Recent Advances in Multi-Agent Reinforcement Learning for Intelligent Automation and Control of Water Environment Systems by Lei Jia, Yan Pei

“…This work aims to provide a theoretical foundation and key insights for advancing research and practical applications of MARL-based intelligent control in water infrastructure systems.…”
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Context-Aware Adaptive Encryption: Integrating Sensitive Data Detection and Network intrusion detection for Dynamic Data Security and Encryption by Leonardo C. Lawrence, Ramin Giovanni, Cynthia Calongne, Abdullah Alshboul

“…The proposed system employs deep learning models to identify sensitive information and machine learning algorithms to monitor network activity for potential intrusions. …”
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SpeakerNet for Cross-lingual Text-Independent Speaker Verification by Hafsa HABIB, Huma TAUSEEF, Muhammad Abuzar FAHIEM, Saima FARHAN, Ghousia USMAN

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A Non-Stochastic Special Model of Risk Based on Radon Transform by Marcin Makowski, Edward W. Piotrowski

“…The concept of risk is fundamental in various scientific fields, including physics, biology and engineering, and is crucial for the study of complex systems, especially financial markets. In our research, we introduce a novel risk model that has a natural transactional–financial interpretation. …”
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Hybrid intelligent watermark System by Fardos Abdalkader, Shahbaa Khaleel, Nada Saleem

“…The method indicates hiding the watermark in both spatial and frequency domains using Artificial Intelligent techniques, such as neural networks and genetic algorithms by dividing the watermark depending on the important information contents. …”
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Reviewing Breakthroughs and Limitations of Implantable and External Medical Device Treatments for Spinal Cord Injury by Tooba Wallana, Konstantinos Banitsas, Wamadeva Balachandran

“…Future advancements should work on implementing wireless data logging with AI algorithms to increase SCI device adaptability, as well as maintaining regulatory and health system integration.…”
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Mechanisms for Secure Access to Data of Scientometric Systems Using Virtual DBMS by Alexander Kozitsin, Maxim Zanchurin

“…The paper discusses several algorithms for identifying hidden links between scientific publications, journals, and conferences using statistical analysis to process bibliographic data. …”
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Methods for Calculating the Resistance of Grounding Devices with Backfilling Special Compositions by Drako Mikhail, Pavlovich Ivan, Baraishuk Siarhei

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A Data-Driven Model for the Energy and Economic Assessment of Building Renovations by Giuseppe Piras, Francesco Muzi, Zahra Ziran

“…However, defining effective and economically sustainable interventions remains a challenge, partly due to the variability of building characteristics and the lack of digital tools to support data-driven decision making. This research aims to identify the main factors influencing the energy consumption of buildings by analyzing a large database of building characteristics using machine learning algorithms. …”
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Deep Learning-Based Dzongkha Handwritten Digit Classification by Yonten Jamtsho, Pema Yangden, Sonam Wangmo, Nima Dema

“…With the advancement in deep learning technology, many machine learning algorithms were developed to tackle the problem of pattern recognition. …”
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Use of Transpulmonary Thermodilution-based Volumetric Monitoring During Cardiosurgical Interventions by M. Yu. Kirov, A. I. Lenkin, V. V. Kuzkov

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A fact-checking tool based on Artificial Intelligence to fight disinformation on Telegram by Francisco-Javier Cantón-Correa, Lucia Ballesteros-Aguayo, Andrés Montoro-Montarroso

“…The findings reveal lines of future research, including the adaptation of the tool for other platforms and the integration of new features. …”
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METHOD FOR SOLVING ILL-POSED PROBLEMS FOR DIFFERENTIAL EQUATIONS WITH APPROXIMATELY GIVEN FUNCTIONS BASED ON THE REPRESENTATION OF THE SOLUTION OF INTEGRAL EQUATIONS by Igor' Eduardovich Naats, Victoria Igorevna Naats, Roman Andreyevich Ryskalenko

“…This is due to the relevance of the research. To obtain the approximate solution of this problem requires construction of appropriate regularization algorithms based on the methods of the theory of functional analysis and ill-posed problems. …”
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New Step in Lightweight Medical Image Encryption and Authenticity by Saleem Alsaraireh, Ashraf Ahmad, Yousef AbuHour

“…Data security is critical, particularly in medical imaging, yet remains challenging. Many research efforts have focused on enhancing medical image security, particularly during network transmission. …”
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Fruit Detection Methods Based on Deep Learning in Agricultural Planting: A Systematic Literature Review by Xinyu Gong, Qiufeng Wu

“…Based on a comprehensive analysis of existing research, we classify deep learning-based fruit detection models into four application scenarios: few-shot detection (addressing limited data availability and high annotation costs), complex scene detection (resolving issues arising from object occlusion, overlapping, and variable illumination), small-target detection (improving performance on low-resolution and densely clustered objects), and real-time detection (designing lightweight algorithms for faster inference). …”
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Establishing strength prediction models for low-carbon rubberized cementitious mortar using advanced AI tools by Fu Limei, Xu Feng

“…Among the tested algorithms, including bagging, gradient boosting, and AdaBoost, the bagging model achieved the highest accuracy (R 2 = 0.975). …”
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Integrating AI-generated content tools in higher education: a comparative analysis of interdisciplinary learning outcomes by Zhang Yan, Tang Qianjun

“…This research contributes to educational theory by proposing a revised framework for AI-human collaboration in knowledge production. …”
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Università italiana, docenti e ChatGPT. La zona grigia tra pratiche lavorative e immaginari by Giovanni Ciofalo, Marco Pedroni, Francesca Setiffi

“…The article aims to analyze the results of an exploratory research study conducted in 2023 with Italian academics (N = 64) regarding their work practices and imaginaries related to artificial intelligence, focusing on ChatGPT. …”
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Linguistic insights into high-quality content for SEO: Optimizing high-quality content with Grice's conversational maxims by Fatma Sezer Çırakoğlu, Özgün Koşaner

“…Central to this effort is the creation and maintenance of high-quality content that satisfies search engine algorithms and engages the intended audience. However, creating high-quality content is inherently challenging due to its subjective and multifaceted nature. …”
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Machine learning modeling for predicting adherence to physical activity guideline by Ju-Pil Choe, Seungbak Lee, Minsoo Kang

“…Variables were categorized into demographic, anthropometric, and lifestyle categories. 18 prediction models were created by 6 ML algorithms and evaluated via accuracy, F1 score, and area under the curve (AUC). …”
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