Evaluation and Application of Machine Learning Techniques for Quality Improvement in Metal Product Manufacturing by Katarzyna Antosz, Lucia Knapčíková, Jozef Husár

“…The BT model demonstrated stability in its predictions with a slower prediction time, while the SVM model exhibited superior training speed, though with slightly lower accuracy. …”
Get full text

Development of a zoonotic influenza distribution assessment and ranking system (ZIDAR): Technical application in Nepal to support cross-sectoral risk-based surveillance by Adam Charette-Castonguay, Dipendra Gautam, Binay Shrestha, Hemant Chandra Ojha, Barun Kumar Sharma, Mukul Upadhayaya, Sujan Rana, Roshika Shrestha, Lok Bandu Chaudhary, Bhawana Kandel, Rudra Prasad Marasini, Sharmila Chapagain, Tulsi Ram Gompo, Surendra Karki, Apsara Poudel, Saugat Shrestha, Avinash Sunny Kayastha, Arun Kumar Govindakarnavar, Reuben Samuel, Allison Gocotano, Pushpa Ranjan Wijesinghe, Nilesh Buddha, Edwin Ceniza Salvador, Manish Kakkar, Ricardo J. Soares Magalhães

“…The model development and performance assessment steps of the technical stage includes a model calibration step to maximise model fitness with regards to wildlife and animal interfaces by finding pareto-efficient sets of weights for risk factors. …”
Get full text

Peer review in the global digital age: perspectives of publishing industry stakeholders by Dikran Toroser, Muhammad Sarwar, Lisa DeTora, Laura Dormer, Maryam Sayab

Get full text

Investigation of Features of Mass-Fragmentation of Some N-(N,N-diethylacetamidino)-O-alkylfluorophosphates and Related Alkylfluorophosphonates and their Detection by Liquid Chro... by A. V. Braun, I. V. Rybalchenko, V. N. Fateenkov, V. A. Yashkir

“…Presented  approach was tested in analysis of model aqueous samples; metrological parameters of detection of compounds  were estimated. …”
Get full text

BiDGCNLLM: A Graph–Language Model for Drone State Forecasting and Separation in Urban Air Mobility Using Digital Twin-Augmented Remote ID Data by Zhang Wen, Junjie Zhao, An Zhang, Wenhao Bi, Boyu Kuang, Yu Su, Ruixin Wang

“…Accurate prediction of drone motion within structured urban air corridors is essential for ensuring safe and efficient operations in Urban Air Mobility (UAM) systems. …”
Get full text

Research on the construction and application of problem-method-oriented academic graph empowered by LLM by Qigang Liu, Yinfan Wang, Lifeng Mu, Jun Li

“…Experiments on widely used benchmark datasets show that the proposed multi-relation extraction model is able to achieve at least 8.01% and 8.65% improvement on entity identification and relation classification respectively, compared with state-of-the-art models. …”
Get full text

A personalized prediction model for distinguishing between asymptomatic bacteriuria and symptomatic urinary tract infections in patients with type 2 diabetes mellitus using machine... by Shuangqing Liu, Juan Li, Yang Fang, Yang Fang, Xiujuan Wu, Yang Cao, Keke Cai, Keke Cai, Jing Yu, Jing Yu, Yan Zhao, Yitao Duan, Yitao Duan

“…The identification of ASB is influenced by several crucial factors, including urinary bacteria, urinary white blood cell clusters, C-reactive protein, alanine aminotransferase, glucose, gamma-glutamyl transpeptidase, sodium ions (Na+), and eosinophils.ConclusionThe ASBPredictor is an accurate, efficient, and reliable tool that helps doctors differentiate between ASB and symptomatic UTIs. …”
Get full text

Transformer-based tokenization for IoT traffic classification across diverse network environments by Firdaus Afifi, Faiz Zaki, Hazim Hanif, Nik Aqil, Nor Badrul Anuar

“…MIND-IoT employs a hybrid architecture that combines Transformer-based models for capturing long-range dependencies and convolutional neural networks (CNNs) for efficient local feature extraction. …”
Get full text

A Deep Learning Framework for the Classification of Brazilian Coins by Debabrata Swain, Viral Rupapara, Amro Nour, Santosh Satapathy, Biswaranjan Acharya, Shakti Mishra, Ali Bostani

“…We explore transfer learning from pre-trained models to enhance the model’s generalization capability, given limited data availability. …”
Get full text

