Evaluation of innovative technology market potential on the basis of technology audit by Oleksandra Kosenko, Victoriia Cherepanova, Iryna Dolyna, Viktoriia Matrosova, Olena Kolotiuk

“…This mechanism is built on structure evaluation table of technology market potential level detection as an object of commercialization. To ensure the efficiency of practical effect of the mechanism proposed, the authors systematized and completed methods of functional analysis and scanning of market environment for the purpose of qualitative comprehensive evaluation and innovative technology market potential forecasting.Introduction of the proposed evaluation method for technology market potential will result in the improvement of efficiency of enterprise innovation activity due to more rational distribution of available resources and immediate financing of developments with greater market potential.…”
Get full text

Predicting the heat capacity of strontium-praseodymium oxysilicate SrPr4(SiO4)3O using machine learning, deep learning, and hybrid models by Amir Hossein Sheikhshoaei, Ali Khoshsima, Davood Zabihzadeh

“…Machine learning (ML) offers a potent solution for forecasting diverse processes using both data-driven and knowledge-based methods. …”
Get full text

Pattern-Based Feature Extraction for Improved Deep Learning in Financial Time Series Classification by Seyed Ali Hosseini, Francesco Grimaccia, Alessandro Niccolai, Silvia Trimarchi

“…In this paper, the authors introduce a novel feature extraction method based on pattern detection in financial data to enhance the performance of deep learning models for financial time series classification. …”
Get full text

Spatiotemporal prevalence of COVID-19 and SARS-CoV-2 variants in Africa by Li-Ping Gao, Can-Jun Zheng, Ting-Ting Tian, Alie Brima Tia, Michael K. Abdulai, Kang Xiao, Cao Chen, Dong-Lin Liang, Qi Shi, Zhi-Guo Liu, Xiao-Ping Dong, Xiao-Ping Dong

Get full text

Gut microbiota and plasma metabolites in pregnant mothers and infant atopic dermatitis: A multi-omics studyKey Message by Bingqian Du, MA.Sc, Aga Shama, BA.Sc, Yi Zhang, BA.Sc, Baolan Chen, MA.Sc, Yongqi Bu, BA.Sc, Pei-an Chen, MA.Sc, Chuzhi Lin, BA.Sc, Jie Liu, MA.Sc, Juan Zheng, MA.Sc, Zhenjun Li, MD, PhD, Qingsong Chen, PhD, Yu Sun, PhD, Xi Fu, PhD

Get full text

The differences in microbial communities and Tick-Borne pathogens between Dermacentor marginatus and Hyalomma asiaticum collected from the Northwestern Xinjiang Uygur Autonomous Re... by Like Duan, Xiaona Yang, Lin Zhang, Xuexia Hou, Lijuan He, Jingwen Li, Qin Hao

Get full text

Artificial intelligence model predicts M2 macrophage levels and HCC prognosis with only globally labeled pathological images by Huiyuan Tian, Yongshao Tian, Dujuan Li, Minfan Zhao, Qiankun Luo, Lingfei Kong, Tao Qin

“…Background and aimsThe levels of M2 macrophages are significantly associated with the prognosis of hepatocellular carcinoma (HCC), however, current detection methods in clinical settings remain challenging. …”
Get full text

Pre-seismic anomalies and co-seismic disturbance induced by the 2024 Mw 7.1 Wushi earthquake: multi-GNSS observations and modeling by Jianghe Chen, Pan Xiong, Haochen Wu, Xiaoran Zhang, Xuemin Zhang, Ting Zhang, Qingshan Ruan

Get full text

A Comparative Analysis of the Effectiveness of Multiple Models for Predicting Heart Failure using Data Mining by Ahmed Sami Jaddoa, Juliet Kadum, Amaal Kadum

“…In order to preserve lives, early detection regarding such disease is essential. One of the quickest, practical, and affordable methods of disease detection is Data Mining DM, an artificial intelligence AI technology. …”
Get full text

Landslide susceptibility assessment based on an interpretable coupled FR-RF model: A case study of Longyan City, Fujian Province, Southeast China by Zong-yue Lu, Gen-yuan Liu, Xi-dong Zhao, Kang Sun, Yan-si Chen, Zhi-hong Song, Kai Xue, Ming-shan Yang

Get full text

Machine Learning-Based Grasshopper Species Classification using Neutrosophic Completed Local Binary Pattern by Mustafa İlçin, Nuh Alpaslan

