{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/management/papers/33","list_of":"/task/management","task":"Management","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":33,"pages_in_order":82,"rows_per_page":100,"rows":[3201,3300],"of":8144,"counts":{"archive_papers_tagged":8144,"with_a_code_link":1214,"where_syntology_ran_a_sample":119,"not_listed_spam_title":0,"listed":8144,"listed_where_code_ran":119,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":103,"every_run_a_failure_of_syntologys_instrument":16,"listed_with_a_run_with_no_instrument_failure":103,"listed_every_run_a_failure_of_syntologys_instrument":16,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/management","prev":"/task/management/papers/32","next":"/task/management/papers/34","papers":[{"url":null,"slug":"uncertainty-quantification-in-neural-network-1","title":"Uncertainty Quantification in Neural-Network Based Pain Intensity Estimation","date":"2023-11-14","arxiv_id":"2311.08569","repositories_listed":0,"syntology":null},{"url":null,"slug":"velocity-based-channel-charting-with-spatial","title":"Velocity-Based Channel Charting with Spatial Distribution Map Matching","date":"2023-11-14","arxiv_id":"2311.08016","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-hypothesis-on-good-practices-for-ai-based","title":"A Hypothesis on Good Practices for AI-based Systems for Financial Time Series Forecasting: Towards Domain-Driven XAI Methods","date":"2023-11-13","arxiv_id":"2311.07513","repositories_listed":0,"syntology":null},{"url":null,"slug":"assessing-the-potential-impact-of","title":"Assessing the potential impact of environmental land management schemes on emergent infection disease risks","date":"2023-11-13","arxiv_id":"2311.07735","repositories_listed":0,"syntology":null},{"url":null,"slug":"c-procgen-empowering-procgen-with","title":"C-Procgen: Empowering Procgen with Controllable Contexts","date":"2023-11-13","arxiv_id":"2311.07312","repositories_listed":0,"syntology":null},{"url":null,"slug":"trajectories-and-platoon-forming-algorithm","title":"Trajectories and Platoon-forming Algorithm for Intersections with Heterogeneous Autonomous Traffic","date":"2023-11-13","arxiv_id":"2311.07435","repositories_listed":0,"syntology":null},{"url":null,"slug":"vt-former-a-transformer-based-vehicle","title":"VT-Former: An Exploratory Study on Vehicle Trajectory Prediction for Highway Surveillance through Graph Isomorphism and Transformer","date":"2023-11-11","arxiv_id":"2311.06623","repositories_listed":0,"syntology":null},{"url":null,"slug":"5g-positioning-advancements-with-ai-ml","title":"5G Positioning Advancements with AI/ML","date":"2023-11-10","arxiv_id":"2401.02427","repositories_listed":0,"syntology":null},{"url":null,"slug":"chatgpt-exhibits-gender-and-racial-biases-in","title":"ChatGPT Exhibits Gender and Racial Biases in Acute Coronary Syndrome Management","date":"2023-11-10","arxiv_id":"2311.14703","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-labeling-for-enhancing-remote","title":"Adaptive-Labeling for Enhancing Remote Sensing Cloud Understanding","date":"2023-11-09","arxiv_id":"2311.05198","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-and-analyzing-wildland-fire-data","title":"Exploring and Analyzing Wildland Fire Data Via Machine Learning Techniques","date":"2023-11-09","arxiv_id":"2311.05128","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-learning-management-system-to-affective","title":"From Learning Management System to Affective Tutoring system: a preliminary study","date":"2023-11-09","arxiv_id":"2311.05513","repositories_listed":0,"syntology":null},{"url":null,"slug":"taxonomy-for-resident-space-objects-in-leo-a","title":"Taxonomy for Resident Space Objects in LEO: A Deep Learning Approach","date":"2023-11-09","arxiv_id":"2311.05430","repositories_listed":0,"syntology":null},{"url":null,"slug":"causal-inference-on-investment-constraints","title":"Causal Inference on Investment Constraints and Non-stationarity in Dynamic Portfolio Optimization through Reinforcement Learning","date":"2023-11-08","arxiv_id":"2311.04946","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-configure-separators-in-branch","title":"Learning