Research on machine vision online monitoring system for egg production and quality in cage environment by Zhenlong Wu, Hengyuan Zhang, Cheng Fang

“…Experimental results revealed that the henhouse average network latencies of 35 ms, with signal strengths between -30 and -71 dBm, ensuring data transmission to the poultry management system. …”
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Text-Guided Synthesis in Medical Multimedia Retrieval: A Framework for Enhanced Colonoscopy Image Classification and Segmentation by Ojonugwa Oluwafemi Ejiga Peter, Opeyemi Taiwo Adeniran, Adetokunbo MacGregor John-Otumu, Fahmi Khalifa, Md Mahmudur Rahman

“…., DALL-E 2, Vector-Quantized Generative Adversarial Network (VQ-GAN)) have been used to generate images but not colonoscopy data for intelligent data augmentation. …”
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Ecological Water Level Determination and Safeguard Measures for Rivers in Northern Jiangsu Plain by WANG Zhenqi, FANG Hongyuan, XU Guangdong, ZHU Ye, WANG Chengjie

“…Effective methods of calculating the threshold of river ecological flow (water level) need to be employed to obtain measures of controlling the ecological state of rivers in a plain river network and to build a robust long-term mechanism of ecological flow control.The Zongliutang River in the river network area of Northern Jiangsu Plain is divided into upper,middle,and lower reaches according to its objective environment and its actual operation and management situation.Then,the controlling condition of the ecological water level of each reach is analyzed respectively.Considering the hydrological characteristics,hydrodynamic characteristics,and observed hydrological data conditions of rivers in this river network area,several methods are utilized to calculate the ecological water level threshold of the middle reach of the river respectively.Those methods include the annual minimum water level method with a 90% guarantee rate,the wetted perimeter method,the minimum monthly average water level method,and the lowest survival water depth method.Through the comparative analysis of actual river operation and management schemes,the ecological water level targets of the upper,middle,and lower reaches of the river are comprehensively determined as 17.40 m,8.96 m,and 7.50 m respectively.After the control value of the ecological water level of the river is obtained by comprehensive analysis,the actual operation and management situation of the river is taken into account to propose specific safeguard measures for maintaining the ecological water level (flow) target of the river from multiple perspectives.Some of the measures are constructing a robust and feasible ecological flow control system,accelerating the construction of an information monitoring system of ecological flow and water intake and an early warning system safeguarding the ecological water level target,and strengthening the supervision and assessment of the implementation of river and lake ecological flows (water levels).…”
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Long-term variability of ice regime characteristics in river mouth areas of the western coast of the White Sea on the background of climatic changes by V. N. Baklagin, N. I. Mahalskaya

“…This analysis shows that the temperature background in years 1991–2020 is significantly higher (by 1.4 °C) than the similar one in 1956–1990, and at the same time the average duration of ice phenomena decreased to almost two weeks (shorter by 11 days). …”
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A Comprehensive Regional Approach to Eco-Efficiency in Spanish Agriculture over Time by María Pilar Rodríguez-Fernández, Cristina Hidalgo-González, David Pérez-Neira

“…This has been achieved using data from the Farm Accounting Network and the non-oriented SBM-DEA method with constant returns to scale. …”
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The Modeling and Application of Dynamic Lane Assignment in Urban Areas: A Case Study of Vukovar Street in Zagreb, Croatia by Miroslav Vujić, Luka Dedić, Mijo Majstorović

“…The effectiveness of the DLA approach is evaluated through comparative analysis with traditional static traffic configurations, demonstrating significant improvements in traffic efficiency, reduced travel times, and enhanced network performance. …”
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An improve fraud detection framework via dynamic representations and adaptive frequency response filter by Juncheng Yang, Shuxia Li, Zijun Huang, Junhang Wu

“…However, the complexity and dynamism of interaction networks present formidable challenges. Our data exploration revealed that fraudsters exhibit consistent distinguishability from normal users in specific dynamic behavioral traits. …”
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A method for measuring intraocular pressure using artificial intelligence technology and fixed-force applanation tonometry by D. A. Dorofeev, A. A. Antonov, D. Yu. Vasilenko, A. V. Gorobets, K. A. Efimova, E. V. Kanafin, E. V. Karlova, E. V. Kirilik, I. V. Kozlova, E. R. Orlova, A. Z. Tsyganov

“…The comparison of the diameters of the Maklakov tonometer prints determined by AI based on the neural network with the measurements data provided by three experts showed that neural network underestimates the measurement results by an average of 0.27 (-3.81; 4.35) mm Hg. …”
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Isotope composition of winter precipitation and snow cover in the foothills of the Altai by N. S. Malygina, A. N. Eirikh, N. Yu. Kurepina, T. S. Papina

