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"Machine learning-based failure mode identification of double shear bol" by Samia Zakir Sarothi, Khondaker Sakil Ahmed et al. - Vimarsana News

"Machine learning-based failure mode identification of double shear bol" by Samia Zakir Sarothi, Khondaker Sakil Ahmed et al.

The design of double shear bolted connections in structural steel is governed by four different failure modes; tear out, splitting, net-section, and bearing. Ten machine learning (ML) approaches were explored on a comprehensive database of 455 experimental results for identifying the failure modes of double shear bolted connections. Among them, Random Forest (RF), CatBoost, XGBoost, and Gradient Boosting (GB) attained 90–92% accuracy on the testing dataset for classifying the failure modes. The best-performing models revealed that the ratio of the edge distance-to-bolt diameter (e2/d0) is th...

Source: uow.edu.au
Hopular: Modern Hopfield Networks for Tabular Data - Vimarsana News

Hopular: Modern Hopfield Networks for Tabular Data

🏆 SOTA for General Classification on Shrutime (Accuracy metric)

Frontiers | Seasonal, Annual, and Decadal Distribution of Three Rorqual Whale Species Relative to Dynamic Ocean Conditions Off Oregon, USA - Vimarsana News

Frontiers | Seasonal, Annual, and Decadal Distribution of Three Rorqual Whale Species Relative to Dynamic Ocean Conditions Off Oregon, USA

Whale populations recovering from historical whaling are particularly vulnerable to incidental mortality and disturbance caused by growing ocean industrialization. Several distinct populations of rorqual whales (including humpback, blue, and fin whales) migrate and feed off the coast of Oregon, USA where spatial overlap with human activities are on the rise. Effective mitigation of conflicts requires better foundational understanding of spatial and temporal habitat use patterns to inform conservation management. Based on a year-round, multi-platform distance sampling dataset (2016-2021, 177 su...

'Simple' AI Can Anticipate Bank Managers' Loan Decisions to Over 95% Accuracy - Vimarsana News

'Simple' AI Can Anticipate Bank Managers' Loan Decisions to Over 95% Accuracy

A new research project has found that the discretionary decisions made by human bank managers can be replicated by machine learning systems to an accuracy of more than 95%. Using the same data available to bank managers in a privileged dataset, the best-performing algorithm in the test was a Rand

Source: unite.ai
The Age of Machine Learning As Code Has Arrived - Vimarsana News

The Age of Machine Learning As Code Has Arrived

We’re on a journey to advance and democratize artificial intelligence through open source and open science.