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Articles de revues sur le sujet « Automated Dependency Analysis »

Auteur : Grafiati

Publié le 2 juin 2025

Mis à jour le 31 juillet 2025

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1

Gräßler, I., C. Oleff, M. Hieb, and D. Preuß. "Automated Requirement Dependency Analysis for Complex Technical Systems." Proceedings of the Design Society 2 (May 2022): 1865–74. http://dx.doi.org/10.1017/pds.2022.189.

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AbstractRequirements changes are a leading cause for project failures. Due to propagation effects, change management requires dependency analysis. Existing approaches have shortcomings regarding ability to process large requirement sets, availability of required data, differentiation of propagation behavior and consideration of higher order dependencies. This paper introduces a new method for advanced requirement dependency analysis based on machine learning. Evaluation proves applicability and high performance by means of a case example, 4 development projects and 3 workshops with industry ex

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Knoche, Holger, André van Hoorn, Wolfgang Goerigk, and Wilhelm Hasselbring. "Automated Source-Level Instrumentation for Dynamic Dependency Analysis of COBOL Systems." Softwaretechnik-Trends 32, no. 2 (2012): 45–46. http://dx.doi.org/10.1007/bf03323473.

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Botoeva, Elena, Panagiotis Kouvaros, Jan Kronqvist, Alessio Lomuscio, and Ruth Misener. "Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (2020): 3291–99. http://dx.doi.org/10.1609/aaai.v34i04.5729.

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We introduce an efficient method for the verification of ReLU-based feed-forward neural networks. We derive an automated procedure that exploits dependency relations between the ReLU nodes, thereby pruning the search tree that needs to be considered by MILP-based formulations of the verification problem. We augment the resulting algorithm with methods for input domain splitting and symbolic interval propagation. We present Venus, the resulting verification toolkit, and evaluate it on the ACAS collision avoidance networks and models trained on the MNIST and CIFAR-10 datasets. The experimental r

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Tkachenko, Olha, and Mykyta Rusakov. "Some Aspects of Automated Implementation of Dependencies in PHP Language." Digital Platform: Information Technologies in Sociocultural Sphere 4, no. 2 (2021): 228–40. https://doi.org/10.31866/2617-796X.4.2.2021.247488.

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The purpose of the article is to research, analyze and consider the general problems and prospects of using the principle of implementing dependencies in the development of web applications in the PHP language. Research methods are methods of semantic analysis of the basic concepts of this subject area (web technologies and web applications). The article considers the existing approaches to control inversion based on the use of the dependency implementation template. The novelty of the research is to solve the control inversion problems based on a template when designing web app

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Tkachenko, Olha, and Mykyta Rusakov. "Some Aspects of Automated Implementation of Dependencies in PHP Language." Digital Platform: Information Technologies in Sociocultural Sphere 4, no. 2 (2021): 228–40. http://dx.doi.org/10.31866/2617-796x.4.2.2021.247488.

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The purpose of the article is to research, analyze and consider the general problems and prospects of using the principle of implementing dependencies in the development of web applications in the PHP language. Research methods are methods of semantic analysis of the basic concepts of this subject area (web technologies and web applications). The article considers the existing approaches to control inversion based on the use of the dependency implementation template. The novelty of the research is to solve the control inversion problems based on a template when designing web applications. The

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Piao, Shunshan, Jeongmin Park, and Eunseok Lee. "Problem localization using probabilistic dependency analysis for automated system management in ubiquitous computing." Internet Research 19, no. 2 (2009): 136–52. http://dx.doi.org/10.1108/10662240910952319.

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Alaya, Ines Ben, and Mokhtar Mars. "Automatic Analysis of ACR Phantom Images in MRI." Current Medical Imaging Formerly Current Medical Imaging Reviews 16, no. 7 (2020): 892–901. http://dx.doi.org/10.2174/1573405615666190903145343.

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Background: Quality Assurance (QA) of Magnetic Resonance Imaging (MRI) system is an essential step to avoid problems in diagnosis when image quality is low. It is considered a patient safety issue. The accreditation program of the American College of Radiology (ACR) includes a standardized image quality measurement protocol. However, it has been shown that human testing by visual inspection is not objective and not reproducible. Methods: The overall goal of the present paper was to develop and implement a fully automated method for accurate image analysis to increase its objectivity. It can po

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Frydman, Maxime, Guifré Ruiz, Elisa Heymann, Eduardo César, and Barton P. Miller. "Automating Risk Analysis of Software Design Models." Scientific World Journal 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/805856.

