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Ultime notizie sulle reti neurali

Di seguito sono riportati estratti delle ultime notizie sulle reti neurali trovate online, protette da copyright e con collegamento diretto ai rispettivi autori. Trovato, selezionato e ordinato. Qualsiasi problema o fonte aggiuntiva che desideri includere qui, ti preghiamo di contattarci.

  • Remote Sensing, Vol. 15, Pages 2832: From Model-Based Optimization Algorithms to...
    Hyperspectral images (HSIs), captured by different Earth observation airborne and space-borne systems, provide rich spectral information in hundreds of bands, enabling far better discrimination between ground materials that are often indistinguishable in visible and multi-spectral images. Clustering of HSIs, which aims to unveil class patterns in an unsupervised way, is...
    Fonte: MDPI by Shaoguang Huang
  • RAND: Robustness Aware Norm Decay For Quantized Seq2seq Models. (arXiv:2305.1553...
    With the rapid increase in the size of neural networks, model compression has become an important area of research. Quantization is an effective technique at decreasing the model size, memory access, and compute load of large models. Despite recent advances in quantization aware training (QAT) technique, most papers present evaluations...
    Fonte: arXiv.org | EESS by <a href="http://arxiv.org/find/eess/1/au:+Qiu_D/0/1/0/all/0/1">David Qiu</a>, <a href="http://arxiv.org/find/eess/1/au:+Rim_D/0/1/0/all/0/1">David Rim</a>, <a href="http://arxiv.org/find/eess/1/au:+Ding_S/0/1/0/all/0/1">Shaojin Ding</a>, <a href="http://arxiv.org/find/eess/1/au:+Rybakov_O/0/1/0/all/0/1">Oleg Rybakov</a>, <a href="http://arxiv.org/find/eess/1/au:+He_Y/0/1/0/all/0/1">Yanzhang He</a>
  • Regularized Neural Detection for One-Bit Massive MIMO Communication Systems. (ar...
    Detection for one-bit massive MIMO systems presents several challenges especially for higher order constellations. Recent advances in both model-based analysis and deep learning frameworks have resulted in several robust one-bit detector designs. Our work builds on the current state-of-the-art gradient descent (GD)-based detector. We introduce two novel contributions in our...
    Fonte: arXiv.org | EESS by <a href="http://arxiv.org/find/eess/1/au:+Sant_A/0/1/0/all/0/1">Aditya~Sant</a>, <a href="http://arxiv.org/find/eess/1/au:+Rao_B/0/1/0/all/0/1">Bhaskar D. Rao</a>
  • Fast Adversarial CNN-based Perturbation Attack on No-Reference Image- and Video-...
    Modern neural-network-based no-reference image- and video-quality metrics exhibit performance as high as full-reference metrics. These metrics are widely used to improve visual quality in computer vision methods and compare video processing methods. However, these metrics are not stable to traditional adversarial attacks, which can cause incorrect results. Our goal is...
    Fonte: arXiv.org | EESS by <a href="http://arxiv.org/find/cs/1/au:+Shumitskaya_E/0/1/0/all/0/1">Ekaterina Shumitskaya</a>, <a href="http://arxiv.org/find/cs/1/au:+Antsiferova_A/0/1/0/all/0/1">Anastasia Antsiferova</a>, <a href="http://arxiv.org/find/cs/1/au:+Vatolin_D/0/1/0/all/0/1">Dmitriy Vatolin</a>
  • Advanced Medical Image Representation for Efficient Processing and Transfer in M...
    An important topic in medical research is the process of improving the images obtained from medical devices. As a consequence, there is also a need to improve medical image resolution and analysis. Another issue in this field is the large amount of stored medical data [16]. Human brain databases at...
    Fonte: arXiv.org | EESS by <a href="http://arxiv.org/find/eess/1/au:+Apostol_E/0/1/0/all/0/1">Elena-Simona Apostol</a>, <a href="http://arxiv.org/find/eess/1/au:+Truica_C/0/1/0/all/0/1">Ciprian-Octavian Truică</a>
  • Deep Learning-enabled MCMC for Probabilistic State Estimation in District Heatin...
    Flexible district heating grids form an important part of future, low-carbon energy systems. We examine probabilistic state estimation in such grids, i.e., we aim to estimate the posterior probability distribution over all grid state variables such as pressures, temperatures, and mass flows conditional on measurements of a subset of these...
    Source: arXiv.org | Computer Science by <a href="http://arxiv.org/find/cs/1/au:+Bott_A/0/1/0/all/0/1">Andreas Bott</a>, <a href="http://arxiv.org/find/cs/1/au:+Janke_T/0/1/0/all/0/1">Tim Janke</a>, <a href="http://arxiv.org/find/cs/1/au:+Steinke_F/0/1/0/all/0/1">Florian Steinke</a>
  • Task-aware Distributed Source Coding under Dynamic Bandwidth. (arXiv:2305.15523v...
    Efficient compression of correlated data is essential to minimize communication overload in multi-sensor networks. In such networks, each sensor independently compresses the data and transmits them to a central node due to limited communication bandwidth. A decoder at the central node decompresses and passes the data to a pre-trained machine...
