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Emerging trends in microelectronics, communication and intelligent systemsproceedings of the international conference, ETMCIS 2024 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Emerging trends in microelectronics, communication and intelligent systemsedited by Samaresh Das, Dhairya S. Arya, Dipti Y. Sakhare.
其他題名:	proceedings of the international conference, ETMCIS 2024 /
其他題名:	ETMCIS 2024
其他作者:	Das, Samaresh.
團體作者:
出版者:	Singapore :Springer Nature Singapore :2025.
面頁冊數:	xxi, 557 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	MicroelectronicsCongresses.
電子資源:	https://doi.org/10.1007/978-981-96-6406-1
ISBN:	9789819664061$q(electronic bk.)

Emerging trends in microelectronics, communication and intelligent systemsproceedings of the international conference, ETMCIS 2024 /
Emerging trends in microelectronics, communication and intelligent systemsproceedings of the international conference, ETMCIS 2024 /[electronic resource] :ETMCIS 2024edited by Samaresh Das, Dhairya S. Arya, Dipti Y. Sakhare. - Singapore :Springer Nature Singapore :2025. - xxi, 557 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in electrical engineering,v. 14201876-1119 ;. - Lecture notes in electrical engineering ;v.132..

An Efficient Method for Early Detection System for Cardiovascular Disease using Ensemble Machine Learning Techniques -- Word Recognition Using DTW -- Classroom Activity Detection using TinyML -- Analysis of Different Antenna Array Patterns for Hybrid Beamforming in Massive MIMO -- Design and Implementation of Cyclic Redundancy Check for Downlink Transmission in NB-IoT -- Performance Evaluation of CPU and GPU Processors Using Advanced Data Analysis Techniques -- A Survey on Skin Disease Detection Techniques through Deep Learning -- Fatigue and Drowsiness Detection using CNN -- Neuromorphic Computing Using RRAM -- Development of wearable beat-to-beat blood pressure variability monitor using differential pulse arrival time -- Machine Learning Based Sleep Pattern Analysis Using Linear Regression Algorithm -- ViD-Vision in Dark: Object Detection in Low-Light Images -- Intelligent Energy Management Systems for Future Smart Cities -- Design and Implementation of Vedic BCD Multiplier on Artix 7 FPGA Board -- Optimizing Sentiment Analysis in Airline Feedback: Feature Selection Impact on Machine Learning Models -- Sentiment Analysis on Medical Discharge Summaries -- Navigation and Control of SCARA Robot using Automation Studio -- APP BASED LEAF DISEASE DETECTION USING IMAGE PRE PROCESSING AND DEEP LEARNING -- Voice Command Enabled Robotic Arm: Enhancing in Human-Robot Interaction -- Comparative Analysis of NLP using various Machine Learning Methods -- Diabetes Prediction Using Machine Learning Algorithms with Different Feature Scaling Techniques -- Face Recognition-Based Smart Attendance Monitoring System Using Liveness Check and Geofencing -- Nonlinear Autoregressive with exogenous input (NARX) Neural Network based Machine Learning model for Time-series Application -- An L-Band Log-Periodic Dipole antenna for Future Moroccan CubeSat Projects -- Anaemia Prediction from Conjunctiva Images: Leveraging Pre-trained CNNs for Feature Extraction and Traditional ML for Classification -- Segmentation and Classification of Pulmonary diseases using Artificial Neural Networks and Otsu-Region Based Method from Chest Radiographs -- Recent Advances in Routing Techniques for IoT-Based Networks: A Comparative Analysis -- Performance Analysis of Hybrid Metal-Graphene THz MIMO Antenna with Equivalent ECM -- Manufacturing Setup for 4nm Semiconductor Integrated Circuits in India: Current Scenario and Opportunities -- Ambulance Relocation Using Deep Reinforcement Learning -- A Graph Based Hybrid Approach for Abstractive Text Summarization using Fastformers to Study Different Performance Matrices -- Image Inpainting using Two Stage Generative Inpainting Network with Contextual Attention -- Maharashtra Engineering College Admission Prediction - A Solution Using Ensemble Machine Learning Model -- Design and Development of an Energy and Power Management Strategy for Dual Energy Storage System for E-Bicycle -- Influence of Micro Cavity Fill Factor on Sensitivity Performance of MOS-HEMT device based Biomolecule Detector -- Temporal Evaluation of SPI and RDI for Agricultural Drought Analysis in Ahmednagar from 1981-2021 -- EEG-based Cognitive load detection using pre-trained CNN -- ARTIFICIAL INTELLIGENCE BASED TRUST EVALUATION FOR ATTACKS DETECTION IN THE HEALTH-CARE DOMAIN -- Harvest Insight: Crop Yield Prediction Using Machine Learning Approach -- Averaged State Space Analysis of Single Phase Vienna Rectifier -- Performance Enhancement of Multiband Terahertz Patch Antennas Using Complementary Split Ring Reso-nators -- An Automated Approach for the Detection of Synthetic and Deepfake Media using Deep Learning.

This book comprises select proceedings from the International Conference on Emerging Trends in Microelectronics, Communication and Intelligent Systems (ETMCIS 2024). It explores the synergies and intersections between engineering, artificial intelligence, microelectronics, communication, and signal processing. The book showcases the forefront areas of research in engineering, presenting readers with up-to-date insights and breakthrough discoveries. It highlights the latest studies, methodologies, and experimental findings, ensuring readers stay at the forefront of knowledge in these rapidly evolving fields. The book emphasizes real-world examples and implementation strategies to help readers grasp how these technologies can be leveraged to solve complex problems and improve existing systems.

ISBN: 9789819664061$q(electronic bk.)

Standard No.: 10.1007/978-981-96-6406-1doiSubjects--Topical Terms:

438654
Microelectronics
--Congresses.

LC Class. No.: TK7874

Dewey Class. No.: 621.3815

Emerging trends in microelectronics, communication and intelligent systemsproceedings of the international conference, ETMCIS 2024 /
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