<p>**Abstract:** This paper proposes a novel approach to enhance Adeno-Associated Virus (AAV) serotype targeting specificity for Brain-Derived Neurotrophic Fact...
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<p>**Abstract:** This paper presents a novel, fully automated system for CIN grading leveraging multi-modal biomedical data fusion and a hyper-score evaluation ...
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<p>**Abstract:** This research proposes a novel framework for automating the verification and synthetic data generation for high-dimensional geospatial risk mod...
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<p>**Abstract:** Current methods for tracking retroviral latency reversal suffer from limitations in sensitivity and throughput, hindering effective therapeutic...
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## Automated Defect Classification and Root Cause Analysis in Silicon Carbide (SiC) Emitter Tip Structures Using Multi-Modal Data Fusion and Bayesian Inference
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<p>**Abstract:** Predicting paracellular drug absorption—the passage of drugs between cells—is a critical, yet challenging, aspect of ADME (Absorption, Distribu...
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<p>**Abstract:** Existing cloud storage solutions, particularly object storage systems like Amazon S3 and Google Drive, grapple with escalating storage costs du...
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<p>**Abstract:** This paper introduces a novel framework for automated behavioral economics forecasting by integrating multi-modal data ingestion, semantic deco...
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<p>**Originality:** This research proposes a novel approach to PDAC biomarker discovery that integrates multi-modal data (genomics, imaging, liquid biopsy) thro...
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<p>**Abstract:** Federated learning (FL) offers the promise of collaborative model training without centralized data storage, increasing privacy and enabling br...
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<p>**Abstract:** This research proposes a novel framework for dynamic leadership style recommendation, leveraging multi-modal data ingestion and a rigorous scor...
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<p>**Abstract:** This research proposes a novel system for automated anomaly detection and predictive maintenance in hypoid gear trains, leveraging a combinatio...
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<p>**Abstract:** This paper introduces a novel framework for Enhanced Predictive Asset Management (EPAM) optimized for grid-scale Energy Storage Systems (ESS). ...
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<p>**Abstract:** This paper presents a novel methodology for robust Model Predictive Control (MPC) of non-linear systems subjected to stochastic perturbations. ...
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<p>**Abstract:** This paper introduces a novel approach to the verification of Adaptive Finite State Machines (AFSMs) commonly employed in real-time digital con...
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<p>**Abstract:** This paper proposes a novel framework for robust anomaly detection and autonomous safe mode transition within cooperative drone swarms operatin...
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<p>**Abstract:** This research presents a novel framework for predicting individual susceptibility to dysfunctional basal ganglia (BG) activity, a core neurolog...
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<p>**Abstract:** This paper proposes a novel framework for patient stratification in early-stage Alzheimer’s disease (ASD) utilizing hyperdimensional proc...
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