to Configure Separators in Branch-and-Cut","date":"2023-11-08","arxiv_id":"2311.05650","repositories_listed":0,"syntology":null},{"url":null,"slug":"local-differential-privacy-for-smart-meter","title":"Local Differential Privacy for Smart Meter Data Sharing","date":"2023-11-08","arxiv_id":"2311.04544","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-multiple-roles-of-ontologies-in","title":"On the Multiple Roles of Ontologies in Explainable AI","date":"2023-11-08","arxiv_id":"2311.04778","repositories_listed":0,"syntology":null},{"url":null,"slug":"predictable-relative-forward-performance","title":"Predictable Relative Forward Performance Processes: Multi-Agent and Mean Field Games for Portfolio Management","date":"2023-11-08","arxiv_id":"2311.04841","repositories_listed":0,"syntology":null},{"url":null,"slug":"beyond-traditional-beamforming-singular","title":"Beyond Traditional Beamforming: Singular Vector Projection for MU-MIMO","date":"2023-11-07","arxiv_id":"2311.03741","repositories_listed":0,"syntology":null},{"url":null,"slug":"risk-management-of-unmanned-aerial-vehicles","title":"Risk Management of Unmanned Aerial Vehicles","date":"2023-11-07","arxiv_id":"2311.05648","repositories_listed":0,"syntology":null},{"url":null,"slug":"transforming-agriculture-with-intelligent","title":"Transforming Agriculture with Intelligent Data Management and Insights","date":"2023-11-07","arxiv_id":"2401.13672","repositories_listed":0,"syntology":null},{"url":null,"slug":"benchmarking-deep-facial-expression","title":"Benchmarking Deep Facial Expression Recognition: An Extensive Protocol with Balanced Dataset in the Wild","date":"2023-11-06","arxiv_id":"2311.02910","repositories_listed":0,"syntology":null},{"url":null,"slug":"evolutionary-city-towards-a-flexible-agile","title":"Evolutionary City: Towards a Flexible, Agile and Symbiotic System","date":"2023-11-06","arxiv_id":"2311.14690","repositories_listed":0,"syntology":null},{"url":null,"slug":"modelling-and-optimization-based-control-for","title":"Modelling and Optimization Based Control for Demand Response in Active Distribution Networks","date":"2023-11-06","arxiv_id":"2311.03192","repositories_listed":0,"syntology":null},{"url":null,"slug":"drone-enabled-load-management-for-solar-small","title":"Drone-Enabled Load Management for Solar Small Cell Networks in Next-Gen Communications Optimization for Solar Small Cells","date":"2023-11-05","arxiv_id":"2311.02648","repositories_listed":0,"syntology":null},{"url":null,"slug":"mobility-as-a-resource-maar-for-resilient","title":"Mobility as a Resource (MaaR) for resilient human-centric automation: a vision paper","date":"2023-11-05","arxiv_id":"2311.02786","repositories_listed":0,"syntology":null},{"url":null,"slug":"ai-based-self-healing-solutions-applied-to","title":"AI-based Self-healing Solutions Applied to Cellular Networks: An Overview","date":"2023-11-04","arxiv_id":"2311.02390","repositories_listed":0,"syntology":null},{"url":null,"slug":"forecasting-post-wildfire-vegetation-recovery","title":"Forecasting Post-Wildfire Vegetation Recovery in California using a Convolutional Long Short-Term Memory Tensor Regression Network","date":"2023-11-04","arxiv_id":"2311.02492","repositories_listed":0,"syntology":null},{"url":null,"slug":"potato-leaf-disease-classification-using-deep","title":"Potato Leaf Disease Classification using Deep Learning: A Convolutional Neural Network Approach","date":"2023-11-04","arxiv_id":"2311.02338","repositories_listed":0,"syntology":null},{"url":null,"slug":"uncertainty-quantification-of-deep-learning","title":"Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities","date":"2023-11-04","arxiv_id":"2311.02485","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-neural-radiance-field-based-architecture","title":"A Neural Radiance Field-Based Architecture for Intelligent Multilayered View Synthesis","date":"2023-11-03","arxiv_id":"2311.01842","repositories_listed":0,"syntology":null},{"url":null,"slug":"architecture-of-smart-certificates-for-web3","title":"Architecture of Smart Certificates for Web3 Applications Against Cyberthreats in Financial