This study presents the development of a system for real-time monitoring of brain signals using a wearable device equipped with a single-channel EEG sensor. Brain signals, acquired through a custom-designed data acqui...
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Global mortality is high due to cardiac disease, which affects heart anatomy and function. Timely identification improves results and lowers healthcare costs. This study uses machine learning (ML) to analyze patient d...
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The most common cause of blindness among diabetics is diabetic retinopathy. This disease must be detected in its early stages as delaying treatment can result in permanent blindness. In today’s modern world with the ...
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The stock market is a meeting point for buyers and sellers to buy and sell stocks. Stock price depends on local and global events. It has a dynamic, non-stationary nature. Thus, it is exceedingly challenging to make a...
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The proceedings contain 39 papers. The special focus in this conference is on Data Science and Network engineering. The topics include: Smart Surveillance System and Prediction of Abnormal Activity in ATM Using Deep L...
ISBN:
(纸本)9789819967544
The proceedings contain 39 papers. The special focus in this conference is on Data Science and Network engineering. The topics include: Smart Surveillance System and Prediction of Abnormal Activity in ATM Using Deep learning;a Framework for Extractive Text Summarization of Single Text Document in Tamil Language Using Frequency Based Feature Extraction Technique;an Approach to Mizo Language News Classification Using Machine learning;BASiP: A Novel Architecture for Abstractive Text Summarization;a Hybrid Approach for Leaf Disease Classification Using Machine learning and Deep learning;enhancing Agricultural Decision-Making Through Machine learning-Based Crop Yield Predictions;Pest Detection Using YOLO V7 Model;random Forest Classifier-Based Acute Lymphoblastic Leukemia Detection from Microscopic Blood Smear Images;FedCNNAvg: Federated learning for Preserving-Privacy of Multi-clients Decentralized Medical Image Classification;training Algorithms for Mixtures of Normalizing Flows;acute Lymphoblastic Leukemia Detection Using DenseNet Model from Microscopic Blood Smear Images;a Disease Prediction Framework Based on Predictive Modelling;a Data-Driven Diabetes Predictive Model Using a Novel Optimized Weighted Ensemble Approach;analysis of Image Caechniques Using Encoder–Decoder;security and Energy Efficiency Enhancement for the Internet of Things: Challenges, Architecture and Future Research;spot Pricing in Cloud computing: A Comprehensive Survey of Mechanisms, Strategies, and Future Directions;A Comparative Analysis of Propagation Models Suitable for Non-Line-of-Sight 5G Communication at 26 GHz;validating δ-Currency Using Model Checking;a Batch-Service Queueing Assisted Blockchain System for Supply Chain Management;biFrost: A Blockchain-Based Decentralized Messaging Application;priority Based Load Balancing for Intercloud computing Environments;machine learning Approach to the Internet of Things Threat Detection.
The proliferation of smart devices has led to an exponential increase in cyber threats, posing significant challenges to cybersecurity, particularly with the centralized nature of cloud computing. Insider threats, lev...
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In this paper, the role of different laboratory scenarios (local and remote) are considered for the teaching and learning of processor-based embedded systems. Specifically, the development of teaching and learning app...
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The purpose of this research is to present an improved project method and the results obtained in its use for the application work of the electrical machines course of an electronic engineering program of the Pedro Ru...
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With the proliferation of various mobile smart devices, edge computing and computational offloading technologies have emerged as pivotal support mechanisms, enhancing the service quality of these devices. To facilitat...
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The goal of the research is to assist farmers in early plant disease detection utilizing an autonomous mobile robotic device. Through an Android mobile app, the robot compares and recognizes particular diseases using ...
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