EEG-driven brain-controlled prosthetics can greatly help people with movement disorders in their daily lives. Still, the task of accurately translating intentions into expected actions in the brain remains a technical...
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the rapid increase in the amount of rubbish and the diversity of the substances in people's daily rubbish are two major problems of rubbish disposal at present, and the rubbish problem brings a serious burden to t...
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We utilized interpretable deep learning to identify key genes and potential biomarkers associated with Alzheimer's disease (AD). AD-related gene expression data from GEO datasets and Alzdata were collected. To cre...
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the proceedings contain 39 papers. the special focus in this conference is on data Science, machinelearning and Applications. the topics include: Monitoring the Farming Conditions Using IoT;Design of OTFS Modulation ...
ISBN:
(纸本)9789819920570
the proceedings contain 39 papers. the special focus in this conference is on data Science, machinelearning and Applications. the topics include: Monitoring the Farming Conditions Using IoT;Design of OTFS Modulation by Superimposed Pilot-Based Channel Estimation and Embedded Pilot-Aided Estimation;Morphology and EMD-Based Patch-Wise Image Fusion;PSO-Based Evolutionary Image Segmentation System for Analysis of Fatty Liver Level recognition;blake–Zisserman Model of Segmentation Method for Low-Contrast and Piecewise Smooth Image;Performance Enhancement of Wireless Systems Using Hybrid RIS Technique;Creation of a Platform for Artisans to Promote their Product Using Blockchain as NFT;face recognition Based Home Security System to Detect Usual/Unusual person Using IoT;opinion Mining-Based Fake Review Detection Using Deep learning Technique;automatic Detection and Cleaning of Manhole Blockages Using IoT;design and Implementation of a Smart Door Locking System with Automatic Appliance Switching;dynamic Game Difficulty Adjustment Based on Facial Emotion recognition;parallel Implementation of PageRank Based K-Means Clustering on a Multithreaded Architecture;ZACube-2 Mission Operations Analysis;a Novel Approach for Speech Emotion recognition with Facial Expression Analysis;effect of Environment on Students Performance through Orange Tool of data Mining;phishing Email Mitigation Technique Using Back-Propagation Neural Network for Cyber Space;crime Visualization and Forecasting Using machinelearning;an Empirical Comparison of Classification machinelearning Models Using Medical datasets;Analysis of the SEER data set for Lung Cancer Diagnosis for Stage Classification and Survival Analysis;risk Prediction of Chronic Kidney Disease Using machinelearning Algorithms;sandalwood Tree Deduction Using Deep learning;phishing Attack Detection Using machinelearning.
In the field of handwriting analysis, deep neural networks seemed to perform not as well as the classic machine-learning methods (such as the support vector machine). thus, we started the inspection from the source, t...
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the Internet of things has seamlessly integrated into various facets of our daily lives, playing a pivotal role in sectors like security, transportation, smart homes, and healthcare. Across these domains, IoT employs ...
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this paper focuses on human activity recognition using LSTM (Long Short-Term Memory) for handling time series data issues. Because LSTM can better deal withthe correlation and long-term correlation of time-series dat...
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the K-Nearest Neighbors (KNN) algorithm is a classical supervised learning method widely used in classification and regression problems. However, the KNN algorithm faces serious challenges when dealing with high-dimen...
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Withthe expanding application areas of IoT, smart fitness has become an area of growing interest. IoT based fitness trackers are already playing an important role in the smart fitness domain. this paper presents a hi...
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this research presents the development and evaluation of SPEAR, an advanced voice-activated personal desktop assistant designed to address challenges in existing virtual assistant technology, such as limited language ...
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