Optimization Of Spiking Neural Networks For Radar Applications
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Optimization Of Spiking Neural Networks For Radar Applications
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Author : Muhammad Arsalan
language : en
Publisher: Springer Nature
Release Date : 2024-09-01
Optimization Of Spiking Neural Networks For Radar Applications written by Muhammad Arsalan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-01 with Computers categories.
This book offers a comprehensive exploration of the transformative role that edge devices play in advancing Internet of Things (IoT) applications. By providing real-time processing, reduced latency, increased efficiency, improved security, and scalability, edge devices are at the forefront of enabling IoT growth and success. As the adoption of AI on the edge continues to surge, the demand for real-time data processing is escalating, driving innovation in AI and fostering the development of cutting-edge applications and use cases. Delving into the intricacies of traditional deep neural network (deepNet) approaches, the book addresses concerns about their energy efficiency during inference, particularly for edge devices. The energy consumption of deepNets, largely attributed to Multiply-accumulate (MAC) operations between layers, is scrutinized. Researchers are actively working on reducing energy consumption through strategies such as tiny networks, pruning approaches, and weight quantization. Additionally, the book sheds light on the challenges posed by the physical size of AI accelerators for edge devices. The central focus of the book is an in-depth examination of SNNs' capabilities in radar data processing, featuring the development of optimized algorithms.
Neuromorphic Solutions For Sensor Fusion And Continual Learning Systems
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Author : Ali Safa
language : en
Publisher: Springer Nature
Release Date : 2024-07-17
Neuromorphic Solutions For Sensor Fusion And Continual Learning Systems written by Ali Safa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-17 with Technology & Engineering categories.
This book provides novel theoretical foundations and experimental demonstrations of Spiking Neural Networks (SNNs) in tasks such as radar gesture recognition for IoT devices and autonomous drone navigation using a fusion of retina-inspired event-based camera and radar sensing. The authors describe important new findings about the Spike-Timing-Dependent Plasticity (STDP) learning rule, which is widely believed to be one of the key learning mechanisms taking place in the brain. Readers will be enabled to create novel classes of edge AI and robotics applications, using highly energy- and area-efficient SNNs
Neural Computing For Advanced Applications
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Author : Haijun Zhang
language : en
Publisher: Springer Nature
Release Date : 2024-09-21
Neural Computing For Advanced Applications written by Haijun Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-21 with Computers categories.
This book constitutes the refereed proceedings of the 5th International Conference on Neural Computing for Advanced Applications, NCAA 2024, held in Guilin, China, during July 5–7, 2024. The 89 revised full papers presented in these proceedings were carefully reviewed and selected from 227 submissions. The papers are organized in the following topical sections: Part I: Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications; Computer vision, and their engineering applications. Part II: Computational intelligence, nature-inspired optimizers, their engineering applications, and benchmarks. Part III: Natural language processing, knowledge graphs, recommender systems, multimodal Deep Learning, and their applications; Fault diagnosis and forecasting, prognostic management, Time-series analysis, and cyber-physical system security.
Hardware For Artificial Intelligence
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Author : Alexantrou Serb
language : en
Publisher: Frontiers Media SA
Release Date : 2022-09-26
Hardware For Artificial Intelligence written by Alexantrou Serb and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-26 with Science categories.
Machine Learning Applications In Civil Engineering
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Author : Kundan Meshram
language : en
Publisher: Elsevier
Release Date : 2023-09-29
Machine Learning Applications In Civil Engineering written by Kundan Meshram and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-29 with Technology & Engineering categories.
Machine Learning Applications in Civil Engineering discusses machine learning and deep learning models for different civil engineering applications. These models work for stochastic methods wherein internal processing is done using randomized prototypes. The book explains various machine learning model designs that will assist researchers to design multi domain systems with maximum efficiency. It introduces Machine Learning and its applications to different Civil Engineering tasks, including Basic Machine Learning Models for data pre-processing, models for data representation, classification models for Civil Engineering Applications, Bioinspired Computing models for Civil Engineering, and their case studies. Using this book, civil engineering students and researchers can deep dive into Machine Learning, and identify various solutions to practical Civil Engineering tasks. - Introduces various ML models for Civil Engineering Applications that will assist readers in their analysis of design and development interfaces for building these applications - Reviews different lacunas and challenges in current models used for Civil Engineering scenarios - Explores designs for customized components for optimum system deployment - Explains various machine learning model designs that will assist researchers to design multi domain systems with maximum efficiency
Neural Information Processing
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Author : Mohammad Tanveer
language : en
Publisher: Springer Nature
Release Date : 2023-04-12
Neural Information Processing written by Mohammad Tanveer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-12 with Computers categories.
