Latest Articles for Computer Science

Examining how black holes limit computational abilities in quantum systems.

RLocator improves bug localization using machine learning techniques.

Exploring the relationship between algebraic integers and physical forces.

Symbolic execution is a key technique for identifying software bugs efficiently.

A look into the properties and applications of quartic surfaces in mathematics.

A look into matching sizes and their importance in graph theory.

A new method improves the analysis of curved shells using isogeometric techniques.

An introduction to layered modal type theories and their applications in programming.

A new perspective on sequent-style proof systems and their applications.

An overview of rough sets and pseudo-Kleene algebras in managing uncertain information.

An overview of the development and functions of dialogue systems.

New techniques enhance local testers for efficient error correction in data transmission.

Learn how zero-knowledge protocols enhance privacy and security in digital interactions.

Introducing low-pass attack techniques to bypass neural network defenses.

A look into the complexities of consensus in distributed systems.

This article discusses how magic impacts quantum computing performance.

Introducing a synchronizer that enhances distributed algorithms in asynchronous settings.

An overview of higher-dimensional automata and their applications in complex systems.

Research explores structured random light for innovative number factorization methods.

A method for efficient vector-matrix multiplication in group-equivariant neural networks.

Quantum techniques offer new hope for solving the Number Partitioning Problem effectively.

A look into median and k-median graphs and their significance.

A look into logical queries and their significance in computer science.

A look into digital cones, suspensions, and their properties in digital topology.

Exploring hybrid approaches for better problem-solving in maze navigation using quantum computing.

Examining how intra-layer links can improve neural network representation.

This study presents new methods for fairly dividing items represented by graphs.

A look at the efficiency of constant-depth circuits over monotone circuits.

A new approach applies hyperbola properties to simplify integer factorization.

New findings improve Cheeger’s inequality, enhancing understanding of graph properties.

Exploring the dynamics of coalitions and their role in graph structures.

A look into saturation numbers in graphs and their applications.

Exploring the interplay of superconductors and charge carriers for advanced quantum technologies.

Exploring the impact of re-initialization methods in SNNs and their applications.

A new method enhances robot path planning through image-based learning.

How predictions change data and influence future outcomes in various fields.

This study reveals a method to accelerate neural network training using structured input data.

A new method restores incomplete data while maintaining quality and nonnegativity.

This article discusses an innovative method to translate SUMO-K into higher-order set theory.

An overview of parser combinators and the importance of verifying their accuracy.