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检索条件"任意字段=2nd Asia Conference on Algorithms, Computing and Machine Learning, CACML 2023"

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cacml 2023 - conference Proceedings 2023 2nd asia conference on algorithms, computing and machine learning

CACML 2023 - Conference Proceedings 2023 2nd Asia Conference...

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2nd asia conference on algorithms, computing and machine learning, cacml 2023

ISBN: (纸本)9781450399449

The proceedings contain 93 papers. The topics discussed include: virtual human talking-head generation;hierarchical Monte Carlo tree search for latent skill planning;adaptive model fusion algorithm for decision trees and association rules;speech image data mining algorithm based on multimodal decision fusion;customer service hot event discovery based on dynamic dialogue embedding;heart sound classification algorithm based on sub-band statistics and time-frequency fusion features;garment metaverse: parametric digital human and dynamic scene try-on;multi-dimensional analysis of urban shrinkage problem in Liaoning Province based on multi-index system, grey correlation analysis and bp neural network with particle swarm optimization;deep reinforcement learning with copy-oriented context awareness and weighted rewards for abstractive summarization;an autoencoder-based fast online clustering algorithm for evolving data stream;and construction of scene library system for commercial vehicle products based on multidimensional terminal.

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Genetic algorithm in hopfield neural network with probabilistic 2 satisfiability 23

Genetic algorithm in hopfield neural network with probabilis...

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2nd asia conference on algorithms, computing and machine learning (cacml)

作者： Chen, Ju J. C. Zheng, Chengfeng C. Z. Gao, Yuan Y. G. Guo, Yueling Y. G. Chengdu Univ Tradit Chinese Med Sch Med Informat Engn Chengdu 611137 Peoples R China Univ Sains Malaysia Sch Math Sci Kepala Batas 11800 Penang Malaysia Univ Sains Malaysia Sch Math Sci Kepala Batas 11800 Penang Malaysia

ISBN: (纸本)9781450399449

Genetic Algorithm (GA) is to convert the problem-solving process into a process similar to the chromosomal changes in biological evolution using the mathematical method and computer simulation operation. This meta-heuristic algorithm has been successfully applied to system logic and non-system logic programming. In this study, we will explore the role of the Bipolar Genetic Algorithm (GA) in enhancing the learning process of the Hopfield neural network based on the previous study of PRO2SAT, and generate global solutions of the Probabilistic 2 Satisfiability model. The main purpose of the learning phase of the PRO2SAT model is to obtain consistent interpretations and calculate the optimal prominence weights, and the GA algorithm is introduced to improve the ability of PRO2SAT to obtain consistent interpretation using its selection, crossover, and mutation operators, and thus to improve the ability of the logic programming model to get a global solution. In the experimental phase, simulation data are used for result testing, and three performance metrics are used to test the consistency interpretation and global solution acquisition ability of the proposed model, including mean absolute error, logic formula satisfaction ratio, and global minimum ratio. Experimental results show that GA, as a meta-heuristic algorithm, has better searching ability for optimal solution and can effectively assist logic programming.

关键词： Probabilistic 2 satisfiability machine learning Systematic logic Genetic algorithm Explanation neural network

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Detection and Classification of Type 2 Diabetes using machine learning Techniques 2

Detection and Classification of Type 2 Diabetes using Machin...

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2nd International conference on Advancements in Electrical, Electronics, Communication, computing and Automation, ICAECA 2023

作者： Keerthana, N. Sri Ramakrishna Engineering College Electronics and Communication Engineering Coimbatore India

ISBN: (纸本)9798350306811

The Type 2 Diabetes has several consequences, one of which is diabetic retinopathy (DR). It typically comes from excessive glucose content in the blood arteries that supply nutrition to the retina, and it can also have many additional negative effects. In this paper, machine learning algorithms like CNN (Convolutional Neural Network), GLCM (Gray Level Co-occurrence Matrix), and Random Forest( RF) are used to predict diabetic retinopathy. In terms of performance metrices like Accuracy, Precision, Recall, and F1-score, the Convolutional Neural Network (CNN) produced the best results. Results generated by the CNN algorithm had a higher accuracy rate of 92%. The Django framework was used to develop the website, which aims to let people submit photographs and classify them into No DR, Mild DR, Moderate DR, Severe DR, and Proliferative DR categories. © 2023 IEEE.

