale time-frequency map was filtered by the secondary gray-scale morphology to obtain the binary time-frequency map.Secondly, the maximum duration of the signal was calculated by the connected domain labeling algorithm.Then, the MeanShift algorithm was used to cluster the maximum duration of the signal.Finally, the clustering result was made a second judgment by combining with the adaptive double threshold.The simulation results show that the proposed algorithm can quickly separate various interference signals and sharp noise under low signal-to-noise ratio, and realize fast blind detection of frequency hopping signals without any prior information.It has high detection probability, strong anti-interference ability in short-wave channel environment, low computational complexity and high engineering practical value.…”
Get full text

Estimating the seasonal performance and electricity consumption of retrofitted heat pumps by Daniel René Bayer, Marco Pruckner

“…Estimating this consumption relies on the seasonal performance factor (SPF) of heat pumps, a metric that is complex to model and hard to measure accurately. We propose using an unpaired dataset of smart meter data at the building level to model the heat consumption and the SPF. …”
Get full text

Detection of 2,4,6-Trichloroanisole in Sparkling Wines Using a Portable E-Nose and Chemometric Tools by Ramiro Sánchez, Jesús Lozano, Patricia Arroyo, Félix Meléndez

“…An innovative method is proposed using an electronic nose (e-nose) prototype, offering objective, non-destructive, and cost-effective analysis. The e-nose’s ability to detect TCA at various concentrations was evaluated in sparkling wines from different batches and a spiked wine sample. …”
Get full text

Large Pretrained Foundation Model for Key Performance Indicator Multivariate Time Series Anomaly Detection by Xu Wang, Qisheng Xu, Kele Xu, Ting Yu, Bo Ding, Dawei Feng, Yong Dou

“…Yet, the development of effective deep learning models is hindered by several challenges: scarce and complex labeled data, noise interference from data handling, the necessity to capture temporal dependencies in time series KPI data, and the complexity of multivariate data analysis. …”
Get full text

Evaluation of Automated Object-Detection Algorithms for Koala Detection in Infrared Aerial Imagery by Laith A. H. Al-Shimaysawee, Anthony Finn, Delene Weber, Morgan F. Schebella, Russell S. A. Brinkworth

“…Koalas are also small and often partially or fully occluded by canopy, tree stems, or branches, or the background is highly complex. Biologically inspired vision systems are known for their superior ability in suppressing clutter and enhancing the contrast of dim objects of interest against their surroundings. …”
Get full text

Change in Fractional Vegetation Cover and Its Prediction during the Growing Season Based on Machine Learning in Southwest China by Xiehui Li, Yuting Liu, Lei Wang

Get full text

Design of Morlet wavelet neural networks integrated with sequential quadratic programming to analyze the dynamics of Ebola virus disease by Asifa Ashraf, Abaid Ur Rehman Virk, Umar Ishtiaq, Ahmed Samy Mohamed Elwahsh, Ioan-Lucian Popa

Get full text

An interpretable stacking ensemble model for high-entropy alloy mechanical property prediction by Songpeng Zhao, Zeyuan Li, Changshuai Yin, Zhaofu Zhang, Teng Long, Jingjing Yang, Ruyue Cao, Yuzheng Guo

Get full text

Development of the Programme of Applied Research as a Tool for the Formation of Research Competency of Future Political Scientists (on the Example of the Theme “Spatial Development... by O. V. Bakhlova, I. V. Bakhlov, I. G. Napalkova, A. S. Soldatova

“…The programme can be used as a basis for long-term analysis and as a template for other thematic studies. …”
Get full text

Bayesian Random Forest with Multiple Imputation by Chain Equations for High-Dimensional Missing Data: A Simulation Study by Oyebayo Ridwan Olaniran, Ali Rashash R. Alzahrani

Get full text

Interpretable Deep Learning Models for Arrhythmia Classification Based on ECG Signals Using PTB-X Dataset by Ahmed E. Mansour Atwa, El-Sayed Atlam, Ali Ahmed, Mohamed Ahmed Atwa, Elsaid Md. Abdelrahim, Ali I. Siam

“…Deep learning (DL) methods are effective in ECG analysis due to their ability to learn complex patterns from raw signals. …”
Get full text

Spectral feature modeling with graph signal processing for brain connectivity in autism spectrum disorder by Ayesha Jabbar, Huang Jianjun, Muhammad Kashif Jabbar, Khalil ur Rehman, Anas Bilal

“…Abstract Autism spectrum disorder (ASD) is a complex neurodevelopmental condition associated with disrupted brain connectivity. …”
Get full text

Investigating the Capabilities of Ensemble Machine Learning Model in Identifying Near-Fault Pulse-Like Ground Motions by Jafar Al Thawabteh, Jamal Al Adwan, Yazan Alzubi, Ahmad Al-Elwan

“…In recent years, the detection and analysis of near-fault pulse-like ground motions have become increasingly crucial due to their potential to cause significant structural damage during seismic events. …”
Get full text

Machine Learning-Based Multi-Objective Optimization for Enhancing the Performance of Block Support Structures for Electron Beam Additive Manufacturing by Mustafa M. Nasr, Wadea Ameen, Abdulmajeed Dabwan, Abdulrahman Al-Ahmari

“…Electron beam melting (EBM) technology has gained prominence owing to its ability to enhance production efficiency and meet green manufacturing standards. …”
Get full text

The use of big data on the labor market in HR business processes of organizations in the Republic of Belarus by Alena V. Vankevich, Iryna N. Kalinouskaya

“…Using a large language model called Claude, their comparison was carried out, unique and end-to-end skills were highlighted, and the ability to visualize the analysis results in the form of graphs and diagrams was developed, taking into account the interests of various user groups. …”
Get full text