Resonant Elements for Tunable Reflectarray Antenna Design by M. Y. Ismail, M. Inam

“…The results demonstrate a reduction in the phase errors offering an increased static linear phase range of 225° which allows to improve the bandwidth performance of single layer reflectarray antenna. …”
Get full text

Precision Estimation of Rice Nitrogen Fertilizer Topdressing According to the Nitrogen Nutrition Index Using UAV Multi-Spectral Remote Sensing: A Case Study in Southwest China by Lijuan Wang, Qihan Ling, Zhan Liu, Mingzhu Dai, Yu Zhou, Xiaojun Shi, Jie Wang

“…The RF surpassed BPNN/PLSR by 6.14–10.10% in R² and 13.71–33.65% in error reduction across the critical rice growth stages. …”
Get full text

Remaining useful life prediction of a small sample of aero-engine based on an improved gray Markov model by Dong-hai Li, Ji-liang Tu, Hui Liu, Nai-zhi Liao

“…To enhance adaptability, a genetic algorithm dynamically optimizes the time response parameters of the grey model, overcoming the limitation of a fixed structure in traditional methods. The improved model achieves an average absolute percentage error reduction of 2.04 % compared to the original gray Markov model. …”
Get full text

Extreme heat prediction through deep learning and explainable AI. by Fatima Shafiq, Amna Zafar, Muhammad Usman Ghani Khan, Sajid Iqbal, Abdulmohsen Saud Albesher, Muhammad Nabeel Asghar

“…Our findings demonstrate that the LSTM model outperforms others with a lead time of 1-3 days and minimal error metrics, achieving an accuracy of 96.2%. Through the utilization of SHAP and LIME XAI methods, we elucidate the significance of humidity and maximum temperature in accurately predicting extreme heat events. …”
Get full text

Big data-driven corporate financial forecasting and decision support: a study of CNN-LSTM machine learning models by Aixiang Yang

“…With the rapid advancement of information technology, particularly the widespread adoption of big data and machine learning, corporate financial management is undergoing unprecedented transformation. Traditional methods often lack accuracy, speed, and flexibility in forecasting and decision-making. …”
Get full text

Assessment of public knowledge of improper application aspects of topical drug preparation use: A cross-sectional study by Anmar Al-Taie, Omnia Hamdy Ahmed Ahmed Elqersh

“…These errors can result in treatment failure, a reduction in therapeutic response and subpar disease control. …”
Get full text

Improved Remote Photoplethysmography Using Machine Learning-Based Filter Bank by Jukyung Lee, Hyosung Joo, Jihwan Woo

“…The proposed approach was validated with an open dataset, achieving a 35.5% (i.e., resulting in a mean absolute error of 2.5 beats per minute) higher accuracy than those of conventional methods. …”
Get full text

Multimodal fusion for athlete state prediction leveraging XLNet and deep generative models by Yafeng Feng, Yong Sun, Chengfang Hang

“…Experimental results show that our model achieves a significant improvement in classification accuracy, with a 12% increase in emotional state recognition compared to traditional models, and a 15% reduction in prediction error for physiological state estimation. …”
Get full text

Enhancing Far-Field Speech Recognition with Mixer: A Novel Data Augmentation Approach by Tong Niu, Yaqi Chen, Dan Qu, Hengbo Hu

“…Experimental results demonstrate that Mixer significantly outperforms existing methods, including SpecAugment, achieving a relative word error rate (WER) reduction of 3.6% compared to the baseline. …”
Get full text

The Use of Speech Technology in Foreign Language Pronunciation Training by Grażyna DEMENKO, Agnieszka WAGNER, Natalia CYLWIK

“…In recent years the application of computer software to the learning process has been found to be an indisputably effective tool supporting the traditional teaching methods. Particular focus has been put on the application of techniques based on speech and language processing to the second language learning. …”
Get full text

Analysis of the fresnel breakdown and diffraction losses across a hilly terrain region by Thaisa Jawhly

“…In addition, line-of-sight (LOS) probability is calculated by adopting the methods given in ITU-R P.1410-6. The proposed breakdown across the hillslope showed a reduction in breakdown distance compared to the standard breakdown estimates, which occur at 178 m away from the transmitter. …”
Get full text

Failure Analysis of Static Analysis Software Module Based on Big Data Tendency Prediction by Jian Zhu, Qian Li, Shi Ying