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The growth of the internet and networked systems has exposed software to an increased amount of security threats. One of the responses from software developers to these threats is the introduction of security activities in the software development lifecycle. This paper describes an approach to reduce the need for costly human expertise to perform risk analysis in software, which is common in secure development methodologies, by automating threat modeling. Reducing the dependency on security experts aims at reducing the cost of secure development by allowing non-security-aware developers to app

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Roy, Nelson, Alqhazo Mazin, and Shaheen N. Awan. "Automated acoustic analysis of task dependency in adductor spasmodic dysphonia versus muscle tension dysphonia." Laryngoscope 124, no. 3 (2013): 718–24. http://dx.doi.org/10.1002/lary.24362.

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Budiandru, Zakkiandri, and Basyiruddin Nur. "Unveiling the Potential of Computer-Based Audit Strategies: A Comparative Study between Conventional and Automated Approaches." Account and Financial Management Journal 08, no. 08 (2023): 3191–96. https://doi.org/10.5281/zenodo.8275078.

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Abstract This research compares the conventional audit approach with the automated audit approach in the context of computer-based audit strategies. A comparative quantitative method was employed, using surveys and interviews as data collection techniques. The majority of respondents (68%) preferred the automated audit approach, indicating a significant preference. The analysis revealed that the automated audit approach can reduce dependency on human resources. The independent samples t-test confirmed significant differences between the two audit methods in terms of efficiency and effectivenes

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Campbell, A., P. Murray, E. Yakushina, et al. "Automated analysis of platelet microstructures using a feature length orientation space." Journal of Materials Science 57, no. 2 (2022): 1448–61. http://dx.doi.org/10.1007/s10853-021-06630-6.

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AbstractThe ability to measure elongated structures such as platelets and colonies, is an important step in the microstructural analysis of many materials. Widely used techniques and standards require extensive manual interaction making them slow, laborious, difficult to repeat and prone to human error. Automated approaches have been proposed but often fail when analysing complex microstructures. This paper addresses these challenges by proposing a new, automated image analysis technique, to reliably assess platelet microstructure. Tools from Mathematical Morphology are designed to probe the i

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Ren, Xiaolei, and Qiping Wei. "Sligpt: A Large Language Model-Based Approach for Data Dependency Analysis on Solidity Smart Contracts." Software 3, no. 3 (2024): 345–67. http://dx.doi.org/10.3390/software3030018.

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The advent of blockchain technology has revolutionized various sectors by providing transparency, immutability, and automation. Central to this revolution are smart contracts, which facilitate trustless and automated transactions across diverse domains. However, the proliferation of smart contracts has exposed significant security vulnerabilities, necessitating advanced analysis techniques. Data dependency analysis is a critical program analysis method used to enhance the testing and security of smart contracts. This paper introduces Sligpt, an innovative methodology that integrates a large la

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Zhou, Bo, Jiaqi Shi, Ying Wang, et al. "Porting Software Libraries to OpenHarmony: Transitioning from TypeScript or JavaScript to ArkTS." Proceedings of the ACM on Software Engineering 2, ISSTA (2025): 1445–66. https://doi.org/10.1145/3728941.

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OpenHarmony emerges as a potent force in the mobile app domain, poised to stand alongside established industry giants. ArkTS is its main language, enhancing TypeScript (TS) and JavaScript (JS) with strict typing for improved performance. Developers are encouraged to port popular TS/JS libraries to OpenHarmony, supported by detailed guidelines. However, this requires a deep understanding of ArkTS syntax, following porting specifications, and making manual changes. An automated solution is crucial to streamline this process and foster a robust software ecosystem. As a new programming language, A

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Alekseev, Danil N., and Renat M. Khamitov. "ANALYSIS AND MINIMIZATION OF THE RISKS OF HARMFUL DEPENDENCIES IN THE PROCESS OF CONTINUOUS INTEGRATION AND IMPLEMENTATION OF SOFTWARE CODE." International Journal of Advanced Studies 14, no. 3 (2024): 100–116. http://dx.doi.org/10.12731/2227-930x-2024-14-3-297.

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Continuous integration and continuous deployment (CI/CD) processes have become essential elements of modern software development, enabling automation and optimization of work processes. However, these processes come with risks associated with vulnerabilities in the dependency chain, which can lead to serious consequences such as unauthorized access and data leakage. The article discusses the need to implement reliable mechanisms for detecting and mitigating dependency risks to improve the reliability of CI/CD. The main risk in CI/CD processes is the exploitation of malicious dependencies used

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Bowers, Rita, Giulia Grazia, Jason Maraman, Vashti Lacaille, and Nicole Weit. "A Fully Automated, Walkaway Flow Cytometry Workflow for Immune Cell Subsets Identification." Journal of Immunology 212, no. 1_Supplement (2024): 0860_7977. http://dx.doi.org/10.4049/jimmunol.212.supp.0860.7977.

