Muutke küpsiste eelistusi

E-raamat: Progress in Artificial Intelligence: 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3-6, 2024, Proceedings, Part II

Edited by , Edited by , Edited by , Edited by , Edited by
Teised raamatud teemal:
  • Formaat - PDF+DRM
  • Hind: 74,09 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
Progress in Artificial Intelligence: 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3-6, 2024, Proceedings, Part IISuurem pilt
Teised raamatud teemal:

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

The 3-volume set LNAI 14967, 14968, and 14969 constitutes the proceedings of the 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, held in Viana do Castelo, Portugal, during September 36, 2024.





The 94 full papers presented in these proceedings were carefully reviewed and selected from 187 submissions. The papers are organized in the following topical sections:





Volume I:





AI and Creativity (AIC); Ambient Intelligence and Affective Environments (AmIA); Artificial Intelligence and IoT in Agriculture (AIoTA); Artificial Intelligence and Law (AIL); and Artificial Intelligence for Industry and Societies (AI4IS). 





Volume II:





Artificial Intelligence in Medicine (AIM); Artificial Intelligence in Power and Energy Systems (AIPES); Artificial Intelligence in Transportation Systems (AITS); Ethics and Responsibility in AI (ERAI); and General AI (GAI).





Volume III:





Generative AI Foundations and Applications (GenAI); Intelligent Robotics (IROBOT); Knowledge Discovery and Business Intelligence (KDBI); Natural Language Processing, Text Mining and Applications (TeMA); and Data-Centric AI Solutions and Emerging Technologies (DCenAI).
Artificial Intelligence in Medicine (AIM).- Synthetic Data for Robust
Identification of Typical and Atypical Serotonergic Neurons using
Convolutional Neural Networks.- Profiling Atopic Dermatitis Patients Using
Decision Tree Classifiers to Anticipate Dupilumab Response.- Modeling
Temporal Dynamics in Irregular ICU Data Using MWTA-LSTM.- Evaluating Asthma
in Equines with Video Recordings.- Predicting Surgical Site Infections: a
Time to Event Approach.- A Study on Automatic Analysis of Handwriting
Alterations due to Parkinsons Disease.- Cervical Cancer Detection in Pap
Smear Images.- Automating the Clock Drawing Test with Deep Learning and
Saliency Maps.- Acute Pancreatitis Mortality Prediction With Federated
Learning.- Predictive Modeling for Medication Administration in Intensive
Medicine: A Data-Driven Approach.- Artificial Intelligence in Power and
Energy Systems (AIPES).- A Review of Intelligent Technologies in District
Heating Systems.- Intelligent Data Mining on Power Systems: Examples from
Case Studies.-Application of a Genetic Algorithm for Optimising the Location
of Electric Vehicle Charging Stations.- Retrieval-augmented Generation based
Assistant: A Smart Home Case Study.- Dynamic Online Parameter Configuration
of Genetic Algorithms using Reinforcement Learning.- Assessing Advanced
Computer Vision Techniques in Aerial Imagery: A Case Study on Transmission
Tower Identification.- Generative Adversarial Networks for Synthetic
Meteorological Data Generation.- Artificial Intelligence in Transportation
Systems (AITS).- Fuel Efficiency Analysis of the Public Transportation System
Based on the Gaussian Mixture Model Clustering.- Multi-Agent Based Simulation
for Decentralized Electric Vehicle Charging Strategies and their
Impacts.- Bi-LSTM Neural Networks for Traffic Flow Prediction: A
Comprehensive Analysis.- Imbalance Management on Free-floating VSS: A
Multi-agent Model Approach.- Ethics and Responsibility in AI
(ERAI).- GASTeNv2: Generative Adversarial Stress Testing Networks with
Gaussian Loss.- A Multidimensional Taxonomy for Recent Trends in Explainable
Artificial Intelligence.- Explainability of fMRI Decoding Models can Unveil
Insights into Neural Mechanisms Related to Emotions.- Dynamics of Fisheries
in the Azores Islands: A Network Analysis Approach.- General AI
(GAI).- Detection and Classification of Spam in Social Media Comments using
Artificial Intelligence a Case Study.- A Comparative Study of Continual
Backprop.- Time Series Data Augmentation as an Imbalanced Learning
Problem.- Domain Reductions after Preprocessing: Effects on Dynamic Variable
Ordering in Constraint Satisfaction Search.- Efficient Image Search and
Retrieval System in Cloud Platforms.- Unveiling Cetacean Voices:
Entropy-Powered Spectrogram Denoising for Deep Learning Applications.
Lisainfo e-raamatute kohta Lisainfo e-raamatute kohta
Püsilink: https://www.kriso.ee/db/97830317350042e.html