Log in

Relevant bibliographies by topics / MLflow / Journal articles

To see the other types of publications on this topic, follow the link: MLflow.

Journal articles on the topic 'MLflow'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'MLflow.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Ravi, Shankar Koppula. "Databricks MLflow." Journal of Scientific and Engineering Research 8, no. 11 (2021): 134–45. https://doi.org/10.5281/zenodo.11232369.

Full text

Abstract:

This paper examines MLflow, an open-source platform specifically designed to simplify the management of the machine learning lifecycle. It covers various aspects, such as experiment tracking, code packaging, and sharing and deployment of models. The paper focuses on the integration of MLflow with Databricks, emphasizing how this collaboration enhances automatic experiment tracking and provides easier access to data and models. This integration ultimately leads to more efficient and reproducible machine learning workflows. The paper thoroughly explores the four main components of MLflow: MLflow

APA, Harvard, Vancouver, ISO, and other styles

2

Satyanarayana Murthy Polisetty. "Leveraging Databricks Pipelines for Machine Learning Model Deployment and Monitoring." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 5 (2024): 1051–56. https://doi.org/10.32628/cseit241061256.

Full text

Abstract:

This article explores the use of Databricks pipelines for deploying and monitoring machine learning models efficiently. Databricks provides a scalable and collaborative environment that integrates seamlessly with MLflow for tracking and managing the machine learning lifecycle. The study examines the various stages of machine learning pipeline development, including automated data preprocessing, model training, hyperparameter optimization, and deployment. Additionally, it highlights the significance of continuous monitoring through Databricks’ built-in metrics and logging features, ensuring rea

APA, Harvard, Vancouver, ISO, and other styles

3

Stan, Ioan-Mihail, Siarhei Padolski, and Christopher Jon Lee. "Exploring the self-service model to visualize the results of the ATLAS Machine Learning analysis jobs in BigPanDA with Openshift OKD3." EPJ Web of Conferences 251 (2021): 02009. http://dx.doi.org/10.1051/epjconf/202125102009.

Full text

Abstract:

A large scientific computing infrastructure must offer versatility to host any kind of experiment that can lead to innovative ideas. The ATLAS experiment offers wide access possibilities to perform intelligent algorithms and analyze the massive amount of data produced in the Large Hadron Collider at CERN. The BigPanDA monitoring is a component of the PanDA (Production ANd Distributed Analysis) system, and its main role is to monitor the entire lifecycle of a job/task running in the ATLAS Distributed Computing infrastructure. Because many scientific experiments now rely upon Machine Learning al

APA, Harvard, Vancouver, ISO, and other styles

4

Nihar, Malali. "DATABRICKS LAKE HOUSE ARCHITECTURE FOR ACTUARIAL FORECASTING: SIMPLIFYING DATA PIPELINES FOR REAL TIME ACTUARIAL COMPUTATIONS." International Journal of Engineering Technology Research & Management (IJETRM) 05, no. 05 (2021): 176–82. https://doi.org/10.5281/zenodo.15239233.

Full text

Abstract:

Recent changes in the actuarial industry make flowing data from sources to destinations using traditional methodsunworkable. Databricks Lakehouse architecture combines data warehousing and data lake elements to create an easierfaster way to do actuarial forecasting. This research demonstrates how Lakehouse technology boosts data pipelinespeed which lets actuaries work with their data faster. Insurers and actuaries can develop reliable real-time actuarialsystems through their teamwork using Delta Lake plus Apache Spark and MLflow. Our research shows the specifictechnical features of Lakehouse a

APA, Harvard, Vancouver, ISO, and other styles

5

Zaharia, Matei. "Designing production-friendly machine learning." Proceedings of the VLDB Endowment 14, no. 13 (2021): 3420. http://dx.doi.org/10.14778/3484224.3484241.

Full text

Abstract:

Building production ML applications is difficult because of their resource cost and complex failure modes. I will discuss these challenges from two perspectives: the Stanford DAWN Lab and experience with large-scale commercial ML users at Databricks. I will then present two emerging ideas to help address these challenges. The first is "ML platforms", an emerging class of software systems that standardize the interfaces used in ML applications to make them easier to build and maintain. I will give a few examples, including the open-source MLflow system from Databricks [3]. The second idea is mo

APA, Harvard, Vancouver, ISO, and other styles

6

NISHANTH JOSEPH PAULRAJ. "ML-driven data engineering pipeline for health informatics." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 765–73. https://doi.org/10.30574/wjaets.2025.15.2.0629.

Full text

Abstract:

This article presents a comprehensive framework for implementing machine learning-driven data engineering pipelines in healthcare informatics. Healthcare data presents unique challenges including high dimensionality, heterogeneity across sources, missing values, temporal dependencies, and strict privacy requirements. To address these challenges, we propose a four-layer architecture comprising data ingestion, data processing, ML modeling, and model management components. The pipeline leverages Apache Spark and Delta Lake for robust data processing, modern ML frameworks for predictive modeling,

APA, Harvard, Vancouver, ISO, and other styles

7

Егоркин, А. В. "Разработка и анализ методики отбора инфраструктурных метрик для предиктивного мониторинга инцидентов". Международный научный журнал "Современные информационные технологии и ИТ-образование" 21, № 1 (2025): 36–45. https://doi.org/10.25559/sitito.021.202501.36-45.

