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1. Prediction and Estimation of Human Motion using Generative-Adversarial Network

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2. Processing In-Memory Architecture Incorporating Systolic Dataflow for Deep Neural Networks

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3. Frontiers in Data-driven Learning via Probabilistic Finite State Automata

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4. Statistical and Deep Learning Time Series Forecasting for Inventory Optimization of Agricultural Products

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5. Adversarial Attacks and Defense in Long Short-Term Memory Recurrent Neural Networks

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6. AI in Education: Effective Machine Learning Methods To Improve Data Scarcity and Knowledge Generalization

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7. A Vision Towards Developing a Spatially And Temporally Robust Data-Driven Modeling Framework To Predict Continuous Stream Nitrate Concentration At Data-Scarce Locations

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9. INNOVATIVE FENTANYL DETECTION: THE INTEGRATION OF DEEP LEARNING WITH MOLECULARLY IMPRINTED POLYMER SENSORS

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