Suchergebnisse - "Data Analytics and Machine Learning"

An efficient hybrid grey wolf optimization-based KELM approach for prediction of the discharge coefficient of submerged radial gates von Roushangar, Kiyoumars, Shahnazi, Saman, Sadaghiani, Arman Alirezazadeh

“… Accurately prediction of discharge coefficient through radial gates is considered as a challenging hydraulic subject, particularly under highly submerged flow conditions …”
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Facial expression recognition based on multi-channel fusion and lightweight neural network von Yu, Yali, Huo, Hua, Liu, Junqiang

“… In the process of facial expression recognition, face detection is the prerequisite, image preprocessing is the foundation, facial expression feature …”
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Discriminative aging subspace learning for age estimation von Sawant, Manisha, Bhurchandi, Kishor M.

“… ; however, the age factor remains unutilized. The age component of the hidden factor analysis model depends on the subject’s age …”
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Development and evaluation of M + 1-way classification mechanism realized through identifying foreign patterns von Zhang, Huimin, Zhu, Xiubin

“… In this study, we are concerned with a new design methodology of M  + 1-way classification mechanism. The intent is to reduce the cost of error prediction …”
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A review of enhancing online learning using graph-based data mining techniques von Munshi, M., Shrimali, Tarun, Gaur, Sanjay

“… Moreover, graph data are subject to suspicions because of incompleteness and vagueness of data …”
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Drummistic Fingerprints: Unique Drummer Identification via the Application of Data Analytics & Machine Learning von Cunningham, Curtis, Furey, Eoghan, Blue, Juanita

“… This paper investigates the subject of artist recognition in recorded performances, an area of Music Information Retrieval (MIR …”
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A Novel Diabetes Healthcare Disease Prediction Framework Using Machine Learning Techniques von Krishnamoorthi, Raja, Joshi, Shubham, Almarzouki, Hatim Z., Shukla, Piyush Kumar, Rizwan, Ali, Kalpana, C., Tiwari, Basant

“… However, this subject still faces significant open research issues due to a lack of appropriate data sets and prediction approaches, which pushes researchers to use big data analytics and machine learning (ML)-based methods …”
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Smart Work Injury Management (SWIM) System: Artificial Intelligence in Work Disability Management von Cheng, Andy S. K., Ng, Peter H. F., Sin, Zackary P. T., Lai, Sun H. S., Law, S. W.

“… : the Smart Work Injury Management (SWIM) system. It is a secure and centralized cloud platform containing a set of management tools for data storage, data analytics, and machine learning …”
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Machine Learning in Sports: Open Approach for Next Play Analytics von Fujii, Keisuke

“… This open access book provides cutting-edge work on machine learning in sports analytics, emphasizing the integration of computer vision, data analytics, and machine learning to redefine strategic sports analysis …”
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Next generation nanobioformulation: A fascinating field for smart and sustainable agriculture von Chandervanshi, Yukti, Mandal, Pooja, Tewari, Sakshi

“… Agricultural sustainability is increasingly threatened by human activities, highlighting the urgent need for eco-friendly alternatives to current practices …”
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Nonnegative canonical tensor decomposition with linear constraints: nnCANDELINC von Alexandrov, Boian, DeSantis, Derek F., Manzini, Gianmarco, Skau, Erik W.

“… There is an emerging interest for tensor factorization applications in big‐data analytics and machine learning …”
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m-Health 2.0: New perspectives on mobile health, machine learning and big data analytics von Istepanian, Robert S.H., Al-Anzi, Turki

“… •m-Health 2.0 represents the evolution of mobile health in big data analytics and machine learning innovations era.•Smarter m-Health …”
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Mathematics anxiety in undergraduate business studies students von McCullagh, Orla, Ryan, Maria, Fitzmaurice, Olivia

“… In all aspects of business, there is a strong impetus for the adoption of artificial intelligence, data analytics and machine learning, prompting reform of business studies curricula …”
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Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics von Jafari, Roy

“… who’s developed college-level courses on data preprocessing and related subjects. With this book …”
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Digitizing images of electrical-circuit schematics von Kelly, Charles R., Cole, Jacqueline M.

“… to predict more operationally efficient electrical circuits using data analytics and machine learning …”
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Imputation of Missing Values in the Fundamental Data: Using MICE Framework von Meghanadh, Balasubramaniam, Aravalath, Lagesh, Joshi, Bhupesh, Sathiamoorthy, Raghunathan, Kumar, Manish

“… Revolutionary developments in the field of big data analytics and machine learning algorithms have transformed the business strategies of industries such as banking, financial services, asset management, and e-commerce …”
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AI-Powered Smart and Personalized Education Platform von V, Dunusinghe A., A, Ranasinghe T. K. S., H, Gamage J. G. A. C., T, Perera K. G. D., Thelijjagoda, Samantha, Gunatilake, Poojani

“… The study shows data analytics and machine learning forecast grades, while multi-tenancy architecture improves data handling …”
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Assessment of normal myelination in infants and young children using the T1w/T2w mapping technique von Filimonova, Elena, Amelina, Evgenia, Sazonova, Aleksandra, Zaitsev, Boris, Rzaev, Jamil

“… White matter myelination is a crucial process of CNS maturation. The purpose of this study was to validate the T1w/T2w mapping technique for brain myelination …”
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A Dynamic Bayesian Network Framework for Data-Driven Fault Diagnosis and Prognosis of Smart Building Systems von Pradhan, Ojas Man Singh

“… This data-rich environment, along with the surge in data analytics and machine learning tools, has made cost …”
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Intelligent production line thermal error compensation strategy system based on IoT big data von Huang, Huang

“… By incorporating Internet of Things (IoT) technologies, big data analytics, and machine learning approaches, the objective is to counteract the influence of thermal inaccuracies in machinery on both production efficiency and product quality …”
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