Full text

Abstract:

Рост объёма телеметрии в распределённых ИТ-системах приводит к «информационному шуму» и увеличивает вычислительные затраты AIOps-платформ. В работе предложена формализованная двухэтапная процедура отбора метрик, предназначенная для повышения точности и эффективности предиктивного мониторинга: (1) мультикритериальный корреляционный фильтр, использующий коэффициенты Пирсона (|r| > 0,60), τ-Кендалла (> 0,50) и Maximal Information Coefficient (MICe > 0,35) для отсева избыточных и нелинейно связанных признаков; (2) верификация причинно-следственных связей с помощью теста Грейнджера (lag =

APA, Harvard, Vancouver, ISO, and other styles

8

Bodor, Anas, Meriem Hnida, and Najima Daoudi. "Integration of web scraping, fine-tuning, and data enrichment in a continuous monitoring context via large language model operations." International Journal of Electrical and Computer Engineering (IJECE) 15, no. 1 (2025): 1027. http://dx.doi.org/10.11591/ijece.v15i1.pp1027-1037.

Full text

Abstract:

This paper presents and discusses a framework that leverages large-scale language models (LLMs) for data enrichment and continuous monitoring emphasizing its essential role in optimizing the performance of deployed models. It introduces a comprehensive large language model operations (LLMOps) methodology based on continuous monitoring and continuous improvement of the data, the primary determinant of the model, in order to optimize the prediction of a given phenomenon. To this end, first we examine the use of real-time web scraping using tools such as Kafka and Spark Streaming for data acquisi

APA, Harvard, Vancouver, ISO, and other styles

9

Anjan, V. Hema Krishna. "“Customer Churn Prediction Using Pyspark with AI - Driven Insights”." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem49946.

Full text

Abstract:

Abstract - This research will forecast customer churn in the telecom industry with the help of PySpark, machine learning algorithms, and AI-powered Insights within the Azure Databricks Platform. The aim is to create a scalable and accurate model that can forecast customers as likely to churn or retain based on past behavior and demographic factors. Random Forest is chosen due to its interpretability and accuracy, and its performance is compared with Logistic Regression, SVM, and XGBoost models on precision, recall, F1-score, and ROC-AUC. Data preprocessing, feature engineering, and exploratory

APA, Harvard, Vancouver, ISO, and other styles

10

Bodor, Anas, Meriem Hnida, and Najima Daoudi. "Integration of web scraping, fine-tuning, and data enrichment in a continuous monitoring context via large language model operations." International Journal of Electrical and Computer Engineering (IJECE) 15, no. 1 (2025): 1027–37. https://doi.org/10.11591/ijece.v15i1.pp1027-1037.

Full text

Abstract:

This paper presents and discusses a framework that leverages large-scale language models (LLMs) for data enrichment and continuous monitoring emphasizing its essential role in optimizing the performance of deployed models. It introduces a comprehensive large language model operations (LLMOps) methodology based on continuous monitoring and continuous improvement of the data, the primary determinant of the model, in order to optimize the prediction of a given phenomenon. To this end, first we examine the use of real-time web scraping using tools such as Kafka a

APA, Harvard, Vancouver, ISO, and other styles

11

Sukender Reddy Mallreddy. "CREATE SOLUTIONS FOR VERSIONING AND MANAGING DATASETS USED IN AI AND ML." International Journal for Research Publication and Seminar 15, no. 3 (2024): 551–62. http://dx.doi.org/10.36676/jrps.v15.i3.1546.

Full text

Abstract:

It is also essential to correctly version and manage datasets to make them easily recognizable, traceable, and sharable throughout the various stages of AI & ML model development. Notably, there are many solutions to dataset versioning and management, with the best one touching on existing machine learning pipelines, highlighted by tools like DVC and MLflow, in this paper. To achieve this, the study provides simulation reports on using these tools in the current dynamic data environments, including healthcare, finance, and e-commerce, requiring robust version control mechanisms to counter

APA, Harvard, Vancouver, ISO, and other styles

12

Sukender Reddy Mallreddy. "CREATE SOLUTIONS FOR VERSIONING AND MANAGING DATASETS USED IN AI AND ML." International Journal for Research Publication and Seminar 12, no. 2 (2021): 551–62. http://dx.doi.org/10.36676/jrps.v12.i2.1546.

Full text

Abstract:

It is also essential to correctly version and manage datasets to make them easily recognizable, traceable, and sharable throughout the various stages of AI & ML model development. Notably, there are many solutions to dataset versioning and management, with the best one touching on existing machine learning pipelines, highlighted by tools like DVC and MLflow, in this paper. To achieve this, the study provides simulation reports on using these tools in the current dynamic data environments, including healthcare, finance, and e-commerce, requiring robust version control mechanisms to counter

APA, Harvard, Vancouver, ISO, and other styles

13

Amaniampong, Adjei, and Solomon Oyelere. "Systematic Literature Review on Pedagogies and Visualization Tools for Machine Learning in K-12 Schools." International Journal of Studies in Education and Science 5, no. 3 (2024): 195–222. http://dx.doi.org/10.46328/ijses.93.

Full text

Abstract:

Though studies have been done on Machine Learning, almost all the studies focused on higher educational institutions, with little attention to K-12 educational settings. Those studies that focused on K-12 are scattered, making it difficult to specifically know which visualization tools best enhance Machine Learning in K-12 schools. This study, therefore, through a systematic literature review determines which visualization tools best promote Machine Learning in K-12 schools. The study specifically considered, barriers to the use of Machine Learning in K-12 schools, visualization tools for Mach

APA, Harvard, Vancouver, ISO, and other styles

14

Mohan Raja Pulicharla. "Detecting and addressing model drift: Automated monitoring and real-time retraining in ML pipelines." World Journal of Advanced Research and Reviews 3, no. 2 (2019): 147–52. https://doi.org/10.30574/wjarr.2019.3.2.0189.