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Abstract In the fast-paced competitive landscape of life science research, the adoption of an automated workflow offers the advantages of improved data reproducibility and increased throughput with less operator dependency, contributing to robust and efficient research studies. We present here an automated flow cytometry workflow using a fully integrated system comprising a Biomek i7 Multichannel Workstation, a CytoFLEX LX flow cytometer, DURA Innovations dry reagents and automated data analysis using the Cytobank platform. In our study, a DURAClone T cell subset dry reagent panel in a 96-well

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Zulunov, Ravshanbek Mamatovich. "Security tools in a continuous integration/continuous deployment pipeline." Research and implementation 2, no. 12 (2024): 237–44. https://doi.org/10.5281/zenodo.14557311.

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Integrating a vulnerability database into a Continuous Integration / Continuous Deployment (CI/CD) pipeline is essential for enhancing the security posture of software development processes. This integration allows for automated identification and remediation of known vulnerabilities in applications and their dependencies. The process involves selecting a suitable vulnerability database, configuring API access, and embedding API calls within the CI/CD workflow to check for vulnerabilities at various stages of development. Additionally, it encompasses the analysis of vulnerability data, automat

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Shrivastava, R. K., and Neha Sharma. "Performance Analysis of Solar Health Monitoring by Spider Monkey Optimization (SMO)." International Journal of Research in Science and Technology 15, no. 1 (2025): 50–58. https://doi.org/10.37648/ijrst.v15i01.003.

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In real life, human dependency on electricity is increasing regularly. Research focuses on increasing the energy efficiency of renewable resources such as solar and wind energy. As India is situated within the solar belt region, Solar electricity can act as a great solution for the electricity demand in the urban and rural areas of the developing countries such as India. In the proposed research, we submit an automated health monitoring model for photovoltaic (PV) solar cells utilizing Spider Monkey Optimization (SMO) method. The fission-fusion food search behavior of spider monkeys served as

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Grigoryan, Areg, Armine Avetisyan, Tatevik Melkonyan, and Karine Yenokyan. "Automated Modeling of an Electromagnet with Magnetorheological Fluid." Engineering, Technology & Applied Science Research 15, no. 3 (2025): 22937–44. https://doi.org/10.48084/etasr.10909.

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This article presents an automated system for the design, analysis, and optimization of Electromagnetic Systems (EMSs) using Magnetorheological (MR) fluids. The system integrates MATLAB with the Finite Element Method Magnetics (FEMM) environment to solve both direct and inverse design problems, optimize parameters, and visualize results through graphical and tabular representations. Featuring a user-friendly graphical interface, the system simplifies the design process by allowing engineers to select materials, input parameters, and generate dependency graphs for various device characteristics

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SERGIUS D, ROFINA. "AI-Powered Project Management and Reporting System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42174.

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Project management is a critical aspect of any organization, requiring efficient tracking of tasks, milestones, and team collaboration. Traditional project management systems often lack automation in reporting and data analysis. This paper presents an AI-powered Project Management and Reporting System that integrates MySQL for structured data storage, utilizes the LLM for AI-based report generation, and employs Python-docx for professional document creation. The system automates the generation of structured reports, enhances project tracking, and facilitates efficient communication among stake

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Zou, Guobing, Yixin Chen, You Xu, Ruoyun Huang, and Yang Xiang. "Towards Automated Choreographing of Web Services Using Planning." Proceedings of the AAAI Conference on Artificial Intelligence 26, no. 1 (2021): 178–84. http://dx.doi.org/10.1609/aaai.v26i1.8101.

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For Web service composition, choreography has recently received great attention and demonstrated a few key advantages over orchestration such as distributed control, fairness, data efficiency, and scalability. Automated design of choreography plans, especially distributed plans for multiple roles, is more complex and has not been studied before. Existing work requires manual generation assisted by model checking. In this paper, we propose a novel planning-based approach that can automatically convert a given composition task to a distributed choreography specification. Although planning has be

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Gräßler, Iris, Christian Oleff, and Daniel Preuß. "Proactive Management of Requirement Changes in the Development of Complex Technical Systems." Applied Sciences 12, no. 4 (2022): 1874. http://dx.doi.org/10.3390/app12041874.

