Category: Computer Science
Review maps large language models in automated program repair
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Systematic review of 189 papers examining Large Language Models for Automated Program Repair from 2020-2025, analyzing LLM architectures, deployment strategies, and applications in bug repair and.
Hybrid reinforcement learning improved music teaching interaction
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Hybrid reinforcement learning architecture for adaptive music education systems combining PPO with CNN for real-time pedagogical strategy optimization and multimodal learner state classification.
Self-assessment framework standardizes data center efficiency evaluation
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Modular assessment framework for automated evaluation of data center thermal and energy efficiency using standardized KPI calculations from monitoring systems and historical datasets.
Study maps how AI guardrails shape language and control
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Study examines how major AI companies implement guardrails as sociotechnical control mechanisms, revealing how code and language jointly regulate discourse in large language models.
Algorithm generates one-stroke kolams with symmetric gate switching
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Algorithm for autonomous one-stroke kolam generation using iterative gate-switching on symmetrically arranged anchor-dots, addressing digital preservation of Indian floor art heritage.
Migration-based maintenance is proposed as a future direction
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Systematic research agenda for migration-based software maintenance automation, establishing a four-stage lifecycle model for transferring knowledge and solutions across software systems.
AGENT improved makespan in heterogeneous cloud task allocation
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AGENT framework improves task allocation in cloud systems using elitism-guided genetic algorithm with adaptive parameters, achieving 3-29% makespan improvements for heterogeneous VM scheduling.
Website-based POS system improved laundry operations
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Development and implementation of a website-based POS system for optimizing transaction processing, inventory management, and business operations at a laundry MSME.
FLAT uses formal languages to type strings
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FLAT uses context-free grammars as type definitions to distinguish semantically different string encodings, enabling type-safe handling of URLs, file paths, and other structured data.
Temporal-clique query processing is made more efficient
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Temporal-clique subgraph pattern matching via integrated topological and temporal selectivity optimization with specialized join operators and cardinality estimation.
