The proceedings contain 93 papers. The topics discussed include: cache-enabled federated learning systems;incentive mechanism design for federated learning and unlearning;anarchic federated learning with delayed gradi...
ISBN:
(纸本)9781450399265
The proceedings contain 93 papers. The topics discussed include: cache-enabled federated learning systems;incentive mechanism design for federated learning and unlearning;anarchic federated learning with delayed gradient averaging;connectivity-aware semi-decentralized federated learning over time-varying D2D networks;2ACE: spectral profile-driven multi-resolutional compressive sensing for mmWave channel estimation;a new paradigm of communication-aware collaborative positioning for FutureG wireless systems;AirFC: designing fully connected layers for neural networks with wireless signals;age of information diffusion on social networks: optimizing multi-stage seeding strategies;a whittle index policy for the remote estimation of multiple continuous Gauss-Markov processes over parallel channels;age minimization with energy and distortion constraints;on a continuous-time martingale and two applications;and network utility maximization with unknown utility functions: a distributed, data-driven bilevel optimization approach.
The increasing demand for flexible and efficient optical networks has led to the development of Software-Defined Elastic Optical networks (SD-EONs). These networks leverage the programmability of Software-Defined Netw...
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NVIDIA's H100 Confidential Computing (CC) counters the security hazards inherent in cloud AI workloads. It enforces data encryption to achieve data confidentiality, which leads to substantial throughput reductions...
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This research explores the application of deep learning techniques to classify species and sex of Leptograpsus crabs. The dataset comprised of various morphological measurements, that included the carapace width and l...
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ISBN:
(纸本)9783031829307;9783031829314
This research explores the application of deep learning techniques to classify species and sex of Leptograpsus crabs. The dataset comprised of various morphological measurements, that included the carapace width and length. A convolutional neural network (CNNs) for feature extraction and classification was used. The study achieved 97.5% accuracy for species classification and 95% accuracy for sex classification, with high ROC AUC values (1.0 for species and 0.99 for sex). To ensure model robustness overfitting prevention strategies, such as early stopping and dropout layers, were employed. Additionally, SHAP analysis identified carapace width and carapace length as the most influential features. This research demonstrates the efficacy of advanced AI methodologies in biological classification, contributing to both artificial intelligence and ecological research, with potential applications in biodiversity monitoring and conservation efforts.
The proceedings contain 331 papers. The topics discussed include: research on computer aided French audiovisual intelligence system;feature extraction and intelligent generation of spatial environment design combined ...
ISBN:
(纸本)9798350373646
The proceedings contain 331 papers. The topics discussed include: research on computer aided French audiovisual intelligence system;feature extraction and intelligent generation of spatial environment design combined with deep learning;a federated learning algorithm based on combination of prototype and comparative learning;research on the optimization of wind-solar energy storage systems in park microgrids based on mixed integer linear programming and Monte Carlo simulation;deep learning in biometric recognition: applications and challenges;design and research of virtual human based on deep learning and paddle model;a fault diagnosis method based on TCN-LSTM-SE neural networks for distributed PV systems;and research on real-time image data transmission system of UAV in fault location of distribution network.
This study introduces a methodology enabling automated vehicles to perform lane changes effectively within complex road systems. It emphasizes a hierarchical driver behavior framework that integrates decision-making w...
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Cybersecurity has become very important due the rapid growth of digital technologies. It plays an important role in protecting computersystems and networks from potential attacks. Cybersecurity involves a set of tech...
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The identification of communities within social networks holds paramount importance in scientific investigations and social network analyses. Communities refer to compact clusters of nodes that exhibit stronger interc...
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In a cross, multi-system world, blockchain technology is rapidly used to facilitate transaction security and safety, supply - Chain, cryptographic protocols, and identity authentication. This facilitation occurs becau...
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Above a certain level of complexity, effects appear that reduce the performance of a parallel system. In the context of one-chip parallel computing systems, common parallel patterns can sometimes be expressed as circu...
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