New Trends in Information and Communications Technology Applications

.- Machine Learning.
.- Multi-Objective Optimization in Topic Modeling Using Sentences Reduction Based on Length and Weight (SR-LW) Technique.
.- Identifying Oil Spill Areas and Causes Using a Deep Learning Model.
.- Development of a Machine Learning-Based Robotic System for Medical-Targeted Drug Delivery System.
.- Fire Vision: Deep Learning for Accurate and Efficient Fire Detection and Localization in Digital Images.
.- Oil Pipeline Leakage Detection Using Deep Learning Algorithms.
.- A Novel Sound Classification based on Lightweight ResNet-34 For Emergency Detection.
.- Impact of Bands Number on LULC Classification Accuracy in Sentinel-2 Images.
.- Graph-Based Network Analysis for Identifying Key Factors of Internet Addiction.
.- Iraqi Dialect Emoji Prediction based on Deep CNN-LSTM Architecture.
.- Influence of Feature Selection Techniques on the Cyber-attacks Prediction Using Machine Learning Techniques.
.- Textual Fake News Detection Based on FastText Embedding and Deep Learning.
.- AI-Based Reservoir Facies Classification and Missing Data Imputation Using Core and Wireline Data.
.- Evolutionary Computing.
.- A Novel Implementation of the Secretary Bird Optimization Algorithm for Solving Quadratic Equations.
.- Optimizing K-Means Clustering Selection Parameters Using Modified Grey Wolf Optimization.
.- Enhanced Feature Selection Using a Hybrid Elephant Herding Optimization with Levy Flight.
.- Optimizing ECG Signal Quality: Enhanced Noise Reduction using the Water Wave Algorithm.
.- Optimizing Convolutional Neural Networks' Hyperparameters Based on Dynamic Salp Swarm Algorithm.