Full text

Abstract:

As machine learning (ML) models transition from development to deployment, their performance can degrade over time due to changes in underlying data distributions, a phenomenon known as model drift. If left unaddressed, model drift can lead to inaccurate predictions, biased outcomes, and poor business decisions. To mitigate this risk, automated model monitoring and real-time retraining are essential in modern ML pipelines. Model drift can manifest in several forms, including concept drift, where the relationship between features and labels changes; covariate shift, where the distribution of in

APA, Harvard, Vancouver, ISO, and other styles

15

Pina, Débora, Liliane Kunstmann, Adriane Chapman, Daniel de Oliveira, and Marta Mattoso. "DLProv: a suite of provenance services for deep learning workflow analyses." PeerJ Computer Science 11 (July 1, 2025): e2985. https://doi.org/10.7717/peerj-cs.2985.

Full text

Abstract:

Deep learning (DL) workflows consist of multiple interdependent and repetitive steps, including data preparation, model training, evaluation, and deployment. Each step involves decisions impacting the final model’s performance, interpretability, and applicability. These models rely on data, preprocessing operations, and configuration, underscoring the need for mechanisms to ease the analysis throughout the entire life cycle—from model generation and selection to deployment. Moreover, ensuring trust, reproducibility, and transparency becomes important as DL models transition into production env

APA, Harvard, Vancouver, ISO, and other styles

16

Mohan Raja Pulicharla. "Automating machine learning pipelines with Kubeflow and Tensorflow extended (TFX)." World Journal of Advanced Research and Reviews 2, no. 1 (2019): 092–97. https://doi.org/10.30574/wjarr.2019.2.1.0128.

Full text

Abstract:

Machine learning (ML) pipelines are crucial for managing the end-to-end workflow of ML models, from data ingestion and preprocessing to training, evaluation, and deployment. However, traditional ML pipelines are often manually managed, making them prone to inefficiencies, inconsistencies, and difficulties in scaling. To address these challenges, Kubeflow and TensorFlow Extended (TFX) have emerged as leading open-source frameworks designed to automate ML workflows efficiently in cloud-native environments. Kubeflow is a Kubernetes-native machine learning platform that streamlines the deployment

APA, Harvard, Vancouver, ISO, and other styles

17

Rachapalli, Sai Kalyani. "End-to-End Automation of Machine Learning Workflows: Bridging MLOps and DevOps for Enterprise AI." International Scientific Journal of Engineering and Management 01, no. 04 (2022): 1–8. https://doi.org/10.55041/isjem00119.

Full text

Abstract:

Abstract-The growing dependence on artificial intelligence (AI) and machine learning (ML) systems by businesses has brought about a crucial necessity for more scalable, efficient, and reliable machine learning lifecycle management. Conventional machine learning processes are cumbersome, involving extensive manual intervention in data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring. The manual treatment brings about bottlenecks, elevates operational costs, and leaves systems vulnerable to errors and inconsistencies. As a result, businesses are turning

APA, Harvard, Vancouver, ISO, and other styles

18

Li, Jinliang, Weibo Ren, and Xibin Wang. "Joint Location–Allocation Model for Multi-Level Maintenance Service Network in Agriculture." Applied Sciences 13, no. 18 (2023): 10167. http://dx.doi.org/10.3390/app131810167.

Full text

Abstract:

The maintenance service network is always designed as a multi-level service network to provide timely maintenance service for failed machinery, and is rarely studied in agriculture. Thus, this paper focuses on a three-level maintenance service network location–allocation problem in agriculture, which contains several spare part centres, service stations, and service units. This research aims to obtain the optimal location of spare part centres and service stations while determining service vehicle allocation results for service stations, and the problem can be called a multi-level facility loc

APA, Harvard, Vancouver, ISO, and other styles

19

TORBATI, Ali, and Önsen TOYGAR. "MASKED AND UNMASKED FACE RECOGNITION ON UNCONSTRAINED FACIAL IMAGES USING HAND-CRAFTED METHODS." Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi 26, Özel Sayı (2023): 1133–39. http://dx.doi.org/10.17780/ksujes.1339868.

Full text

Abstract:

In this study, the face recognition task is applied on masked and unmasked faces using hand-crafted methods. Due to COVID-19 and masks, facial identification from unconstrained images became a hot topic. To avoid COVID-19, most people use masks outside. In many cases, typical facial recognition technology is useless. The majority of contemporary advanced face recognition methods are based on deep learning, which primarily relies on a huge number of training examples, however, masked face recognition may be investigated using hand-crafted approaches at a lower computing cost than using deep lea

APA, Harvard, Vancouver, ISO, and other styles

20

Shweta, A. Mishra a. *. Dr. Ashlesha J. Chauhan b. "ANALYTICAL METHOD DEVELOPMENT AND VALIDATION FOR THE SIMULTANEOUS ESTIMATION OF RELATED IMPURITIES OF ASPIRIN AND PRASUGREL HYDROCHLORIDE IN ITS DOSAGE FORM BY RP-HPLC." Journal of Pharma Research 8, no. 8 (2019): 535–43. https://doi.org/10.5281/zenodo.3374077.

