• Kapcsolat

  • Hírlevél

  • Rólunk

  • Szállítási lehetőségek

  • Prospero könyvpiaci podcast

  • Hírek

  • Intelligence Science V: 6th IFIP TC 12 International Conference, ICIS 2024, Nanjing, China, October 25–28, 2024, Proceedings

    Intelligence Science V by Shi, Zhongzhi; Witbrock, Michael; Tian, Qi;

    6th IFIP TC 12 International Conference, ICIS 2024, Nanjing, China, October 25–28, 2024, Proceedings

    Sorozatcím: IFIP Advances in Information and Communication Technology; 720;

      • 20% KEDVEZMÉNY?

      • A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.
      • Kiadói listaár EUR 106.99
      • Az ár azért becsült, mert a rendelés pillanatában nem lehet pontosan tudni, hogy a beérkezéskor milyen lesz a forint árfolyama az adott termék eredeti devizájához képest. Ha a forint romlana, kissé többet, ha javulna, kissé kevesebbet kell majd fizetnie.

        44 374 Ft (42 261 Ft + 5% áfa)
      • Kedvezmény(ek) 20% (cc. 8 875 Ft off)
      • Kedvezményes ár 35 499 Ft (33 809 Ft + 5% áfa)

    44 374 Ft

    db

    Beszerezhetőség

    Megrendelésre a kiadó utánnyomja a könyvet. Rendelhető, de a szokásosnál kicsit lassabban érkezik meg.

    Why don't you give exact delivery time?

    A beszerzés időigényét az eddigi tapasztalatokra alapozva adjuk meg. Azért becsült, mert a terméket külföldről hozzuk be, így a kiadó kiszolgálásának pillanatnyi gyorsaságától is függ. A megadottnál gyorsabb és lassabb szállítás is elképzelhető, de mindent megteszünk, hogy Ön a lehető leghamarabb jusson hozzá a termékhez.

    Hosszú leírás:

    This book constitutes the refereed proceedings of the 6th IFIP TC 12 International Conference on Intelligence Science, ICIS 2024, held in Nanjing, China, in October 25-28, 2024.

    The 23 full papers and 2 short papers presented here were carefully reviewed and selected from 32 submissions. These papers have been categorized into the following sections: Machine Learning; Causal Reasoning; Large Language Model; Intelligent Robot; Perceptual Intelligence; AI for Science; Medical Artificial Intelligence.

    Több

    Tartalomjegyzék:

    .-Machine Learning.

    .- Difference-Enhanced Learning of the Deep Semantic Segmentation Networks for First Break Picking.

    .- A Framework of Reinforcement Learning for Truncated L ́evy Flight Exploratory.

    .- Detection of depression in EEG Signals Based on Convolutional transformer and adaptive transfer learning.

    .- Twin Bounded Least Squares Support Vector Regression.

    .-MLEE: Event Extraction as Multi-Label Classification Task at Token Level.

    .- Research on Improvement of Sweeping Learning Chain Algorithm Based on Factor Space Theory.

    .- End-to-End Control of a Quadrotor Using Gaussian Ensemble Model-Based Reinforcement Learning.

    .- Causal Reasoning.

    .- Research on the Causal Forest Algorithm based on Factor Space Theory.

    .- Superpositioner – A Non-logical Computation Model.

    .- Research on Factor Support Vector Multi-classification Algorithm based on Factor Space Theory.

    .- Large Language Model.

    .-Improve LLM Inference Performance with Matrix Decomposition Strategies.

    .- Intelligent Robot.

    .- Trajectory Prediction of Unmanned Surface Vehicle Based on Improved Transformer.

    .- Deep Neural Network Based Relocalization of Mobile Robot in Visual SLAM.

    .- A Vision-Based Method for UAV Autonomous Landing Area Detection.

    .- Perceptual Intelligence.

    .- Research on Object Detection for Intelligent Sensing of Navigation Mark in Yangtze River.

    .- Cascaded Sliding-Window-based Relativistic GAN Fusion for Perceptual and Consistent Video Super-Resolution.

    .- Integration of Raman Spectroscopy, On-line Microscopic Imaging and Deep learning-based Image Analysis for Real-time Monitoring of Cell Culture Process.

    .- DRL-SLAM: Enhanced Object Detection Fusion with Improved YOLOv8.

    .- Driver Fatigue Recognition Based on EEG Signal and Semi-Supervised Learning.

    .- SC-EcapaTdnn : ECAPA-TDNN with Separable Convolutional for Speaker Recognition.

    .- AI for Science.

    .- Evolving Financial Markets: The Impact and Efficiency of AI-Driven Trading Strategies.

    .-DSFM Method: A New Approach to Enhancing Discrimination Ability on AI-Generated Datasets.

    .- Medical Artificial Intelligence.

    .- Enhancing Weakly Supervised Medical Segmentation via Heterogeneous Co-training with Box-wise Augmentation and Pseudo-label Filtering.

    .- FCGA-Former: A Hybrid Factor Space Classification Model for Predicting the Tumor Mutation Burden of Lung Adenocarcinoma.

    Több