Digital transformation
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Retrosynthesis Planning via Worst-path Policy Optimisation in Tree-structured MDPs
Source: arXiv AI PapersRead more: Retrosynthesis Planning via Worst-path Policy Optimisation in Tree-structured MDPsA novel method called Interactive Retrosynthesis Planning (InterRetro) improves retrosynthesis by focusing on worst-case outcomes. This approach addresses vulnerabilities in…
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An Internet of Intelligent Things Framework for Decentralized Heterogeneous Platforms
Source: arXiv AI PapersRead more: An Internet of Intelligent Things Framework for Decentralized Heterogeneous PlatformsThe Internet of Intelligent Things (IoIT) merges IoT devices with advanced AI algorithms. A proposed decentralized model addresses challenges in…
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CAR-BRAINet: Sub-6GHz Aided Spatial Adaptive Beam Prediction with Multi Head Attention for Heterogeneous Vehicular Networks
Source: arXiv AI PapersRead more: CAR-BRAINet: Sub-6GHz Aided Spatial Adaptive Beam Prediction with Multi Head Attention for Heterogeneous Vehicular NetworksThe paper introduces CAR-BRAINet, a deep learning approach for beam prediction in heterogeneous vehicular networks (HetVNets). It addresses the challenges…
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Privacy-Preserving Personalization in Education: A Federated Recommender System for Student Performance Prediction
Source: arXiv AI PapersRead more: Privacy-Preserving Personalization in Education: A Federated Recommender System for Student Performance PredictionA new privacy-preserving recommender system utilizing Federated Learning is proposed to address student data privacy challenges in education. This system…
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Multimodal Deep Learning for ATCO Command Lifecycle Modeling and Workload Prediction
Source: arXiv AI PapersRead more: Multimodal Deep Learning for ATCO Command Lifecycle Modeling and Workload PredictionThis paper introduces a deep learning framework aimed at enhancing air traffic control efficiency and safety. It integrates various data…
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STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions
Source: arXiv AI PapersRead more: STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network PredictionsSTM-Graph is an innovative open-source framework designed for transforming urban spatio-temporal data into graph representations. This tool enables effective training…
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FinXplore: An Adaptive Deep Reinforcement Learning Framework for Balancing and Discovering Investment Opportunities
Source: arXiv AI PapersRead more: FinXplore: An Adaptive Deep Reinforcement Learning Framework for Balancing and Discovering Investment OpportunitiesThis study presents a novel approach to portfolio optimization that combines the exploration of new investment opportunities with the exploitation…
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MarkDiffusion: An Open-Source Toolkit for Generative Watermarking of Latent Diffusion Models
Source: arXiv AI PapersRead more: MarkDiffusion: An Open-Source Toolkit for Generative Watermarking of Latent Diffusion ModelsMarkDiffusion is a new open-source Python toolkit designed for generative watermarking of latent diffusion models. It includes a unified framework,…
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LearnLens: An AI-Enhanced Dashboard to Support Teachers in Open-Ended Classrooms
Source: arXiv AI PapersRead more: LearnLens: An AI-Enhanced Dashboard to Support Teachers in Open-Ended ClassroomsThe LearnLens dashboard supports middle school science teachers by providing insights into students’ conceptual understanding through generative AI. It processes…
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Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media
Source: arXiv AI PapersRead more: Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social MediaThis research explores the use of large language models (LLMs) to enhance participant recruitment in clinical trials through social media…