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Requirement changes and cascading effects of change propagation are major sources of inefficiencies in product development and increase the risk of project failure. Proactive change management of requirement changes yields the potential to handle such changes efficiently. A systematic approach is required for proactive change management to assess and reduce the risk of a requirement change with appropriate effort in industrial application. Within the paper at hand, a novel method for Proactive Management of Requirement Changes (ProMaRC) is presented. It is developed in close collaboration with

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Darchuk, Natalia. "Constructions with parataxis and homogeneous parts in poetical text." Ukrainian Linguistics, no. 50 (2020): 10–29. http://dx.doi.org/10.17721/um/50(2020).10-29.

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The work considers peculiarities in conducting of automated syntactic analysis (ASA) on basis of poetical texts and as result studying the features of linear structure of Ukrainian texts, in particular, texts with constructions with parataxis and homogeneous parts. The process of text analysis includes two stages: the first stage starts with automated syntactic analysis of hierarchical structure of text, which finally builds a dependency tree. On the second stage the graph received as result of automated analysis specifies information on type or model of a sentence, in particular, with availab

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Meyer, Oliver, Eric Johnson, and Jacob Brown. "A Unified Framework for Anomaly Detection and Root Cause Analysis in Microservice Systems." Computer Life 13, no. 2 (2025): 7–11. https://doi.org/10.54097/1gw77589.

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Modern software applications increasingly rely on microservice architectures for scalability, flexibility, and rapid deployment. However, this architectural paradigm introduces new complexities in monitoring system behavior, identifying anomalies, and determining their root causes across distributed services. Existing solutions often address anomaly detection and root cause analysis (RCA) in isolation, leading to fragmented insights and delayed resolution. This paper proposes a unified framework that integrates real-time anomaly detection with automated RCA using machine learning and graph-bas

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V. P. Kharkar, Dr. "Fully Automated Solar Grass Cutter." International Scientific Journal of Engineering and Management 04, no. 04 (2025): 1–7. https://doi.org/10.55041/isjem02903.

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ABSTRACT— The paper demonstrates an analysis of a solar-powered grass cutter system which combines renewable technologies with automated features and remote control to resolve operational expenses and environmental damage and reduce labor requirement when maintaining turf. The equipment collects solar power from a high-performance solar panel before the stored energy gets saved in a rechargeable lithium battery which drives the BLDC motor for accurate grass trimming. An L298N motor driver together with an HC-05 Bluetooth module controls the movement of four DC gear motors through smartphone ap

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FANIFOSI, Johnson O., Wasiu O. ADEDEJI, Seun OYELAMI, et al. "THE DEVELOPMENT OF A DUAL POWERED AUTOMATED TYRE INFLATOR: A REVIEW." OAUSTECH Journal of Engineering and Intelligent Technology 1, no. 1 (2025): 217–27. https://doi.org/10.36108/ojeit/5202.10.0132.

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Emergence of dual-powered automated tyre inflators marks a transformative shift in vehicle maintenance, offering a versatile and sustainable solution for tyre inflation. This review critically examines the evolution, design principles, and operational efficiency of hybrid-powered (electric and manual) automated inflators, focusing on their ability to combine convenience with environmental responsibility. The study investigates key technological components, including intelligent pressure sensors, automated shut-off mechanisms, and energy-efficient power systems, which enhance accuracy and user

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Vlasenko, A. Yu, M. A. Michurov, V. D. Tsarev, and M. A. Kurbatov. "Constructing a Complex for Automated Debugging of Fragmented Programs." Vestnik NSU. Series: Information Technologies 22, no. 1 (2024): 5–20. http://dx.doi.org/10.25205/1818-7900-2024-22-1-5-20.

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The paper is devoted to the authors’ tools for automated debugging of fragmented programs in the LuNA (Language for Numerical Algorithms) system. The LuNA system uses approach of fragmented programming, which allows the researcher to design parallel programs in an automated mode.The main problem discussed in the paper is the detection of errors specific to LuNA programs. The operation algorithms of four developed tools for automated debugging of LuNA programs are described. Three of them are based on the static analysis approach and differ in the intermediate representations used. The first us

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Sadji Evenddy, Sutrisno. "Investigating AI's Automated Feedback in English Language Learning." FLIP Foreign Language Instruction Probe 3, no. 1 (2024): 76–87. http://dx.doi.org/10.54213/flip.v3i1.401.

