Development of Novel Soil Salinity Spectral Index Using Remotely Sensed Data: A Case Study on Balod District, Chhattisgarh, India by Deshpande Vaibhav Prakashrao, Ahmad Ishtiyaq, Singh Chandan Kumar

“…This study demonstrates a strong correlation between reflectance values and field EC data with an R2 value of 0.83 and a mean relative error of 10 %. …”
Get full text

Long-term monitoring, predicting and connection between built-up land and urban heat island patterns based on remote sensing data by Keyvan Ezimand, Hossein Aghighi, Alireza Shakiba

Get full text

Enhancing soil total nitrogen prediction in rice fields using advanced Geo-AI integration of remote sensing data and environmental covariates by Novandi Rizky Prasetya, Aditya Nugraha Putra, Mochtar Lutfi Rayes, Sri Rahayu Utami

“…STN content data were obtained for the top 20 cm soil from a total of 318 sampling points across all landforms—alluvial, karst, and volcanic—of the Malang Regency in East Java, Indonesia. …”
Get full text

Deep learning-based triple-tracer brain PET scanning in a single session: A simulation study using clinical data by Yiyi Hu, Amirhossein Sanaat, Gregory Mathoux, Pirazzo Andrade Teixeira Eliluane, Valentina Garibotto, Habib Zaidi, for the Alzheimer’s Disease Neuroimaging Initiative

Get full text

From GNSS Zenith Tropospheric Delay to Precipitable Water Vapor: Accuracy Assessment Using In-Situ and Reanalysis Meteorological Data Over China by Haoyu Wang, Fei Yang, Junxi Zheng, Zhuangzhuang Wang, Weicong Chen, Jia Xie

“…In addition, the analysis of the pressure level and the single level of the two reanalysis data used for PWV conversion is also conducted. …”
Get full text

Exploring the Effectiveness of Fusing Synchronous/Asynchronous Airborne Hyperspectral and LiDAR Data for Plant Species Classification in Semi-Arid Mining Areas by Yu Tian, Zehao Feng, Lixiao Tu, Chuning Ji, Jiazheng Han, Yibo Zhao, You Zhou

“…This study can provide important references for ensuring classification accuracy and error analysis of land cover based on HSI-LiDAR fusion in similar scenarios.…”
Get full text

High‐Precision Prediction of Ionospheric TEC in the China Region Based on CMONOC High‐Resolution Data and an Auxiliary Attention Temporal Convolutional Network by Jianghe Chen, Pan Xiong, Haochen Wu, Xiaoran Zhang, Xuemin Zhang, Rongzi Chai, Ting Zhang, Kaixin Wang, Chaoyu Wang

“…At the data level, a non‐integrated spherical harmonic model and Differential Code Bias correction method are employed to significantly reduce interpolation errors and improve model accuracy. …”
Get full text

Expert identification blitz: A rapid high value approach for assessing and improving iNaturalist identification accuracy and data precision and confidence by Thomas Mesaglio, Kelly A. Shepherd, Juliet A. Wege, Russell L. Barrett, Hervé Sauquet, Will K. Cornwell

“…This collaboration between experts and citizen scientists provides a way to quantify identification error rates for downstream statistical analysis and improves uncertain or incorrect identifications. …”
Get full text

Thermal boundary condition optimization of feed system based on RSM-IRIME by Haiyang Liu, Xianying Feng, Ming Yao, Anning Wang, Yandong Liu

Get full text

Algorithmic Trading and Sentiment Analysis in Indian Stock Market by Patil Smita Satish, Kubsad Pramod, Kulkarni Savitha

“…This study, will predict a sentiment value for stock-related tweets on Twitter, and demonstrate a correlation between this sentiment and the movement of a company’s stock price in a real-time streaming environment. This study data ranges from the period 2018 to 2024. The study reveals that the percentage of error which is less than 5% on almost all companies except one. …”
Get full text

Climate Change Analysis in Malaysia Using Machine Learning by Anishalache Subramanian, Naveen Palanichamy, Kok-Why Ng, Sandhya Aneja

