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检索条件"任意字段=1st International Conference on Machine Learning Algorithms, ICMLA 2024"

共 3719 条记录，以下是1-10 订阅

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1st international conference on machine learning algorithms, icmla 2024

1st International Conference on Machine Learning Algorithms,...

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1st international conference on machine learning algorithms, icmla 2024

ISBN: (纸本)9783031758607

The proceedings contain 40 papers. The special focus in this conference is on machine learning algorithms. The topics include: Early Liver Disease Detection Through Visual Interface and machine learning;diagnosing Autism Spectrum Disorder in Children Using Various machine learning Methods: A Review;quantum Influence on Social Media Content: Employing machine learning for Sentiment Analysis;predicting Forex Trends: A Comprehensive Analysis of Supervised learning in Exchange Rate Prediction;5G Wireless Technology Throughput Prediction Using Ensemble machine learning Approach;Severity Prediction of Omicron Sub-variant JN.1 by Using machine learning;ioT-Inspired Smart Drought Prediction Framework: machine learning Approach;Deep DWT Feature Modeling for Alzheimer’s Disease Prediction: A Unique Approach;mobileNetV2: A Proficient Convolutional Neural Network for the Classification of Date Fruits into Genetic Varieties;Greenhouse Gas Prediction Using LstM Algorithm Based on Microsensor in Bandung City, Indonesia;Revolutionizing Education: Assessing the Effectiveness of SER-CTL Methodology in Post-COVID learning Environments;improved Whale Optimization Algorithm for Cluster Analysis;property Price Prediction Using Regression Analysis;personalized Healthcare Recommendations with Q-learning Reinforcement learning;Pioneering Healthcare Innovations with the Convergence of Blockchain, AI, and the Internet of Medical Things (IoMT);the Evolution and Potential of Conversational Agents in Healthcare;a Computer Aided Detection System for Lung Nodules Classification;a Note on Interpolation of Hermitian Signal: Based on Centrosymmetric Property;an Efficient Algorithm for Hadamard Product of Centrosymmetric Matrices;investigation on Combined Impacts of Different Clustering Techniques and Enhanced K-means Algorithm;Comprehensive Exploration of IoT Communication Protocol: CoAP, MQTT, HTTP, LoRaWAN and AMQP;a Systematic Review on Blockchain Technology.

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1st international conference on Computation of Artificial Intelligence and machine learning, ICCAIML 2024

1st International Conference on Computation of Artificial In...

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1st international conference on Computation of Artificial Intelligence and machine learning, ICCAIML 2024

ISBN: (纸本)9783031714832

The proceedings contain 60 papers. The special focus in this conference is on Computation of Artificial Intelligence and machine learning. The topics include: Intelligent Conversational Chatbots: History, Taxonomy, Classification with PRISMA Model;unleashing the Power of Dynamic Mode Decomposition and Deep learning for Rainfall Prediction in North-East India;patient’s Condition Categorization Using Drug Reviews;systematic Review on Sustainable Healthcare Practices: A Bibliometric Approach;violence Detection Through Deep learning Model in Surveillance;Role of ChatGPT in Decision Making Across Industries: An Indian Perspective;Identification of Splice Image Forgeries with Enhanced DenseNet201 and VGG19;Identification of DR (Diabetic Retinopathy) from Messidor-2 Dataset Images Using Various Deep and machine learning Techniques: A Comparative Analysis;access-Based Authentication of Healthcare Record in Blockchain: A Survey from Security Perspectives;smart Entry Management Using IoT and Number Plate Recognition for Organizational Security;enhancing Player Engagement Through Gesture-Based Interactions in Tic-Tac-Toe;aggressive Bangla Text Detection Using machine learning and Deep learning algorithms;a Comparative Evaluation of machine learning Techniques for Detecting Malicious Network Traffic;enhancing Cyclone Intensity Prediction Through Deep learning Analysis of Imagery Datasets;revolutionizing Road Safety: machine learning Approaches for Predicting Road Accident Severity;survey and Analysis of machine learning Methods for Parkinson's Disease Diagnosis;Accelerated GPU-Based Clustering, Classification and Regression Using RAPIDS: A Comparative study;talk to Hands: A Sign Language Solution for Speech-Impaired People;deep learning-Based Thyroid Cancer Detection and Segmentation Using Convolutional Neural Networks;early Autism Spectrum Disorder Prediction Using Fine-Tuned Bernoulli’s Naive Bayes Algorithm;heart Disease Prediction Model Using machine learning Techniques.

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1st international conference on Computation of Artificial Intelligence and machine learning, ICCAIML 2024

1st International Conference on Computation of Artificial In...

