Welcome to the eighth edition of the biennial internationalconference on datascience and machinelearning Applications (CDMA2025). This edition honors the 2030 Saudi Vision by exploring its ambitious goals and trans...
ISBN:
(数字)9798331539696
ISBN:
(纸本)9798331539702
Welcome to the eighth edition of the biennial internationalconference on datascience and machinelearning Applications (CDMA2025). This edition honors the 2030 Saudi Vision by exploring its ambitious goals and transformative potential in the realm of Generative Artificial Intelligence: Challenges and Opportunities.
The proceedings contain 85 papers. The special focus in this conference is on datascience, machinelearning and Applications. The topics include: Design of QCA-Based XOR/XNOR Structures;Design of QCA-Based 1-Bit Magn...
ISBN:
(纸本)9789811959356
The proceedings contain 85 papers. The special focus in this conference is on datascience, machinelearning and Applications. The topics include: Design of QCA-Based XOR/XNOR Structures;Design of QCA-Based 1-Bit Magnitude Comparator;a Novel Multimodal Anatomical Medical Image Fusion Using Structure Extraction;Parametric Analysis for Channel Estimation in Massive MIMO Systems with 1-Bits ADCs;skin Cancer Classification Using Deep learning;image Dehazing Using Improved Dark Channel and Vanherk Model;A Novel Bayesian Fusion Model for IR and Visible Images;Retinal Boundary Segmentation in OCT Images Using Active Contour Model;Spectral Efficiency for Multi-bit and Blind Medium Estimation of DCO-OFDM Used Vehicular Visible Light Communication;An Efficient Retinal Layer Segmentation Based on Deep learning Regression Technique for Early Diagnosis of Retinal Diseases in OCT and FUNDUS Images;Design of QCA-Based BCD Adder;crop Yield Prediction Using Deep learning;preface;road Accident Detection and Indication System;real-Time Tweets Streaming and Comparison Using Naïve Bayes Classifier;smart Shopping Trolley for Billing System;a Survey on IoT Protocol in Real-Time Applications and Its Architectures;safe Characteristic Signature Systems with Different Jurisdiction Using Blockchain in E-Health Records;web-Based Trash Segregation Using Deep learning Algorithm;home Automation Using Face Recognition for Wireless Security;Hybrid-Network Intrusion Detection (H-NID) Model Using machinelearning Techniques (MLTs);impact of Using Partial Gait Energy Images for Human Recognition by Gait Analysis;Several Routing Protocols, Features and Limitations for Wireless Mesh Network (WMN): A Review;a Deep Meta-model for Environmental Sound Recognition;design of Progressive Monitoring Overhead Water Tank.
The proceedings contain 39 papers. The topics discussed include: evaluation of machinelearning to early detection of highly cited papers;towards using deep reinforcement learning for better COVID-19 vaccine distribut...
ISBN:
(纸本)9781665410144
The proceedings contain 39 papers. The topics discussed include: evaluation of machinelearning to early detection of highly cited papers;towards using deep reinforcement learning for better COVID-19 vaccine distribution strategies;an investigation of forecasting Tadawul all share index (TASI) using machinelearning;intelligent deep detection method for malicious tampering of cancer imagery;an empirical analysis of health-related campaigns on twitter Arabic hashtags;the accuracy performance of semantic segmentation network with different backbones;a comprehensive evaluation of statistical, machinelearning and deep learning models for time series prediction;depression detection in Arabic using speech language recognition;a deep learning framework for temperature forecasting;improving relevance in a recommendation system to suggest charities without explicit user profiles using dual-autoencoders;and the impact of feature selection on different machinelearning models for breast cancer classification.
The proceedings contain 157 papers. The special focus in this conference is on datascience, machinelearning and Applications. The topics include: Twitter Spam Review Detection Using Hybrid machinelearning Technique...
ISBN:
(纸本)9789811636899
The proceedings contain 157 papers. The special focus in this conference is on datascience, machinelearning and Applications. The topics include: Twitter Spam Review Detection Using Hybrid machinelearning Techniques;throughput Improvement in Energy Efficient Heterogeneous Wireless Sensor Network;predicting Expected Time of Arrival of Shipments Through Multiple Linear Regression;learning via Long Short-Term Memory (LSTM) Network for Predicting Strains in Railway Bridge Members Under Train Induced Vibration;smart Transportation Using Fog Computing;detection of learning Disability: A Survey;EEG Based Emotion Investigation from Various Brain Region Using Deep learning Algorithm;electric Motor Drive Using Single Input Fuzzy Logic Controller for Husk Extraction in Rice Mill Industry;states Categorization in India Based on Health Security Capacity with machinelearning Technique;CovidSORT: Detection of Novel COVID-19 in Chest X-ray Images by Leveraging Deep Transfer learning Models;a Real Time Radio Spectrum Measurement Campaign for machinelearning Based Spectrum Inference in Cognitive Radio Network;application of Disruptive Technologies in Intelligent Transportation System;deep learning Models for Rubik’s Cube with Entropy Modelling;performance Analysis of Software Enabled Accelerator Library for Intel Architecture;blind Descent: A Prequel to Gradient Descent;a Survey: Modelling Strategies for Predictive Maintenance;abstract and Image Analysis of High-Temperature Materials from Scientific Journals Using Deep learning and Rule-Based machinelearning Approaches;a Time Dependent Epidemiology Model for Hospital Resource Management in Usual Scenarios and Pandemic;Load Forecasting Using LSTM and Its Comparison with Other machinelearning Techniques and Their Implementation;application of machinelearning to Detect Neuroticism in Individuals Using Handwriting Analysis;preface.