Full text

Abstract:

<strong><em>ABSTRACT</em></strong> <strong><em>Objective:</em></strong><em> A simple, economic, selective and precise RP-HPLC method has been developed and validated for the estimation of related impurities of Aspirin and Prasugrel Hydrochloride in combined dosage form.</em> <strong><em>Methods:</em></strong><em> A gradient reverse phase high performance liquid chromatography (RP-HPLC) analysis was performed on Hypersil BDS C18 column (250mm X 4.6mm, 5µm) using mobile phase A: 0.05M Ammonium acetate buffer pH-3.0 and mobile phase B: Acetonitrile at a flow rate of 1.0 ml/min and detection

APA, Harvard, Vancouver, ISO, and other styles

21

Kuo, Hsin-Hui, and Shuo-Fu Hong. "Nanographene-Based Saturable Absorbers for Ultrafast Fiber Lasers." Journal of Nanomaterials 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/631928.

Full text

Abstract:

The generation of femtosecond pulse laser in the erbium-doped fiber laser system is presented by integrating of the nanographene-based saturable absorbers (SAs). A simplified method of dispersed nanographene-based SAs side-polished fiber device with controllable polished length and depth was also developed. The dependence of geometry of a graphene-deposited side-polished fiber device on optical nonlinear characteristics and on the performance of the MLFL was screened. We found that the 10 mm polished length with 1.68 dB insertion loss had the highest modulation depth (MD) of 1.2%. A stable MLF

APA, Harvard, Vancouver, ISO, and other styles

22

Wang, Ching Kuo. "Biomimically Leg-Kinematics on Walking Robots." Applied Mechanics and Materials 300-301 (February 2013): 353–56. http://dx.doi.org/10.4028/www.scientific.net/amm.300-301.353.

Full text

Abstract:

This paper proposes a multi-link algorithm to analyze the walking stability of a self-fabricated, full-size, biomimic, android robot. The stepping trajectory is prescribed and navigated along a horizontal plane without slipping motions and variable center of gravity. However, it may encounter different circumstances for less number of LDOF. Traditionally, walking equilibrium can be assured based on the stabilizable conditions of the dynamic structure of 5-7 leg-degrees of freedom (LDOF). Various kinks of the walking structure are analyzed with the loading effects of the upper-body on the robot

APA, Harvard, Vancouver, ISO, and other styles

23

Mohammad Amir Khan, Ahmed Rimaz Faizabadi, Muhammad Mahabubur Rashid, and Hasan Firdous Zaki. "Performance Evaluation of State-of-The-Art 2D Face Recognition Algorithms on Real and Synthetic Masked Face Datasets." Journal of Advanced Research in Applied Sciences and Engineering Technology 30, no. 2 (2023): 225–42. http://dx.doi.org/10.37934/araset.30.2.225242.

Full text

Abstract:

Face recognition systems based on Convolutional neural networks have recorded unprecedented performance for multiple benchmark face datasets. Due to the Covid-19 outbreak, people are now compelled to wear face masks to reduce the virus's transmissibility. Recent research shows that when given the masked face recognition scenario, which imposes up to 70% occlusion of the face area, the performance of the FR algorithms degrades by a significant margin. This paper presents an experimental evaluation of a subset of the MFD-Kaggle and Masked-LFW (MLFW) datasets to explore the effects of face mask o

APA, Harvard, Vancouver, ISO, and other styles

24

Syari, Dina Maya, Rosidah Rosidah, Poppy Anjelisa Zaitun Hasibuan, Ginda Haro, and Denny Satria. "Evaluation of Cytotoxic Activity Alkaloid Fractions of Zanthoxylum acanthopodium DC. Fruits." Open Access Macedonian Journal of Medical Sciences 7, no. 22 (2019): 3745–47. http://dx.doi.org/10.3889/oamjms.2019.495.

Full text

Abstract:

AIM: This study was carried out to investigate cytotoxic activity towards T47D, 4T1, MCF-7, HeLa, and Raji cells of alkaloid fractions of Zanthoxylum acanthopodium DC. fruits. Zanthoxylum acanthopodium DC. METHODS: The fruit was extracted by maceration. The ethanol extract was fractionated with liquid-liquid extraction using n-hexane, chloroform at pH 3,7, and 9 to obtained alkaloid fractions. Cytotoxic activity for fraction chloroform at pH 7 and 9 was determined with MTT assay. RESULTS: The IC50 of fraction chloroform at pH 7 and 9 was (92.67 ± 1.37; 71.87 ± 1.04; 159.87 ± 0.63;

APA, Harvard, Vancouver, ISO, and other styles

25

Zhou, Mengran, Shuai Shao, Xu Wang, Ziwei Zhu, and Feng Hu. "Deep Learning-Based Non-Intrusive Commercial Load Monitoring." Sensors 22, no. 14 (2022): 5250. http://dx.doi.org/10.3390/s22145250.

Full text

Abstract:

Commercial load is an essential demand-side resource. Monitoring commercial loads helps not only commercial customers understand their energy usage to improve energy efficiency but also helps electric utilities develop demand-side management strategies to ensure stable operation of the power system. However, existing non-intrusive methods cannot monitor multiple commercial loads simultaneously and do not consider the high correlation and severe imbalance among commercial loads. Therefore, this paper proposes a deep learning-based non-intrusive commercial load monitoring method to solve these p

APA, Harvard, Vancouver, ISO, and other styles

26

Zainal, Israa. "Inhibition of human serum peroxidasein patients with thalassemiaby fournewly synthesizedsulfonamide derivatives." Al-Mustansiriyah Journal of Science 29, no. 4 (2019): 58. http://dx.doi.org/10.23851/mjs.v29i4.466.

