LDAC-Net: A Learnable Multi-Lag Differencing Attention-Convolution Network for Drift-Robust Recognition with Low-Cost MOX Gas Sensors

arXiv:2608.25646 · cs.LG, cs.AI · Submitted 2026-08-26 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-08-26

Updated: 2026-08-26

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Transformer — 43× in this paper · explained in 2 episodes
• Accuracy — 25× in this paper · explained in 1 episode
• Benchmark — 15× in this paper · explained in 2 episodes
• Learnable Multi-Lag Differencing — 11× in this paper
• Ablation — 9× in this paper · explained in 1 episode
• Calibration — 8× in this paper · explained in 7 episodes
• Ablation study — 5× in this paper · explained in 1 episode
• Non-stationarity — 4× in this paper · explained in 2 episodes
• Core — 3× in this paper · explained in 2 episodes
• International Conference on Learning Representations — 3× in this paper
• Learnable Differential Feature Enhancement — 3× in this paper
• Ablation Studies — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Representation Learning — 2× in this paper · explained in 2 episodes
• 1D CNN — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Predictive Coding — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Time Series Forecasting — 1× in this paper · explained in 3 episodes
• Windowconditioned Statistical Affine Normalisation — 1× in this paper

Sources

• An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
• SmellNet: A Large-scale Dataset for Real-world Smell Recognition
• Gated Transformer Networks for Multivariate Time Series Classification
• Representation Learning with Contrastive Predictive Coding
• Instance Normalization: The Missing Ingredient for Fast Stylization

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