    Source: arXiv.org | Computer Science by <a href="http://arxiv.org/find/cs/1/au:+Li_P/0/1/0/all/0/1">Po-han Li</a>, <a href="http://arxiv.org/find/cs/1/au:+Ankireddy_S/0/1/0/all/0/1">Sravan Kumar Ankireddy</a>, <a href="http://arxiv.org/find/cs/1/au:+Zhao_R/0/1/0/all/0/1">Ruihan Zhao</a>, <a href="http://arxiv.org/find/cs/1/au:+Mahjoub_H/0/1/0/all/0/1">Hossein Nourkhiz Mahjoub</a>, <a href="http://arxiv.org/find/cs/1/au:+Moradi_Pari_E/0/1/0/all/0/1">Ehsan Moradi-Pari</a>, <a href="http://arxiv.org/find/cs/1/au:+Topcu_U/0/1/0/all/0/1">Ufuk Topcu</a>, <a href="http://arxiv.org/find/cs/1/au:+Chinchali_S/0/1/0/all/0/1">Sandeep Chinchali</a>, <a href="http://arxiv.org/find/cs/1/au:+Kim_H/0/1/0/all/0/1">Hyeji Kim</a>
  • Facial Expression Recognition at the Edge: CPU vs GPU vs VPU vs TPU. (arXiv:2305...
    Facial Expression Recognition (FER) plays an important role in human-computer interactions and is used in a wide range of applications. Convolutional Neural Networks (CNN) have shown promise in their ability to classify human facial expressions, however, large CNNs are not well-suited to be implemented on resource- and energy-constrained IoT devices....
    Source: arXiv.org | Computer Science by <a href="http://arxiv.org/find/cs/1/au:+Mohammadi_M/0/1/0/all/0/1">Mohammadreza Mohammadi</a>, <a href="http://arxiv.org/find/cs/1/au:+Smith_H/0/1/0/all/0/1">Heath Smith</a>, <a href="http://arxiv.org/find/cs/1/au:+Khan_L/0/1/0/all/0/1">Lareb Khan</a>, <a href="http://arxiv.org/find/cs/1/au:+Zand_R/0/1/0/all/0/1">Ramtin Zand</a>
  • PulseNet: Deep Learning ECG-signal classification using random augmentation poli...
    Evaluating canine electrocardiograms (ECG) require skilled veterinarians, but current availability of veterinary cardiologists for ECG interpretation and diagnostic support is limited. Developing tools for automated assessment of ECG sequences can improve veterinary care by providing clinicians real-time results and decision support tools. We implement a deep convolutional neural network (CNN)...
    Source: arXiv.org | Computer Science by <a href="http://arxiv.org/find/eess/1/au:+Dourson_A/0/1/0/all/0/1">Andre Dourson</a>, <a href="http://arxiv.org/find/eess/1/au:+Santilli_R/0/1/0/all/0/1">Roberto Santilli</a>, <a href="http://arxiv.org/find/eess/1/au:+Marchesotti_F/0/1/0/all/0/1">Federica Marchesotti</a>, <a href="http://arxiv.org/find/eess/1/au:+Schneiderman_J/0/1/0/all/0/1">Jennifer Schneiderman</a>, <a href="http://arxiv.org/find/eess/1/au:+Stiel_O/0/1/0/all/0/1">Oliver Roman Stiel</a>, <a href="http://arxiv.org/find/eess/1/au:+Junior_F/0/1/0/all/0/1">Fernando Junior</a>, <a href="http://arxiv.org/find/eess/1/au:+Fitzke_M/0/1/0/all/0/1">Michael Fitzke</a>, <a href="http://arxiv.org/find/eess/1/au:+Sithirangathan_N/0/1/0/all/0/1">Norbert Sithirangathan</a>, <a href="http://arxiv.org/find/eess/1/au:+Walleser_E/0/1/0/all/0/1">Emil Walleser</a>, <a href="http://arxiv.org/find/eess/1/au:+Qiao_X/0/1/0/all/0/1">Xiaoli Qiao</a>, <a href="http://arxiv.org/find/eess/1/au:+Parkinson_M/0/1/0/all/0/1">Mark Parkinson</a>
  • Mining, Vol. 3, Pages 304-333: Application of Soft Computing, Statistical and Mu...
    Blasting operations in open-pit mines generally have various management strategies relating to flyrock. There are empirical models for calculating the flyrock distance, but due to the complexity and uncertainty of rock properties and their interactions with blasting properties, there are still no models that can predict the flyrock distance that...
    Fonte: MDPI by Mohammad Babaeian
  • Processes, Vol. 11, Pages 1621: Using Ant Colony Optimization as a Method for Se...
    The scaling of oil pipelines over time leads to issues including diminished flow rates, wasted energy, and decreased efficiency. To take appropriate action promptly and avoid the aforementioned issues, it is crucial to determine the precise value of the scale within the pipe. Non-invasive gamma attenuation systems are one of...
    Fonte: MDPI by Abdulilah Mohammad Mayet
  • Probabilistic AI that knows how well it’s working
    It’s more important than ever for artificial intelligence to estimate how accurately it is explaining data....
    Fonte: MIT: Ricerca by Rachel Paiste | Department of Brain and Cognitive Sciences
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