The proceedings contain 85 papers. The special focus in this conference is on machinelearning, Optimization, and datascience. The topics include: Utilizing Predictive Models to Identify the Influence of Full Prior D...
ISBN:
(纸本)9783030954666
The proceedings contain 85 papers. The special focus in this conference is on machinelearning, Optimization, and datascience. The topics include: Utilizing Predictive Models to Identify the Influence of Full Prior Distribution in Hypothesis Testing Problems;optimally Weighted Ensembles for Efficient Multi-objective Optimization;Anomaly Detection in Smart Grid Network Using FC-Based Blockchain Model and Linear SVM;unsupervised PulseNet: Automated Pruning of Convolutional Neural Networks by K-Means Clustering;a Noisy-Labels Approach to Detecting Uncompetitive Auctions;deep Autonomous Agents Comparison for Self-driving Cars;method for Generating Explainable Deep learning Models in the Context of Air Traffic Management;shufText: A Simple Black Box Approach to Evaluate the Fragility of Text Classification Models;a Framework for Imbalanced Time-Series Forecasting;training Convolutional Neural Networks with Competitive Hebbian learning Approaches;pH-RL: A Personalization Architecture to Bring Reinforcement learning to Health Practice;predicting Worst-Case Execution Times During Multi-criterial Function Inlining;Small Geodetic datasets and Deep Networks: Attention-Based Residual LSTM Autoencoder Stacking for Geodetic Time Series;Forecasting the IBEX-35 Stock Index Using Deep learning and News Emotions;action-Conditioned Frame Prediction Without Discriminator;inference and De-noising of Non-gaussian Particle Distribution Functions: A Generative Modeling Approach;convolutional Neural Network for Classification of Aerial Survey Images in the Recognition System;Can You Tell? SSNet - A Biologically-Inspired Neural Network Framework for Sentiment Classifiers;ODIN: Pluggable Meta-annotations and Metrics for the Diagnosis of Classification and Localization;predictable Features Elimination: An Unsupervised Approach to Feature Selection;towards Understanding Neuroscience of Realisation of Information Need in Light of Relevance and Satisfaction Judgement;Fast ABC with Joint Generati
The proceedings contain 85 papers. The special focus in this conference is on machinelearning, Optimization, and datascience. The topics include: Utilizing Predictive Models to Identify the Influence of Full Prior D...
ISBN:
(纸本)9783030954697
The proceedings contain 85 papers. The special focus in this conference is on machinelearning, Optimization, and datascience. The topics include: Utilizing Predictive Models to Identify the Influence of Full Prior Distribution in Hypothesis Testing Problems;optimally Weighted Ensembles for Efficient Multi-objective Optimization;Anomaly Detection in Smart Grid Network Using FC-Based Blockchain Model and Linear SVM;unsupervised PulseNet: Automated Pruning of Convolutional Neural Networks by K-Means Clustering;a Noisy-Labels Approach to Detecting Uncompetitive Auctions;deep Autonomous Agents Comparison for Self-driving Cars;method for Generating Explainable Deep learning Models in the Context of Air Traffic Management;shufText: A Simple Black Box Approach to Evaluate the Fragility of Text Classification Models;a Framework for Imbalanced Time-Series Forecasting;training Convolutional Neural Networks with Competitive Hebbian learning Approaches;pH-RL: A Personalization Architecture to Bring Reinforcement learning to Health Practice;predicting Worst-Case Execution Times During Multi-criterial Function Inlining;Small Geodetic datasets and Deep Networks: Attention-Based Residual LSTM Autoencoder Stacking for Geodetic Time Series;Forecasting the IBEX-35 Stock Index Using Deep learning and News Emotions;action-Conditioned Frame Prediction Without Discriminator;inference and De-noising of Non-gaussian Particle Distribution Functions: A Generative Modeling Approach;convolutional Neural Network for Classification of Aerial Survey Images in the Recognition System;Can You Tell? SSNet - A Biologically-Inspired Neural Network Framework for Sentiment Classifiers;ODIN: Pluggable Meta-annotations and Metrics for the Diagnosis of Classification and Localization;predictable Features Elimination: An Unsupervised Approach to Feature Selection;towards Understanding Neuroscience of Realisation of Information Need in Light of Relevance and Satisfaction Judgement;Fast ABC with Joint Generati
The proceedings contain 50 papers. The topics discussed include: rule based question generation for Arabic text: question answering system;deep learning-based tool for automatic feature marking, cropping, visualizatio...
ISBN:
(纸本)9781450387637
The proceedings contain 50 papers. The topics discussed include: rule based question generation for Arabic text: question answering system;deep learning-based tool for automatic feature marking, cropping, visualization, and classification of chest radiographs;implementation of blockchain enabled healthcare system using hyperledger fabric;honeypot behavior patterns learning for mass email marketing detection;object detection and classification using machinelearning techniques;machine intelligence for predicting new start-ups success: a survey;a review and comparative study on surface vehicle path planning algorithm;and performance comparison of network intrusion detection system based on different pre-processing methods and deep neural network.
The proceedings contain 48 papers. The topics discussed include: on the effect of complex network topology in managing epidemic outbreaks;holt’s linear model of COVID-19 morbidity forecasting in Ukraine;knowledge rep...
The proceedings contain 48 papers. The topics discussed include: on the effect of complex network topology in managing epidemic outbreaks;holt’s linear model of COVID-19 morbidity forecasting in Ukraine;knowledge representation and automated formal reasoning in description logic ALC;solutions outlining on the set of structured technological problems with imposed constraints;mathematical models of group dynamics when working in teams of developers of training distance courses;activating the process of educational services using independent computing resources to manage and monitor the quality of learning;and the developing of the system for automatic audio to text conversion.
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