Прикладные информационные (компьютерные) технологии. Методы основанные на применении компьютеров - 004.9

Научные статьи

В разделе "Прикладные информационные (компьютерные) технологии. Методы основанные на применении компьютеров"
Enhancing Adversarial Examples for Evading Malware Detection Systems: A Memetic Algorithm Approach
Investigating the Feasibility of Elementary Cellular Automata based Scrambling for Image Encryption"
Enhancing Web Security through Machine Learning-based Detection of Phishing Websites
Modified CNN Model for Network Intrusion Detection and Classification System Using Local Outlier Factor-based Recursive Feature Elimination
Recognizing Fakes, Propaganda and Disinformation in Ukrainian Content based on NLP and Machine-learning Technology
Analysis of Human Behavior and Interests Based on Text Data
A Multi-factor based Sleep Quality Prediction System Using Machine Learning
Enhanced Credit Card Fraud Detection Using iForest Classifier of Ensemble Learning with Automated Hyperparameter Tuning
Racial Bias in Facial Expression Recognition Datasets: Evaluating the Impact on Model Performance
Breast Cancer Diagnosis Improvement Based Deep Learning
Wireless Vehicular Communication
Multimodal Image Analysis Based Pedestrian Detection Using Optimization with Classification by Hybrid Machine Learning Model
SIFT-BZM: Pixel Based Forgery Image Detection Using Scale-Invariant Feature Transform and Block Based Zernike Moments
Intelligent Processing Censoring Inappropriate Content in Images, News, Messages and Articles on Web Pages Based on Machine Learning
Analyzing the Energy Efficiency and Sustainability Implications of IoT Tools in Smart Homes
No-Code and Low-Code Approach: AI Data-Driven Python Modules through Jakarta Faces Web App
A Resource Management Model for Healthcare Internet of Things Using Deep Learning and Bio-inspired Algorithms
Intelligent System for Recognizing Tone and Categorizing Text in Media News at an Electronic Business Based on Sentiment and Sarcasm Analysis
Time Series Forecasting Enhanced by Integrating GRU and N-BEATS
Assessment of Knowledge and Utilization of Computers Among Healthcare Workers in Benue South, Nigeria
Fuzzy Hybrid Meta-optimized Learning-based Medical Image Segmentation System for Enhanced Diagnosis
Modelling Misinformation in Swahili-English Code-switched Texts
NIPP: Non-Invasive PCOS Prediction using XG-boost Machine Learning Model
An Accented Character-based Captcha System with Usability Test Using Solving Time and Response Time
Neurolingua Stress Senolytics: Innovative AI-driven Approaches for Comprehensive Stress Intervention
Algebraic Gestalt-archetypes of Probabilities in Genomic DNAs, Cyclic Gray Codes, Quantum Bioinformatics
Metaheuristic-enhanced Deep Learning Model for Accurate Alzheimer's Disease Diagnosis from MRI Imaging
Data Transformation and Predictive Analytics of Cardiovascular Disease Using Machine and Ensemble Learning Techniques
Complex of Specialized Methods of Educational Data Mining for the Training of Vocational Education Teachers
Adaptive Clustering Method for Panel Data Based on Multi-dimensional Feature Extraction
Deep Learning CNN–LSTM Hybrid Approach for Arabic Sentiment Analysis Using Word Embedding Models
Enhancing Churn Prediction through Advanced Machine Learning Techniques for Modern Education in Computer Science
Advancing Blood Cancer Diagnostics: A Comprehensive Deep Learning Framework for Automated and Precise Classification
Three Dimensional Rapid Brain Tissue Segmentation with Parallel K-Means Clustering Using Graphics Processing Units
Forensic Software Tool for Detecting JPEG Double Compression Using an Adaptive Quantization Table Database
Battery Management System for Solar Power Plants in Uganda: An IoT-Driven Approach
Medical Image Synthesis Using Variational Autoencoder and Generative Adversarial Networks
CNN and GAN Based Stroke Detection Using CT Scan Images
Voice Comparison Using Acoustic Analysis and Generative Adversarial Network for Forensics
Performance Comparison and Investigation of Tropical Cyclone Intensity Estimation from Satellite Images Using Deep Learning and Machine Learning