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Applied machine learning — cross-industry research map

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Nine bibliographic records covering machine-learning applications across industries. Includes source links, publication and publisher counts, title themes and a saved JSON edition. Full papers, abstracts and executable code are not included.

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9 records in a downloadable JSON packet, with descriptive analysis, source links, licensing notes, and a payment receipt.

Explore a cross-industry sample of applied machine-learning research.

One saved edition · no subscription · public sources remain nonexclusive
Opening bid$25
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ClosesSep 18, 3:38 PM UTC15h 47m left
9 source records Frozen snapshot $5 increment
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Coverage in this packet

Descriptive counts of the providers actually present in this packet, publication dates and title terms. Collection freshness does not imply a new publication. Social/news inputs contribute aggregate context only; this is not sentiment truth, investment advice, or a quality ranking.

9 research records0 context signals1 source families
crossref9
analysis 2deep 2framework 2agricultural 1algorithms 1aortic 1approach 1calcification 1
2026-9-9
01
Deep learning coupled with scalable domain-specific structural validation expands RNA virus discovery from metatranscriptomesSpringer Science and Business Media LLC · retrieved Sep 16, 3:32 PM UTC
02
Predicting calcification risk in prosthetic aortic valves: a hybrid physics-based and machine learning approachSpringer Science and Business Media LLC · retrieved Sep 16, 3:32 PM UTC
03
A deep learning framework with directional perception and spatial focusing for enhanced low-dose CT image denoisingSpringer Science and Business Media LLC · retrieved Sep 16, 3:32 PM UTC
04
Machine learning-assisted classification of carbon nanotube, Polymer Matrix, and graphene reinforced nanocomposites using multivariate material characterization dataSpringer Science and Business Media LLC · retrieved Sep 16, 3:32 PM UTC
05
Red-Edge Information in Agricultural Remote Sensing: From Spectral Theory to Explainable Machine LearningMDPI AG · retrieved Sep 16, 3:32 PM UTC
06
Integrating Dynamic Graph Representation and Reinforcement Learning for Portfolio OptimizationMDPI AG · retrieved Sep 16, 3:32 PM UTC
07
Data-Driven Analysis of Student Enrollment Trends Using Machine Learning Algorithms: A Case Study of the University of TetovaWorld Scientific and Engineering Academy and Society (WSEAS) · retrieved Sep 16, 3:32 PM UTC
08
Income Prediction Using Dimensionality Reduction Analysis and Machine Learning ModelsIIARD Publication Co. · retrieved Sep 16, 3:32 PM UTC
09
A Competency-Aware Machine Learning Framework for Personalized Course Recommendation Using Cognitive Skills and Expert KnowledgeAssociation of Technology and Science · retrieved Sep 16, 3:32 PM UTC

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Questions for your evaluation
  • Which application domains match your work?
  • What do the full sources report beyond their titles?
  • Which datasets, baselines and implementations can you independently inspect?

A research shortlist and descriptive analysis. Scientific claims and performance have not been independently reproduced. Public source material remains nonexclusive.

Included fields: title, sourceUrl, retrievedAt, published, publisher, verification, rights.

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