Industry","date":"2023-11-03","arxiv_id":"2311.01956","repositories_listed":0,"syntology":null},{"url":null,"slug":"causal-models-applied-to-the-patterns-of","title":"Causal Models Applied to the Patterns of Human Migration due to Climate Change","date":"2023-11-03","arxiv_id":"2311.14686","repositories_listed":0,"syntology":null},{"url":null,"slug":"smart-traffic-management-of-vehicles-using","title":"Smart Traffic Management of Vehicles using Faster R-CNN based Deep Learning Method","date":"2023-11-03","arxiv_id":"2311.10099","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-role-of-soil-surface-in-a-sustainable","title":"The Role of Soil Surface in a Sustainable Semiarid Ecosystem","date":"2023-11-03","arxiv_id":"2311.01648","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-general-value-functions-to-learn-domain","title":"Using General Value Functions to Learn Domain-Backed Inventory Management Policies","date":"2023-11-03","arxiv_id":"2311.02125","repositories_listed":0,"syntology":null},{"url":null,"slug":"divergent-token-metrics-measuring-degradation","title":"Divergent Token Metrics: Measuring degradation to prune away LLM components -- and optimize quantization","date":"2023-11-02","arxiv_id":"2311.01544","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimizing-inventory-routing-a-decision","title":"Optimizing Inventory Routing: A Decision-Focused Learning Approach using Neural Networks","date":"2023-11-02","arxiv_id":"2311.00983","repositories_listed":0,"syntology":null},{"url":null,"slug":"supervised-learning-based-real-time-adaptive","title":"Supervised Learning Based Real-Time Adaptive Beamforming On-board Multibeam Satellites","date":"2023-11-02","arxiv_id":"2311.01334","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-management-of-obstructive-sleep-apnea","title":"The management of obstructive sleep apnea accompanied with mandibular retrognathia across the lifespan from orthodontic perspective","date":"2023-11-02","arxiv_id":"2311.01324","repositories_listed":0,"syntology":null},{"url":null,"slug":"decision-support-framework-for-home-health","title":"Decision Support Framework for Home Health Caregiver Allocation Using Optimally Tuned Spectral Clustering and Genetic Algorithm","date":"2023-11-01","arxiv_id":"2311.00696","repositories_listed":0,"syntology":null},{"url":null,"slug":"walnut-detection-through-deep-learning","title":"Walnut Detection Through Deep Learning Enhanced by Multispectral Synthetic Images","date":"2023-11-01","arxiv_id":"2401.03331","repositories_listed":0,"syntology":null},{"url":null,"slug":"acl-anthology-helper-a-tool-to-retrieve-and","title":"ACL Anthology Helper: A Tool to Retrieve and Manage Literature from ACL Anthology","date":"2023-10-31","arxiv_id":"2310.20467","repositories_listed":0,"syntology":null},{"url":null,"slug":"best-of-both-worlds-stochastic-and","title":"Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization","date":"2023-10-31","arxiv_id":"2311.00181","repositories_listed":0,"syntology":null},{"url":null,"slug":"privacy-preserving-design-of-graph-neural","title":"Privacy-preserving design of graph neural networks with applications to vertical federated learning","date":"2023-10-31","arxiv_id":"2310.20552","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-learning-for-smoothed-online-convex","title":"Robust Learning for Smoothed Online Convex Optimization with Feedback Delay","date":"2023-10-31","arxiv_id":"2310.20098","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimal-fees-in-hedge-funds-with-first-loss","title":"Optimal fees in hedge funds with first-loss compensation","date":"2023-10-29","arxiv_id":"2310.19023","repositories_listed":0,"syntology":null},{"url":null,"slug":"ris-aided-real-time-beam-tracking-for-a","title":"RIS-aided Real-time Beam Tracking for a Mobile User via Bayesian Optimization","date":"2023-10-29","arxiv_id":"2310.19014","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-power-of-explainability-in-forecast","title":"The Power of Explainability in Forecast-Informed Deep Learning Models for Flood Mitigation","date":"2023-10-29","arxiv_id":"2310.19166","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-in-transformer-based-demand","title":"Transfer