SPECIFIC METHODS APPLIED WITHIN THE STRATEGY FOR SUSTAINABLE DEVELOPMENT OF AGRICULTURAL EXPLOITATIONS by Daniela SIMTION

Get full text

PHARMACOECONOMIC EFFECTIVENESS OF SOME MODERN METHODS OF THERAPY IN CYSTIC FIBROSIS CHILDREN by N.Yu. Kashirskaya, N.I. Kapranov, Yu.I. Vasil'eva

Get full text

Evaluation of DNA Extraction Methods for Microbial Community Profiling in Deadwood Decomposition by Yanmei Zhang, Zewei Song, Jonathan S. Schilling

Get full text

Improving methods for assessing economic security at the micro level in the context of digitalization by I. V. Vyakina

Get full text

Privacy-Preserving Data Mining Methods Metrics and Applications in Healthcare Informatics by Shukla Abhay, Chaurasia Shubham, Pandey Gaurav, Kumar Shukla Sanjeev, Singh Parihar Subhash, P B Edwin Prabhakar

Get full text

Pac-12 CARE-Affiliated Program: structure, methods and initial results by Kimberly G Harmon, Sourav K Poddar, Adam D Bohr, Matthew B McQueen, Jamshid Ghajar, Doug F Aukerman, Russell Romano, Theresa D Hernández, Niki Konstantinides, David J Petron, Christopher Giza

Get full text

An examination of the interrelationships among NASA-TLX dimensions utilizing the DEMATEL method. by Şeniz Harputlu Aksu, Aylin Adem, Erman Çakıt, Metin Dağdeviren, Waldemar Karwowski

“…The NASA TLX is a survey-based method widely used to evaluate cognitive workload across six specific dimensions related to an employee's tasks. …”
Get full text

Methodological Features of Validating Forensic Expert Techniques by A. I. Usov, G. G. Omel’yanyuk, G. I. Bebeshko, I. P. Lyubetskaya, I. B. Afanas’ev

Get full text

Ensemble-based customer churn prediction in banking: a voting classifier approach for improved client retention using demographic and behavioral data by Ruchika Bhuria, Sheifali Gupta, Upinder Kaur, Salil Bharany, Ateeq Ur Rehman, Seada Hussen, Ghanshyam G. Tejani, Pradeep Jangir

Get full text

Exploring the impacts of woodland management on ecosystem services – a deliberative method by Antonia Eastwood, Altea Lorenzo-Arribas, Anke Fischer, Laura MacLean, Alice Hague, Alba Juarez-Bourke, Scott Herrett, Anja Byg, Keith Marshall, Robin Pakeman, Gillian Donaldson-Selby, Alison Hester

“…Here we describe a deliberative scenario analysis method using ‘management intervention bundles’ as distinct scenarios to assess the perceived impact of changing management on woodland ecosystem services. …”
Get full text

A Track-Type Orchard Mower Automatic Line Switching Decision Model Based on Improved DeepLabV3+ by Lixing Liu, Pengfei Wang, Jianping Li, Hongjie Liu, Xin Yang

“…The experimental results demonstrate that the improved DeepLabV3+ model exhibits good performance, providing a method for designing automatic line switching control systems for track-type mowers in orchard environments.…”
Get full text

Methods of Communication for the Purpose of Political Marketing and Campaigns in the Kurdistan Region of Iraq A Descriptive Study by Mohammedali Yaseen Taha, Aryana Ibrahim Mohammed

“…Each country has its own political system which leads to various forms of political communication to directly and indirectly reach to the public and influence their decision making. Political parties employ the best tangible methods due to their access in their respective political atmosphere in order to influence the voters in favor of their political agenda. …”
Get full text

Convolutional Neural Network-Based Low Light Image Enhancement Method by M.X. Li, C.J. Xu

“…In this study, a new remote sensing image recognition model is proposed by combining the filtering algorithm to reconstruct the time series curve, fusing the quadratic difference method and decision tree, and introducing the morphological similarity distance method. …”
Get full text

A High-Precision Method for Evaluating the Similarity of Maritime Vessel Trajectories by Ran Ji, Mengkai Ma, Jian Dong, Sen Wang

“…This is done by analyzing discrepancies between GPS-derived trajectories and actual vessel paths, while identifying critical limitations in existing evaluation methods. To address these challenges, we propose a robust framework that integrates three core innovations: firstly, a linear feature accuracy-constrained resampling method to ensure computational precision under diverse complexity conditions, validated through experimental verification; secondly, a shape feature extraction and transformation protocol designed to maintain consistency across multi-scale and heterogeneous operational scenarios; thirdly, a quantitative similarity evaluation criterion based on extracted shape characteristics, enabling systematic alignment between localized trajectory segments and historical navigation patterns. …”
Get full text

Multi-view adversarial attack defending method for host intrusion detection by WANG Fei, QIAN Kehan, LYU Mingqi, ZHU Tiantian, CHEN Honglong

“…The fundamental principle of this method was predicated upon three tenets. Firstly, structural and behavioural views were constructed through the fusion of multi-dimensional features, thereby circumventing the limitations imposed by a single perspective. …”
Get full text

A Novel Method for Diagnosing Heart Diseases Based on Internet of Things by Samir Paul

“…The architecture includes three phases: data collection from sensors, decision-making via the fuzzy logic controller on the Arduino platform, and real-time communication of results to medical teams. …”
Get full text

Creation of the MaaS readiness index with a modified AHP-ISM method by Attila Aba, Domokos Esztergár-Kiss

Get full text

An Improved Fuzzy Trajectory Clustering Method for Exploring Urban Travel Patterns by Fang Liu, Wei Bi, Wei Hao, Fan Gao, Jinjun Tang

“…Exploring urban travel patterns can analyze the mobility regularity of residents to provide guidance for urban traffic planning and emergency decision. Clustering methods have been widely applied to explore the hidden information from large-scale trajectory data on travel patterns exploring. …”
Get full text

A Novel Ensemble Classifier Selection Method for Software Defect Prediction by Xin Dong, Jie Wang, Yan Liang

“…The experimental results demonstrate that the DFD ensemble learning-based software defect prediction model outperforms the ten other models, including five common machine learning (ML) classification algorithms (logistic regression (LR), naïve Bayes (NB), K-nearest neighbor (KNN), decision tree (DT), and support vector machine (SVM)), two deep learning (DL) algorithms (multi-layer perceptron (MLP) and convolutional neural network (CNN)), and three ensemble learning algorithms (random forest (RF), extreme gradient boosting (XGB), and stacking). …”
Get full text

The Pathology of Insistence on Indirect Disclosure of Operating Cash Flows by Esmail Farzaneh Kargar, Mehdi Bahar Moghadam

“…This study examines the gap between investors' and financial managers' views on the presentation of operating cash flows. The method used is three separate surveys conducted through structured questionnaires on random samples of private investors (384 people), financial managers (201 people), and auditors (265 people). …”
Get full text