Integrating multimodal single-cell data is formalized into predicting co-variation among DNA, RNA, and protein measurements within individual cells. Accurate prediction of single-cell table data across multiple modali...
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Effective and accurate diagnosis of Autism Spectrum Disorder (ASD) has become crucial for early intervention and a better outcome for patients. this study attempts to improve ASD detection through machinelearning (ML...
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the proceedings contain 31 papers. the special focus in this conference is on Recent Trends in Image Processing and patternrecognition. the topics include: UI/UX for Aerospace Qualification Business Processes;Enhanci...
ISBN:
(纸本)9783031530814
the proceedings contain 31 papers. the special focus in this conference is on Recent Trends in Image Processing and patternrecognition. the topics include: UI/UX for Aerospace Qualification Business Processes;Enhancing Android Malware Detection: CFS Based Texture Feature Selection and Ensembled Classifier for Malware App Analysis;a Comprehensive Analysis of Blockchain Network Security: Attacks and their Countermeasures;Enhancing CT Image Visualization and Analysis through Rescaling Raw Pixel Values to Hounsfield Units;VAIDS: A Hybrid Deep learning Model to Detect Intrusions in MQTT Protocol Enabled Networks;leveraging Handwriting Impairment as a Biomarker for Early Parkinson’s Disease Diagnosis;blockchain for Patient data Integrity: Decentralised Storage and Retrieval in Modern Healthcare Systems;a Residual learning Approach Towards the Diagnosis of Colorectal Disease Effectively;Large-Language-Models (LLM)-Based AI Chatbots: Architecture, In-Depth Analysis and their Performance Evaluation;cincoCrypto - A Cryptocurrency Price Forecasting Tool for Everyone;Realistic Skin Image data Generation Leveraging Conditional GAN and Classification Using Deep CNN;Diabetic Retinopathy Blood Vessel Detection Using Deep-CNN-Based Feature Extraction and Classification;analyzing Pulmonary Abnormality with Superpixel Based Graph Neural Network in Chest X-Ray;a Stack Ensemble Approach for Early Alzheimer Classification Using machinelearning Algorithms;federated Unlearning and Server Right to Forget: Handling Unreliable Client Contributions;optimal Resource Allocation for Energy Harvested Cognitive Radio Networks Based on Learn Heuristic Algorithm;Deep Neural Networks Based Security Solution for ATM Transactions;crypto Bank: Cryptocurrency Wallet Based on Blockchain;radiography and thermography Based Image Processing Techniques for Assessment of Lower Back Pain;modified Snapshot Ensemble Algorithm for Skin Lesion Classification;COVID-19 Disease Prediction Using Generative Adversarial
the proceedings contain 31 papers. the special focus in this conference is on Recent Trends in Image Processing and patternrecognition. the topics include: UI/UX for Aerospace Qualification Business Processes;Enhanci...
ISBN:
(纸本)9783031530845
the proceedings contain 31 papers. the special focus in this conference is on Recent Trends in Image Processing and patternrecognition. the topics include: UI/UX for Aerospace Qualification Business Processes;Enhancing Android Malware Detection: CFS Based Texture Feature Selection and Ensembled Classifier for Malware App Analysis;a Comprehensive Analysis of Blockchain Network Security: Attacks and their Countermeasures;Enhancing CT Image Visualization and Analysis through Rescaling Raw Pixel Values to Hounsfield Units;VAIDS: A Hybrid Deep learning Model to Detect Intrusions in MQTT Protocol Enabled Networks;leveraging Handwriting Impairment as a Biomarker for Early Parkinson’s Disease Diagnosis;blockchain for Patient data Integrity: Decentralised Storage and Retrieval in Modern Healthcare Systems;a Residual learning Approach Towards the Diagnosis of Colorectal Disease Effectively;Large-Language-Models (LLM)-Based AI Chatbots: Architecture, In-Depth Analysis and their Performance Evaluation;cincoCrypto - A Cryptocurrency Price Forecasting Tool for Everyone;Realistic Skin Image data Generation Leveraging Conditional GAN and Classification Using Deep CNN;Diabetic Retinopathy Blood Vessel Detection Using Deep-CNN-Based Feature Extraction and Classification;analyzing Pulmonary Abnormality with Superpixel Based Graph Neural Network in Chest X-Ray;a Stack Ensemble Approach for Early Alzheimer Classification Using machinelearning Algorithms;federated Unlearning and Server Right to Forget: Handling Unreliable Client Contributions;optimal Resource Allocation for Energy Harvested Cognitive Radio Networks Based on Learn Heuristic Algorithm;Deep Neural Networks Based Security Solution for ATM Transactions;crypto Bank: Cryptocurrency Wallet Based on Blockchain;radiography and thermography Based Image Processing Techniques for Assessment of Lower Back Pain;modified Snapshot Ensemble Algorithm for Skin Lesion Classification;COVID-19 Disease Prediction Using Generative Adversarial
the proceedings contain 23 papers. the special focus in this conference is on Security and Privacy in New Computing Environments. the topics include: Consortium Blockchain Storage Optimization Based on60;Fountain C...