“…According to the trajectory analysis (the HYSPLIT model), the revealed differences between both, the seasons, and the long-term average values of IsoMAP, were associated with a change of main regions where the air masses carrying precipitation were formed, namely, the North Atlantic (the winter season of 2014/15) and the inland areas with open ice-free water bodies (the season of 2015/16). …”
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Preparation for Entering a Higher Educational Institution as an Investment Project by V. A. Kataeva, V. R. Masalkina, A. A. Ponomareva

“…It also includes the collection and analysis of a statistical set of data and the development of a mechanism for choosing a training method with the available data about the applicant through neural network modeling.Results. …”
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Long-term creep properties of Ni-based 21Cr-18Fe-9Mo superalloys by Kota Sawada, Yasushi Taniuchi, Kaoru Sekido, Takehiro Nojima, Tomotaka Hatakeyama, Kazuhiro Kimura

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Beyond the Scoreboard: A Machine Learning Investigation of Online Games’ Influence on Jordanian University Students’ Grades by Mohammad Alshraideh, Abeer Abdel-Jabbar Abu-Zayed, Martin Leiner, Iyad Muhsen AlDajani

“…The results revealed that the highest accuracy, 96.69%, was achieved at the 70% threshold for predicting students’ grade point average (GPA). The analysis suggested that projecting a decrease in the percentage of hours dedicated to playing online games could act as a mitigating factor to prevent GPA decline. …”
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Gut microbiome identifies risk for colorectal polyps by Ezzat Dadkhah, Masoumeh Sikaroodi, Louis Korman, Robert Hardi, Jeffrey Baybick, David Hanzel, Gregory Kuehn, Thomas Kuehn, Patrick M Gillevet

“…Modelling of the non-invasive home stool samples resulted in a classification accuracy >75% for Naïve Bayes and Neural Network models using informative OTUs. A naïve holdout analysis performed on home stool samples resulted in an average false negative rate of 11.5% for the Naïve Bayes and Neural Network models, which was reduced to 5% when the two models were combined.Conclusion Gut microbiome analysis combined with advanced machine learning represents a promising approach to screen patients for the presence of polyps, with the potential to optimise the use of colonoscopy, reduce morbidity and mortality associated with CRC, and reduce associated healthcare costs.…”
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Identification of potential biomarkers for lung cancer using integrated bioinformatics and machine learning approaches. by Md Symun Rabby, Md Merajul Islam, Sujit Kumar, Md Maniruzzaman, Md Al Mehedi Hasan, Yoichi Tomioka, Jungpil Shin

“…Protein-protein interaction (PPI) network analysis was performed using STRING, and the PPI network was visualized using Cytoscape. …”
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Improving classifier decision boundaries and interpretability using nearest neighbors by Johannes Schneider, Arianna Casanova

“…To address this issue, we propose a simple algorithm that performs a weighted average of a sample’s prediction and those of its nearest neighbors (computed in latent space), leading to minor but favorable outcomes across a variety of important performance measures for neural networks. …”
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Bridging the Gap: The Impact of Compensatory Measures on Mountain Farming in Piedmont by Francesca Moino, Alessandro Giacardi, Giovanbattista Califano, Roberto Cagliero

“…Using Farm Accounting Data Network data from 2012–2022, the analysis focuses on cattle, sheep and goats, and fruit farms, with 562 farms (3,557 observations; 39% in mountainous areas). …”
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UaVirBASE: A Public-Access Unmanned Aerial Vehicle Sound Source Localization Dataset by Gabriel Jekateryńczuk, Rafał Szadkowski, Zbigniew Piotrowski

“…Additionally, we describe the software and hardware employed for data acquisition and annotation alongside an analysis of the dataset’s structure. …”
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A deep learning software tool for automated sleep staging in rats via single channel EEG by Andrew Smith, Snezana Milosavljevic, Courtney J. Wright, Charlie A. Grant, Ana Pocivavsek, Homayoun Valafar

“…A deep neural network (DNN) model was designed and trained to classify these stages using the raw temporal data from the EEG. …”
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The Integration of a Medium-Resolution Underwater Radioactivity System in the COSYNA Observing System at Helgoland Island, Germany by Christos Tsabaris, Stylianos Alexakis, Miriam Lienkämper, Max Schwanitz, Markus Brand, Manolis Ntoumas, Dionisis L. Patiris, Effrosyni G. Androulakaki, Philipp Fischer

“…The data analysis proved that the system had a stable operation in terms of voltage stability, so all acquired spectra could be summed up efficiently in time to produce statistically optimal gamma-ray spectra for further analysis.…”
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The impact of dietary metabolizable energy levels on the performance of medium-sized geese: A systematic review by Shuo Wang, Chunbo Wei, Jiaxin Yan, Ying Zhang

“…Following the literature review, a network meta-analysis was conducted by Stata software (StataCorp version 14.0). …”
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