Category: Computer Science & AI RSS
Measuring Complexity at the Requirements Stage: Spectral Metrics as Development Effort Predictors
Using graph metrics to predict effort required for integrating complex system requirements
RESEARCHER’S INFORMATION PORTFOLIO IN THE ERA OF ARTIFICIAL INTELLIGENCE
How artificial intelligence tools are changing research methods and raising new ethical questions
Reducing Tail Latency in Storage-Disaggregated Database Systems
Reducing latency delays in cloud database systems through distributed log replay
Analyzing Misinformation and Disinformation: Understanding Swiss COVID-19 Narratives Through Natural Language Processing Analysis
How Swiss COVID-19 public discourse defines misinformation and disinformation
Attributed graph neural network-based flood vulnerability assessment of river basin systems
Using neural networks to map flood risk in complex river systems with limited data
AI-Powered Code Helper for Intelligent Code Analysis, Debugging, and Multi-Language Execution
Intelligent system combines code execution with AI explanations to help programmers debug and learn
ICL Characterization of Climate Foundation Models: When Can Transformers Learn Weather and Climate?
Why climate models excel at predicting weather fields but struggle with extreme events
DTMiner: A Data-Centric System for Efficient Temporal Motif Mining
Accelerating pattern discovery in temporal networks through optimized data access coordination
Evaluation of Software Implemented Binarized MLP-Mixer
Reducing MLP-Mixer neural networks to binary weights for edge device deployment
Graph-Based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey
Graph structures in knowledge retrieval systems for improving AI accuracy