Learning in Transformer-Based Demand Forecasting For Home Energy Management System","date":"2023-10-29","arxiv_id":"2310.19159","repositories_listed":0,"syntology":null},{"url":null,"slug":"vision-based-incoming-traffic-estimator-using","title":"Vision-Based Incoming Traffic Estimator Using Deep Neural Network on General Purpose Embedded Hardware","date":"2023-10-28","arxiv_id":"2311.16125","repositories_listed":0,"syntology":null},{"url":null,"slug":"experimental-validation-for-distributed","title":"Experimental Validation for Distributed Control of Energy Hubs","date":"2023-10-27","arxiv_id":"2310.18037","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-generative-ai-to-generative-internet-of","title":"From Generative AI to Generative Internet of Things: Fundamentals, Framework, and Outlooks","date":"2023-10-27","arxiv_id":"2310.18382","repositories_listed":0,"syntology":null},{"url":null,"slug":"lifting-the-veil-unlocking-the-power-of-depth","title":"Lifting the Veil: Unlocking the Power of Depth in Q-learning","date":"2023-10-27","arxiv_id":"2310.17915","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-fidelity-design-of-porous","title":"Multi-fidelity Design of Porous Microstructures for Thermofluidic Applications","date":"2023-10-27","arxiv_id":"2310.18505","repositories_listed":0,"syntology":null},{"url":null,"slug":"plantplotgan-a-physics-informed-generative","title":"PlantPlotGAN: A Physics-Informed Generative Adversarial Network for Plant Disease Prediction","date":"2023-10-27","arxiv_id":"2310.18268","repositories_listed":0,"syntology":null},{"url":null,"slug":"traffic-smoothing-using-explicit-local","title":"Traffic smoothing using explicit local controllers","date":"2023-10-27","arxiv_id":"2310.18151","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-resource-management-for-edge-network","title":"Adaptive Resource Management for Edge Network Slicing using Incremental Multi-Agent Deep Reinforcement Learning","date":"2023-10-26","arxiv_id":"2310.17523","repositories_listed":0,"syntology":null},{"url":null,"slug":"goals-are-enough-inducing-adhoc-cooperation","title":"Goals are Enough: Inducing AdHoc cooperation among unseen Multi-Agent systems in IMFs","date":"2023-10-26","arxiv_id":"2310.17416","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comprehensive-review-of-ai-enabled-unmanned","title":"A Comprehensive Review of AI-enabled Unmanned Aerial Vehicle: Trends, Vision , and Challenges","date":"2023-10-25","arxiv_id":"2310.16360","repositories_listed":0,"syntology":null},{"url":null,"slug":"ai-hazard-management-a-framework-for-the","title":"AI Hazard Management: A framework for the systematic management of root causes for AI risks","date":"2023-10-25","arxiv_id":"2310.16727","repositories_listed":0,"syntology":null},{"url":null,"slug":"dsam-gn-graph-network-based-on-dynamic","title":"DSAM-GN:Graph Network based on Dynamic Similarity Adjacency Matrices for Vehicle Re-identification","date":"2023-10-25","arxiv_id":"2310.16694","repositories_listed":0,"syntology":null},{"url":null,"slug":"extracting-design-knowledge-from-optimization","title":"Extracting Design Knowledge from Optimization Data: Enhancing Engineering Design in Fluid Based Thermal Management Systems","date":"2023-10-25","arxiv_id":"2310.16324","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-performance-in-colorectal-cancer","title":"Improving Performance in Colorectal Cancer Histology Decomposition using Deep and Ensemble Machine Learning","date":"2023-10-25","arxiv_id":"2310.16954","repositories_listed":0,"syntology":null},{"url":null,"slug":"rcagent-cloud-root-cause-analysis-by","title":"RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models","date":"2023-10-25","arxiv_id":"2310.16340","repositories_listed":0,"syntology":null},{"url":null,"slug":"scalable-optimal-power-management-for-large","title":"Scalable Optimal Power Management for Large-Scale Battery Energy Storage Systems","date":"2023-10-25","arxiv_id":"2310.16333","repositories_listed":0,"syntology":null},{"url":null,"slug":"empowering-distributed-solutions-in-renewable","title":"Empowering