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This literature review examines the role of artificial intelligence (AI) in enhancing feedback mechanisms within English language learning, emphasizing the integration of AI technologies such as Natural Language Processing (NLP), Machine Learning (ML), and speech recognition to provide real-time, personalized feedback. The purpose of this review is to synthesize existing research findings on the effectiveness of AI-driven feedback in improving language skills such as grammar, vocabulary, and pronunciation, while also assessing learner engagement and retention rates. A thorough methodology invo

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Kredel, Simone, Michael Wolff, Silke Hobbie, Michael Bieler, Peter Gierschik, and Ralf Heilker. "High-Content Analysis of CCR2 Antagonists on Human Primary Monocytes." Journal of Biomolecular Screening 16, no. 7 (2011): 683–93. http://dx.doi.org/10.1177/1087057111406884.

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The monocyte chemoattractant protein 1 (MCP-1)–driven activation of CC-type chemokine receptor 2 (CCR2) is one of the early key events to induce monocyte migration toward centers of inflammation. In this work, the authors analyzed MCP-1 internalization into primary human monocytes using partially automated liquid handling, automated fluorescence microscopic imaging, and a specific image analysis algorithm. A fluorophore-conjugated form of MCP-1 was rapidly endocytosed and retained by the monocytes. The CCR2 dependency of the MCP-1 internalization was demonstrated by the use of BMS CCR2 22, a C

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Bharadwaj, S., R. Dubey, M. I. Zafar, and S. Biswas. "RASTER DATA BASED AUTOMATED NOISE DATA INTEGRATION FOR NOISE MAPPING LIMITING DATA DEPENDENCY." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2021 (June 30, 2021): 159–66. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2021-159-2021.

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Abstract. Noise has become a recurrent problem worldwide. Road traffic noise studies in India are fewer and restricted only to the metropolitan areas. These studies focused on recording, monitoring, analysis, modelling, and mapping. The major concern is with the onsite collection of vehicular noise data from road sites. Road traffic noise maps have been generated by using traditional techniques that involve the collection of road traffic noise by experts. There are negligible studies in the area of automated noise generation for road traffic noise. In this paper, the study examines the problem

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Haidl, Harald, Christina Cimenti, Bettina Leschnik, Doris Zach, and Wolfgang Muntean. "Age-dependency of thrombin generation measured by means of calibrated automated thrombography (CAT)." Thrombosis and Haemostasis 95, no. 05 (2006): 772–75. http://dx.doi.org/10.1160/th05-10-0685.

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SummaryMany coagulation parameters, such as PT or aPTT, show age-dependency. In this study we investigated if the generation of thrombin, possibly better reflecting overall haemostasis, shows an age-dependency.Thrombin generation was measured in platelet poor plasma of 121 children and 86 adults at different ages by means of calibrated automated thrombography (CAT). Correlation analysis shows that endogenous thrombin potential (ETP) (r= 0.702),lag time (r = - 0.266),peak (r = 0.533) and time to peak (r = - 0.214) are significantly correlated with age (p < 0.01).’Younger’ (age limit 35 years

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Zhang, Dianmu, and Blake Hannaford. "IKBT: Solving Symbolic Inverse Kinematics with Behavior Tree." Journal of Artificial Intelligence Research 65 (July 28, 2019): 457–86. http://dx.doi.org/10.1613/jair.1.11592.

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Inverse kinematics solves the problem of how to control robot arm joints to achieve desired end effector positions, which is critical to any robot arm design and implementations of control algorithms. It is a common misunderstanding that closed-form inverse kinematics analysis is solved. Popular software and algorithms, such as gradient descent or any multi-variant equations solving algorithm, claims solving inverse kinematics but only on the numerical level. While the numerical inverse kinematics solutions are relatively straightforward to obtain, these methods often fail, due to dependency o

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Yu, Zhengmin, Yuan Zhang, Ming Wen, Yinan Nie, Wenhui Zhang, and Min Yang. "CXXCrafter: An LLM-Based Agent for Automated C/C++ Open Source Software Building." Proceedings of the ACM on Software Engineering 2, FSE (2025): 2618–40. https://doi.org/10.1145/3729386.

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Project building is pivotal to support various program analysis tasks, such as generating intermediate representation code for static analysis and preparing binary code for vulnerability reproduction. However, automating the building process for C/C++ projects is a highly complex endeavor, involving tremendous technical challenges, such as intricate dependency management, diverse build systems, varied toolchains, and multifaceted error handling mechanisms. Consequently, building C/C++ projects often proves to be difficult in practice, hindering the progress of downstream applications. Unfortun

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de Kock, N., V. Rautenbach, and I. Fabris-Rotelli. "TOWARDS AN OPEN SOURCE PYTHON LIBRARY FOR AUTOMATED EXPLORATORY SPATIAL DATA ANALYSIS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2022 (June 1, 2022): 91–98. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2022-91-2022.

