With the expansion of vocational education enrollment, the number of students has been increasing year by year, and the management of students' life and learning in school is particularly important. Especially in ...
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The proceedings contain 52 papers. The special focus in this conference is on machinelearning, Internet of Things and Big data. The topics include: Smart Skin-Proto: A Mobile Skin Disorders Recognizer Model;machine L...
ISBN:
(纸本)9789819939312
The proceedings contain 52 papers. The special focus in this conference is on machinelearning, Internet of Things and Big data. The topics include: Smart Skin-Proto: A Mobile Skin Disorders Recognizer Model;machinelearning Approach Using Artificial Neural Networks to Detect Malicious Nodes in IoT Networks;real Time Air-Writing and recognition of Tamil Alphabets Using Deep learning;a Fuzzy Logic Based Trust Evaluation Model for IoT;supervised learning Approaches on the Prediction of Diabetic Disease in Healthcare;solar Powered Smart Home Automation and Smart Health Monitoring with IoT;seasonal-Wise Occupational Accident Analysis Using Deep learning Paradigms;MLFP: machinelearning Approaches for Flood Prediction in Odisha State;vision-Based Cyclist Travel Lane and Helmet Detection;machinelearning Algorithms Aided Disease Diagnosis and Prediction of Grape Leaf;design and Experimental Analysis of Spur Gear–A Multi-objective Approach;Chest X-Ray Image Classification for COVID-19 Detection Using Various Feature Extraction Techniques;Computer Vision and Image Segmentation: LBW Automation Technique;a Mixed Collaborative Recommender System Using Singular Value Decomposition and Item Similarity;hybrid Clustering-Based Fast Support Vector machine Model for Heart Disease Prediction;forecasting and Analysing Time Series data Using Deep learning;intelligent Blockchain: Use of Blockchain and machinelearning Algorithm for Smart Contract and Smart Bidding;Weed Detection in Cotton Production Systems Using Novel YOLOv7-X Object Detector;smart Healthcare System Management Using IoT and machinelearning Techniques;Automatic Code Clone Detection Technique Using SDG;Optimized Fuzzy PI Regulator for Frequency Regulation of Distributed Power System;simulated Design of an Autonomous Multi-terrain Modular Agri-bot;customer Segmentation Analysis Using Clustering Algorithms.
Due to the significant increase in the volume of data shared on the web, Aspect-Based Sentiment Analysis (ABSA) has become essential. This task ensures a detailed sentiment analysis. It identifies firstly the aspect t...
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The understanding of deep learning in skin cancer results in a dependable and faster method to diagnose malignant skin lesions at an initial stage. To improve the accuracy of detection, this research uses a number of ...
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Handwritten digit recognition is a branch of machinelearning in which a computer is taught to recognize hand-written numbers. Classification and regression are applied using deep learning and machinelearning algorit...
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For most non computer professionals and some computer professionals, datamining and machinelearning are two advanced fields. In the author’s opinion, this may be a habitual misconception, rather than an added aloof...
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Kidney chronic disease (KCD) has become one of the most critical illnesses which should be diagnosed properly within a certain limit of time for better treatment. Nowadays different algorithms being used for treatment...
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The proceedings contain 76 papers. The special focus in this conference is on machine Vision and Augmented Intelligence. The topics include: Survey on Robustness of Deep learning Techniques on Adversarial Attacks in W...
ISBN:
(纸本)9789819743582
The proceedings contain 76 papers. The special focus in this conference is on machine Vision and Augmented Intelligence. The topics include: Survey on Robustness of Deep learning Techniques on Adversarial Attacks in WBAN;synergizing Collaborative and Content-Based Filtering for Enhanced Movie Recommendations;exploring Transformer-Based Approaches for Hyperspectral Image Classification: A Comparative Analysis;deep learning for Cognitive Task and Seizure Classification with Hilbert–Huang Transform and Variational Mode Decomposition;tracking of Ship and Plane in Satellite Videos Using a Convolutional Regression Network with Deep Features;Tumor Detection and Analysis from Brain MRI Images Using Deep learning;software Maintenance Prediction Using Stack Ensemble Deep learning Algorithms;resource Allocation in 6G Network for High-Speed Train Using D2D Outband Communication;controlling the Band-to-Band Tunneling Effect in Charge Plasma Based Dopingless Transistor;Comparison of Different CIC Filter Architectures on the Basis of a Novel Parameter Called Noise Factor for Sigma-Delta Based ADCs;the Scientific Analysis on Effective Yoga Posture recognition Techniques;impact of Gamma Rays on Emerging Devices for Photonic Applications;shaft Rotation Monitoring Using Radar Signal Processing and Wavelet Transform;gysel Power Divider Miniaturization Using an Inter-Digital Capacitor-Based Slow-Wave Structure;noise Estimation and Removal in Fundus Images Using Pyramid Real Image Denoising Network;evaluation of Hybrid Encryption Method to Secure Healthcare data;multimodal Face recognition System Using Hybrid Deep learning Feature;Classification of Copy and Move Image by Using HELM-FSK Method: An Efficient Approach;analysis of Energy Efficient Smart Home Based on IoT System;role of Explainable Artificial Intelligence Approaches in Cybersecurity.
The proceedings contain 204 papers. The topics discussed include: a Bengali word identification and verification using machinelearning approach;a framework for big data adoption and sustainable institutional performa...
ISBN:
(纸本)9781665494007
The proceedings contain 204 papers. The topics discussed include: a Bengali word identification and verification using machinelearning approach;a framework for big data adoption and sustainable institutional performance;conceptual design of an automated irrigation and fixation system for long-term crop care of cherry tomatoes for applications in microgravity machines;comparative study of deep learning models for COVID 19 diagnosis;improved double-level blending model (IDLBM): customer churn estimating in insurance industry;a comparative survey of maize leaf diseases using pre-trained convolutional neural networks;chromatic partitioning of a network and an optimum scheduling problem;comparison of performance of machinelearning algorithms for diabetes detection;fine - grained sentiment analysis on online reviews;an approach to predict and classify retinopathy stages in diabetic patients using deep learning;intelligent recognition of ancient Brahmi characters using transfer learning;and comparative study and performance analysis of deep neural networks for sign language recognition using transfer learning.
Aiming at the problems of poor classification and recognition of traditional clothing images and low recognition accuracy, this paper proposes a convolutional neural network clothing material classification and recogn...
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