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1st international conference on Computation of Artificial Intelligence and machine learning, ICCAIML 2024

ISBN: (纸本)9783031714801

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Workshop on Longitudinal Disease Tracking and Modeling with Medical Images and Data, LDTM 2024, 5th international Workshop on Multiscale Multimodal Medical Imaging, MMMI 2024, 1st Workshop on machine learning for Multimodal/-sensor Healthcare Data, ML4MHD2024 and Workshop on Multimodal learning and Fusion Across Scales for Clinical Decision Support, ML-CDS 2024 held in conjunction with the 27th international conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024

Workshop on Longitudinal Disease Tracking and Modeling with ...

引用

Workshop on Longitudinal Disease Tracking and Modeling with Medical Images and Data, LDTM 2024, 5th international Workshop on Multiscale Multimodal Medical Imaging, MMMI 2024, 1st Workshop on machine learning for Multimodal/-sensor Healthcare Data, ML4MHD2024 and Workshop on Multimodal learning and Fusion Across Scales for Clinical Decision Support, ML-CDS 2024 held in conjunction with the 27th international conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024

ISBN: (纸本)9783031845246

The proceedings contain 21 papers. The special focus in this conference is on Longitudinal Disease Tracking and Modeling with Medical Images and Data. The topics include: Disease Progression Modelling and stratification for Detecting Sub-trajectories in the Natural History of Pathologies: Application to Parkinson’s Disease Trajectory Modelling;back to the Future: Challenges of Sparse and Irregular Medical Image Time Series;Individualized Multi-horizon MRI Trajectory Prediction for Alzheimer’s Disease;towards Longitudinal Characterization of Multiple Sclerosis Atrophy Employing SynthSeg Framework and Normative Modeling;segHeD: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints;Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting;registration of Longitudinal Liver Examinations for Tumor Progress Assessment;Tracking Lesion Evolution Using a Boundary Enhanced Approach for MS Change Segmentation (BEAMS);a Radiological-Based Coordinate System for the Human Body: A Proof-of-Concept;language Models Meet Anomaly Detection for Better Interpretability and Generalizability;A Diffusion Model Embedded WCSAU-Net for 3D MRI Brain Tumor Segmentation;predicting Human Brain states with Transformer;Cross-Modality Image Quality Prediction for Time-Resolved CT from Breathing Signals;RATNUS: Rapid, Automatic Thalamic Nuclei Segmentation Using Multimodal MRI Inputs;HyperMM: Robust Multimodal learning with Varying-Sized Inputs;HEMIT: H&E to Multiplex-Immunohistochemistry Image Translation with Dual-Branch Pix2pix Generator;Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis;medPromptX: Grounded Multimodal Prompting for Chest X-Ray Diagnosis;predicting stroke Through Retinal Graphs and Multimodal Self-supervised learning;multimodality for Diagnosis of Asian Choroidal Vasculopathy: Results from a Novel Dataset and Deep-learning Experiments;multimodality Frequency Feature Customized learning for Pediatric Ventricu

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1st international conference on Advances in Artificial Intelligence and machine learning in Big Data Processing, AAIMB 2023

1st International Conference on Advances in Artificial Intel...

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1st international conference on Advances in Artificial Intelligence and machine learning in Big Data Processing, AAIMB 2023

ISBN: (纸本)9783031730672

The proceedings contain 51 papers. The special focus in this conference is on Advances in Artificial Intelligence and machine learning in Big Data Processing. The topics include: Topological Navigation of Path Planning Using a Hybrid Architecture in Wheeled Mobile Robot;abnormal Behaviour Detection in Surveillance Videos;ISAApp – Image Based Smart Attendance Application;a Self-learning Ai-Based Information Leak Protection System;enhancing Abnormal Object Detection in Camera-Based Systems Through Computer Vision and Deep learning Techniques;Detection and Classification of Brain Tumor in Magnetic Resonance Images Using CNN;diagnosis of Parkinson’s Disease Using machine learning and Deep learning Techniques;a Survey on Deep learning Based Human Activity Recognition System;a Deep learning Approach for Non - invasive Body Mass Index Calculation;Early-stage Detection of Alzheimer’s Disease Using MRI Scans with Deep learning;penguin Search Optimization with Deep learning Based Cybersecurity Malware Spectrogram Image Classification;Detection and Classification of Skin Disease Using CNN;estimation of Above Ground Biomass Using machine learning and Deep learning algorithms: A Review;URL Phishing Detection Using Deep learning and machine learning Techniques;enhanced Disease Recognition and Classification in Black Gram Plant Leaves Using Deep learning;Ensemble Deep learning Approach for Identification of DDOS Attack;ROCLT: Enhanced Text Classifier for Sentiment on Imbalanced Multiclass Tweet Data Using Hybrid Deep learning Techniques;computer Vision to Animal Footprint Classification Based on Deep learning Model;Speech Emotion Recognition Using CNN Classifier Based on Deep learning Model;face Detection and Recognition for Criminal Identification System Using Deep learning.