The three-volume set LNCS 13623, 13624, and 13625 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22–26, 2022. The 146 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
The Evaluation Of Current Spiking Neural Network Conversion Methods In Radar Data
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Author : Colton C. Smith
language : en
Publisher:
Release Date : 2021
The Evaluation Of Current Spiking Neural Network Conversion Methods In Radar Data written by Colton C. Smith and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Deep learning (Machine learning) categories.
The continued growth and application of deep learning has resulted in a vast increase in energy and computational requirements. Biologically inspired spiking neural networks (SNNs) and neuromorphic hardware pose one possible solution to this issue. Optimization of these methods, however, remains difficult and less effective compared with that of traditional artificial neural networks (ANNs). A number of methods have been recently proposed to optimize SNNs through the conversion of architecturally equivalent ANNs. However, most benchmarking of these methods has only been done separately through experiments in the respective papers. Therefore, the performance of the solutions is inevitably biased due to the differences in levels and goals of optimization. Moreover, certain papers also relied heavily on architectural improvements to the base ANN which can be separated from the actual method of conversion [1] [2]. In this thesis, we thoroughly evaluate and compare the performance of the major ANN-to SNN conversion solutions based on a new set of performance metrics we proposed. Additionally, we implement expansions to certain methods, allowing for more comprehensive and fair comparisons. Furthermore, the hyperparameters of each method are optimized uniformly to reduce biases towards specific methods. Our implementations and comparisons of SNN solutions are carried out on one-dimensional radar data. To the best of our knowledge, this is the first such effort in the domain of radar applications.
Real Life Applications With Membrane Computing
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Author : Gexiang Zhang
language : en
Publisher: Springer
Release Date : 2017-04-05
Real Life Applications With Membrane Computing written by Gexiang Zhang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-05 with Technology & Engineering categories.
This book thoroughly investigates the underlying theoretical basis of membrane computing models, and reveals their latest applications. In addition, to date there have been no illustrative case studies or complex real-life applications that capitalize on the full potential of the sophisticated membrane systems computational apparatus; gaps that this book remedies. By studying various complex applications – including engineering optimization, power systems fault diagnosis, mobile robot controller design, and complex biological systems involving data modeling and process interactions – the book also extends the capabilities of membrane systems models with features such as formal verification techniques, evolutionary approaches, and fuzzy reasoning methods. As such, the book offers a comprehensive and up-to-date guide for all researchers, PhDs and undergraduate students in the fields of computer science, engineering and the bio-sciences who are interested in the applications of natural computing models.
Advanced Planning Control And Signal Processing Methods And Applications In Robotic Systems
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Author : Zhan Li
language : en
Publisher: Frontiers Media SA
Release Date : 2022-02-22
Advanced Planning Control And Signal Processing Methods And Applications In Robotic Systems written by Zhan Li and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-22 with Science categories.
Handbook Of Unconventional Computing In 2 Volumes
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Author : Andrew Adamatzky
language : en
Publisher: World Scientific
Release Date : 2021-08-18
Handbook Of Unconventional Computing In 2 Volumes written by Andrew Adamatzky and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-18 with Computers categories.
Did you know that computation can be implemented with cytoskeleton networks, chemical reactions, liquid marbles, plants, polymers and dozens of other living and inanimate substrates? Do you know what is reversible computing or a DNA microscopy? Are you aware that randomness aids computation? Would you like to make logical circuits from enzymatic reactions? Have you ever tried to implement digital logic with Minecraft? Do you know that eroding sandstones can compute too?This volume reviews most of the key attempts in coming up with an alternative way of computation. In doing so, the authors show that we do not need computers to compute and we do not need computation to infer. It invites readers to rethink the computer and computing, and appeals to computer scientists, mathematicians, physicists and philosophers. The topics are presented in a lively and easily accessible manner and make for ideal supplementary reading across a broad range of subjects.Related Link(s)