Distributed Solutions in Renewable Energy Systems and Grid Optimization","date":"2023-10-24","arxiv_id":"2310.15468","repositories_listed":0,"syntology":null},{"url":null,"slug":"interactive-generalized-additive-model-and","title":"Interactive Generalized Additive Model and Its Applications in Electric Load Forecasting","date":"2023-10-24","arxiv_id":"2310.15662","repositories_listed":0,"syntology":null},{"url":null,"slug":"modeling-and-contribution-of-flexible-heating","title":"Modeling and Contribution of Flexible Heating Systems for Transmission Grid Congestion Management","date":"2023-10-24","arxiv_id":"2310.15933","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-split-configuration-design-for-fluid","title":"Multi-split configuration design for fluid-based thermal management systems","date":"2023-10-24","arxiv_id":"2310.15500","repositories_listed":0,"syntology":null},{"url":null,"slug":"human-reliability-assessment-method-applied","title":"Human Reliability Assessment method applied to investigate human factors in NDT -- The case of the interpretation of radiograms in the French nuclear sector","date":"2023-10-23","arxiv_id":"2310.14697","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-data-management-in-data-lakes","title":"Semantic Data Management in Data Lakes","date":"2023-10-23","arxiv_id":"2310.15373","repositories_listed":0,"syntology":null},{"url":null,"slug":"concept-based-anomaly-detection-in-retail","title":"Concept-based Anomaly Detection in Retail Stores for Automatic Correction using Mobile Robots","date":"2023-10-21","arxiv_id":"2310.14063","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-model-predictive-control-for-enhanced","title":"Robust Model Predictive Control for Enhanced Fast Charging on Electric Vehicles through Integrated Power and Thermal Management","date":"2023-10-21","arxiv_id":"2310.13883","repositories_listed":0,"syntology":null},{"url":null,"slug":"comparative-analysis-of-machine-learning-6","title":"Comparative Analysis of Machine Learning Algorithms for Solar Irradiance Forecasting in Smart Grids","date":"2023-10-20","arxiv_id":"2310.13791","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-based-change-detection-with","title":"Deep-Learning-based Change Detection with Spaceborne Hyperspectral PRISMA data","date":"2023-10-20","arxiv_id":"2310.13627","repositories_listed":0,"syntology":null},{"url":null,"slug":"online-energy-management-system-for-a-fuel","title":"Online energy management system for a fuel cell/battery hybrid system with multiple fuel cell stacks","date":"2023-10-20","arxiv_id":"2310.13208","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-modelling-of-organizational","title":"Semantic Modelling of Organizational Knowledge as a Basis for Enterprise Data Governance 4.0 -- Application to a Unified Clinical Data Model","date":"2023-10-20","arxiv_id":"2311.02082","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-distributed-approach-to-meteorological","title":"A Distributed Approach to Meteorological Predictions: Addressing Data Imbalance in Precipitation Prediction Models through Federated Learning and GANs","date":"2023-10-19","arxiv_id":"2310.13161","repositories_listed":0,"syntology":null},{"url":null,"slug":"heterogeneous-graph-neural-networks-for-data","title":"End-to-End Heterogeneous Graph Neural Networks for Traffic Assignment","date":"2023-10-19","arxiv_id":"2310.13193","repositories_listed":0,"syntology":null},{"url":null,"slug":"jervis-bennett-hough","title":"Jervis Bennett Hough","date":"2023-10-19","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"proceedings-of-the-3rd-international-workshop-3","title":"Proceedings of the 3rd International Workshop on Mining and Learning in the Legal Domain (MLLD-23)","date":"2023-10-19","arxiv_id":"2311.10733","repositories_listed":0,"syntology":null},{"url":null,"slug":"sigml-supervised-log-anomaly-with","title":"SigML++: Supervised Log Anomaly with Probabilistic Polynomial Approximation","date":"2023-10-19","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-deep-learning-based-online-quality","title":"Towards a Deep Learning-based Online Quality Prediction System for