关键词： Convolutional neural networks

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2nd International conference on Deep Sciences for computing and Communications, IcondeepCom 2023

2nd International Conference on Deep Sciences for Computing ...

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2nd International conference on Deep Sciences for computing and Communications, IcondeepCom 2023

ISBN: (纸本)9783031689079

The proceedings contain 82 papers. The special focus in this conference is on Deep Sciences for computing and Communications. The topics include: Digital Identity System for Real World Asset Using Blockchain;blockchain-Driven Framework for Fake Product Detection;blockchain Powered Real-Estate Management System;a Block-Chain Based Decentralized Mechanism to Ensure the Security of Electronic Voting System Using Solidity Language;a Secure Persistent Health Care System Using Blockchain Smart Contract;multimodal Fake News Detection Using Deep learning Techniques;maritime Human Drowning Detection Using Intelligent Deep learning Algorithm;development of a Pothole Detection System Using Deep learning Techniques and Depth Estimation;machine learning and Deep learning algorithms for Breast Cancer Prediction;leaf Disease Detection Using Deep learning Approach;Robust Traffic Sign Recognition Using CNN YOLOv5 Model;Fusion Emotion Prediction Using the CEFER Algorithm;performance Analysis of Various machine learning Techniques for Mental Health Tracking;Chronic Kidney Disease (CKD) Detection Analysis Using machine learning;Revolutionizing MS Rehabilitation with Digital Twins and machine learning: A Promising Path to Precision Medicine;empirical Evaluation of machine learning Techniques for Car Price Prediction;water Quality Analysis Using machine learning Techniques;design and Development of Human Identification and Obstacle Detection System for Blind Using machine learning;effective Parkinson Disease Detection and Prediction Using Voting Classifier in machine learning;inflow and Infiltration Water Problem Detection Using machine learning;crop Recommendation and Production Prediction;a Comparison of Cox Model and machine learning Techniques in the High-Dimensional Survival Data;Smart Farming: Using IoT and AI to Improve Crop Yield in Aeroponics System.

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2nd International conference on Women Researchers in Electronics and computing, WREC 2023

2nd International Conference on Women Researchers in Electro...

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2nd International conference on Women Researchers in Electronics and computing, WREC 2023

ISBN: (纸本)9789819970766

The proceedings contain 56 papers. The special focus in this conference is on Women Researchers in Electronics and computing. The topics include: Analysis of Heart Disease Prediction Using Various machine learning algorithms;Analysis of Agricultural Commodities Prices Using BART: A machine learning Technique;deep learning Model-Based Approach for Agricultural Crop Price Prediction in Indian Market;enhanced Intracranial Tumor Strain Prediction and Detection Using Transfer and Multilevel Ensemble learning;detection and Classification of Blood Cancer Using Deep learning Framework;deep learning-Based Multi-label Image Classification for Chest X-Rays;fine-Tuning the Deep learning Models Using Transfer learning for the Classification of Lung Diseases from Chest Radiographs;a Systematic Approach for Effective Apgar Score Assessment in 1 and 5 min Using Manifold machine learning algorithms;SOT-MRAM Memories for Energy Efficient Embedded and AI Applications;data Pre-processing Techniques for Brain Tumor Classification;a Novel Approach for Detection of Lumpy Virus;internet of Healthcare Things-Enabled Open-Source Non-invasive Wearable Sensor Architecture for Incessant Real-Time Pneumonia Patient Monitoring;VANET Security Optimization with Blowfish Algorithm and Adversarial Transfer learning;LoRa-IoT-Based Smart Weather Data Acquisition and Prediction for PV Plant Using machine learning;entity Perception Using Remotely Piloted Aerial Vehicle;RF-MEMS SPDT Capacitive Switch: Accelerating the Performance in B5G Applications;Investigation of Bulk, Electronic and Transport Properties of Armchair Silicene Nanoribbon as Liquefied Petroleum Gas Combustion Indicator: A DFT Study;Recent Advancement of Artificial Intelligence in COVID-19: Prediction, Diagnosis, Monitoring, and Drug Development;analysis of Corner Truncated Rectangular Microstrip Patch Antenna for IoT Applications;dual-Polarized Textile Antenna for Full-Duplex Wearable Applications.