Identifying breast cancer risk factors and evaluating biennial mammography screening efficacy using big data analysis in Taiwan by Chi-Cheng Huang, Tzu-Pin Lu, Yu-Jen Wang, Bo-Fang Chen, Hui-Ting Yang, Wei-Pin Chang, Ling-Ming Tseng

“…Consequently, there is an unmet need to identify breast cancer risk factors to develop a more efficient and tailored screening strategy that minimizes potential harm. …”
Get full text

Optimizing oil salt analysis in southern Iran: A comprehensive statistical model for ASTM D3230 electrochemical cell device utilizing advanced analytical approaches by M. Shirali, F. Mirhashemi

“…Various statistical tests, including ANOVA, are employed to develop significant regression models that offer an evolutionary and augmented reality perspective on the statistical and experimental data from the D3230 electrochemical cell, Petrotest device, and the IP 77/79 method. …”
Get full text

Economic diagnosis of operational activities of an industrial enterprise based on business indicators by E. Yu. Belova, A. V. Badina

“…It is identified that there exists a certain ambiguity in approaches to the concepts of efficiency and performance of activities of modern market economy subjects. …”
Get full text

Rethinking feature representation and attention mechanisms in intelligent recognition of leaf pests and diseases in wheat by Yuhan Zhang, Dongsheng Liu

Get full text

The procedure for choosing the concept of budgeting in vertically integrated structures by V.A.

“…The aim of the article is to assess the conceptual approaches to the implementation of the budgeting system in enterprises and scientific justification for choosing an effective concept of budgeting in vertically integrated structures based on the identification of determinants of impact on the enterprise and existing constraints. …”
Get full text

Pretreatment CT-Based Machine Learning Radiomics Model Predicts Response in Inoperable Stage III NSCLC Treated with Concurrent Radiochemotherapy Plus PD-1 Inhibitors by Ya Li Bachelor, Min Zhang Bachelor, Yong Hu MM, Bo Du Bachelor, Youlong Mo Bachelor, Tianchu He MM, Mingdan Zhao Bachelor, Benlan Li Bachelor, Ji Xia Bachelor, Zhongjun Huang Bachelor, Fangyang Lu MD, Zhen Huang Bachelor, Bing Lu MD, Jie Peng MD

“…Conclusion Pretreatment CT-based radiomics model accurately and efficiently predicts treatment response and risk stratification in patients with unresectable stage III NSCLC treated with concurrent chemoradiotherapy and sequential programmed death-1 inhibitor therapy. …”
Get full text

Practical approach to knowledge management implementation in historic buildings restoration by Katayoun Taghizadeh, Eskandar Mokhtari, M.H. Mahmoudi Sari

“…The results show that the model works efficiently in projects organization related to the historic building restoration.…”
Get full text

Pig Aggression Tracking and Analysis Application Based on A RPMeMOTR Method by Shuqin Tu, Haoxuan Ou, Aqing Yang, Yun Liang, Jiaying Du, Yuefei Cao, Ruilin He, Fang Yuan

“…To address the above challenges, this study proposes an RPMeMOTR approach by combining the RKNet model and the P-ids algorithm based on MeMOTR for pig aggression tracking and analysis. …”
Get full text

Automated Geographic Information System Multi-Criteria Decision Tool to Assess Urban Road Suitability for Active Mobility by Bertha Santos, Sandro Ferreira, Pollyanna Lucena

“…The effectiveness of the mobility solutions that are sought heavily depends on the identification of the main factors that favor their use, as well as how adequate urban spaces are in minimizing existing difficulties. …”
Get full text

User Need Prediction Based on a Small Amount of User-Generated Content—A Case Study of the Xiaomi SU7 by Lingling Liu, Biao Ma

“…For newly launched products with a limited presence in the market, the scarcity of UGC poses a challenge to businesses seeking to predict user needs from small datasets. (2) Methods: To address this challenge, this paper proposes a model using correlation analysis (CA) and linear regression (LR) combined with multidimensional gray prediction (a CA-LR-GM (1, N) model) to help enterprises use small sample data to predict user needs. …”
Get full text

An Intelligent Smart Dynamic Feature Analysis Based Approach by Utilizing Deep Learning to Improve the Breast Cancer Detection by Seong-O Shim, Lal Hussain, Eesa Alsolami, Monagi H. Alkinani

“…The model was also trained using Quantization aware training (QAT) to enable efficient deployment on low-resource devices without significant performance degradation. …”
Get full text