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Mandal J.K., Hinchey M., Sreenivas Rao K. (eds.) Innovations in Signal Processing and Embedded Systems: Proceedings of ICISPES 2021

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Mandal J.K., Hinchey M., Sreenivas Rao K. (eds.) Innovations in Signal Processing and Embedded Systems: Proceedings of ICISPES 2021
Springer, 2022. — 489 p.
This book covers four sections such as artificial intelligence and machine learning; VLSI and signal processing; robotics and automation; and communications and networking. This book is a collection of selected papers presented at the First International Conference on Innovations in Signal Processing and Embedded Systems (ICISPES 2021), organized by MLR Institute of Technology, Hyderabad, India, during October 22–23, 2021. The topics covered are advanced communication technologies, IoT-based systems and applications, application AI in computer vision, natural language processing, reinforcement learning, ANN and deep neural networks, RNN, GAN, CNN and RBM, SOC, NOC design, VLSI and CAD/CAM, cross-layer design, fault tolerance and computation theories, FPGA in outer space, nanotechnology, semiconductor technology, signal and image processing, high-performance computing, pattern recognition and computer vision innovations in robotics, reconfigurable robots, and MEMS/NEMS.
Preface
About the Editors
E-Voting System Using Blockchain
Video-Based Abnormal Driving Behavior Detection and Risk Control Using Machine Learning
Design and Development of IoT-Based Women Auspice System by Using NodeMCU
Efficient Identity-Based Integrity Auditing for Cloud Storage and Data Sharing
High‑speed 4:2 Compressor Toward Image Processing
Double MAC Supported CNN Accelerator
Hybrid Cryptosystem’s Design with AES and SHA-1 Algorithms
BTI Reliability Analysis of Low Leakage Fully Half-Select-Robust Free SRAM Design
An Efficient Implementation of Programmable IIR Filter for FPGA
ASIC Implementation of Division Circuit Using Reversible Logic Gates Applicable in ALUs
Operation of Asymmetric Hopfield Associative Memory: Orientation Selectivity
Intelligent Traffic Monitoring Systems Using Deep Learning Algorithms
Multi-layer Hopfield Like Neural Network
Applications of Artificial Intelligence for Autonomous Landing and Multicopter Unmanned Aerial Vehicles Design by Space Exploration Machines
Automated Skin Disease Detection Using Machine Learning Techniques
FinFET-Based SRAM Design Using MGDI Technique for Ultra-Low-Power Applications
Design and Implementation of Efficient Counter-Based IoT DDoS Attacks Detection System Using Machine Learning
Advancements of Artificial Intelligence in Microbiological Study by Extraction and Identification of Different Micro-organism Clusters
Rice Disease Detection and Classification Using Artificial Intelligence
Network Intrusion Detection Using Machine Learning for Virtualized Data
Detection of Human Behavior Using Swarm Technique and Neural Networks
Machine Learning-Based Approach for Classification of Weed Images
Intelligence Speech Has Collapsed and Talking Unconsciously Circumstance Using Diva Module
A Wavelet-Based De-Noising Speech Signal Performance with Objective Measures
Multispectral Image Compression Using Adaptive Thresholding in Wavelet Domain with Binary Plane Techniques
Privacy Ensured Transmission of Healthcare Records Using IoT-Enabled Systems
Double MAC: Boosting the Performance of ResNet Architecture of CNN Using ASIC
Implementation of Nano Communication Network Using Advanced QCA Based Nano Technology
Plant Watering and Monitoring System Using IoT and Cloud Computing
An Embedded Microcontroller for Plant Condition Monitoring Using Wireless Sensor Network (WSN)
Review Paper on Safety Devices for Women
Implementation of True Random Number Generator with Switchable Ring Oscillator on Xilinx ISE Environment
Human Face, Eye and Iris Detection in Real-Time Using Image Processing
IoT-Aware Waste Management System Based on Cloud Services and Ultra-Low-Power RFID Sensor-Tags
Vehicle Collision Avoidance System Using V2I Protocol in Vehicular Ad Hoc Network
Progressive Convolutional Recurrent Neural Networks for Speech Enhancement
Deep Learning-Based Intelligent Traffic Monitoring Systems
Power Efficient Multistage Linear Feedback Shift Register Counters Design in 130-nm CMOS for Large-Scale Applications
Raspberry Pi-Based Smart Attendance Management System with Improved Version of RFID Over IoT
Mitigation of Multipath Effects Based on a Robust Fractional Order Bidirectional Least Mean Square (FOBLMS) Beamforming Algorithm for GPS Receivers
Design of Low-Power Reverse Carry Propagate Adder Using FinFET
Design and Characterization of Microstrip Patch Antenna Using Octagonal EBG Periodic Structures
Author Index
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