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Data scientific approach to detect the DoS attack, Probe attack, R2L attack and U2R attack 2

Data scientific approach to detect the DoS attack, Probe att...

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2nd IEEE International conference on Advances in computing, Communication and Applied Informatics, ACCAI 2023

作者： Sakthiprabha, R. Sivasundarapandian, S. Aranganathan, A. Vedanarayanan, V. Rajinikanth, E. Gomathi, T. Sathyabama Institute of Science and Technology Department of ECE Chennai India Aurora's Technological and Research Institute Department of ECE Hyderabad India

ISBN: (纸本)9798350315905

Data reliability is compromised by various cyber-attacks. Computational infrastructure is completely disturbed, broken or guided by these attacks. The current status of cyberspace foretells uncertainty for the future of the Internet and its rising user base. Data collected by the sensors and other input devices can be easily stolen by the unidentified user. It is a severe threat to the programming environment and individual personals. It is necessary to take into account the advanced technologies to counterfeit these cyber-attacks. Existing algorithms are decoded over certain period of time. Because of this always important to adapt the new technology that can prevent cyber-attacks. In this paper, various cyber-attacks predictions are analyzed and combines as a group based on its features. After analyzing the various cyber-attacks and its classification, recent technologies which can prevent the cyber-attack is studied. One of the main technologies that can able to learn themselves is the machine learning. Networking environment must use advanced machine learning approaches to protect the Data. machine learning technique is classified as supervised and unsupervised technique. Supervised machine learning technique uses features that can be extracted from the source dataset. The most effective machine learning algorithm for predicting the types of cyber-attacks has been determined through a comparison study of different algorithms. We categorize attacks into four categories: R2L attacks, DOS attacks, U2R attacks, and probe attacks. Various machine learning algorithms are applied to detect and rectify the cyber-attacks. Their performances are compared and analyzed in terms of accuracy, F1 score, precision and recall. © 2023 IEEE.

关键词： Probes

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2nd IEEE International conference on Distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

2nd IEEE International Conference on Distributed Computing a...

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2nd IEEE International conference on Distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

ISBN: (纸本)9798350347456

The proceedings contain 295 papers. The topics discussed include: deep learning & computer vision integrated smart voting system;performance analysis of machine learning algorithms with hyperparameter tuning for diabetes prediction;transient analysis of motor terminal voltage, common mode voltage and bearing voltage in 2-level and multilevel PWM inverter fed induction motor with long cable;comparative analysis of phase/frequency detector in a complete PLL system;a research on various security aware mechanisms in multi-cloud environment for improving data security;network traffic virtualization using Wireshark and Google maps;cluster enabled routing algorithm for wireless sensor networks: an optimization and future prospective;detection and recognition of animals using Yolo algorithm;voltage improvement and loss reduction by placement and sizing of DG using grid oriented multi objective particle swarm optimization;prediction of heart disease using naive bayes and particle swarm optimization (PSO) method;lane detection using video processing for robot cars;convolutional neural network for printed circuit board verification;and multiple disease prediction based on user symptoms using machine learning algorithms.

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2nd International conference on Human-Centric Smart computing, ICHCSC 2023

2nd International Conference on Human-Centric Smart Computin...