Full text

Abstract:

This study was aimed to determine the in vitro effects of four newly synthesized sulfonamide derivatives(Sulfacetamid ,Sulfanilamid, sulfadiazine, sulphamethoxazole)on human serum peroxidase activity in patients with thalassemia compared to healthy subjects.Total protein,the peroxidase activity was increased non – significantly(p≥ 0.0001) and the specific activity of the enzyme was increased significantly(p≤ 0.0001) in the sera of patients with thalassemia compared to healthy subjects and the results revealed that all used compoundscaused (moderate to good) inhibitory effecton the peroxidase a

APA, Harvard, Vancouver, ISO, and other styles

27

El-Alamin, Maha Mahmoud Abou, Maha Abd Elrahman Sultan, Maha Hegazy, Alastair William Wark, and Marwa Mohamed Azab. "Pure component contribution (PCCA) and synergy interval partial least squares (siPLS) algorithms for efficient resolution and quantification of overlapped signals; an application to novel antiviral tablets of daclatasvir, sofosbuvir and ribavirin." European Journal of Chemistry 10, no. 4 (2019): 350–57. http://dx.doi.org/10.5155/eurjchem.10.4.350-357.1899.

Full text

Abstract:

Daclatasvir (DAC), sofosbuvir (SOF) and ribavirin (RIB) have been recently co-formulated in tablet dosage form for the treatment of Hepatitis C virus infections. In this work, the resolution and quantitation of overlapped spectral signals was achieved by both univariate and multivariate algorithms. Pure component contribution algorithm (PCCA) as a novel approach was applied along with factor based partial least squares (PLS) algorithms using both full range and synergistic intervals (siPLS). Each drug could be determined at its λmax using PCCA, while PLS and siPLS were used for multivariate de

APA, Harvard, Vancouver, ISO, and other styles

28

Ganesan, M., S. Nanjundan, S. Viswanathan, and G. Uma. "Liquid Chromatography/Tandem Mass Spectrometry for the Simultaneous Determination of Ursodiol and its Major Metabolites, Tauroursodeoxycholic Acid and Glycoursodeoxycholic Acid in Human Plasma." E-Journal of Chemistry 9, no. 3 (2012): 1605–12. http://dx.doi.org/10.1155/2012/181672.

Full text

Abstract:

A rapid and sensitive method is described for the quantification of ursodiol and its major metabolites glycoursodeoxycholic acid (GUDCA) and tauroursodeoxycholic acid (TUDCA) in human plasma using single internal standard (Ursodeoxycholic Acid d4). Solid phase extraction was performed and chromatographic separation of 5µL injected sample was achieved using Waters Xterra, 5µm column with a mobile phase comprised of methanol and 5 mM ammonium formate with 0.1 % acetic acid ( 70 : 30, v/v ). The mass spectrometer was used in negative ion mode and multiple reactions monitoring using electro spray

APA, Harvard, Vancouver, ISO, and other styles

29

Dev, Shrabanti, Anha Afrin Shefa, Archana Mandal, et al. "Evaluation of antioxidant and chemopreventive effect of Cocos nucifera L." Jahangirnagar University Journal of Biological Sciences 6, no. 2 (2018): 47–58. http://dx.doi.org/10.3329/jujbs.v6i2.36590.

Full text

Abstract:

This study revealed the antioxidant and anticancer activities of the ethanolic extract of the tender fruits of Cocos nucifera. In antioxidant screening, IC50 value was found to be 7.71μg/mlfor ascorbic acid and44.67 μg/ml for C. nucifera fruits. The phenolic content, total flavonoid and total tannin content were 537.89 mg GAE/100 gm, 40.69mg of QE/100 gm and 44.61 mg of GAE/100 gm of dry powder of C. nucifera respectively. In DMBA and croton oil-induced skin cancer in model mice,the extract significantly decreased the number, size, yield and burden of tumor when compared with carcinogenic cont

APA, Harvard, Vancouver, ISO, and other styles

30

Liu, Changfeng, and Quanjun Lyu. "Interactions Between Body Iron and Obesity on Type 2 Diabetes in Chinese Adult." Current Developments in Nutrition 4, Supplement_2 (2020): 1440. http://dx.doi.org/10.1093/cdn/nzaa061_068.

Full text

Abstract:

Abstract Objectives Limited information exists regarding the effect of interaction of obesity and body iron stores on type 2 diabetes. The aim of this study is to assess effect modification by obesity on the association between body iron stores and type 2 diabetes in Chinese adult. Methods A total of 8337 adults aged 18 years old or above from CHNS in 2009 were included to investigate the association of TfR-F index and type 2 diabetes. Serum ferritin (SF), transferrin (TfR), soluble transferrin receptor (sTfR), and haemoglobin (Hb) were measured. Type 2 diabetes was defined as fasting glucose

APA, Harvard, Vancouver, ISO, and other styles

31

Ngige, Ngozi M., Pascal C. Aleke, and Philip F. Uzor. "Green Synthesis of Silver Nanoparticles Using the Leaf Extract of Pentaclethra macrophylla: Characterization and Evaluation of Their Antimicrobial Activities." Tropical Journal of Phytochemistry and Pharmaceutical Sciences 3, no. 5 (2024): 298. https://doi.org/10.26538/tjpps/v3i5.1.