“…In the paper, static analysis software is taken as the research object, the errors or failures caused by the potential defects of the software modules are analyzed, and a software analysis method based on big data tendency prediction is proposed to use the software defects of the stacked noise reduction sparse analyzer to predict. …”
Get full text

Graph2Mat: universal graph to matrix conversion for electron density prediction by Pol Febrer, Peter Bjørn Jørgensen, Miguel Pruneda, Alberto García, Pablo Ordejón, Arghya Bhowmik

“…The novel prediction model also allows for two new and promising measures of uncertainty (total charge error and self-consistency error) that will facilitate its practical usage, e.g. within active learning workflows. …”
Get full text

AirTrace-SA: Air Pollution Tracing for Source Attribution by Wenchuan Zhao, Qi Zhang, Ting Shu, Xia Du

“…Air pollution source tracing is vital for effective pollution prevention and control, yet traditional methods often require large amounts of manual data, have limited cross-regional generalizability, and present challenges in capturing complex pollutant interactions. …”
Get full text

A clinical prediction model for blood pressure changes after renal denervation in patients with resistant hypertension by Yishuan Zhang, Ruiqing He, Chen Chen, Hong Zhang, Lingyan Li, Rongxue Xiao, Shuangyu Chen, Shuyi Wu, Zongjun Liu, Junqing Gao

“…In the prediction model on SBP change, compared to the OLS model, the Ridge regression exhibited lower prediction errors [mean absolute error [MAE]: 6.40 vs. 6.95; mean squared error [MSE]: 65.58 vs. 76.15] and a higher R² (0.79 vs. 0.72). …”
Get full text

Deep-Learning-Based Approach in Imaging Radiometry by Aperture Synthesis: Application to Real SMOS Data by Ali Khazaal, Richard Faucheron, Nemesio J. Rodriguez-Fernandez, Eric Anterrieu

“…Globally, the results demonstrate a significant improvement in image quality, with a reduction in reconstruction error, better handling of residual foreign sources, such as radio frequency interference and direct solar radiation, and a notable reduction in land-sea and sea-ice contamination. …”
Get full text

Video-Based Assessment of Surgical Skill in Orthopaedic Surgery by Jillian McNally, MD, David Wilson, MD, MSc, FRCSC, Emma E. Jones, BScH, Neyousha Shahisavandi, MPH, Caroline King, PhD, Chad Coles, MD, FRCSC, Raymond Andrew Glennie, MD, MSc, FRCSC

“…The objective of this study were to describe the technique for professional video capture of simulated, open orthopaedic surgeries and to assess construct validity by comparing objective performance scores from the videos with the learner's stage of training. Methods:. In 2022, one experienced surgeon and 3 trainees (post graduate year [PGY]-4, PGY-3, PGY-2) were recruited from a residency program to perform 2 moderately challenging surgeries (open reduction and internal fixation of both bone forearm and talus fractures), with fractures simulated using an osteotome. …”
Get full text

Corneal characteristics in children with Marfan syndrome with or without ectopia lentis by Marisa O'Brien, Lawrence Tychsen

“…Objective To measure eye findings longitudinally in MFS children with and without EL. Methods A prospective, comparative case study was conducted on 24 MFS children (48 eyes). …”
Get full text

Estimation of Footprint-Scale Across-Track Slopes Based on Elevation Frequency Histogram from Single-Track ICESat-2 Photon Data of Strong Beam by Qianyin Zhang, Hui Zhou, Yue Ma, Song Li, Heng Wang

“…Based on the ICESat-2 photon data over the Walker Lake area, the specific purposes are to (1) extract the along-track slope and surface roughness from the signal photon data on the ground; (2) generate an elevation frequency histogram (EFH) and calculate its root mean square (RMS) width; and (3) derive the across-track slope from the RMS width of the EFH and evaluate the retrieval accuracy against the across-track slope from the ICESat-2 product and plane fitting method. The results show that the mean absolute error (MAE) obtained by our method is 11.45°, which is comparable to the ICESat-2 method (11.61°) and the plane fitting method (12.51°). …”
Get full text

Study on Photovoltaic Plant Site Selection Models Based on Geographic and Environmental Features by RAO Zhi, YANG Zaimin, YANG Xiongping, LI Jiaming, YANG Ping, WEI Zhichu

“…Compared with the second-best performing informer model， the proposed model achieved reductions of 24.0%， 23.1%， and 28.5% in the mean absolute error， mean absolute percentage error， and root mean square error， respectively. …”
Get full text