44th SGAI International Conference on Artificial Intelligence, AI 2024, Cambridge, UK, December 17-19, 2024, Proceedings, Part II Herausgegeben:Bramer, Max; Stahl, Frederic
44th SGAI International Conference on Artificial Intelligence, AI 2024, Cambridge, UK, December 17-19, 2024, Proceedings, Part II Herausgegeben:Bramer, Max; Stahl, Frederic
This two-volume set, LNAI 15446 and LNAI 15447, constitutes the refereed proceedings of the 44th SGAI International Conference on Artificial Intelligence, AI 2024, held in Cambridge, UK, during December 17-19, 2024. The 36 full papers and 18 short papers presented in these two volumes were carefully reviewed and selected from 80 submissions. Part I includes papers from the Technical stream, whereas Part II includes papers from the Application stream. These volumes are organized into the following topical sections: - Part I: Neural nets; Deep learning; Large language models; Machine…mehr
This two-volume set, LNAI 15446 and LNAI 15447, constitutes the refereed proceedings of the 44th SGAI International Conference on Artificial Intelligence, AI 2024, held in Cambridge, UK, during December 17-19, 2024.
The 36 full papers and 18 short papers presented in these two volumes were carefully reviewed and selected from 80 submissions. Part I includes papers from the Technical stream, whereas Part II includes papers from the Application stream. These volumes are organized into the following topical sections: -
Part I: Neural nets; Deep learning; Large language models; Machine learning; Evolutionary and genetic algorithms; Knowledge management, Short Technical Papers.
Part II: Machine vision; Evaluation of AI systems; Applications of machine learning; Other AI applications, Short Application Papers.
Die Herstellerinformationen sind derzeit nicht verfügbar.
Inhaltsangabe
.- Application Papers.
.- Adaptive CNN Method For Prostate MR Image Segmentation Using Ensemble Learning.
.- Machine Vision.
.- Optimizing Autonomous Vehicle Racing using Reinforcement Learning with Pre-trained Embeddings for Dimensionality Reduction.
.- Semantic Segmentation for Landslide Detection using Segformer.
.- Vision-Based Human Fall Detection using 3D Neural Networks.
.- Drone-Assisted Infrared Thermography and Machine Learning for Enhanced Photovoltaic Defect Detection: A Comparative Study of ViTs and YOLOv8.
.- Evaluation of AI Systems.
.- Evaluating Algorithms for Missing Value Imputation in Real Battery Data.
.- Using Pseudo Cases and Stratified Case-Based Reasoning to Generate and Evaluate Training Adjustments for Marathon Runners.
.- Applications of Machine Learning.
.- Emotion Detection in Hindi language using GPT and BERT.
.- Classification and Recommendation of Mental Health Assistance Events Using an RNN-LSTM, Fast-and-Frugal Trees and Weighted Sum System.
.- Digit Detection: Localizing and Convoluting.
.- Djinn - Data Journalism Interface for Newsgathering and Notifications.
.- Advancing Financial Text Sentiment Analysis with Deep Learning and Ensemble Models.
.- Other AI Applications.
.- Explaining a Staff Rostering Problem using Partial Solutions.
.- Formalise Regulations for Autonomous Vehicles with Right-Open Temporal Deontic Defeasible Logic.
.- SLANGO - The Initial Blueprint of Privacy-Oriented Legal Query Assistance: Exploring the potential of Retrieval Augmented Generation for German Law using SPR.
.- Short Application Papers.
.- An Ensemble Modelling of Feature Engineering and Predictions for Enhanced Fake News Detection.
.- A Child-Robot Interaction Experiment to Analyze Gender Stereotypes in the Perception of Mathematical Abilities.
.- Reinforcement Learning for Patient Scheduling with Combinatorial Optimisation.
.- Nursing Activity Recognition for Automated Care Documentation in Clinical Settings.
.- Exploring Efficient Job Shop Scheduling Using Deep Reinforcement Learning.
.- Respiratory Disease Detection Using Deep Convolutional Transformer Models.
.- Evaluating the performance of LLMs when translating Saudi Arabic as Low Resource Language.
.- Bi-directional LSTM Applied to the Maritime Target Motion Analysis Problem.
.- Adaptive CNN Method For Prostate MR Image Segmentation Using Ensemble Learning.
.- Machine Vision.
.- Optimizing Autonomous Vehicle Racing using Reinforcement Learning with Pre-trained Embeddings for Dimensionality Reduction.
.- Semantic Segmentation for Landslide Detection using Segformer.
.- Vision-Based Human Fall Detection using 3D Neural Networks.
.- Drone-Assisted Infrared Thermography and Machine Learning for Enhanced Photovoltaic Defect Detection: A Comparative Study of ViTs and YOLOv8.
.- Evaluation of AI Systems.
.- Evaluating Algorithms for Missing Value Imputation in Real Battery Data.
.- Using Pseudo Cases and Stratified Case-Based Reasoning to Generate and Evaluate Training Adjustments for Marathon Runners.
.- Applications of Machine Learning.
.- Emotion Detection in Hindi language using GPT and BERT.
.- Classification and Recommendation of Mental Health Assistance Events Using an RNN-LSTM, Fast-and-Frugal Trees and Weighted Sum System.
.- Digit Detection: Localizing and Convoluting.
.- Djinn - Data Journalism Interface for Newsgathering and Notifications.
.- Advancing Financial Text Sentiment Analysis with Deep Learning and Ensemble Models.
.- Other AI Applications.
.- Explaining a Staff Rostering Problem using Partial Solutions.
.- Formalise Regulations for Autonomous Vehicles with Right-Open Temporal Deontic Defeasible Logic.
.- SLANGO - The Initial Blueprint of Privacy-Oriented Legal Query Assistance: Exploring the potential of Retrieval Augmented Generation for German Law using SPR.
.- Short Application Papers.
.- An Ensemble Modelling of Feature Engineering and Predictions for Enhanced Fake News Detection.
.- A Child-Robot Interaction Experiment to Analyze Gender Stereotypes in the Perception of Mathematical Abilities.
.- Reinforcement Learning for Patient Scheduling with Combinatorial Optimisation.
.- Nursing Activity Recognition for Automated Care Documentation in Clinical Settings.
.- Exploring Efficient Job Shop Scheduling Using Deep Reinforcement Learning.
.- Respiratory Disease Detection Using Deep Convolutional Transformer Models.
.- Evaluating the performance of LLMs when translating Saudi Arabic as Low Resource Language.
.- Bi-directional LSTM Applied to the Maritime Target Motion Analysis Problem.
Es gelten unsere Allgemeinen Geschäftsbedingungen: www.buecher.de/agb
Impressum
www.buecher.de ist ein Internetauftritt der buecher.de internetstores GmbH
Geschäftsführung: Monica Sawhney | Roland Kölbl | Günter Hilger
Sitz der Gesellschaft: Batheyer Straße 115 - 117, 58099 Hagen
Postanschrift: Bürgermeister-Wegele-Str. 12, 86167 Augsburg
Amtsgericht Hagen HRB 13257
Steuernummer: 321/5800/1497
USt-IdNr: DE450055826