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1st international conference on Advances in Artificial Intelligence and machine learning in Big Data Processing, AAIMB 2023

1st International Conference on Advances in Artificial Intel...

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1st international conference on Advances in Artificial Intelligence and machine learning in Big Data Processing, AAIMB 2023

ISBN: (纸本)9783031730641

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Challenges in applying AI techniques in WSN for network lifetime optimization-A review 1st

Challenges in applying AI techniques in WSN for network life...

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1st international conference on Applications of AI in 5G and IOT, ICAAI5GI 2024

作者： Kaur, Manpreet Singh, Jaspreet Sharma, Himanshu Inderprastha Engineering College Ghaziabad India Sharda University Greater Noida India Noida Institute of Engineering and Technology Greater Noida India

ISBN: (纸本)9781032874036

The intend of this paper is to provide an extensive review of communication protocols utilised in Wireless Sensor Networks utilizing advanced machine learning (ML) methods to improve network lifetime. These approaches would involve the application of deep learning algorithm to analyse the routing algorithms. This unique survey focuses on leveraging Artificial Intelligence, particularly machine learning, to develop algorithms capable of automatically detecting and predicting the weak links. The intention of the survey is to provide an extensive review of all the flat and hierarchical routing protocols developed for the improvement of Quality of Service(QoS). © 2025 the Author(s).

关键词： Adversarial machine learning

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Framework for Detecting XSS Attaks Using machine learning 1st

Framework for Detecting XSS Attaks Using Machine Learning

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1st international conference on Intelligent Systems, Blockchain, and Communication Technologies, ISBCom 2024

作者： Haytham, Mohamed Sersi, Wael El Giza Egypt

ISBN: (纸本)9783031823763

Cross-Site Scripting(XSS) is a common web application security flaw that enables attackers implant harmful scripts into pages that other users are seeing. These programs may spoof websites, take over browsing sessions, collect sensitive information, and send visitors to dubious domains. xss attacks are considered as one of the most threatening web server attacks as it is accentuated by the Open Web Application Security Project (OWASP) as one of the top 10 web server attacks and ranked from the top 6 according to the cyber security news in 2024. The paper here presents a study to detect the xss attack using both machine learning and deep learning algorithms The model aims to investigate using machine learning and deep learning using different models using SVM, random forest and neural network. Effective XSS detection helps web developers and security professionals safeguard against potential exploits and ensure the safety of user data and interactions on the internet. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Adversarial machine learning

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Exoplanet discovery using multi-method observational data & machine learning techniques 1st

Exoplanet discovery using multi-method observational data & ...

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1st international conference on Applications of AI in 5G and IOT, ICAAI5GI 2024

作者： Kaushik, Mahima Mattoo, Aditee Rastogi, Ritesh Noida Institute of Engineering and Technology Uttar Pradesh Greater Noida India Department of IT Noida Institute of Engineering and Technology Uttar Pradesh Greater Noida India

ISBN: (纸本)9781032874036

The discovery of exoplanets in recent years has changed the field of exoplanets. Scientists continue to work to explore and discover more of these new resources for life. machine learning plays an important role in the detection, classification and study of exoplanets. This paper explores the potential of various machine learning and data analysis techniques to process large astronomical datasets from space missions for exoplanet detection. ExoMiner achieved the best results comparing studies, achieving 99% sensitivity and 93% accuracy. Other machine learning models and bit-shuffle pre-processing algorithms with performance up to 3.2 GB/s have also contributed to the search and classification of extrasolar planets. These machine learning algorithms include Box Least Square (BLS), wavelet, cross- correlation function (CCF), convolutional neural network (CNN), support vector machine (SVM), etc. Data processing techniques such as data normalization, data integration, and CoLiTec software are also discussed. © 2025 the Author(s).

关键词： Convolutional neural networks

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Analysis of histopathological images using machine learning-A survey 1st

Analysis of histopathological images using machine learning-...

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1st international conference on Applications of AI in 5G and IOT, ICAAI5GI 2024

作者： Saloni Kumar, Sumit Vijh, Surbhi Amity School of Engineering and Technology Amity University Uttar Pradesh Noida India School of Engineering and Technology Sharda University Uttar Pradesh Greater Noida India

ISBN: (纸本)9781032874036

Histopathology is the study of disease symptoms via tissue inspection. The approach of viewing digital histopathological photographs on a computer screen has gained a lot of interest recently. To evaluate histopathology pictures with machine learning,it is necessary to have a thorough pipeline of pre-processing, segmentation, feature extraction, selection, and classification techniques. In medical applications, these techniques use complex algorithms and computational processes to automate disease diagnosis, prognosis prediction, and therapy planning. © 2025 the Author(s).

关键词： Feature extraction

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