Vehicle detection method based on multi-layer selective feature for UAV aerial images by Yinbao Ma, Yuyu Meng, Jiuyuan Huo

“…However, this task remains challenging due to variable high-altitude viewpoints, complex environmental interference, and limitations in algorithmic efficiency. To address these issues, a lightweight vehicle detection model is developed based on UAV aerial imagery. …”
Get full text

Longitudinal analysis of behavioral factors and techniques used to identify vaccine hesitancy among Twitter users: Scoping review by Sulaiman Khan, Md. Rafiul Biswas, Zubair Shah

“…Twitter user sentiment (positive, negative, and neutral) and emotions (fear, trust, sadness) were also discussed to identify the intentions to accept or refuse vaccines. …”
Get full text

Comprehensive flexible framework for using multi-machine learning methods to optimal dynamic transient stability prediction by considering prediction accuracy and time by Ali Abdalredha, Alireza Sobbouhi, Abolfazl Vahedi

“…This paper presents a flexible framework for using the desired number of ML algorithms and combines the results of them to extract the final optimal transient stability perdition (TSP). …”
Get full text

Features of the microelement composition of saliva in elderly patients by A. M. Imanov, Y. A. Mazur, E. M. Kakabadze

“…The paper analyzes studies on the possibilities of using the method of microelement analysis of saliva in elderly patients in relation to such pathological conditions as the development of cardiovascular and neurodegenerative diseases, a decrease in humoral and local immunity, including the development of chronic immune inflammation as one of the geriatric syndromes of initial asthenia, and also the development of periodontitis and type 2 diabetes. …”
Get full text

Overcoming the challenges of data integration in ecosystem studies with machine learning workflows: an example from the Santos project by Gustavo Fonseca, Danilo Candido Vieira

“…Furthermore, these workflows lay the foundation for implementing long-term learning algorithms, a pivotal increment for monitoring initiatives. …”
Get full text

Integrating Artificial Intelligence into Service Innovation, Business Development, and Legal Compliance: Insights from the Hainan Free Trade Port Era by Yincheng Li, Shumin Wang, Muhammad Bilawal Khaskheli

“…Being critical to the fourth industrial revolution, digital business and international cooperation, technology propels enterprises across various industries to transition from traditional models to intelligent and service-oriented ones. It also elucidates the theoretical foundations of AI products, the digital economy, and service innovation. …”
Get full text

Ethics dumping in artificial intelligence by Jean-Christophe Bélisle-Pipon, Gavin Victor

“…Artificial Intelligence (AI) systems encode not just statistical models and complex algorithms designed to process and analyze data, but also significant normative baggage. …”
Get full text

Atten‐SEVNETR for volumetric segmentation of glioblastoma and interactive refinement to limit over‐segmentation by Swagata Kundu, Dimitrios Toumpanakis, Johan Wikstrom, Robin Strand, Ashis Kumar Dhara

“…An interactive graphical user interface is also developed where the initial 3D segmentation of glioblastoma can be interactively corrected to remove falsely detected spurious tumour regions. …”
Get full text

Discovery, design, and engineering of enzymes based on molecular retrobiosynthesis by Ancheng Chen, Xiangda Peng, Tao Shen, Liangzhen Zheng, Dong Wu, Sheng Wang

“…We first introduce the molecular retrosynthesis route planning in biochemical pathway design, including single‐step retrosynthesis algorithms and AI‐based chemical retrosynthesis route design tools. …”
Get full text

A Graphite Ore Grade Recognition Method Based on Improved Inception-ResNet-v2 Model by Xueyu Huang, Renjie Pan, Jionghui Wang

“…Compared with some mainstream CNN algorithms, our method offers significant advantages in accuracy and robustness, making it highly suitable for graphite ore grade recognition.…”
Get full text

Evaluating the acceptance of CBDCs: experimental research with artificial intelligence (AI) generated synthetic response by Sergio Luis Náñez Alonso, Peterson K. Ozili, Beatriz María Sastre Hernández, Luís Miguel Pacheco

“…Generative AI, with its algorithmic fidelity, has great potential for predicting human behavior in economic contexts. …”
Get full text

The current state of the problem of tick-borne encephalitis in Russia and the world by N. M. Kolyasnikova, A. A. Ishmukhametov, V. G. Akimkin

“…In conditions of combination of natural foci of TBE and other tick-borne infections, it is important to develop diagnostic algorithms, including differential diagnosis of this disease with other infections transmitted by Ixodic ticks.…”
Get full text

CNN‐based off‐angle iris segmentation and recognition by Ehsaneddin Jalilian, Mahmut Karakaya, Andreas Uhl

“…Finally, the recognition performance of the selected approach is compared against some state‐of‐the‐art off‐angle iris recognition algorithms.…”
Get full text

Allocation of Oral Cholera Vaccines in Africa by Elisa M. Maffioli, Yutong Lu

“…Using machine learning algorithms, we assess the relative importance of socio-demographic, governance, and weather variables in predicting cholera outbreaks. …”
Get full text

Identificación experimental de patrones de falla en flujómetros del tipo turbina. // Experimental identification of failure patterns in turbine type fluxmeter. by O. Reyes Vaillant, J. Cabrera Gómez

“…These results will be employed in order to design a diagnostic system<br />for TFMs using algorithms containing the proposed analysis methods.…”
Get full text

The center for the treatment of sudden cardiac death: the results of five years of work by V. M. Teplov, D. M. Prasol, V. V. Kolomoytsev, N. D. Arkhangelsky, S. F. Bagnenko

“…Extracorporeal cardiopulmonary resuscitation (ECPR) was used in 16 cases, in 6 cases, patients were decannulated after cardiac recovery; also, ECMO was used postmortem 15 times to preserve donor organs. …”
Get full text

Deep Learning in Wireless Communication Receivers: A Survey by Shadman Rahman Doha, Ahmed Abdelhadi

“…Traditional wireless receivers depend on models and algorithms, which do not have the ability to learn from data. …”
Get full text

A hybrid approach to time series forecasting: Integrating ARIMA and prophet for improved accuracy by Sherly A, Mary Subaja Christo, Jesi V Elizabeth

“…This paper explores various forecasting models and algorithms applied to time series data in edge environments, focusing on both univariate and multivariate approaches. …”
Get full text

PINN-Based Method for Predicting Flow Field Distribution of the Tight Reservoir after Fracturing by Jun Pu, Wenfang Song, Junlai Wu, Feifei Gou, Xia Yin, Yunqian Long

“…The results show that the DNN model was not only sensitive to noisy data but also more vulnerable to overfitting as the training iterations increase. …”
Get full text

Enhancing Crop Yield Prediction Using IoT-Based Soil Moisture and Nutrient Sensors by Alsalami Zaid, Mohammed G., Srinivas Tummala

“…Crop yield prediction is crucial for ensuring food security by enabling farmers to optimize resource use, manage risks, and plan for market demands, ultimately leading to increased agricultural productivity and sustainability..The IoT-based crop yield prediction system integrates advanced sensing technologies, communication protocols, machine learning algorithms, and real-time monitoring to optimize crop production. …”
Get full text