MLKD 2024

December 18-19, 2024
Amirkabir University of Technology - Tehran Polytechnic

Using Deep Reinforcement Learning Technique for Distributed Denial of Service Attack Detection in Software Defined Networks

Analyzing Persian Twitter Sentiments on the Arbaeen Walk: A Comparative Study of LDA and BERTopic with the Arbaeen Tweets Dataset

A One-Dimensional Convolutional Neural Network Intrusion Detection System on the CICDDoS2019 Dataset in Cloud Environments

Early Detection of Alzheimer’s-like Behavior Using Deep Learning and Sensor Data in a Smart Home Environment

Transfer Time Reduction for Offloading in the Mobile Edge Computing using Machine Learning

The Application and Effectiveness of Machine Learning and Deep Learning Methods in Analyzing and Predicting the Shanghai Stock Index

Relational Graph Convolutional Networks for Sentiment Analysis

Fuzzy Ex-RL: Fuzzy Experience-Based Reinforcement Learning

Optimizing Data Curation through Spectral Analysis and Joint Batch Selection (SALN)

Enhanced MOGA-DBSCAN: Improving Clustering Quality with a Density-Adjusted Outlier Index

A Novel Multi-Task Learning Architecture for COVID-19 Detection and Lung Infection Segmentation in CT Scans

Find Effective Features and Optimal Algorithms for Predicting Student Performance in Mathematics and Science

Proximal Policy Optimization with Adaptive Generalized Advantage Estimate

Climate Forecasting by Bidirectional Recurrent Neural Networks

An Improvement of the Performance of Polar-Space-Trained DuAT Models for the Segmentation of Dermoscopic Images

Spinal sagittal alignment: investigation of postoperative pelvic kinematic improvement in patients with spinal sagittal imbalance using machine learning methods

A Comparative Study of YOLOv8 Segmentation and Detection Models for Urban Object Detection & Classification in SAR Images

A Hybrid Method Based on Least Squares Support‎~ ‎Vector‎~ ‎Regression and Orthonormal Bernoulli Polynomials for Solving Fredholm Integral Equations

The Neural Network Method for Solving Lane–Emden Equation with Chebyshev Polynomials of Second Kind

Application of Fixed Structure Learning Automata For Designing Intrusion Detection Systems

Is Evaluation Based on Accuracy of Classification Algorithms  Misleading? An Approach to Model Validation Using Bayes Error Rate

Automated Defect Detection and Grading of Piarom Dates Using Deep Learning

A Convolutional Neural Network Approach to Schizophrenia Detection  Based on Wavelet-Transformed EEG Signals

Comparative Analysis of MLP and RBF Neural Networks for Heart Disease Diagnosis: The Impact of Feature Selection on Model Performance

RFBfeat Deep Neural Network for crossview remote sensing image matching  

Enhancing Epidemiological Models with Parameter Estimation and Symbolic Regression: A Case Study on COVID-19

Enhancing Temporal Action Localization with 3D Input and Attention Mechanisms

Pattern Vectors with the Characteristic Coefficients

Impact of Feature Types on Boundary Detection Between Metadata and Body in Persian Theses

Self-Representation Unsupervised Feature Selection based on Non-negative Matrix Factorization

Metaheuristic Algorithms in Video Games: A Case Study of Pac-Man

Machine Learning for Food Demand Prediction: A CatBoost Regression Model

The Effect of Computer Games on the Personality and Creativity of Students of University Interested in Gaming Using Data Mining Techniques

From Images to Insights: Advanced CNN Architectures for Accurate Malaria Cell Classification

Identifying factors affecting tourist destinations in Iran: Supervised Learning Approach

Two-Stage Classifier for Detecting Campaign Negativity with Axis Embeddings in Persian Tweets

CTENet: A Weakly Supervised Approach to Camouflage Detection Using Enhanced Texture, Contrast, and Edges

PhIGT: Physics Informed Graph Transformer for Planar Cable-Driven Parallel Robot Forward Kinematics

Enhanced Parameter Estimation in the Generalized Kuramoto-Sivashinsky Equation Using Physics-Informed Neural Networks and Maximum Likelihood Estimation

Anomaly Detection using ConvLSTM Autoencoder in Smart Home Environments

Predicting Patient’s Recovery Process Using Electronic Health Records with Supervised Variational Autoencoder

Re-evalutaion and Validation of Graph Neural Network for Predicting Drug-Target Binding Affinity

Applications of Deep Learning to Predict Ocean-Atmospheric Characteristics

On the Space Complexity of Counting Triangles Using Oracles

BCGNN:Machine Learning based Breast Cancer Classification improvement Using Graph Neural Network

A Predictor Based Method for Signal Detection in Time Series Data, Case Study: Financial Markets of Iran in Corona Virus Pandemi.

Improving Breast Cancer Prognosis via Multi-Gene Machine Learning Model

Optimizing Drug-Disease Association Analysis: A Resource-Efficient Approach Using Numerical Linear Algebra and Machine Learning

Conditions of an appropriate dataset for movie conversational recommender: The users’ point of view

ICSE: Interpretable Counterfactual/SemiFactual Explanations

A Modified Fractional Physics-Informed Neural Networks for Solving Fractional Reaction-Diffusion Problems

An Artificial Neural Networks Approach in Estimating Implied Volatility

 Advancing Ocean Level Prediction with Machine Learning