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Revisiting SAT-based Solvers: MaxSAT Rules and Core Sequences
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SatSOM: Saturation Self-Organizing Maps for Continual Learning
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FunFuzz: An LLM-Powered Evolutionary Fuzzing Framework
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Automated brain tumor detection using advanced deep learning models
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Exploring the adoption of artificial intelligence in pharmacy education: a quantitative study of faculty perspectives in India
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Agricultural robot plant automatic detection integrating visual navigation and phenotype recognition
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Undergraduate students’ perceptions of generative artificial intelligence as a predictor of learning autonomy in Ghana
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TriGWONet a lightweight multibranch convolutional neural network using gray wolf optimization for accurate oral cancer image classification
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Availability prediction of solar water pumping system through stochastic modeling and nature-inspired algorithms
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Towards smarter IoT through taxonomy and prospective directions for microservices placement in fog computing paradigms
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Research on English text scoring technology based on deep learning in English teaching
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Machine learning predicts prolonged patient length of stay in a resource constrained Ethiopian hospital
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An efficient and high-quality circuit schematic generation method based on action mask and graph neural network
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The application of blockchain and smart contracts in the trusted evidence storage of carbon trading data of listed companies
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Measuring accuracy of AI generated definitions using cosine similarity index across select GPT models
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Performance-optimized Alzheimer’s detection using machine learning with SMOTE and randomized hyperparameter tuning
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Unveiling the intellectual landscape of artificial intelligence and consumer behavior
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Dynamic allocation and optimization strategy of communication network resources driven by reinforcement learning
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Quantum-like coherence derived from the interaction between chemical reaction and its environment
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Deep learning framework for aesthetic and biomechanical optimization of dance movements
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Optimizing machine learning models with multi feature selection for EEG analysis in second language acquisition research
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Towards Understanding Gradient Flow Dynamics of Homogeneous Neural Networks Beyond the Origin
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Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity
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Towards Unified Native Spaces in Kernel Methods