Full text

Abstract:

Antimicrobial resistance has become a pervasive medical issue that necessitates immediate attention. Thus, research for better substitutes has become of great importance. Recent studies of the silver nanoparticles (SNP) have demonstrated that they possess promising activities as a bactericidal agent against both Gram-positive and Gram-negative bacteria and also as a fungicidal agent without toxicity to humans. The aim of this current study was determining the antimicrobial property of green synthesized nanoparticles of Pentaclethra macrophylla leaf extract. The plant extract was prepared by de

APA, Harvard, Vancouver, ISO, and other styles

32

Krauß, M., G. Pöhlmann, H. Bär, H. R. Figulla, and G. Grohmann. "Zur Makro- und Mikrozirkulation am Vorfuß unter verschiedenen Kompressionsdrücken bei gesunden Probandinnen." Phlebologie 29, no. 05 (2000): 114–23. http://dx.doi.org/10.1055/s-0037-1617334.

Full text

Abstract:

ZusammenfassungZielstellung und Methoden: Das Ziel dieser Studie bestand in der Untersuchung der Makro- und Mikrozirkulation am Fuß bei Gesunden unter dosierter Kompression des Beines. Die Makro- und Mikrozirkulation wurden mit Doppler-Ultraschall-Knöchelarteriendruck- Messung und Nahe-Infrarot-Rot-Remissions-Photoplethysmographie (NIRP) bzw. mit Laser-Doppler-Flowmetrie (LDF), transkutaner Sauerstoff- (tcpO2) bzw. Kohlendioxidpartialdruckmessung (tcpCO2) und NIRP an 13 weiblichen Probanden, mittleres Alter 33,4 ± 16,8 Jahre, unter Ruhebedingungen vor und nach jeweils 5-minütiger Kompression m

APA, Harvard, Vancouver, ISO, and other styles

33

Mounika V, Mounika V., and Akila Devi. "Development and Validation of an LC-MS/MS Method for the Determination of Lamivudine, Tenofovir & Efavirenz in human plasma." Journal of Neonatal Surgery 14, no. 19S (2025): 851–64. https://doi.org/10.63682/jns.v14i19s.4966.

Full text

Abstract:

Introduction: Therapeutic drug monitoring of Lamivudine, tenofovir and efavirenz, three commonly used antiretroviral drugs, is important to maximize effectiveness while minimizing side effects. Materials and Methods: Chromatographic separation was done on Xterra, C18 (2), 150 X 4.6 mm, 5 µm column with a mobile phase composed of 10mM ammonium formate-methanol-acetonitrile in the ratio of 50:25:25 (v/v/v), at a flow rate of 1.0 mL/min. Turbo ion-spray interface (TIS) operated in positive ionization mode was used for the mass spectrometric detection. The MRM transitions monitored were m/z 230.1/

APA, Harvard, Vancouver, ISO, and other styles

34

Safi, F., V. Kuhns, and H. G. Beger. "Comparison of CA 72-4, CA 19-9 and CEA in the diagnosis and monitoring of gastric cancer." International Journal of Biological Markers 10, no. 2 (1995): 100–106. http://dx.doi.org/10.1177/172460089501000206.

Full text

Abstract:

In order to assess the utility of the tumor-associated antigen CA 72-4 in the diagnosis and monitoring of gastric cancer, this tumor marker was measured preoperatively in 718 patients. This group comprised 282 patients with malignant disease (115 with gastric cancer and 167 with other malig-nancies not involving the stomach) and 476 patients with benign surgical diseases. The results were compared with those for carcinoembryonic antigen (CEA) and the tumor-associated antigen CA 19-9. CA 72-4 was above the normal limit of 2.5 U/ml in 61% of the patients with gastric cancer, in 35% of the patien

APA, Harvard, Vancouver, ISO, and other styles

35

Palamarchuk, Volodymyr, Viktor Smolyar, Oleksandr Tovkay, et al. "THE ROLE OF CALCITONIN IN THE PREOPERATIVE STAGE AS THE PREDICTOR OF MEDULLARY THYROID CANCER METASTASES." Ukrainian Scientific Medical Youth Journal 4, no. 127 (2021): 68–76. http://dx.doi.org/10.32345/usmyj.127(4).2021.68-76.

Full text

Abstract:

the aim of the stydy was to analyze the detectability of medullary thyroid metastases in patients at treat-ment and diagnostic stages, to investigate the applicability of serum calcitonin level as predictor of possible pres-ence of medullary thyroid metastases. The study included data from 148 patients who underwent surgical treatment for the initial diagnosis of medullary thyroid cancer. The age of patients ranged from 12 to 83 years, the mean agewas 48,2±1,9 years; the distribution by gender was as follows: men – 34 (23%), women – 114 (77%). Patients were divided into two groups

APA, Harvard, Vancouver, ISO, and other styles

36

Sherpa, Lincoln, Valentin Khaydarov, and Ralph Müller-pfefferkorn. "FAIRness Along the Machine Learning Lifecycle Using Dataverse in Combination with MLflow." Data Science Journal 23 (2024). https://doi.org/10.5334/dsj-2024-055.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

NOGARE, DIEGO, ISMAR F. SILVEIRA, RENATO BANZAI, and MAÍNA C. ALEXANDRE. "Make or buy strategy for Machine Learning Operations – MLOps." Anais da Academia Brasileira de Ciências 97, no. 2 (2025). https://doi.org/10.1590/0001-3765202520240924.

