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In the systems of digital VLSI design (Very Large Integrated Circuits), the BDD (Binary Decision Diagram) is used for VLSI verification, as well as for technologically independent optimization as the first stage in the synthesis of logic circuits in ...
P. N. Bibilo, V. I. Romanov
doaj +1 more source
Masking of Internal Nodes Faults Based on Applying of Incompletely Specified Boolean Functions [PDF]
Combinational circuits (combinational parts of sequential circuits) are considered. Masking of internal nodes faults with applying sub-circuit, inputs of which are connected to the circuit inputs and outputs — to the circuit proper internal nodes, is ...
Matrosova, Angela Yu. +2 more
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TeDDy: Templated decision diagram library
Discrete functions are an integral part of numerous areas of research in mathematics and computer science. Efficient processing of such functions in a computer requires an appropriate representation.
Michal Mrena +2 more
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Formal Methods for Exact Analysis of Approximate Circuits
Approximate circuits are digital circuits that are intentionally designed in such a way that the specification is violated in terms of functionality in order to obtain some improvements in power consumption, performance or area, in comparison with fully ...
Zdenek Vasicek
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Optimizing Binary Decision Diagrams with MaxSAT for Classification
The growing interest in explainable artificial intelligence(XAI) for critical decision making motivates the need for interpretable machine learning (ML) models. In fact, due to their structure (especially with small sizes), these models are inherently understandable by humans.
Hu, Hao +2 more
openaire +3 more sources
A Recursive Framework for Evaluating Moments Using Zero-Suppressed Binary Decision Diagrams
The zero-suppressed binary decision diagram (ZDD) is a compact data structure widely used for the efficient representation of families of sparse subsets.
Brian Godwin Lim +4 more
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Efficient Set Sharing Using ZBDDs
Set sharing is an abstract domain in which each concrete object is represented by the set of local variables from which it might be reachable. It is a useful abstraction to detect parallelism opportunities, since it contains definite information about ...
Mario Méndez-Lojo +5 more
core +2 more sources
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells
This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos +6 more
wiley +1 more source
Lex-Partitioning: A New Option for BDD Search [PDF]
For the exploration of large state spaces, symbolic search using binary decision diagrams (BDDs) can save huge amounts of memory and computation time. State sets are represented and modified by accessing and manipulating their characteristic functions ...
Stefan Edelkamp +2 more
doaj +1 more source

