Efficient Algorithms And Systems For Tiny Deep Learning
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Efficient Algorithms And Systems For Tiny Deep Learning
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Author : Ji Lin (Researcher in computer science)
language : en
Publisher:
Release Date : 2021
Efficient Algorithms And Systems For Tiny Deep Learning written by Ji Lin (Researcher in computer science) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Tiny machine learning on IoT devices based on microcontroller units (MCUs) enables various real-world applications (e.g., keyword spotting, anomaly detection). However, deploying deep learning models to MCUs is challenging due to the limited memory size: the memory of microcontrollers is 2-3 orders of magnitude smaller even than mobile phones. In this thesis, we study efficient algorithms and systems for tiny-scale deep learning. We propose MCUNet, a framework that jointly designs the efficient neural architecture (TinyNAS) and the lightweight inference engine (TinyEngine), enabling ImageNet-scale inference on microcontrollers. TinyNAS adopts a two-stage neural architecture search approach that first optimizes the search space to fit the resource constraints, then specializes the network architecture in the optimized search space. TinyNAS can automatically handle diverse constraints (i.e. device, latency, energy, memory) under low search costs. TinyNAS is co-designed with TinyEngine, a memory-efficient inference library to expand the search space and fit a larger model. TinyEngine adapts the memory scheduling according to the overall network topology rather than layer-wise optimization, reducing the memory usage by 3.4x, and accelerating the inference by 1.7-3.3x compared to TF-Lite Micro and CMSIS-NN. For vision applications on MCUs, we diagnosed and found that existing convolutional neural network (CNN) designs have an imbalanced peak memory distribution: the first several layers have much higher peak memory usage than the rest of the network. Based on the observation, we further extend the framework to support patch-based inference to break the memory bottleneck of the initial stage. MCUNet is the first to achieves>70% ImageNet top1 accuracy on an off-the-shelf commercial microcontroller, using 3.5x less SRAM and 5.7x less Flash compared to quantized MobileNetV2 and ResNet-18. On visual & audio wake words tasks, MCUNet achieves state-of-the-art accuracy and runs 2.4- 3.4x faster than MobileNetV2 and ProxylessNAS-based solutions with 3.7-4.1x smaller peak SRAM. Our study suggests that the era of always-on tiny machine learning on IoT devices has arrived.
Data Science And Big Data Analytics
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Author : Durgesh Mishra
language : en
Publisher: Springer Nature
Release Date : 2026-01-10
Data Science And Big Data Analytics written by Durgesh Mishra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-10 with Computers categories.
This book features high-quality research papers presented at the Fifth International Conference on Data Science and Big Data Analytics (IDBA 2025), organized by Symbiosis University of Applied Sciences, Indore, India, in association with ACM and IEEE Computer Society in hybrid mode during June 27–28, 2025. This book discusses topics such as data science, artificial intelligence, machine learning, quantum computing, big data and cloud security, computation security, big data security, information security, forecasting, data analytics, mathematics for data science, graph theory and application in data science, data visualization, computer vision, and analytics for social networks.
Tiny Machine Learning Techniques For Constrained Devices
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Author : Khalid El-Makkaoui
language : en
Publisher: CRC Press
Release Date : 2026-01-30
Tiny Machine Learning Techniques For Constrained Devices written by Khalid El-Makkaoui and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-30 with Computers categories.
Tiny Machine Learning Techniques for Constrained Devices explores the cutting-edge field of Tiny Machine Learning (TinyML), enabling intelligent machine learning on highly resource-limited devices such as microcontrollers and edge Internet of Things (IoT) nodes. This book provides a comprehensive guide to designing, optimizing, securing, and applying TinyML models in real-world constrained environments. This book offers thorough coverage of key topics, including: Foundations and Optimization of TinyML: Covers microcontroller-centric power optimization, core principles, and algorithms essential for deploying efficient machine learning models on embedded systems with strict resource constraints. Applications of TinyML in Healthcare and IoT: Presents innovative use cases such as compact artificial intelligence (AI) solutions for healthcare challenges, real-time detection systems, and integration with low-power IoT and low-power wide-area network (LPWAN) technologies. Security and Privacy in TinyML: Addresses the unique challenges of securing TinyML deployments, including privacy-preserving techniques, blockchain integration for secure IoT applications, and methods for protecting resource-constrained devices. Emerging Trends and Future Directions: Explores the evolving landscape of TinyML research, highlighting new applications, adaptive frameworks, and promising avenues for future investigation. Practical Implementation and Case Studies: Offers hands-on insights and real-world examples demonstrating TinyML in action across diverse scenarios, providing guidance for engineers, researchers, and students. This book is an essential resource for embedded system designers, AI practitioners, cybersecurity professionals, and academics who want to harness the power of TinyML for smarter, more efficient, and secure edge intelligence solutions.
Advanced Machine Learning And Deep Learning Algorithms
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Author : Dr.R.Balamanigandan
language : en
Publisher: SK Research Group of Companies
Release Date : 2024-12-21
Advanced Machine Learning And Deep Learning Algorithms written by Dr.R.Balamanigandan and has been published by SK Research Group of Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-21 with Computers categories.