Full text

Abstract:

Abstract This research addresses the make or buy strategy for Machine Learning Operations (MLOps), exploring the decision between developing internally or purchasing computational solutions for Machine Learning projects. Considering factors such as cost, quality, technical expertise and strategic alignment, organizations face the challenge of balancing product complexity, core competencies and risk management. This research highlights the importance of understanding the needs of each project when analyzing existing offers to solve problems and maintain competitiveness in the market, offering a

APA, Harvard, Vancouver, ISO, and other styles

38

ArunKumar, K. E., Nathan E. Blake, Matthew Walker, et al. "Predicting dry matter intake in cattle at scale using gradient boosting regression techniques and Gaussian process boosting regression with SHAP explainable AI, MLflow and its containerization." Journal of Animal Science, February 13, 2025. https://doi.org/10.1093/jas/skaf041.

Full text

Abstract:

Abstract Dry matter intake (DMI) is a measure critical to managing and evaluating livestock. Methods exist for quantifying individual DMI in dry lot settings that employ expensive intake systems. No methods exist to accurately measure individual DMI of grazing cattle. Accurate prediction of DMI using machine learning (ML) promotes improved production and management efficiency. It also opens the door to empowering producers to validate and verify intakes in order to participate in incentive programs for delivering ecosystem service credits. We explored gradient boosting-based approaches to pred

APA, Harvard, Vancouver, ISO, and other styles

39

Jana, Aryyama Kumar. "The MLOps Approach to Model Deployment: A Road Map to Seamless Scalability." Journal of Artificial Intelligence & Cloud Computing, March 31, 2022, 1–4. http://dx.doi.org/10.47363/jaicc/2022(1)267.

Full text

Abstract:

The operational problems of deploying Machine Learning (ML) models at scale are the focal point of the research, which explores the complex world of MLOps. To determine which operational platforms are most effective in managing deployment pipelines, the research examines MLflow, Kubeflow, and Airflow, among others. Focusing on version management and reproducibility, the article explores methods and resources used to guarantee the longterm viability and traceability of models that have been put into use. This study delves into the incorporation of Continuous Integration and Continuous Deploymen

APA, Harvard, Vancouver, ISO, and other styles

40

Dheerendra Yaganti. "Optimized Deployment of Multi-Objective Machine Learning Models in Azure ML: A Compliance-Driven and Cost-Conscious Pipeline Framework." International Journal of Advanced Research in Science, Communication and Technology, July 30, 2024, 860–66. https://doi.org/10.48175/ijarsct-19200a.

Full text

Abstract:

The growing complexity of enterprise-grade machine learning (ML) applications demands deployment pipelines that balance performance, compliance, and cost-efficiency. This paper presents a novel framework for the optimized deployment of multi-objective ML models using Azure Machine Learning (Azure ML). The proposed system integrates model evaluation metrics such as prediction accuracy, inference latency, and regulatory compliance scoring to enable intelligent deployment decisions. A cost-aware pipeline is constructed using Azure Pipelines, enabling conditional model promotion across development

APA, Harvard, Vancouver, ISO, and other styles

41

Carboni, Eleonora, Heike Marxfeld, Hanati Tuoken, et al. "A Workflow for the Performance of the Differential Ovarian Follicle Count Using Deep Neuronal Networks." Toxicologic Pathology, December 8, 2020, 019262332096913. http://dx.doi.org/10.1177/0192623320969130.

Full text

Abstract:

In order to automate the counting of ovarian follicles required in multigeneration reproductive studies performed in the rat according to Organization for Economic Co-operation and Development guidelines 443 and 416, the application of deep neural networks was tested. The manual evaluation of the differential ovarian follicle count is a tedious and time-consuming task that requires highly trained personnel. In this regard, deep learning outputs provide overlay pictures for a more detailed documentation, together with an increased reproducibility of the counts. To facilitate the planned good la

APA, Harvard, Vancouver, ISO, and other styles

42

ZhangZhou, J., Can He, Jianhao Sun та ін. "Geochemistry π: Automated Machine Learning Python Framework for Tabular Data". Geochemistry, Geophysics, Geosystems 25, № 1 (2024). http://dx.doi.org/10.1029/2023gc011324.

Full text

Abstract:

AbstractAlthough machine learning (ML) has brought new insights into geochemistry research, its implementation is laborious and time‐consuming. Here, we announce Geochemistry π, an open‐source automated ML Python framework. Geochemists only need to provide tabulated data and select the desired options to clean data and run ML algorithms. The process operates in a question‐and‐answer format, and thus does not require that users have coding experience. After either automatic or manual parameter tuning, the automated Python framework provides users with performance and prediction results for the

APA, Harvard, Vancouver, ISO, and other styles

43

Wang, Longtao, Jiangtao Xu, Jiafeng Lu, et al. "3 W average-power high-order mode pulse in dissipative soliton resonance mode-locked fiber laser." Nanophotonics, August 31, 2021. http://dx.doi.org/10.1515/nanoph-2021-0317.

