Communication, Devices, and Computing : Proceedings of ICCDC 2017 / / edited by Jaydeb Bhaumik, Indrajit Chakrabarti, Bishnu Prasad De, Banibrata Bag, Surajit Mukherjee

• Record Nr.: UNINA9910280948403321
• Pubbl/distr/stampa: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017
• ISBN: 981-10-8585-4
• Edizione: [1st ed. 2017.]
• Descrizione fisica: 1 online resource
• Collana: Lecture Notes in Electrical Engineering, , 1876-1100 ; ; 470
• Disciplina: 004.6
• Soggetti: Computational intelligence; Electrical engineering; Artificial intelligence; Computational Intelligence; Communications Engineering, Networks; Artificial Intelligence
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Sommario/riassunto: This book provides insights into the First International Conference on Communication, Devices and Computing (ICCDC 2017), which was held in Haldia, India on November 2–3, 2017. It covers new ideas, applications and the experiences of research engineers, scientists, industrialists, scholars and students from around the globe. The proceedings highlight cutting-edge research on communication, electronic devices and computing, and address diverse areas such as 5G communication, spread spectrum systems, wireless sensor networks, signal processing for secure communication, error control coding, printed antennas, analysis of wireless networks, antenna array systems, analog and digital signal processing for communication systems, frequency selective surfaces, radar communication, and substrate integrated waveguide and microwave passive components, which are key to state-of-the-art innovations in communication technologies.

Artificial Intelligence Applications and Innovations : 20th IFIP WG 12.5 International Conference, AIAI 2024, Corfu, Greece, June 27–30, 2024, Proceedings, Part III / / edited by Ilias Maglogiannis, Lazaros Iliadis, John Macintyre, Markos Avlonitis, Antonios Papaleonidas

• Record Nr.: UNINA9910866584203321
• Autore: Maglogiannis Ilias
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
• ISBN: 9783031632198; 9783031632181
• Edizione: [1st ed. 2024.]
• Descrizione fisica: 1 online resource (396 pages)
• Collana: IFIP Advances in Information and Communication Technology, , 1868-422X ; ; 713
• Altri autori (Persone): IliadisLazaros; MacintyreJohn; AvlonitisMarkos; PapaleonidasAntonios
• Disciplina: 004
• Soggetti: Computer science; Artificial intelligence; Computer engineering; Computer networks; Computers; Social sciences - Data processing; Computer Science; Artificial Intelligence; Computer Engineering and Networks; Computing Milieux; Computer Communication Networks; Computer Application in Social and Behavioral Sciences; Intel·ligència artificial; Enginyeria d'ordinadors; Xarxes d'ordinadors; Processament de dades; Congressos; Llibres electrònics
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: -- A comparison of AI methods for Groundwater Level Prediction in Burkina Faso. -- A Deep Learning-Based Framework for Racket Sports Court Registration. -- Beyond Sentiment in Stock Price Prediction: Integrating News Sentiment and Investor Attention with Temporal Fusion Transformer. -- Cross-Relational Reasoning for Neural Tensor Networks. -- C-XGBoost: A tree boosting model for causal effect estimation. -- FCGAN: Spectral Convolutions via FFT for Channel-Wide Receptive Field in Generative Adversarial Networks. -- Forecasting Longitudinal Acceleration in Urban Vehicles. -- Lip Recognition Based on Bi-GRU with Multi-Head Self-Attention. -- Multivariate Time-Series Methods with Uncertainty Estimation for Correcting Physics-Based Model: Comparisons and Generalization for Industrial Drilling Process. -- Towards robust Road Quality Detection using different Detection Models. -- Towards Semantically Conscious, Conversation-based Chatbot Services for Migrants. -- Using Boosting and Neural Networks Methods to Detect Healthcare Fraud. -- Artificial Intelligence Modeling of the Efficiency of a Biological Treatment Installation. -- Carbon-Aware Machine Learning: A case study on cellular traffic forecasting with Spiking Neural Networks. -- Emerging research topics identification using Temporal Graph Neural Networks. -- Explanations for Core Decomposition. -- Graph Neural Networks In PyTorch For Link Prediction In Industry 4.0 Process Graphs. -- Knowledge Graph Completion using Structural and Textual Embeddings. -- Lightweight Inference by Neural Network Pruning: Accuracy, Time and Comparison. -- Multi-Adaptive Neural Modelling of the Interplay of Changing Organisational Contexts, Epigenetics, and Personality Traits in the Development of Burnout. -- Parameterization of the Victor-Purpura distance for matching temporal neural activity patterns in real-time. -- A Constraint-Based Greedy-Local-Global Search for the Warehouse Location Problem. -- A Second-Order Adaptive Network Model for Political Opinion Dynamics. -- An evaluation framework for synthetic data generation models. -- Risk Assessment of COVID-19 Transmission on Cruise Ships Using Fuzzy Rules. -- Statistical Modeling of Univariate Unimodal Data using Π-sigmoid Mixture Models. -- Test Case Features as Hyper-heuristics for Inductive Programming.
• Sommario/riassunto: This book constitutes the refereed proceedings of the 20th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2024, held in Corfu, Greece, during June 27–30, 2024. The 100 full papers and 8 short papers included in this book were carefully reviewed and selected from 213 submissions. The diverse nature of papers presented demonstrates the vitality of AI algorithms and approaches. It certainly proves the very wide range of AI applications as well.