2014853.txt Apr 2026

: It may refer to a specific entry in a text-based dataset (like the PAN authorship attribution datasets) used to test the "deep" learning or machine learning models described in the paper.

: Early influential work on using Deep Convolutional Neural Networks (CNNs) to break image-based security systems. 2014853.txt

: Expert Systems with Applications , Volume 41, Issue 3, pages 853–860 , 2014. : It may refer to a specific entry

: Grigori Sidorov, Francisco Velasquez, Efstathios Stamatatos, Alexander Gelbukh, and Liliana Chanona-Hernández 2014. : Grigori Sidorov

: Research often cited in the context of industrial monitoring (like CNC machine tools) using spindle current data and deep learning.

If you are looking for a paper specifically titled "Deep..." or involving deep learning from that era, you might be referring to:

Acknowledging the land and God’s creation

This acknowledgement is crafted in light of the Principles of Reconciliation by the Truth and Reconciliation Commission of Canada, as we seek to live faithfully in Christ and in right relationship with all. 

We give thanks to the Creator for this land, its waters, forests and all living beings, and for the abiding presence of Christ among us. From coast to coast to coast, these have been cared for and nurtured by First Nations, Inuit and Métis through countless generations. 

We honour the enduring relationship Indigenous Peoples have cultivated with these lands and waters, and the treaties and agreements that reflect these sacred bonds. We acknowledge the harms caused by colonial expansion, through frameworks like the Doctrine of Discovery and structures like the residential school system. We recognize our past failures as a Church, including disruption of connections to the land and suppression of Indigenous spiritualities. 

Guided by the gospel of Jesus Christ, we confess our need for healing. We commit ourselves to seeking truth, pursuing reconciliation and nurturing harmony with all creation. We place our trust in Christ, through whom all things are reconciled to God. 

May God strengthen us to live faithfully as stewards of the Earth. Let us walk in love, justice and reconciliation, joining in God’s work to restore all creation.