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Abstract. The exploratory spatial data analysis (ESDA) process refers to the use of various functions to gain an initial understanding of a spatial dataset. These include measures of spatial heterogeneity and spatial autocorrelation. Currently, the ESDA process is repetitive and time-consuming. Additionally, while different results arise for different datasets, how these results are generated does not change significantly. Results are also generated individually for each variable which means that they cannot be easily compared or shared.The automation of the ESDA process would therefore have m

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Rashid, Ekbal, and Nikos Mastorakis. "Monotonic and Linear Relations between Growth of Quality vs Growth in Quantity in Open-Source Software Projects." WSEAS TRANSACTIONS ON COMPUTERS 23 (April 8, 2024): 41–50. http://dx.doi.org/10.37394/23205.2024.23.4.

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Mathematical models have been developed to study the relation between the growth of quantity and the growth of quality of open-source collaborative software repositories of GitHub. GitHub events triggering the growth of quantity and quality have been identified. Linear regression analysis, Pearson’s, Spearman’s, and Kendall’s correlation coefficients have been used. Hypothesis testing has led to the conclusion that there may be a linear relation between quality and quantity within a certain range of values. Positive monotonic relations and dependency between quantity and quality have been stro

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Kumar, Sanjay, Jane Suiter, and Luca Longo. "Advancing Deliberative Discourse Measurement: The Intersection with Computational Abstract Argumentation in Discourse Quality Evaluations." Systems 13, no. 3 (2025): 204. https://doi.org/10.3390/systems13030204.

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This research investigates the potential of computational argumentation, specifically the application of the Abstract Argumentation Framework (AAF), to enhance the evaluation of deliberative quality in public discourse. It focuses on integrating AAF and its related semantics with the Discourse Quality Index (DQI), which is a reputable indicator of deliberative quality. The motivation is to overcome the DQI’s constraints using the AAF’s formal and logical features by addressing dependency on hand coding and attention to specific speech acts. This is done by exploring how the AAF can identify co

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Darchuk, Nataliia. "AGAT-Syntax as component of computer-based Ukrainian grammar." Ukrainska mova, no. 4 (2020): 82–102. http://dx.doi.org/10.15407/ukrmova2020.04.089.

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Abstract: The article describes functional features of the syntactic module of computer-based Ukrainian grammar AGAT. This is a linguistic type of computer-aided syntactic analysis, which provides full information about syntactic units and categories, in particular, predicativity, coordinate and subordinate clauses, the categories of subject and predicate etc. The developed linguistic software provides syntactic analysis of a whole sentence in the form of a dependency tree and indicates the types of syntactic relations and links. The AGAT-syntax task is to identify all varieties of compatibili

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Zhang, Zekun, Bing Li, Jian Wang, and Yongqiang Liu. "An Approach of Automated Anomalous Microservice Ranking in Cloud-Native Environments." International Journal of Software Engineering and Knowledge Engineering 31, no. 11n12 (2021): 1661–81. http://dx.doi.org/10.1142/s0218194021400167.

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In recent years, more and more developers have been building applications based on the cloud-native architecture. Container and microservice are two essential components in the cloud-native architecture. Container technologies like Docker and Kubernetes can help developers achieve a consistent and scalable delivery for complex software applications. On the other hand, microservice technologies can facilitate the division of complex applications into multiple functionality-independent and composable components, which further increases the flexibility of applications. With the support of cloud c

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Snitko, S. A., A. V. Yakovchenko, V. V. Pilipenko, and N. I. Ivleva. "Modeling of ring billets rolling on radial-axial ring-rolling mill." Izvestiya. Ferrous Metallurgy 63, no. 8 (2020): 665–73. http://dx.doi.org/10.17073/0368-0797-2020-8-665-673.

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On the basis of radial-axial rolling of ring billets, resource-saving technologies for metal forming have been created. Determining the rational parameters of this process is the actual scientific and technical task at development of new profiles. The method of three-dimensional finite element modeling is the most effective tool for improving the technological conditions of ring rolling process. However, as practice has shown, the finite element modeling method requires adaptation to each process of metal forming. This is the subject of the present work. The expediency of using dependency for

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Meyer, M., Ingo Pfeffer, and Carsten Jürgens. "Automated Detection of Field Monuments in Digital Terrain Models of Westphalia Using OBIA." Geosciences 9, no. 3 (2019): 109. http://dx.doi.org/10.3390/geosciences9030109.

