## Automated Verification and Enhancement of Distributed Ledger Technology (DLT) Smart Contract Logic Using Hybrid Symbolic Execution and Machine Learning
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<p>**Abstract:** This research proposes a novel framework for predicting crowdfunding campaign success on decentralized platforms utilizing a multi-modal data i...
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<p>**Abstract:** This paper introduces Decentralized Autonomous Identity Verification via Zero-Knowledge Proof Graph Traversal (DAIV-ZKGT), a novel system capab...
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<p>**Abstract:** This research proposes a novel system for automated analysis of volatile memory (RAM) dumps extracted from compromised systems, leveraging mult...
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<p>**Abstract:** This paper introduces a novel framework for establishing algorithmic liability in the context of autonomous medical diagnosis. As AI systems in...
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<p>**Abstract:** This paper introduces a novel framework—Automated Semantic Validation &#038; Anomaly Detection (ASVAD)—for rigorously evaluating and ensuring t...
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<p>**Abstract:** This research proposes a novel framework, Longitudinal Multi-Omic Reinforcement Learning (L-MO-RL), for hyper-personalized cardiovascular risk ...
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<p>**Abstract:** This research investigates a novel approach to dynamically calibrate emotional resonance profiles within companion robots deployed for geriatri...
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<p>**Abstract:** This paper introduces a novel framework for optimizing the performance and reliability of uninterruptible power supply (UPS) systems serving cr...
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<p>**Abstract:** This paper proposes a novel framework, CodeRefactorAI, for automated code refactoring and quality enhancement within large-scale microservice a...
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<p>**Abstract:** This paper introduces a novel deep learning framework for proactive detection of marine hull corrosion in autonomous vessel remote inspection (...
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<p>**Abstract:** This paper presents a novel approach to designing high-efficiency power amplifiers (PAs) for 5G/6G infrastructure utilizing self-aligned fin fi...
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<p>**Abstract:** This research proposes a novel framework for firefighter training leveraging Adaptive Embodied AI (AEAI) within high-fidelity Virtual Reality (...
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<p>**Abstract:** This paper introduces the Dynamic Governance Optimization through Multi-Layered Evaluation &#038; HyperScore Feedback (DGO-MHL) framework, desi...
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<p>**Abstract:** Clinical trial design for rare diseases presents unique challenges due to limited patient populations, high heterogeneity, and often unknown na...
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<p>**Abstract:** Traditional Jaeger distributed tracing systems struggle to maintain performance and scalability under high-throughput Kubernetes workloads, par...
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<p>**Abstract:** Existing Kubernetes cluster autoscaling solutions often exhibit reactive behavior, leading to resource inefficiencies and performance bottlenec...
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## Adaptive Multi-Heuristic Intrusion Detection for Collaborative Welding Robot Networks
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<p>**Abstract:** This paper presents a novel framework for enhancing the resilience and availability of distributed consensus systems by integrating adaptive Ka...
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<p>**Abstract:** This paper presents a novel adaptive predictive dead-time compensation (APDC) strategy for high-frequency three-phase inverters using reinforce...
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