Search Results - Deep Space Network
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How can deep rectifier networks achieve linear separability and preserve distances?
Published 2015“…This paper investigates how hidden layers of deep rectifier networks are capable of transforming two or more pattern sets to be linearly separable while preserving the distances with a guaranteed degree, and proves the universal classification power of such distance preserving rectifier networks. …”
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An investigation on applicability of Wireless Sensor Network in Underground Space Monitoring and Communication Systems
Published 2015“…An automated underground space monitoring and communication system based on the integration of new technologies is introduced to promote safety and health, operational management and cost-effectiveness. …”
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Banana Seedlings Health Monitoring For Micro Air Vehicles Using Deep Convolutional Neural Network
Published 2021“…This research compares the performances of five YOLO and Single Shot MultiBox Detector (SSD) deep learning model architectures in predicting the health status of banana seedlings. …”
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Automated-tuned hyper-parameter deep neural network by using arithmetic optimization algorithm for Lorenz chaotic system
Published 2023“…Deep neural networks (DNNs) are very dependent on their parameterization and require experts to determine which method to implement and modify the hyper-parameters value. …”
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Deep face recognition in the wild
Published 2022“…Recent years have witnessed rapid development of face recognition technique in both academic and industrial fields with the advent of (a) large amounts of available annotated training datasets, (b) Convolutional Neural Network (CNN) based deep structures, (c) affordable, powerful computation resources and (d) advanced loss functions. …”
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Deep Reinforcement Learning For Control
Published 2021“…The complete project is carried out in the CARLA simulator to determine how to operate in discrete action space using Deep Reinforcement Learning (DRL) algorithms. …”
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An investigation of deep learning for image processing applications
Published 2018“…Significant strides have been made in computer vision over the past few years due to the recent development in deep learning, especially deep convolutional neural networks (CNNs). …”
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Deep learning for real world face alignment
Published 2019“…In summary, we address the following problems: (I) fitting faces found in large poses (Chapter 3), (II) in both 2D and 3D space (Chapter 4), creating in the process (III) the largest in-the-wild large pose 3D face alignment dataset (Chapter 4). …”
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Deep reinforcement learning approaches for multi-objective problem in Recommender Systems
Published 2022“…On the other hand, the evolutionary algorithm is notorious with premature convergence issue and suffering from curse of dimensionality. This study proposes deep reinforcement learning approaches based on Deep Q-Network to improve multi-objective optimization in recommendation environment and investigated its capability to optimizing precision, novelty, and diversity concurrently. …”
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Comparative analysis and how efficient deep learning methods of malware detection
Published 2024“…Four deep learning methods which include Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN), and Gated Recurrent Unit (GRU) are evaluated and compared for accuracy, precision, recall, and F-measure. …”
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Multi-source data fusion for land use classification using deep learning
Published 2021“…Specifically, a deep neural network was used to extract semantic features from sparsely distributed street view images, and the features were further interpolated in the spatial domain to match the aerial images, which were then fused together through a deep fusion neural network for pixel-level land use classification. …”
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An investigation into visual content understanding based on deep learning and natural language processing
Published 2019“…We do this by introducing a set of semantic attributes derived from a joint image and text corpora. Then we re-train a deep constitutional neural network to produce visual and semantic features simultaneously. …”
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CNN-MobilenetV2- deep learning-based Alzheimer's disease prediction and classification
Published 2023“…A classification method is employed in the newly generated space to categorize data into three classes namely, Normal Condition (NC), MCI, and AD using Convolution Neural Network (CNN)-MobileNetV2. …”
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