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While Light Detection and Ranging (LiDAR) revolutionized archaeological prospection and different visualizations were developed, an automated detection of cultural heritage still poses a significant challenge. Therefore, geographers and archaeologists from Westphalia, Germany are developing automated workflows for classifying field monuments from special terrain models. For this project, a combination of GIS, Python, and Object-Based Image Analysis (OBIA) is used. It focuses on three common types of monuments: Ridge and Furrow areas, Burial Mounds, and Motte-and-Bailey castles. The latter two

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Baldán, Francisco J., Diego García-Gil, and Carlos Fernandez-Basso. "Revolutionizing Sperm Analysis with AI: A Review of Computer-Aided Sperm Analysis Systems." Computation 13, no. 6 (2025): 132. https://doi.org/10.3390/computation13060132.

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Advances in artificial intelligence (AI) are transforming assisted reproductive technologies by significantly enhancing fertility diagnostics. This review focuses on integrating AI with Computer-Aided Sperm Analysis (CASA) systems to improve assessments of sperm motility, morphology, and DNA integrity. By employing a spectrum of techniques, from classic machine learning (ML), often valued for its interpretability and efficiency with structured data, to deep learning (DL), which excels at extracting intricate features directly from image and video data, the field now achieves more accurate, aut

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C, Banupriya. "AI-Powered Smart Traffic Management System." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47454.

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ABSTRACT Urban traffic congestion and rule violations remain significant challenges for modern cities. This paper proposes an AI-Powered Smart Traffic Management System that integrates real-time video analysis, intelligent violation detection, license plate recognition, and automated challan issuance through Telegram. The system uses computer vision and machine learning algorithms to identify traffic violations such as over-speeding, helmet non-compliance, seatbelt negligence, and red-light jumping. License Plate Recognition (LPR) is used to identify the vehicle, and an automated challan is se

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Mattis, Ina, Giuseppe D'Amico, Holger Baars, Aldo Amodeo, Fabio Madonna, and Marco Iarlori. "EARLINET Single Calculus Chain – technical – Part 2: Calculation of optical products." Atmospheric Measurement Techniques 9, no. 7 (2016): 3009–29. http://dx.doi.org/10.5194/amt-9-3009-2016.

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Abstract. In this paper we present the automated software tool ELDA (EARLINET Lidar Data Analyzer) for the retrieval of profiles of optical particle properties from lidar signals. This tool is one of the calculus modules of the EARLINET Single Calculus Chain (SCC) which allows for the analysis of the data of many different lidar systems of EARLINET in an automated, unsupervised way. ELDA delivers profiles of particle extinction coefficients from Raman signals as well as profiles of particle backscatter coefficients from combinations of Raman and elastic signals or from elastic signals only. Th

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Baig, Ammad, Ryan M. Hess, Briana Santo, et al. "122 Use of Automated Active and Continuous CSF Irrigation and Drainage for Treatment of Intraventricular Hemorrhage a Retrospective Comparative Study With Volumetric Analysis." Neurosurgery 70, Supplement_1 (2024): 24–25. http://dx.doi.org/10.1227/neu.0000000000002809_122.

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INTRODUCTION: Intraventricular hemorrhage (IVH) is a common neurosurgical pathological conditon that can occur in isolation or along with intraparenchymal and subarachnoid hemorrhage and is associated with poor outcome. Hydrocephalus associated with IVH is often treated with external ventricular drain (EVD) placement, although occlusion and replacement of the drain are common. METHODS: A prospectively maintained database was retrospectively searched for consecutive patients who presented with IVH between September 2020 and Febuary 2023 who were treated with an EVD or the IRRAflow. Pretreatment

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Sangita M. Jaybhaye. "Fortifying Codebases: Secure Code Generation and Vulnerability Assessment with LLMs." Journal of Information Systems Engineering and Management 10, no. 40s (2025): 923–36. https://doi.org/10.52783/jisem.v10i40s.7541.

