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A hybrid deep learning framework that pairs a 3D convolution neural networks (3D-CNN) with an recurrent neural networks (RNN) for modeling contextual dependencies across CT slices, capturing both shape-level structure of a nodule and how that structure evolves through the scan sequence.
extra_baseline_models\ README.txt (updated) requirements.txt common_fl.py common_eval.py common_dataset.py make_ds1ds2_data.py FedIoMT_RPM_RecordIndependent.py Centralized_CNN_ / FedAvg_ / FedProx_ / SCAFFOLD_ / CSFL_ / SplitFed_RecordIndependent.py run_all_seeds.py run_improvement.py summarize_results.py run_noise_def...
Abstract ENThis document, produced with the assistance of ChatGPT o3 and ChatGPT 5 Thinking, is released under the Apache 2.0 licence. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes: (art. L 611-11 CPI / art. 54(2) CBE), 35 U.S.C....
Agricultural fruit production is significantly affected by plant diseases that reduce crop yield, degrade fruit quality, increase pesticide dependency, and threaten global food security. Disease symptoms vary considerably in lesion texture, shape, color, infection spread, and environmental background, making accurate d...
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Research artefact for the study FedStaP: Shared Feature Statistics and Prior-Calibrated Training for Non-IID Federated Intrusion Detection in IoT Networks. Contents. The full implementation (Hydra configurations, federated simulator, the proposed FedStaP method, ten global-model baselines, a personalised reference and...
Sepsis remains one of the leading causes of intensive care unit (ICU) mortality in the United States, and timely clinical decision support is essential for improving patient outcomes. Although Electronic Health Record (EHR) systems provide access to large volumes of clinical data, strict patient privacy regulations and...
Behind-the-ear electroencephalography (EEG) can now be recorded continuously outside hospital, but forecasting the preictal state is hard in a distributed deployment: raw traces cannot leave the clinical site, the wearable montage is chosen per patient, and part of the labelling comes from automated annotators rather t...
While Africa has a disproportionately high share of the global disease burden, it is also plagued by poor connectivity, a lack of genomic reference data, and diverse digital and network infrastructure that impede the continents shift toward precision healthcare. To work around these constraints, three converging techno...
FedIoMT-RPM v3.0: Lightweight adaptive split federated learning for patient-independent ECG arrhythmia classification This release contains the complete code and final results for the revised manuscript submitted to Scientific Reports. It replaces v2.0. Main changes from v2.0 Patient-independent evaluation. All methods...
Federated learning (FL) enables collaborative model training across distributed Internet of Things (IoT) devices while preserving data privacy. However, in dynamic and open IoT environments, untrustworthy clients, adversarial attacks, and insufficient traceability hinder the robustness and security of FL systems. To ad...
Audited reproducibility package for a five-seed comparison of FedAvg, FedProx,and SCAFFOLD under communication stress using UCI ElectricityLoadDiagrams20112014and Ausgrid Solar Home Electricity Data. The archive contains sanitized run-level outputs for 300 unique scientificexecutions, independently verifiable downstrea...
Research artefact for the study FedStaP: Shared Feature Statistics and Prior-Calibrated Training for Non-IID Federated Intrusion Detection in IoT Networks. Contents. The full implementation (Hydra configurations, federated simulator, the proposed FedStaP method, ten global-model baselines, a personalised reference and...
Education Innovation
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
A Blog post by NVIDIA on Hugging Face
A Blog post by IBM Research on Hugging Face
A new machine-learning approach broke records for weather forecasting for an important time frame in emergency planning.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
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