Full text

Abstract:

Abstract Recently high-order modes (HOMs) lasers have been extensively investigated due to their potential applications in mode-division multiplexing. In this paper, we present two schemes of generating HOMs from the mode-locked fiber lasers (MLFLs) in the dissipative soliton resonance (DSR) regime. Watt-level HOM outputs are implemented through intra-cavity mode conversion. 3 W average-power HOMs with an efficiency slope of 25% can be obtained based on an MLFL in the DSR regime, which is achieved by incorporating a long-period fiber grating (LPFG) and a dual-resonant acoustically induced fibe

APA, Harvard, Vancouver, ISO, and other styles

44

Shen, Yuanke. "Optimized systems of multi-layer perceptron predictive model for estimating pile-bearing capacity." Journal of Engineering and Applied Science 71, no. 1 (2024). http://dx.doi.org/10.1186/s44147-024-00386-x.

Full text

Abstract:

AbstractThe primary goal of this research is to leverage the advancements in machine learning techniques to forecast the bearing capacity of piles effectively. Accurately predicting load-bearing capability is an indispensable aspect in the field of substructure engineering. It is worth noting that determining load-bearing capability via in-place burden tests is a resource-intensive and labor-intensive process. This study presents a pragmatic soft computing methodology to tackle the aforementioned challenge, employing a multi-layer perceptron (MLP) for the estimation of load-bearing capacity. T

APA, Harvard, Vancouver, ISO, and other styles

45

Lazaropoulos, Athanasios. "Main Line Fault Localization Methodology in Smart Grid – Part 3: Main Line Fault Localization Methodology (MLFLM)." Trends in Renewable Energy 3, no. 3 (2017). http://dx.doi.org/10.17737/tre.2017.3.3.0038.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Pranati, M., N. Usha Rani, and B. Pravallika. "A New Zero Cross Technique for Simultaneous Estimation of Rosuvastatin Calcium and Fenofibrate in Tablets by UV Derivative Spectroscopic Method." Asian Journal of Pharmaceutical Analysis, June 3, 2023, 99–102. http://dx.doi.org/10.52711/2231-5675.2023.00017.

Full text

Abstract:

A Simple and reliable Zero cross technique for simultaneous estimation of Rosuvastatin Calcium and Fenofibrate in tablets by using UV derivative method was developed. The quantitative determination of the drugs was carried out using the Zero cross values measured at 235nm and 273nm for Rosuvastatin Calcium and Fenofibrate respectively. The Calibration curves constructed at these wavelengths for the determination of the linearity in the concentration range of 5-25µg/mlfor both the selected drugs. The low relative standard deviation values indicate good precision and higher recovery values indic

APA, Harvard, Vancouver, ISO, and other styles

47

Ghali, Azhar A., and Ashwoq S. Hussein. "Preconcentration and Spectrophotometric Determination of Copper and Nickel in some Medicinal PlantsafterCloud Point Extraction." International Journal of Research in Pharmaceutical Sciences 9, SPL1 (2018). http://dx.doi.org/10.26452/ijrps.v9ispl1.1379.

Full text

Abstract:

In this work,Cloud point extraction (CPE) methodology as an one green chemistry method is used for extraction, enrichment and determination ofNi (II) and Cu (II) in the somemedicinal plants,by use organic reagent2-[ (6-Methyl-2-Benzothiazolyl)azo]-4-Chloro Phenol (6-MeBTAClP) for formationthe extracted complexes into micelles of Triton X-114 as a mediated extractant at65,70 C0 respectively. The extracted product in densityhigh (cloud point layer )is separated from the aqueous layer by centrifugation for 15 min and dissolved in 0.5 mLfrom ethanol followed the determination of Ni (II) and Cu (II

APA, Harvard, Vancouver, ISO, and other styles

48

Lazaropoulos, Athanasios. "Main Line Fault Localization Methodology (MLFLM) in Smart Grid – The Underground Medium- and Low-Voltage Broadband over Power Lines Networks Case." Trends in Renewable Energy, December 2017, 15–42. http://dx.doi.org/10.17737/tre.2018.4.1.0045.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Solanki, Binal, and Hirak Joshi. "Development and Validation of a New RP-HPLC Analytical Method for the Simultaneous Determination of Luliconazole and Clobetasol Propionate in Synthetic Mixture." Journal of Pharmaceutical Research International, June 21, 2021, 53–60. http://dx.doi.org/10.9734/jpri/2021/v33i32b31742.

Full text

Abstract:

Aim: To develop new selective and sensitive reverse-phase high-performance liquid chromatography (RP-HPLC) approach for the quantification of antifungal drug Luliconazole integrate with corticosteroid drug Clobetasol Propionate in a synthetic mixture. Methods: The method was validated to achieve International Conference Harmonization (ICH) requirements. Chromatographic separation was carried out by isocratic technique on a reversed-phase Inertsil C18 column (5 µm, 250mm x 4.6mm i.d with the mixture of Acetonitrile: Water pH adjusted with H3PO4 (60: 40) and UV detection at 264 nm. The com

APA, Harvard, Vancouver, ISO, and other styles

50

Luo, Chao, Guoqing Pu, Zhiwei Fang, et al. "Real‐Time Comprehensive Control over Soliton Molecules Enabled By Physics‐Inspired Searching." Laser & Photonics Reviews, August 8, 2024. http://dx.doi.org/10.1002/lpor.202401153.

Full text

Abstract:

AbstractSoliton molecules (SMs), which represent bound aggregations of sub‐solitons, have inherent multi‐dimensional properties, thereby giving them substantial potential for use in optical communications and optical data storage. However, releasing this potential requires the ability to control SMs over these multiple dimensions to allow valid information to be modulated onto these dimensions. Here, a real‐time feedback scheme is proposed that is governed using a specifically designed physics‐inspired searching strategy and provides comprehensive control of the SM's multi‐dimensional properti

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!