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Android apps are essential to contemporary existence, driving mission-critical industries such as government, finance, and healthcare. Yet, their prevalence exposes them to security risks, and their exposure to vulnerabilities represents serious threats to confidential data and mission-critical services. Identification and elimination of these vulnerabilities at the development stage are important since remediation after deployment is expensive and more difficult. Static analysis provides a proactive solution by analyzing code for vulnerabilities without running it, allowing developers to dete

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Kakaraparthy, Aarati, and Jignesh M. Patel. "SplitDF: Splitting Dataframes for Memory-Efficient Data Analysis." Proceedings of the VLDB Endowment 17, no. 9 (2024): 2175–84. http://dx.doi.org/10.14778/3665844.3665849.

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Dataframe is a popular construct in data analysis libraries that offers a tabular view of the data. However, data within a dataframe often has redundancy, which can lead to high memory utilization of data analysis libraries. Inspired by the process of normalization in relational database systems, we propose a technique called splitting that can be applied to tabular data to reduce redundancy. Splitting involves performing lossless join decomposition by explicitly adding joining keys, and unlike normalization, splitting can be applied to tabular data without the need to perform functional depen

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Rahimunnisa, K., Atchaiya M., Brindhhiniy Arunachalam, and V. Divyaa. "AI-based smart and intelligent wheelchair." Journal of Applied Research and Technology 18, no. 6 (2020): 362–67. http://dx.doi.org/10.22201/icat.24486736e.2020.18.6.1351.

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The differently abled and/or old-aged people require assistance for their movement. Generally, such assistant providing tool is wheelchair. Normal wheelchairs are manually operated and heavy to move adding burden to the suffered. Hence, automated wheelchairs that are equipped with sensors and a data processing unit constitute a special class of wheeled mobile robots, termed as “smart wheelchairs” in general. In the existing system, the wheelchair movement that is controlled by joystick uses buttons to start and stop the wheel. This is difficult for the differently abled to press the required b

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Seyyed Zair Husain Rizvi. "Design and Analysis of an ML-Based Model for Protected Health Information Governance." Journal of Information Systems Engineering and Management 10, no. 39s (2025): 346–59. https://doi.org/10.52783/jisem.v10i39s.7165.

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Purpose & Objective: With the increasing digitization of healthcare data, ensuring the privacy, security, and compliance of Protected Health Information has become a critical challenge. This paper presents a Machine Learning (ML)-based governance algorithms designed to enhance the protection of data by identifying vulnerabilities, detecting anomalies, and ensuring regulatory compliance. The objective is to develop an intelligent, adaptable, and automated system that strengthens healthcare data governance while minimizing risks associated with unauthorized access and data breaches. Methodol

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Weber, J., and J. Schlimbach. "Stamp forming of partially consolidated CF/PEEK tape preforms produced in a high-speed automated tape laying process." Polymers and Polymer Composites 31 (April 29, 2023): 096739112311680. http://dx.doi.org/10.1177/09673911231168046.

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To achieve short cycle times, CF/PEEK tape preforms are laid up quickly in ATL, thus tape preforms are only partially consolidated. Different gas volume flows are set to vary the energy input during tape laying at 1 m/s. The tape preforms are characterized by means of thickness measurements, microsection analysis, peel-test, compression thermal analysis and flexural test to assess the degree of consolidation. Subsequently to ATL, tape preforms are processed in stamp forming at different pressure settings in a rapid-closing downstroke press. The resulting laminates are analyzed to assess the in

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Wang, Dejiang, and Haojie Lu. "Development of a BIM Platform for the Design of Single-Story Steel Structure Factories." Buildings 14, no. 3 (2024): 747. http://dx.doi.org/10.3390/buildings14030747.

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Traditional design methods for single-story steel structure factories are characterized by low levels of digitalization and high error rates. To deal with these problems, a building information modeling (BIM) platform for the design of single-story steel structure factories was developed in this paper, which aimed to improve the design process for such structures. Firstly, the components of the factory were categorized, and the Revit API was employed to automate the generation of the BIM model. Load applications and combinations were then established using the Revit API, which relied on a set

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Daniel-Durandt, Francisca Muriel, and Arnold Johan Rix. "Automating Quality Control of Irradiance Data with a Comprehensive Analysis for Southern Africa." Solar 3, no. 4 (2023): 596–617. http://dx.doi.org/10.3390/solar3040032.

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A review of quality control for large irradiance datasets is applied as a case study for the Southern African Universities Radiometric Network (SAURAN) database. The quality control procedure is automated and applied to 24 stations from the database with a total of 848,189 hourly datapoints. From this, the individual station’s data quality is also analysed. The assessment validates the automated methodology without the need for a user-based review of the data. The SAURAN database can play a significant role in advancing solar and wind energy; however, the number of offline stations hinders thi

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