A new gridded offshore wind profile product for US coasts using machine learning and satellite observations by J. Frech, J. Frech, K. Saha, K. Saha, P. D. Lavin, P. D. Lavin, H.-M. Zhang, J. Reagan, B. Fung

“…<p>Offshore wind speed data around wind turbine hub heights are fairly limited, available through in situ observations from wind masts, sonic detection and ranging (sodar) instruments, or floating light detection and ranging (lidar) buoys at selected locations or as forecasting-model-based output from reanalysis products. …”
Get full text

Artificial intelligence applications in the management of musculoskeletal disorders of the shoulder: A systematic review by Umile Giuseppe Longo, Martina Marino, Guido Nicodemi, Matteo Giuseppe Pisani, Jacob F. Oeding, Christophe Ley, Rocco Papalia, Kristian Samuelsson

“…Seven studies analysed the detection of rotator cuff tears (RCTs) in magnetic resonance imaging and found area under the curve (AUC) values ranged from 0.812 to 0.94 for the detection of RCTs. …”
Get full text

Automatic Identification of Past Radiation Belts Electron Enhancement Events Using a Ground‐Based Parameter by Guillerme Bernoux, Gautier Nguyen, Angélica Sicard, Vincent Maget

“…Abstract We propose a new method for automatically identifying radiation belt electron enhancement events using Ca, a ground‐based 1D surrogate index for the global dynamics of the electron radiation belts. …”
Get full text

Improving the Accuracy of Neural Network Pattern Recognition by Fractional Gradient Descent by Ruslan I. Abdulkadirov, Pavel A. Lyakhov, Valentina A. Baboshina, Nikolay N. Nagornov

“…Further research of fractional calculus in modern neural network methodology can improve the quality of solving various challenges such as pattern recognition, time series forecasting, moving object detection, and data generation.…”
Get full text

Possibilities of a biobank for serological monitoring of infectious morbidity by O. A. Svitich, V. V. Zverev, T. V. Solomay, T. A. Semenenko, A. V. Nozdracheva, T. P. Gotvyanskaya

“…Currently, monitoring infectious morbidity, control and forecasting the epidemic process is a topical health problem.Aim. …”
Get full text

A novel mitochondrial quality regulation gene signature for anticipating prognosis, TME, and therapeutic response in LUAD by multi-omics analysis and experimental verification by Lijun Zeng, Sixuan Wu, Zhimin Li, Yuanbin Tang, Yeru Tan, Renji Liang, Yuehua Li

“…Methods We extensively examined transcriptome and clinical data from TCGA and GEO databases to discover differentially expressed MQRGs. …”
Get full text

Imprints of vibratory signals induced by road construction in strain and seismic records: A case study of Yichang station by Xiaolin Yang

“…With the goal of uncovering the impact on the records of the water-tube tiltmeters, vertical pendulums, extensometers, and seismometer, we analyzed the signatures of this disturbance using the signal processing method. The study produced several important results: In particular, the water-tube tiltmeters were more capable of detecting the vibratory disturbances than the vertical pendulums and extensometers, and the main feature of the disturbances was dominated by high-frequency tremors. …”
Get full text

Large scale summarization using ensemble prompts and in context learning approaches by Andrés Leiva-Araos, Bady Gana, Héctor Allende-Cid, José García, Manob Jyoti Saikia

“…Our results demonstrate that an ensemble of methods (Ev2) outperforms traditional summarization and density-based approaches, with improvements ranging from 16.7% to 29.6% in keyword definition tasks. …”
Get full text

Recent Advances in Early Earthquake Magnitude Estimation by Using Machine Learning Algorithms: A Systematic Review by Andrés Navarro-Rodríguez, Oscar Alberto Castro-Artola, Enrique Efrén García-Guerrero, Oscar Adrian Aguirre-Castro, Ulises Jesús Tamayo-Pérez, César Alberto López-Mercado, Everardo Inzunza-Gonzalez

“…The search terms included the following: (“earthquake magnitude” OR “earthquake early warning”) AND (prediction OR forecasting OR estimation OR forecast OR classification) AND (“machine learning” OR “deep learning” OR “artificial intelligence”). …”
Get full text

Analysis of the incidence of breast cancer in the Krasnoyarsk Territory by R. A. Zukov, I. P. Safontsev, A. V. Zyuzyukina, K. D. Permyakova, T. N. Zamay, A. S. Kichkaylo