Get full text

The Application of Spatial Analysis and Time Series in Modeling the Frequency of Earthquake Events in Bengkulu Province by Fachri Faisal, Pepi Novianti, Jose Rizal

“…This study provides an overview in combining spatial analysis and time series analysis to model the frequency of earthquake. …”
Get full text

Efficacy of virtual reality techniques in cardiopulmonary resuscitation training: protocol for a meta-analysis of randomised controlled trials and trial sequential analysis by Jia Wang, Lu Zhang, Guo Chen, Li Du, Jianqiao Zheng, Xiaoqian Deng

“…Trial sequential analysis and modified Jadad Scale will be used to control the risks of random errors and evaluate the evidence quality. …”
Get full text

Some methodical problems of SCUBA hydrobiological accounting surveys and the ways of their resolution by Alexander A. Dulenin

“…Regular sampling and uniform assessment methods do not guarantee to avoid the errors but usually cause excessive volume of samples and man-hours. …”
Get full text

Design of pineapple outer contour measurement device based on triangulation by LI Ying, DONG Yao, WANG Kaibin, HE Zifen, YUAN Hao

“…ObjectiveTo solve the problem that pineapple dimensions are not easy to obtain and lack of processing data during the processing of pineapple automated peeling machine.MethodsThe cylindrical coordinate system was used to describe the positional coordinates of the pineapple surface points, the required parameters were calculated by combining the contact measuring method and triangulation method, the overall scheme of the pineapple outer contour measuring mechanism was designed, the static force and buckling analysis of the measuring rod was carried out by ANSYS, and the experimental bench was built to carry out the verification experiments.Resultsthe maximum stress of the measuring rod during the measurement process was 32.463 MPa, and the maximum deformation was 0.21 mm, which meets the requirements of structural rigidity; The maximum error of the measurement test was 1.8 mm, which could be controlled within 1%, and the average measurement time was 31.6 and 35.2 s.ConclusionThe measurement accuracy and time of the experimental setup can satisfy the needs of the pineapple's actual production and processing.…”
Get full text

Enhancing Robustness of Variational Data Assimilation in Chaotic Systems: An α-4DVar Framework with Rényi Entropy and α-Generalized Gaussian Distributions by Yuchen Luo, Xiaoqun Cao, Kecheng Peng, Mengge Zhou, Yanan Guo

“…Under different initial guesses, the RMSE of both the background and analysis fields decreases quickly and stabilizes. In conclusion, the α-4DVar method demonstrates significant advantages in handling non-Gaussian observational errors, robustness against noise, and adaptability to various observational conditions, thus offering a more reliable and effective solution for data assimilation.…”
Get full text

Track Irregularity Time Series Analysis and Trend Forecasting by Jia Chaolong, Xu Weixiang, Wang Futian, Wang Hanning

Get full text

A comparative analysis of L-moments, maximum likelihood, and maximum product of spacing methods for the four-parameter kappa distribution in extreme value analysis by Muhammad Shafeeq ul Rehman Khan, Zamir Hussain, Sadaf Sher, Muhammad Amjad, Faisal Baig, Ishfaq Ahmad, Hamd Ullah

“…Assessment metrics of the empirical analysis include standard error, L-scale, and 90% confidence limits of the estimated quantiles. …”
Get full text

Testing Heteroscedasticity in Nonparametric Regression Based on Trend Analysis by Si-Lian Shen, Jian-Ling Cui, Chun-Wei Wang

Get full text

Bayesian analysis of isothermal titration calorimetry for binding thermodynamics. by Trung Hai Nguyen, Ariën S Rustenburg, Stefan G Krimmer, Hexi Zhang, John D Clark, Paul A Novick, Kim Branson, Vijay S Pande, John D Chodera, David D L Minh

“…Isothermal titration calorimetry (ITC) is the only technique able to determine both the enthalpy and entropy of noncovalent association in a single experiment. The standard data analysis method based on nonlinear regression, however, provides unrealistically small uncertainty estimates due to its neglect of dominant sources of error. …”
Get full text