“…However, this is a challenging process. Grasshopper detection methods are being developed using traditional forecasting methods by expert entomologists. …”
Get full text

Innovation ARIMA models application to predict pressure variations in water supply networks with open-loop control. Case study in Noja (Cantabria, Spain) by David Muñoz-Rodríguez, Manuel J. González-Ortega, María-Jesús Aguilera-Ureña, Andrés Ortega-Ballesteros, Alberto-Jesus Perea-Moreno

“…This open-loop control method lacks direct feedback between the PRV and CPC, making it challenging to distinguish whether pressure variations originate from normal head losses or abnormal network conditions.Unlike traditional applications of ARIMA focused on water demand forecasting, this study explores its novel use in pressure management within distribution networks, aiming to predict P3 (CPC) pressure based on head losses across a defined hydraulic sector. …”
Get full text

A crosslinked eutectogel for ultrasensitive pressure and temperature monitoring from nostril airflow by Tao Liu, Qinan Wu, Huansheng Liu, Xiyang Zhao, Xin Yi, Jing Liu, Zhenzhen Nong, Bingpu Zhou, Qingwen Wang, Zhenzhen Liu

“…However, the developed methods only rely on single stimulus sensing for nostril airflow, which is extremely susceptible to interference in the complex environment, and severely affects the accuracy of detection results. …”
Get full text

Application of capsule networks based on reparameterized heterogeneous convolution in multi-scale heterogeneous environment matrix in predictive modeling of interdisciplinary compl... by Shuya Liu, Xiaoli Zhang

“…Abstract Predictive modeling of complex systems frequently encounters inadequate processing capabilities for multi-scale heterogeneous data, as conventional methods grapple with the effective integration of such data. …”
Get full text

An advanced approach to tomato apex head thickness measurement using lightweight YOLO variants, faster RCNN, and RGB-depth sensor by Amora Amir, Suraj Giri, Surya Giri, Marya Butt

“…This study presents an automated method for detecting and measuring the apex head thickness of tomato plants, a critical phenotypic trait associated with plant health, fruit development, and yield forecasting. …”
Get full text

Refining Rainfall Derived from Satellite Radar for Estimating Inflows at Lam Pao Dam, Thailand by Nathaporn Areerachakul, Jaya Kandasamy, Saravanamuthu Vigneswaran, Kittitanapat Bandhonopparat

“…To improve accuracy, satellite-derived rainfall estimates were adjusted using ground-based rainfall measurements from stations located near and within the catchment area, applying the 1-DVAR method. The Kriging method was employed to estimate the spatial distribution of rainfall over the catchment area. …”
Get full text

Unleashing the power of intelligence: revolutionizing malaria outbreak preparedness with an advanced warning system in Benin, West Africa by Gouvidé Jean Gbaguidi, Nikita Topanou, Walter Leal Filho, Komi Agboka, Guillaume K. Ketoh

“…Methods Monthly climate data were sourced from Meteorological Agency of Benin (METEO-Benin), alongside malaria incidence data procured from the database of the Benin Ministry of Health, that covered the timeframe of 2009–2021. …”
Get full text

Isolation and characterization of a novel coltivirus from Haemaphysalis concinna ticks in Northeastern China by Yu-Hong Yang, Ji-Xu Li, Rui-Chen Wang, Qi-Kai Yin, Shi-Hong Fu, Kai Nie, Qian-Qian Cui, Song-Tao Xu, Qiang Wei, Fan Li, Xing-Zhou Li, Huan-Yu Wang

Get full text

Predicting Rolling Element Bearings’ Deterioration Vibration Trend based on Limited Historical Data for a Desired Confidence Level using Machine Learning Algorithms by Mohammad Reza Seif, Somaye Mohammadi, Parham Rahimi, Mehdi Behzad

“…This study proceeds in three distinct phases: selecting the key characteristic for predicting its deterioration trend, identifying the feature to pinpoint the failure onset, and determining the most suitable model for forecasting future bearing vibration states. RMS has emerged as the optimal characteristic for trend prediction, while Peak and Kurtosis have been identified as effective indicators for failure onset detection. …”
Get full text

Desensitized Financial Data Generation Based on Generative Adversarial Network and Differential Privacy by Fan Zhang, Luyao Wang, Xinhong Zhang

“…NVF-DPGAN model is feasible and practical in terms of financial data enhancement and privacy protection. This method can also be generalized to other fields, such as the privacy protection of medical data.…”
Get full text