Welding Processes","date":"2023-10-19","arxiv_id":"2310.12632","repositories_listed":0,"syntology":null},{"url":null,"slug":"weedclr-weed-contrastive-learning-through","title":"WeedCLR: Weed Contrastive Learning through Visual Representations with Class-Optimized Loss in Long-Tailed Datasets","date":"2023-10-19","arxiv_id":"2310.12465","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-framework-for-treating-model-uncertainty-in","title":"A Framework for Treating Model Uncertainty in the Asset Liability Management Problem","date":"2023-10-18","arxiv_id":"2310.11987","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-security-constrained-optimal-power-1","title":"Performance Investigation of an Optimal Control Strategy for Zero-Emission Operations of Shipboard Microgrids","date":"2023-10-18","arxiv_id":"2310.11760","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-resource-management-in-integrated","title":"Dynamic Resource Management in Integrated NOMA Terrestrial-Satellite Networks using Multi-Agent Reinforcement Learning","date":"2023-10-18","arxiv_id":"2310.11814","repositories_listed":0,"syntology":null},{"url":null,"slug":"flexible-payload-configuration-for-satellites","title":"Flexible Payload Configuration for Satellites using Machine Learning","date":"2023-10-18","arxiv_id":"2310.11966","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-solve-climate-sensor-placement","title":"Learning to Optimise Climate Sensor Placement using a Transformer","date":"2023-10-18","arxiv_id":"2310.12387","repositories_listed":0,"syntology":null},{"url":null,"slug":"marvel-multi-agent-reinforcement-learning-for","title":"MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable Speed Limits","date":"2023-10-18","arxiv_id":"2310.12359","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-safer-operations-an-expert-involved","title":"Towards Safer Operations: An Expert-involved Dataset of High-Pressure Gas Incidents for Preventing Future Failures","date":"2023-10-18","arxiv_id":"2310.12074","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-empirical-study-of-automatic-wildlife","title":"An empirical study of automatic wildlife detection using drone thermal imaging and object detection","date":"2023-10-17","arxiv_id":"2310.11257","repositories_listed":0,"syntology":null},{"url":null,"slug":"radio-map-estimation-in-the-real-world","title":"Radio Map Estimation: Empirical Validation and Analysis","date":"2023-10-17","arxiv_id":"2310.11036","repositories_listed":0,"syntology":null},{"url":null,"slug":"spatially-resolved-hyperlocal-weather","title":"Spatially-resolved hyperlocal weather prediction and anomaly detection using IoT sensor networks and machine learning techniques","date":"2023-10-17","arxiv_id":"2310.11001","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-automatic-satellite-images-captions","title":"Towards Automatic Satellite Images Captions Generation Using Large Language Models","date":"2023-10-17","arxiv_id":"2310.11392","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-sem-nca-approach-towards-the-impact-of","title":"A SEM-NCA approach towards the impact of participative budgeting on budgetary slack and managerial performance: The mediating role of leadership style and leader-member exchange","date":"2023-10-16","arxiv_id":"2310.09993","repositories_listed":0,"syntology":null},{"url":null,"slug":"smart-city-transportation-deep-learning","title":"Smart City Transportation: Deep Learning Ensemble Approach for Traffic Accident Detection","date":"2023-10-16","arxiv_id":"2310.10038","repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-and-managing-blockchain","title":"Understanding and managing blockchain protocol risks","date":"2023-10-16","arxiv_id":"2310.10797","repositories_listed":0,"syntology":null},{"url":null,"slug":"unlocking-metasurface-practicality-for-b5g","title":"Unlocking Metasurface Practicality for B5G Networks: AI-assisted RIS Planning","date":"2023-10-16","arxiv_id":"2310.10330","repositories_listed":0,"syntology":null}],"record_sha256":"a2775dd497c62394d7dfafac56af07da800ac777154d555d515be4c2ce6aea35","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}