An AI-Driven Approach to Creating Effective Learning Experiences at QCon
Wes Reisz, a technical principal and the conference chair for the upcoming QCon.Ai software conference, recently spoke at InfoQ Dev...
Learning methods
Cyberattack event and arguments extraction based on feature interaction and few-shot learning
In this section, we evaluate the event extraction performance of the proposed CAFIIE method against baseline methods on CTI texts,...
University english teaching evaluation using artificial intelligence and data mining technology
Research background and motivationsIn higher education, English teaching is considered a crucial subject, and its teaching quality and assessment effectiveness...
Estimation of state of health for lithium-ion batteries using advanced data-driven techniques
The suggested method for estimating the SOH of batteries included three stages, as illustrated in Fig. 7, data pre-processing, model training,...
Optimized machine learning based comparative analysis of predictive models for classification of kidney tumors
This section presents an ablation study analyzing the impact of different splitting ratios, comparing model performance across various optimizers and...
Multi-stage framework using transformer models, feature fusion and ensemble learning for enhancing eye disease classification
Experimental setupThis study implemented models using Python, an NVIDIA RTX-3090 GPU, Windows 10 Professional, and an Intel i7 processor with...