Dr.R.Balamanigandan, Professor & Head, Department of Neural Networks, Institute of Computer Science & Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India. Dr.V.P.Gladis Pushparathi, Professor & Head, Department of CSE, Velammal Institute of Technology, Panchatti, Thiruvallur, Tamil Nadu, India. Mr.Sai Srinivas Vellela, Assistant Professor, Department of Computer Science & Engineering - Data Science, Chalapathi Institute of Technology, Guntur, Andhra Pradesh, India. Mrs.A.Mary Jenifer, JRF, Department of Neural Networks, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India.
Advanced Machine Intelligence And Signal Processing
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Author : Deepak Gupta
language : en
Publisher: Springer Nature
Release Date : 2022-06-25
Advanced Machine Intelligence And Signal Processing written by Deepak Gupta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-25 with Technology & Engineering categories.
This book covers the latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing, and their applications in real world. The topics covered in machine learning involve feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN), and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modeling from video, 3D object recognition, localization and tracking, medical image analysis, and so on. Computational learning theory involves different kinds of learning like incremental, online, reinforcement, manifold, multitask, semi-supervised, etc. Further, it covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. Additionally, it covers the recent developments to network intelligence for analyzing the network information and thereby adapting the algorithms dynamically to improve the efficiency. In the last, it includes the progress in signal processing to process the normal and abnormal categories of real-world signals, for instance signals generated from IoT devices, smart systems, speech, videos, etc., and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), and electromyogram (EMG).
Gis And Machine Learning For Small Area Classifications In Developing Countries
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Author : Adegbola Ojo
language : en
Publisher: CRC Press
Release Date : 2020-12-29
Gis And Machine Learning For Small Area Classifications In Developing Countries written by Adegbola Ojo and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-29 with Science categories.
Since the emergence of contemporary area classifications, population geography has witnessed a renaissance in the area of policy related spatial analysis. Area classifications subsume geodemographic systems which often use data mining techniques and machine learning algorithms to simplify large and complex bodies of information about people and the places in which they live, work and undertake other social activities. Outputs developed from the grouping of small geographical areas on the basis of multi- dimensional data have proved beneficial particularly for decision-making in the commercial sectors of a vast number of countries in the northern hemisphere. This book argues that small area classifications offer countries in the Global South a distinct opportunity to address human population policy related challenges in novel ways using area-based initiatives and evidence-based methods. This book exposes researchers, practitioners, and students to small area segmentation techniques for understanding, interpreting, and visualizing the configuration, dynamics, and correlates of development policy challenges at small spatial scales. It presents strategic and operational responses to these challenges in cost effective ways. Using two developing countries as case studies, the book connects new transdisciplinary ways of thinking about social and spatial inequalities from a scientific perspective with GIS and Data Science. This offers all stakeholders a framework for engaging in practical dialogue on development policy within urban and rural settings, based on real-world examples. Features: The first book to address the huge potential of small area segmentation for sustainable development, combining explanations of concepts, a range of techniques, and current applications. Includes case studies focused on core challenges that confront developing countries and provides thorough analytical appraisal of issues that resonate with audiences from the Global South. Combines GIS and machine learning methods for studying interrelated disciplines such as Demography, Urban Science, Sociology, Statistics, Sustainable Development and Public Policy. Uses a multi-method approach and analytical techniques of primary and secondary data. Embraces a balanced, chronological, and well sequenced presentation of information, which is very practical for readers.
Current Developments In Biosensors And Emerging Smart Technologies
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Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2025-07-30
Current Developments In Biosensors And Emerging Smart Technologies written by and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-30 with Technology & Engineering categories.
This book covers recent advancements in sensor technologies, emphasizing creative and innovative strategies that have significantly expanded our understanding of this topic. This book provides a thorough review of nanosystems and biosensors in biomedical applications, focusing on their functions in nanotechnology, healthcare, diagnostics, and therapeutic monitoring. Important subjects include antibiotic detection sensors, biomarker monitoring, early cancer detection, glucose sensing, and next-generation electrochemical biosensors for infectious disease diagnostics. Modern advancements in wearable digital sensors, colorimetric, smart sensors, and quantum biosensing technologies for drug development and pharmaceutical research are also covered in the book. Other chapters investigate high-throughput optical modulation biosensing platforms, integrated optical biosensors, and transdermal alcohol biosensors for detecting low-concentration biomarkers. These contributions offer a comprehensive understanding of the new instruments and methods that are advancing biosensing research.
The Design And Analysis Of Efficient Learning Algorithms
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Author : Robert E. Schapire
language : en
Publisher: MIT Press (MA)
Release Date : 1992
The Design And Analysis Of Efficient Learning Algorithms written by Robert E. Schapire and has been published by MIT Press (MA) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.
This monograph describes results derived from the mathematically oriented framework of computational learning theory.
1996 Ieee International Conference On Systems Man And Cybernetics
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Author :
language : en
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Release Date : 1996
1996 Ieee International Conference On Systems Man And Cybernetics written by and has been published by Institute of Electrical & Electronics Engineers(IEEE) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.
Manufacturing Systems And Industry Application
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Author : Yan Wen Wu
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2011-06-30
Manufacturing Systems And Industry Application written by Yan Wen Wu and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-30 with Technology & Engineering categories.
Selected, peer reviewed papers of the 2011 International Conference on Materials Engineering for Advanced Technologies, (ICMEAT 2011), May 5-6, 2011, Singapore, Singapore