Impact of a crop insurance mechanism on credit obtained by smallholders: evidence from “Proagro Mais” in Paraná by Carlos Oñate-Paredes, Vitor Augusto Ozaki

“… Abstract This research analyzes a public compulsory crop-credit public insurance program, Proagro Mais, which is one of the largest agricultural risk management programs in Brazil and is also focused on smallholder producers. …”
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Artificial Intelligence in Recordkeeping by Sigit Sumarsono, Muhamad Prabu Wibowo

“…The models employed range from probabilistic and regression-based algorithms to decision tree classifiers, reflecting diverse but largely traditional methodological approaches. …”
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Legal Analysis of AI-Generated Creations: Copyright Law Perspectives by Praja Chrisna Bagus Edhita, Hakim Hary Abdul, Basri, Kurniaty Yulia, Sari Elvira Purnama

“…This study uses qualitative research methods with the approach of legislation and concepts. …”
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Comparative Assessment of Several Effective Machine Learning Classification Methods for Maternal Health Risk by Md Nurul Raihen, Sultana Akter

“…The purpose of this research is to use machine learning techniques to estimate the level of intensity of maternal health concerns by employing a classification strategy in the risk factor analysis. …”
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System of information interactions in enterprise controlling by A. R. Khachemizov, V. I. Zarubin

“…A system-modular approach has been used as a methodological basis of the research. Theoretical and methodological basis of the study has been formed on the basis of fundamental works of domestic and foreign scientists in the field of the theory of management of industrial enterprises; controlling theories; scientific concepts of the formation of the structural-functional model of organizational controlling; methods, models and algorithms for accounting for the influence of various factors on achieving the goals of an enterprise, making managerial decisions based on monitoring the activities of enterprises. …”
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Global Navigation Satellite System Meta-Signals with an Arbitrary Number of Components by Daniele Borio

“…Global Navigation Satellite System (GNSS) meta-signals are obtained when components from different frequencies are jointly processed as a single entity. While most research work has focused on GNSS meta-signals made of two side-band components, meta-signal theory has been recently extended to the case where the number of components is a power of two. …”
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OPTIMIZATION OF TEACHING METHODS IN SPORTS CLASSES WITH STUDENTS WITH VISUAL IMPAIRMENTS by Mariana Albert, Evald Albert

“…The motivation for conducting the present research is the creation of kinesitherapeutic algorithms adapted to visually impaired student so that they can achieve greater autonomy and activity in motor skills during sports classes. …”
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Ensemble Techniques for Robust Fake News Detection: Integrating Transformers, Natural Language Processing, and Machine Learning by Mohammed Al-alshaqi, Danda B. Rawat, Chunmei Liu

“…For textual data, the Random Forest classifier achieved 99% accuracy, outperforming other algorithms. The multimodal approach showed superior performance compared to baseline models, with a 3.1% accuracy improvement over existing multimodal techniques. …”
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Evaluating GDPR right to information implementation in automated insurance decisions by Jakobi Timo, Arslan Salih, Harms Patrick

“…Automated decision-making algorithms are increasingly prevalent in consumer-facing industries, particularly in insurance risk assessments. …”
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Systematic mapping study of tools to identify emotions and personality traits by Amanul Islam, Nurul Fazmidar Mohd Noor, Siti Soraya Abdul Rahman

“…This work provides a foundation for future research and practical applications in emotion and personality identification.…”
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AI-Enabled Smart Irrigation for Climate-Resilient Agriculture by Khan Roohee, Sharma Pooja

“…Luckily, traditional irrigation methods have limitations in terms of addressing these challenges in the manner they require. Among others, this research proposes and develops an AI enabled smart irrigation system meant to improve climate resilience of agriculture. …”
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An Overview of the Empirical Evaluation of Explainable AI (XAI): A Comprehensive Guideline for User-Centered Evaluation in XAI by Sidra Naveed, Gunnar Stevens, Dean Robin-Kern

“…This review aims to guide researchers and practitioners in conducting effective empirical user-centered evaluations by analyzing several studies; categorizing their objectives, scope, and evaluation metrics; and offering an orientation map for research design and metric measurement.…”
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Slicing Cuts on Food Materials Using Robotic-Controlled Razor Blade by Debao Zhou, Gary McMurray

“…To answer these questions, this research developed a mathematical expression of the cutting stress tensor. …”
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Concept Drift Detection in Data Stream Mining : A literature review by Supriya Agrahari, Anil Kumar Singh

“…Eventually, the article suggests research trends, research challenges, and future work. …”
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Successive Cohorts of Twitter Users Show Increasing Activity and Shrinking Content Horizons by Frederik Wolf, Sune Lehmann, Philipp Lorenz-Spreen

“… The global public sphere has changed dramatically over the past decades: A significant part of public discourse now takes place on algorithmically driven platforms. Despite its growing importance, there is scant large-scale academic research on the long-term evolution of user behaviour on these platforms. …”
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A Bibliometric Analysis of Publications on Surveillance and New Media Concepts in The Web of Science Database by Anıl Durmuşahmet

“…The study aims to identify both the density and the gaps in current research, while also offering guidance for future scholarly work. …”
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Image Enhancement Techniques for Images at Blur Motion and Different Noises by Sahlah Ali

“…So it is one of the research titles of interest to the researchers. The images get degraded due to environmental conditions and atmospheric difference, it is therefore important to retrieve original images using different algorithms of image processing. …”
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Contributions to the Development of Tetrahedral Mobile Robots with Omnidirectional Locomotion Units by Anca-Corina Simerean, Mihai Olimpiu Tătar

“…Finally, future research directions are discussed, which include refining control algorithms, miniaturizing the robot, improving structural performance by integrating shock-absorbing dampers, and integrating lighting systems and video cameras.…”
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A Comprehensive Analysis of Fake News Detection Models: A Systematic Literature Review and Current Challenges by Alok Mishra, Halima Sadia

“…Despite the existing research in this area, there is a need for more empirical and rigorous investigation into the inconsistencies reported in reviews. …”
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Early Warning Systems for Plant Diseases in delta regions: Machine Learning Approaches by Biswas Debarghya, Sharma Priti

“…It is important to detect plant diseases early and manage to prevent substantial losses of crop and food security. This research paper explores early warning systems for plant diseases in delta regions through using the machine learning. …”
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