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Start Over Search Limiters Available in Library Collection Topic convolutional neural networks Publication Type Trade Publications Publication Type eBooks
5 results

1. Residual 3D U-Net with Localization for Brain Tumor Segmentation

Author

Demoustier, Marc, Khemir, Ines, Nguyen, Quoc Duong, Martin-Gaffé, Lucien, Boutry, Nicolas, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Crimi, Alessandro, editor, and Bakas, Spyridon, editor

Published
2022
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2. Modeling Multi-annotator Uncertainty as Multi-class Segmentation Problem

Author

Žukovec, Martin, Dular, Lara, Špiclin, Žiga, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Crimi, Alessandro, editor, and Bakas, Spyridon, editor

Published
2022
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3. Cutting Edge Glaucoma Research: A round-up of standout ARVO papers advancing glaucomatology.

Author

ROSS, AHMARA G.

Subjects
*CONVOLUTIONAL neural networks, *GLAUCOMA, *RETINAL ganglion cells, *MACULAR degeneration, *SUPERVISED learning
Abstract

The article delves into recent advancements in glaucoma research presented at ARVO 2023, focusing on emerging technologies like Detection of Apoptosing Retinal Cells (DARC) for early detection of glaucomatous cell damage. It also discusses the application of deep learning and artificial intelligence in diagnosing glaucoma and predicting disease progression, along with the development of potential therapies to improve patient care and quality of life.

Published
2024

4. Applications in Electronics Pervading Industry, Environment and Society. Sensing Systems and Pervasive Intelligence.

Author

Saponara, Sergio, Bellotti, Francesco, De Gloria, Alessandro, and Saponara, Sergio

Subjects
Technology: general issues, ANN, ARM, ASIC, ASIC standard-cell, Deep Neural Networks (DNNs), FPGA, HDL code generation, HW accelerator, LC-tank oscillator, PLL (phase-locked loop), SEE (single event effects), SHA2, STM32 Nucleo, SVM, SpaceFibre, Spacefibre, TID (total ionization dose), VLSI, X-Cube-AI, alternative representations to float numbers, autonomous driving, big data, biometric sensors, bitmap indexing, charge pump, coal mining, collaborative project methodology, connected and automated driving, convolutional neural networks, cyber security, decision trees, deep learning, deployment and field testing, digital circuit design, directional transform, discrete cosine transform, distillation, edge analytics, edge computing, embedded devices, embedded system, event-driven, face recognition, face verification, frequency divider, functional electrical stimulation, gradient descent, high-speed data transfer, impact assessment, inertial measurement unit, intelligent sensors, internet of things, interpolating polynomial, k-NN, knowledge management, machine learning, memory wall, model-based design, n/a, neural network activation functions, on-chip random number generator (RNG), phase/frequency detector, polyphase filter, posit arithmetic, processing in memory, quaternion, rad-hard, rad-hard circuits, radiation effects, resampling, research data collection and sharing, ring oscillator, spatial transformer network, support attitude, surface electromyography, unscented Kalman filter, vehicular sensors, video coding, wearable sensors
Abstract

Summary: This book features the manuscripts accepted for the Special Issue "Applications in Electronics Pervading Industry, Environment and Society-Sensing Systems and Pervasive Intelligence" of the MDPI journal Sensors. Most of the papers come from a selection of the best papers of the 2019 edition of the "Applications in Electronics Pervading Industry, Environment and Society" (APPLEPIES) Conference, which was held in November 2019. All these papers have been significantly enhanced with novel experimental results. The papers give an overview of the trends in research and development activities concerning the pervasive application of electronics in industry, the environment, and society. The focus of these papers is on cyber physical systems (CPS), with research proposals for new sensor acquisition and ADC (analog to digital converter) methods, high-speed communication systems, cybersecurity, big data management, and data processing including emerging machine learning techniques. Physical implementation aspects are discussed as well as the trade-off found between functional performance and hardware/system costs.

5. Image and Video Processing and Recognition Based on Artificial Intelligence.

Author

Park, Kang Ryoung, Kim, Euntai, Lee, Sangyoun, and Park, Kang Ryoung

Subjects
Technology: general issues, GC-LSTM model, HKPolyU-DB, K-nearest neighbors, Krawtchouk polynomials, Marr wavelets, RANSAC, SDUMLA-HMT-DB, Tchebichef polynomials, action recognition, active learning, armature, artificial image generation, artificial intelligence, autoencoders, bag of deep features, binarized statistical image features, biometrics, body orientation, bounding box regression, brain computer interface, building extraction, camera position, channel interaction, character recognition, common spatial patterns, computer vision, continuous wavelet transform, convolutional neural network, convolutional neural networks, crowd counting, cycle-consistent adversarial networks, data augmentation, deep convolutional neural networks, deep learning, depth map, domain adaptation, edges to photos, emotion recognition, entropy and response, epidermis, face image analysis, face parsing, face recognition, facial attributes classification, fast approximation, feature distillation, finger position, finger-vein recognition, fully convolutional networks, generative adversarial net, generative adversarial network, generative adversarial network (GAN), generative models, global context, graph matching, guidance, helicopter footage, heterogeneous database, high-resolution remote sensing image, homotopy iterative hard thresholding, image de-raining, image processing, image pyramid, image-to-image conversion, infrared circumferential scanning system, joint attention, label to photos, lighting, local context, loss function, malignant thyroid nodule, mask R-CNN, medical image fusion, monocular depth estimation, multi resolution network, multi-person, multi-scale decomposition, multi-task, multitask learning, normalized cross-correlation, object recognition, optimization, orthogonal moments, orthogonal polynomials, pathology, pose estimation, prediction system, presentation attack detection, presentation attack face images, remote sensing, residual network, satellite image, semantic segmentation, semi-supervised learning, single-sample face recognition, skin, social robotics, sparse coding, super-resolution, support vector machine, surface defect detection, surface inspection, target recognition, transfer learning, typhoon, ultrasound image, unobserved database, vehicle recognition, weighted binary cross-entropy loss
Abstract

Summary: This book includes 23 published papers on Special issues of "Image and Video Processing and Recognition Based on Artificial Intelligence" in the journal Sensors. The purpose of this Special Issue was to invite high-quality and state-of-the-art academic papers on challenging issues in the field of AI-based image and video processing and recognition.