Pareto optimal front result of MOCOA. by Hang Zhao (143592)

Confusion matrix. by Hang Zhao (143592)

Action potential of sample points in model 1. by Hang Zhao (143592)

Performance validation on the MIT-BIH database. by Hang Zhao (143592)

Exponentially attenuated sinusoidal function. by Hang Zhao (143592)

Action potential of sample points in model 2. by Hang Zhao (143592)

Action potential of sample points in model 0. by Hang Zhao (143592)

Yellow River Basin Industrial Base Spatio-temporal Monitoring and Impact Assessment Dataset by Libing Wang (21723566)

“…</li><li><b>Fine-grained Feature Extraction and Classification Phase:</b> Contains sample data, intermediate processing results (e.g., representative slices of classification probability maps), and corresponding algorithm implementation codes used to illustrate how the "feature decoupling" strategy was applied to identify and classify various key features from high-resolution imagery.…”

Collaborative Research: SCIPE: Interdisciplinary Research Support Community for Artificial Intelligence and Data Sciences by Sanmukh Kuppannagari (21798863)

“…<br><br>To achieve 10x-100x reduction in DNN energy consumption, a holistic approach is pursued, which encompasses: (1) new circuit designs that leverage emerging CMOS+X technologies; (2) a novel near-memory architecture in which processing elements are seamlessly integrated with traditional Dynamic RAM (DRAM); (3) novel 3D-matrix-based per-layer DNN computations and data-layout optimizations for kernel weights; and (4) algorithms and hardware/software co-design tailored for near-real-time DNN-based signal classification in next-generation wireless systems. …”

Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles by Soham Savarkar (21811825)

“…Details on the data sourcing process, prompt engineering strategies for large language model (LLM)-based extraction, and validation protocols are provided in the Supplementary Information section.…”