ISBN:
(纸本)9783031736988
the proceedings contain 23 papers. the special focus in this conference is on Security and Privacy in New Computing Environments. the topics include: Consortium Blockchain Storage Optimization Based on Fountain Codes;an Incentive Mechanism and An Offline Trajectory Publishing Algorithm Considering Sensing Area Coverage Maximization and Participant Privacy Level;Research on Face recognition System Based on RLWE Homomorphic Encryption;feedback Feed-Forward Iterative learning Control for Non-affine Nonlinear Discrete-Time Systems with Varying Trail Lengths;open-Closed-Loop Iterative learning Control Based on Differential Evolution Algorithm for Nonlinear System;overview of Vehicle Edge Computing and Its Security;conFlow: Contrast Network Flow Improving Class-Imbalanced learning in Network Intrusion Detection;anomaly Detection of Unstable Log data Based on Contrastive learning;An Integration-Enhanced ZNN Approach for Chaotic Combination Synchronization with External Disturbances∗;a Lightweight Anomaly Detection Method for Industrial Processes Based on Event Correlation Behavior;a Novel Polar Code-Based Key Encapsulation Mechanism with Non-permutation Equivalent Public Key;two-Stage Multi-lingual Speech Emotion recognition for Multi-lingual Emotional Speech Synthesis;EncoderMU: machine Unlearning in Contrastive learning;NoCrypto: A Web mining Behavior Detection Method Based on RGB Images;image Copy-Move Forgery Detection in the Social Media Based on a Prior Density Clustering and the Point Density;detection of Speech Spoofing Based on Dense Convolutional Network;speech Emotion recognition Based on Recurrent Neural Networks with Conformer for Emotional Speech Synthesis;Route Privacy-Preserving Authentication Scheme Based on PUF in VANETs;Stable NICE Model-Based Picture Generation for Generative Steganography;computer-Generated Image Forensics Based on Vision Transformer with Forensic Feature Pre-processing Module;VoIP Steganalysis Using Shallow Multiscale Convolution and
Microseismic detection events are critical in monitoring subsurface activities, including hydraulic fracturing, enhanced oil recovery, carbon dioxide, or natural gas geological storage and reservoir characterization, ...
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ISBN:
(纸本)9783031669644;9783031669651
Microseismic detection events are critical in monitoring subsurface activities, including hydraulic fracturing, enhanced oil recovery, carbon dioxide, or natural gas geological storage and reservoir characterization, to guarantee safe and efficient energy extraction. this presents significant challenges as it generates large amounts of data. Despite the recent machinelearning techniques being increasingly integrated into fiber-optic distributed acoustic sensor (DAS) systems to enhance their intelligent recognition capabilities, there is still a need to solve this. In some research, it has been observed that computational speed is time-consuming and overfitting, thus necessitating a more extensive investigation of this analysis. this study proposes a novel approach using DAS data to enhance microseismic event detection's precision, overfitting issue, and interpretability. this approach utilizes a specifically designed neural network architecture. the deep learning approach is highly effective for the real-time management of the substantial amounts of data recorded by DAS equipment. three phases of research methodology are proposed. the contribution of this research is that spiking neural network architecture for microseismic detection will bring advancements in microseismic monitoring.
the proceedings contain 15 papers. the special focus in this conference is on Cloud Computing and Artificial Intelligence: Technologies and Applications. the topics include: CAReNet: A Promising AI Architecture for...
ISBN:
(纸本)9783031786976
the proceedings contain 15 papers. the special focus in this conference is on Cloud Computing and Artificial Intelligence: Technologies and Applications. the topics include: CAReNet: A Promising AI Architecture for Low data Regime Mixing Convolutions and Attention;Designing Converged Middleware for HPC, AI, and Big data: Challenges and Opportunities;key Mechanisms and Emerging Issues in Cloud Identity Systems;Power Consumption in HPC-AI Systems;integrated Architecture for Cloud and IoT with Logical Sensors and Actuators - Logical IoT Cloud;the Need for HPC in AI Solutions;facts and Issues of Neural Networks for Numerical Simulation;scalable Deep learning for Industry 4.0: Speedup with Distributed Deep learning and Environmental Sustainability Considerations;multi-domain dataset for Moroccan Arabic Dialect Sentiment Analysis in Social Networks;on the Challenges of Migrating to Microservices Architectures for Better Cloud Solutions;missing data Imputation Approach for IoT Using machinelearning;holistic Approach for Enhanced Object recognition in Complex Environments;analyzing Sentiment in Arabic Tweets: A Study Using machinelearning and Deep learning Techniques.
the proceedings contain 14 papers. the special focus in this conference is on New Trends in Information and Communications Technology Applications. the topics include: A Novel Ensemble Method for Network-Based Anomaly...
ISBN:
(纸本)9783031354410
the proceedings contain 14 papers. the special focus in this conference is on New Trends in Information and Communications Technology Applications. the topics include: A Novel Ensemble Method for Network-Based Anomaly Intrusion Detection System;New Security Mechanism of Healthdata Based on Blockchain–NFV;Use Multichannel EEG-Based Biometrics Authentication Signal in Real Time Using Neural Network;machinelearning-Based DDoS Attack Detection in Software-Defined Networking;enhancing Service Classification for Network Slicing in 5G Using machinelearning Algorithms;mesoNet3: A Deepfakes Facial Video Detection Network Based on Object Behavior Analysis;computer Vision Techniques for Hand Gesture recognition: Survey;a Comprehensive Review in Using the Advances of Deep learning in the 3D Race Classification;multi-agents as datamining Classifiers and Crawlers to Get Intelligent E-Advertisements;automated Multi-style Iraqi Cars License recognition Based on Convolutional Neural Network Technology;food Recommendation System Based on data Clustering Techniques and User Nutrition Records;EEG data Compression Using Tap9/7 Wavelet Transform and Double Shift-Coding.
Despite significant advances in the field of deep learning in applications to various areas, an explanation of the learning process of neural network models remains an important open question. the purpose of this pape...
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Bridge Health Monitoring (BHM) is a crucial research domain in engineering, involving the analysis of infrastructure conditions like bridges using sensor data. Structural Health Monitoring (SHM) systems comprise disti...
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