Design of an Immersive Basketball Tactical Training System Based on Digital Twins and Federated Learning by Xiongce Lv, Ye Tao, Yifan Zhang, Yang Xue

“…The four-tier architecture (sensing layer, digital twin layer, federated layer, and interaction layer) synthesizes multimodal data (motion trajectories and physiological signals) with Multi-Agent Reinforcement Learning (MARL) to enable virtual–physical integrated tactical simulation and real-time error correction. Experimental results demonstrate that the experimental group achieved 35.2% higher tactical execution accuracy (TEA) (<i>p</i> < 0.01), 1.8 s faster decision making (<i>p</i> < 0.05), and 47% improved team coordination efficiency compared to the controls. …”
Get full text

A comparative study on the efficiency of biochar and iron-modified biochar for Pb-removal from aqueous solutions by Hossam S. Jahin, Mohamed H. H. Abbas, Ihab M. Farid, Amany Gameel, Mohamed A. Bassouny

Get full text

HOW DO THE MACROECONOMIC DETERMINANTS UNDERPIN THE CAPITAL MARKET DEVELOPMENT IN NORTH MACEDONIA? by Tatjana SPASESKA, Ilija HRISTOSKI

“…The main objective of this research is to examine the impact of macroeconomic determinants on the capital market development in the Republic of North Macedonia. …”

Optimizing potato yield predictions in Uttar Pradesh, India: a comparative analysis of machine learning models by Ahmad Alsaber, Anurag Satpathi, Mariam Alsabah, Parul Setiya

“…The ANN model demonstrated superior performance with the highest R2 values and the lowest error metrics, establishing it as the most reliable model for potato yield prediction. …”
Get full text

Enhancing Joint Probability of Maxima Method Through ENSO Integration: A Case Study of Annapolis, Maryland by Paul F. Magoulick, Li P. Sung

“…The ENSO-JPMM demonstrates improved predictive accuracy across all phases, with root mean square error reductions of up to 5.96% during Neutral conditions and 3.56% during El Niño phases. …”
Get full text

Optimal reception of multiple phase shift keying and quadrature amplitude modulation signals with non-coherent processing of harmonic interference by G. V. Kulikov, T. T. Do, A. A. Lelyukh, V. D. Nguyen

Get full text

Optimization of four-diode equivalent circuit models for solar cells: Analytical formulation and performance enhancement by Martin Calasan, Snezana Vujosevic, Mohammed Alruwaili, Moustafa Ahmed Ibrahim

“…For the PHOTOWATT PWP 201 solar panel, the proposed models achieved up to a 29 % reduction in root-mean-square error (RMSE) compared to the most accurate method reported in the literature. …”
Get full text

Acoustic Attenuation Performance Analysis and Optimisation of Expansion Chamber Coupled Micro-perforated Cylindrical Panel Using Response Surface Method by Mohamad Izudin ALISAH, Lu-Ean OOI, Zaidi Mohd RIPIN, Ahmad Fadzli YAHAYA, Kelvin HO

Get full text

Underwater acoustic signal denoising method based on DBO–VMD and singular value decomposition by A. Weiyi Chen, B. Shizhe Wang, C. Zongji Li, D. Li Dong

“…The results show that our proposed method has a more significant denoising effect, exhibiting certain advantages in evaluation indicators, such as SNR and root mean square error. After processing with this method, the geometric structure of the signal becomes more regular. …”
Get full text

A Retrospective Study to Evaluate the Quality Assurance of Thyroid Profile In A Tertiary Care Clinical Biochemistry Laboratory by Harish Rangareddy, Shashidhar Kurpad Nagaraj, Prabhavathi Kannala

Get full text

BAMHealthCloud: A biometric authentication and data management system for healthcare data in cloud by Kashish A. Shakil, Farhana J. Zareen, Mansaf Alam, Suraiya Jabin

“…From rigorous experiments, it can be concluded that it achieves a speedup of 9 times, Equal error rate (EER) of 0.12, the sensitivity of 0.98 and specificity of 0.95. …”
Get full text

Application of artificial neural networks for predicting soil settlement in geotechnical applications with plastic waste reinforcement above buried pipes by Sinan A. Al-Haddad, Hala Adnan Abbas, Luttfi A. Al-Haddad, Mustafa I. Al-Karkhi

“…The R2 values reached 0.9990 for training and 0.9965 for testing, while the Root Mean Square Error (RMSE) was maintained at 0.021% for training and 0.034% for testing which indicates minimal deviation between predicted-observed settlements. …”
Get full text

Ultra-high-resolution modeling of ground-level ozone for long-term exposure risk assessment driven by GTR-transformer by Jiahuan Chen, Heng Dong, Zili Zhang, Sicong He

Get full text

Semantic SLAM using laser-vision data fusion: Enhancing autonomous navigation in unstructured environments by Ning Chen, Dong Wei, Dongsheng Lin, Linhan Lin

“…Additionally, the size error between the generated map and the actual scene was reduced to just 0.81 %, indicating high fidelity in mapping accuracy. …”
Get full text

An algorithm for road target detection of autonomous vehicles based on improved YOLOv8 by Jianping Gao, Haotian Li, Zhe Li, Chengwei Xie, Xiaolei Ji, Yuzhuo Zhang

“…Aiming at the problems of near-target error detection and remote target missing detection in road target detection of autonomous vehicles, an improved road target detection algorithm YOLOv8-RTDAV based on YOLOv8n was proposed. …”
Get full text

Optimization Design of Cotton-Straw-Fiber-Modified Asphalt Mixture Performance Based on Response Surface Methodology by Guihua Hu, Xiaowei Chen, Zhonglu Cao, Lvzhen Yang

“…This research explored the application of cotton straw fiber in asphalt mixtures, aiming to optimize the asphalt mixtures’ performance. …”
Get full text

Chemometrics-aided surface-enhanced Raman spectrometric detection and quantification of GH and TE hormones in blood. by Annah M Ondieki, Zephania Birech, Kenneth A Kaduki, Peter W Mwangi, Moses Juma, Boniface M Chege

“…The ANN models, trained using PCA scores from blood samples with varied hormone concentrations, achieved high predictive accuracy with coefficients of determination (R² > 87.71%) and low root mean square error (RMSE < 0.6436). Elevated hormone levels were initially observed in injected rats, gradually declining over time, with results aligning closely to those obtained via ELISA kits. …”
Get full text

Evaluation of nurses’ perspectives on the design and use of assistant nurse robots in obstetrics and neonatal care: a mixed-method study by Özen İnam, Samet Okay

“…Qualitative analysis findings reveal positive perceptions regarding the robots’ potential to reduce error rates, enhance patient safety, and alleviate workload. …”
Get full text

TAX REVENUE AND EDUCATION INFRASTRUCTURAL DEVELOPMENT IN NIGERIA by Ernest Oshodin, Osasu Obaretin

“…This study adopted the ex post facto research design to examine the link between tax revenue and education infrastructural development. …”
Get full text

Interpretable Deep Learning Model for Grape Leaf Disease Classification Based on EfficientNet with Grad-CAM Visualization by Castaka Agus Sugianto, Dini Rohmayani, Jhoanne Fredricka, Mohamed Doheir

“…Traditional manual inspection methods are inefficient and prone to human error, highlighting the need for an automated approach. …”
Get full text