“…To conduct an analysis of the incidence of breast cancer in the Krasnoyarsk Territory for 2012–2021 and calculate the medium-term forecast of indicators until 2030.   Materials and methods. …”
Get full text

Leveraging artificial intelligence for diagnosis of children autism through facial expressions by Mahmood A. Mahmood, Leila Jamel, Nazik Alturki, Medhat A. Tawfeek

“…The ViT-ResNet152 model’s convolutional and transformer processing elements worked together to improve the accuracy of the diagnosis to 91.33% and make it better at finding different cases of autism spectrum disorder (ASD).The research outcomes demonstrate that AI tools show promise for delivering highly precise and standardized methods to detect ASD at an early stage. Future research needs to include multiple data types as well as extend dataset variability while optimizing hybrid architecture systems to elevate diagnostic forecasting. …”
Get full text

CRITIC-Based Vertical Collusion Control Quality Prediction Based on the Coupling and Coordination Degrees of Socioenvironmental and Public-Investment Bidding Systems in China by Chongsen Ma, Yun Chen, Liang Ou, Kangyang Jiang

“…The criteria importance through intercriteria correlation method was used to quantify these degrees. To smooth out periods of missing data, the autoregressive integrated moving average model was employed, and the first-order, one-variable, time-series forecasting method was then used to project the trend to 2025. …”
Get full text

Study on soil moisture estimation using a three-frequency combination of observations integrated with robust estimation and machine learning by Yintao Liu, Chao Ren, Hongjuan Shao

“…The new methods eliminate the impact of geometrical factors and atmospheric delays. …”
Get full text

Predicting CO2 adsorption in KOH-activated biochar using advanced machine learning techniques by Raouf Hassan, Alireza Baghban

“…Abstract Accurately forecasting carbon dioxide (CO2) adsorption in KOH-activated biochar is crucial for advancements in geoenergy engineering and environmental technology. …”
Get full text

MBFE-UNet: A Multi-Branch Feature Extraction UNet with Temporal Cross Attention for Radar Echo Extrapolation by Huantong Geng, Han Zhao, Zhanpeng Shi, Fangli Wu, Liangchao Geng, Kefei Ma

“…Existing deep learning echo extrapolation methods often face issues such as high-threshold echo attenuation and blurring distortion. …”
Get full text

A Comprehensive Review of Machine Learning Models for Optimizing Wind Power Processes by Cosmina-Mihaela Rosca, Adrian Stancu

“…The research notes that previous studies have focused on wind forecasting, fault detection, or turbine efficiency. …”
Get full text

Crumbling Pathogenesis and Biomarkers for Diabetic Peripheral Neuropathy by Zhao Zhong Chong, Nizar Souayah

“…<b>Conclusions</b>: Most biomarkers for predicting DSP have demonstrated suboptimal predictive value, and many lack established accuracy in forecasting DSP progression. Consequently, the diagnostic utility of any single biomarker remains limited. …”
Get full text

Advancing Early Warning Systems for Malaria: Progress, challenges, and future directions - A scoping review. by Donnie Mategula, Judy Gichuki, Karen I Barnes, Emanuele Giorgi, Dianne Janette Terlouw

“…The studies varied in their transmission settings, from pre-elimination to high burden, and their purposes, ranging from outbreak detection to resource allocation. The studies employed various statistical and machine-learning models to forecast malaria cases, often incorporating environmental covariates such as rainfall and temperature. …”
Get full text

Snow depth estimation in Northeast China based on space-borne scatterometer data and ML model with optimal features by Wenfei Chen, Lingjia Gu, Xiaofeng Li, Xintong Fan

“…Real-time snow depth (SD) monitoring is crucial for water resource management, weather forecasting, and environmental research. Current SD estimation methods primarily rely on passive microwave or synthetic aperture radar (SAR) technologies. …”
Get full text

Assessing Groundwater Drought Hazard in Groundwater Depletion Regions: Recommendations for Large‐Scale Drought Early Warning Systems by Claudia Herbert, Petra Döll

“…Abstract In groundwater depletion (GWD) regions, negative trends in groundwater storage (GWS) are problematic for groundwater drought detection, since they mask climate‐induced drought signals. …”
Get full text