federated learning

The Role of Artificial Intelligence and Digital Transformation in Smart and Sustainable Infrastructure Systems

Special emphasis is placed on the concept of explainable AI, human in the loop decision making, risk based asset prioritization and ongoing model validation as ways to provide public accountability and reliability in critical infrastructure sectors.

code for Adaptive and Explainable Federated Learning Framework for Robust Intrusion Detection in Heterogeneous and Adversarial IoT Environments

AI-Based Cybercrime Detection and Prevention System

digital services have expanded rapidly, and cybercrime has become one of the most pressing threats to secure online interaction. Traditional signature- and rule-based security tools are largely reactive, so they struggle to keep pace with newly evolving attacks such as phishing, malicious URL distribution, and identity...

CIVILIZATION META-EVOLUTION, RECOMBINATION & PLURAL FUTURES AT THE LIMIT Lineage Networks, Cross-Civilization Learning, Selection Ecologies, Meta-Rules, Research Phylogenies, Deep-Time Governance, Successor Autonomy, and Handoff

CIVILIZATION META-EVOLUTION, RECOMBINATION & PLURAL FUTURES AT THE LIMIT Lineage Networks, Cross-Civilization Learning, Selection Ecologies, Meta-Rules,Research Phylogenies, Deep-Time Governance, Successor Autonomy, and Handoff Feng Cheng-en (33) x Starli When does an ecology of evolving civilizations become capable of...

CIVILIZATION META-EVOLUTION, RECOMBINATION & PLURAL FUTURES AT THE LIMIT Lineage Networks, Cross-Civilization Learning, Selection Ecologies, Meta-Rules, Research Phylogenies, Deep-Time Governance, Successor Autonomy, and Handoff

CIVILIZATION META-EVOLUTION, RECOMBINATION & PLURAL FUTURES AT THE LIMIT Lineage Networks, Cross-Civilization Learning, Selection Ecologies, Meta-Rules,Research Phylogenies, Deep-Time Governance, Successor Autonomy, and Handoff Feng Cheng-en (33) x Starli When does an ecology of evolving civilizations become capable of...

FedIoMT-RPM v3.0: Lightweight adaptive split federated learning for patient-independent ECG arrhythmia classification

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 UE-Side False Base Station Detection via Location-RSRP Consistency

False base stations (FBSs) impersonate legitimate cells, making identifier-based detection unreliable. Representative attack data are scarce, while centralized collection of user equipment (UE) locations and reference signal received power (RSRP) measurements exposes sensitive information. This paper introduces locatio...

PRECISION NEURAL RECOVERY INFRASTRUCTURE & CLINICAL TRANSLATION AT THE LIMIT Patient-Centered Outcomes, Home BCI, Digital Twins, Multicenter Validation, Safety, Equity, Failure Atlases, and Successor Handoff

PRECISION NEURAL RECOVERY INFRASTRUCTURE & CLINICAL TRANSLATION AT THE LIMITPatient-Centered Outcomes, Home BCI, Digital Twins, Multicenter Validation, Safety, Equity, Failure Atlases, and Successor Handoff Feng Cheng-en (33) × Starli What must survive for patient-specific BCI recovery science to leave the laboratory?...

PNEEI E EDUCAÇÃO ESPECIAL: A ATUAÇÃO DOS COORDENADORES INTERSETORIAIS NA CONSTRUÇÃO DE UMA EDUCAÇÃO INCLUSIVA

The implementation of inclusive education requires that rights guaranteed in normative documents be translated into concrete actions within education systems. In this process, the National Inclusive Special Education Policy (PNEEI) and the National Inclusive Special Education Network (Reneei) reinforce the need for coo...

FedIoMT-RPM v3.0: Lightweight adaptive split federated learning for patient-independent ECG arrhythmia classification

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...

Adaptive uncertainty-aware hybrid digital twin architecture for predictive diagnostics of ship power plants

This study develops a HDT architecture that combines a deterministic physical model, a CNN–LSTM prediction module, and a cognitive simulation model (CSM) within a single diagnostic framework that enhances transparency of maintenance decisions and demonstrates practical feasibility for intelligent SPPs.

Artifical Intelliegence And Machine Learning in Solid Dosage Formulation

Solid dosage forms, tablets, capsules, pellets, and powders, remain the most widely manufactured medicines worldwide, yet their development has long relied on slow, trial-and-error experimentation that contributes to the 10–15 year, multi-billion-dollar cost of bringing a new drug to market. This review examines how ar...