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2nd International conference on Human-Centric Smart computing, ICHCSC 2023

ISBN: (纸本)9789819977109

The proceedings contain 53 papers. The special focus in this conference is on Human-Centric Smart computing. The topics include: Securing Data Based on Lightweight Algorithm for Internet of Things Networks;an Exploration of How Children Can Be Proactive for Their Own Digital Privacy and Security in the Perspective of North-Eastern Bangladesh;A Scalable URL-Based Phishing Websites Detection System Using machine learning Techniques;accident Detection and Prevention for Advanced Driver Assistance System;labor Safety Analysis Using Object Recognition and Deep learning;diagnosis of Faults in Wireless Sensor Networks Through machine learning Approach;career Change: Systematic Literature Review and Future Research Agenda;prediction of Heart Disease and Improving Classifier Performance Using Particle Swarm Optimization;Registration of CT Images of Lung Using Fireworks Algorithm;Exploring Artificial Neural Network for X-Parameter and S-Parameter Modelling of HEMT;Exploratory Review of Applications of machine learning for Small- and Medium-Sized Enterprises (SMEs);Bank’s Efficiency & The Liquidity Coverage Ratio (LCR) of Indian Banks: Using Data Envelopment Analysis Approach;a Comparative Analysis of Eye Movement and Gaze Tracking algorithms;response Surface and Artificial Neural Network Simulation Used in Dissolution Enhancement of Poorly Soluble Lornoxicam Using Microwave-Assisted Solid Dispersion Technique;Optimizing Analysis of Donepezil HCl and Memantine HCl Using Multivariate Analysis as a Data Mining Tool in HPTLC Methodology;applying a Privacy Policy for E-Waste Management in Bangladesh;spider Monkey Optimization-Based Image Data Forgery Detection Over Vehicular Cloud computing;Two-Stage ASL Detection Architecture: A Hand Sign Languages Detection Scheme;retinal Vessel Segmentation Using a Novel U-Net Architecture with Data Augmentation.

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2nd International conference on Advances in Data-driven computing and Intelligent Systems, ADCIS 2023

2nd International Conference on Advances in Data-driven Comp...

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2nd International conference on Advances in Data-driven computing and Intelligent Systems, ADCIS 2023

ISBN: (纸本)9789819995301

The proceedings contain 40 papers. The special focus in this conference is on Advances in Data-driven computing and Intelligent Systems. The topics include: The eXtreme Gradient Boosting Method Optimized by Hybridized Sine Cosine Metaheuristics for Ship Vessel Classification;does the Resilience learning Game Foster Workforce Open Innovation and Sustainability Attributes? Empirical Evidence from Greek Food Industry;Seizure Detection by Analyzing EEG Signals Using Deep learning Networks;Parts-of-Speech Tagger in Assamese Using LSTM and Bi-LSTM;Dynamic Retransmission Count Prediction (DRCP) Algorithm for FANET Using machine learning Techniques;video-Based Action Recognition of Spatial and Temporal Deep learning Models;aeroDetect: Real-Time Small Object Detection in Aerial Images;integrated Whale Swarm and Neuro-Evolutionary computing for Large-Scale Sparse Optimization Problems;deep Reinforcement learning for Credit Card Fraud Detection;influences of Specimen and Fiber Sizes on the Direct Tensile Resistance of Ultra-High-Performance Fiber-Reinforced Concretes;segmentation-Based Transformer Network for Automated Skin Disease Detection;multi-sensor Data Fusion and Deep machine learning Models-Based Mental Stress Detection System;anti-forensic Analysis for Image Splicing Detection Through Advanced Filters;classification of Organic and Recyclable Waste Using a Deep learning Approach;prediction of Soil Properties for Agriculture Using Ensemble learning Techniques;enhancing Intelligent Video Surveillance: Deep learning Approaches for Human Anomalous Behavior Recognition;detection of Explicit Lyrics in Hindi Music Using Different machine learning algorithms;artificial Intelligence Empowered Language Models: A Review;mass Production Lab;Automatic Multiple Sounds Detection with Recurrent Neural Networks (LSTM);energy Efficiency Techniques in 5G/6G Networks: Green Communication Solutions;assessing the Feasibility and Scalability of Using Spark for Identifying Tip Burn Diseases i

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2nd International conference on Advances in Data-driven computing and Intelligent Systems, ADCIS 2023

2nd International Conference on Advances in Data-driven Comp...

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2nd International conference on Advances in Data-driven computing and Intelligent Systems, ADCIS 2023

ISBN: (纸本)9789819995202

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