Reliability Estimation for the Gull Alpha Power Pareto Model Under Progressive Type-I Censoring by Mahmoud M. Abdelwahab, Ahmed R. El-Saeed, M. A. Abdelkawy, Mohamed Khalifa Ahmed Issa, Hanem Mohamed

“…Estimation methods were investigated from an algorithmic perspective: for maximum likelihood estimation, the Newton-Raphson algorithm was adapted, while for Bayesian estimation, Markov Chain Monte Carlo methods were employed, utilizing the Metropolis-Hastings algorithm. …”
Get full text

Combined use of near infrared spectroscopy and chemometrics for the simultaneous detection of multiple illicit additions in wheat flour by Xinyi Dong, Ying Dong, Jinming Liu, Siting Wu

“…The safety and quality of wheat flour, a staple in daily life, directly affect people's health. The illegal use of additives such as azodicarbonamide, talcum and gypsum powders can lead to serious health risks. …”
Get full text

Research status and prospect of UWB radar echo signal processing technology for mine rescue by Xuezhao ZHENG, Chaoyang SUN, Yuan HUANG, Wen DING, Yang MA, Qiang LI, Haowei MOU

“…Based on the echo signal processing process, this study introduces the working principle of UWB radar life information detection technology, discusses the relevant methods and algorithms of clutter suppression and background noise filtering in the echo signal preprocessing, and analyzes the research status of life signal extraction and recognition methods. …”
Get full text

Unobtrusive Sleep Posture Detection Using a Smart Bed Mattress with Optimally Distributed Triaxial Accelerometer Array and Parallel Convolutional Spatiotemporal Network by Zhuofu Liu, Gaohan Li, Chuanyi Wang, Vincenzo Cascioli, Peter W. McCarthy

Get full text

Proposal of a new classification scheme for periocular injuries by Devi Prasad Mohapatra, Friji Meethale Thiruvoth, Ravi Kumar Chittoria, S. Dinesh Kumar, Sudhanva Hemant Kumar, Senthil Kumar, Preethitha Babu, Elan Kumar

“…Based on the classification scheme and review of existing literature, an algorithm is presented to facilitate repair and reconstruction.…”
Get full text

The new global public: Surveillance and the risks to the civil sphere by Dawson Jessica

Get full text

The Use of NIR Spectroscopy and Chemometrics to Identify the Thermal Treatment of Milk in Fiore Sardo PDO Cheese to Detect Fraud by Marco Caredda, Alessio Silvio Dedola, Massimo Pes, Margherita Addis

Get full text

Algoriths and Procedures for Investment Audit Using a Risk-Based Approach by V. А. Yakimova, S. V. Pankova

Get full text

Prediction of Voice Therapy Outcomes Using Machine Learning Approaches and SHAP Analysis: A K-VRQOL-Based Analysis by Ji Hye Park, Ah Ra Jung, Ji-Na Lee, Ji-Yeoun Lee

“…This study aims to identify personal, clinical, and acoustic predictors of therapy outcomes based on changes in Korean voice-related quality of life (K-VRQOL) scores, as well as to compare the predictive performance of traditional regression and machine learning models. …”
Get full text

Effectiveness of biomarker-guided duration of antibiotic treatment in children hospitalised with confirmed or suspected bacterial infection: the BATCH RCT by Cherry-Ann Waldron, Philip Pallmann, Simon Schoenbuchner, Debbie Harris, Lucy Brookes-Howell, Céu Mateus, Jolanta Bernatoniene, Katrina Cathie, Saul N Faust, Josie Henley, Lucy Hinds, Kerry Hood, Chao Huang, Sarah Jones, Sarah Kotecha, Sarah Milosevic, Helen Nabwera, Sanjay Patel, Stéphane Paulus, Colin VE Powell, Jenny Preston, Huasheng Xiang, Emma Thomas-Jones, Enitan D Carrol

“…Objective To determine if using a procalcitonin-guided algorithm may safely reduce duration of antibiotic therapy compared to standard of care in hospitalised children with suspected or confirmed infection. …”
Get full text

Bi-Objective Optimization of Techno-Economic and Environmental Performance for Membrane-Based CO₂ Capture via Single-Stage Membrane Separation by Nobuo Hara, Satoshi Taniguchi, Takehiro Yamaki, Thuy T. H. Nguyen, Sho Kataoka

Get full text

Study on Subway Station Street Block-Level Land Use Pattern and Plot Ratio Control Based on Machine Learning by Mingyi Kuang, Fei Fu, Fangzhou Tian, Liwei Lin, Can Du, Yuesong Zhang

“…The goal of this study is to optimize land use and floor area ratio control strategies through the application of this model, intelligently respond to the challenges of high-density development and quality of life assurance, achieve the best use of land, and promote sustainable urban development and the construction of smart cities.…”
Get full text

RUL Prediction Based on MBGD-WGAN-GRU for Lithium-Ion Batteries by Zhiguo Zhao, Ke Li, Yibo Dai, Biao Chen, Yeqin Wang, Qian Zhao

“…Subsequently, the mini-batch stochastic gradient descent algorithm is employed to optimize a Wasserstein generative adversarial network, thereby augmenting the training set and enhancing data diversity. …”
Get full text

Researching Issues of Product Range and Stock Management in Trade Chains by S. N. Milov, A. S. Milov

Get full text

Online Fault Tolerant RUL Prediction Strategy for Lithium-Ion Batteries Using Machine Learning by Brahim Zraibi, Mohamed Mansouri, Chafik Okar, Hicham Chaoui

“…Consequently, predicting the remaining useful life (RUL) of batteries is essential to prevent such failures and related issues. …”
Get full text

Breast cancer is a threatening scenario resulting from the development of endometriosis and benign breast disease overlap syndrome: literature review by T.A. Lunko, O.O. Lytvynenko, A.S. Lunko, S.V. Konovalenko, A.V. Khmel

“…The development in the near future of an algorithm for clinical monitoring of patients with overlap syndrome of GE and BBD will be a logical and justified step, because early diagnosis of BC provides better treatment results and an increase in the quality of life of patients.…”
Get full text

Superservice: Concept, Content, and Modeling by Aleksei D. Neroslov, Polina Yu. Kuznetsova

“…Superservice provides state and municipal services to citizens depending on particular circumstances defined as life situations. This client-oriented service delivery system is an important part of the current Russian system of state and municipal services. …”

A Comparative Study of Data-Driven Prognostic Approaches under Training Data Deficiency by Jinwoo Song, Seong Hee Cho, Seokgoo Kim, Jongwhoa Na, Joo-Ho Choi

“…The performance of these algorithms is compared using the Commercial Modular Aero-Propulsion System Simulation (CMAPSS) datasets, which are made by simulation of turbofan engine performance degradation. …”
Get full text

A feature extraction method based on improved resonance sparse decomposition for early faults in rolling bearings by SUN Meng, GAO Bingpeng, CHENG Jing

“…Finally, the fault features were extracted by the perform envelope spectrum analysis. The algorithm comparison experiments show that the proposed IGTO algorithm has significantly improved optimization performance. …”
Get full text

Advanced Machine Learning Methodology for Earthquake Magnitude Forecasting Using Comprehensive Seismic Data by Subhieh El-Salhi, Bashar Igried, Sari Awwad

“…Earthquakes are among the most devastating natural disasters, and accurately forecasting their magnitude is critical for reducing their impact on life and property. In this study, the effectiveness of advanced machine learning techniques for improving earthquake magnitude prediction is examined using comprehensive seismic data. …”
Get full text