Articles Stat:
Number of Articles: 54Number of Proceeding pages: 169
Papers View: 1876
This conference was held and indexed:
Download Conference Proceedings
Download Conference Proceedings
Number of Proceeding pages: 169
Papers View: 1876
Important Information
Conference Date: 2025-02-25Fulltext deadling: 2024-10-21
Full Text Review Date: 2024-12-05
Scientific Organization: Shahid Beheshti University
Holder:
City Conferences of : City Tehran
Province Conferences of : Province Tehran
Submit date: 2024-07-29 09:52:29
View: 13491
SCIENTIFIC FIELDS
Artificial Intelligence
1st International Conference on Artificial Intelligence
1st International Conference on Artificial Intelligence
1st International Conference on Artificial Intelligence In date 2025-02-25 by Shahid Beheshti University, in City Tehran was held. please refer to the following link to download all the papers of conference proceedings: Proceedings 1st International Conference on Artificial Intelligence
Download Conference Proceeding 1st International Conference on Artificial Intelligence
Accepted papers in 1st International Conference on Artificial Intelligence
Intermediate Fine-Tuning for Robust Persian Emotion Detection in Text
Improvement in intent detection and slot filling by model enhancement and different data augmentation strategies
Efficient DL Models for Voice Pathology Detection in Healthcare Applications using Sustained Vowels
Advances in Deep Learning for Eye Disease Diagnosis: Applications, Challenges, and Future Directions
Enhancing Automated Skin Cancer Detection Through Ensemble Learning and Multi-Head Attention Mechanisms
Deep Learning Frailty Model for Heart Failure Survival Prediction
A Novel Fixed-Parameter Activation Function for Neural Networks: Enhanced Accuracy and Convergence on MNIST
Brain Age Classification from fMRI Data Using Graph Neural Networks and Evolutionary Algorithm
Genetic Algorithm-Based Hyperparameter Optimization of Convolutional Neural Network Models For White Blood Cells Classification
Attention-Based Noise Reduction for Surface-Electromyography: A Novel Method for Enhanced Signal Quality in Clinical Diagnostics
A Master-Slave Approach for Simultaneously Controlling Two Drones when Carrying an Object
Creating a Foundation for Dynamic Difficulty Adjustment within PCG of games using Imitation Learning
Simple Syntactic Sentences for NLP applications
MQL-NPC: A Modified Q-Learning-based Approach to Design Intelligent Non-Player Character in a Survival Game
Unlocking individual motor signatures using feature-based clustering of a graphomotor task
From Nodes to Themes: A Social Network Analysis and Thematic Progress in the field of Biomedical Ontologies
Automated Recognition of Marine Thermal Patterns Using Deep Learning
Exploring AI Techniques in the Identification and Control of Marine Vehicles
Application of machine learning algorithms in the prediction of the reliability of post-tensioned concrete members
Predicting Damage States of RC Columns Using Machine Learning Algorithms
A Deep Reinforcement Learning Approach to Automated Stock Trading, using xLSTM Networks
A Hybrid Approach for Intrusion Detection in Computer Systems Using Optimized Deep Neural Networks
LDA-ML: A Hybrid DDoS Detection Attacks in SDN Environment using Machine Learning
Persian Intelligent Assistant in Healthcare Domain
Enhancing Telecom Recommendation Systems through Customer Profiling and Graph Neural Networks (GNN) on Graph Data
Comparative Study of Criminal Responsibility of AI in the Legal Framework of Iran and Saudi Arabia
Empowering Businesses through AI: A Strategic Approach to Implementation
Improving the Quality of Life: The Experience of Women with MS from AI Chatbot Program
Evaluation of the Computational Complexity of Fundamental Algorithms for Sentiment Analysis in Natural Language Processing
An Efficient Training-Free Resume Matching System with NLP-Based Extraction and Custom Scoring for Enhanced Candidate Selection
Reconstruction of ECoG signals in response to visual stimuli to decipher the function of brain regions involved in visual processing using a model based on convolutional and regression networks.
Data Mining's Role in Crafting Intelligent Recommender Systems: A Systematic Review
Evaluating Parkinson's Disease Severity Through Attention-Based STGCN and S۲AGCN Models Utilizing Kinect Skeleton Images
Predictive Modeling of Escherichia coli Growth: The Role of Key Cellular Features
Implication of AI programs AlphaFold-۲ and ۳ in Predicting Complex Protein Assemblies: A Case Study on Barnacle Chthamalus malayensis Cement Adhesive Proteins
A Systematic Review of Deep Learning Applications in Parkinson's Disease Research
Deep Learning in Healthcare: Focusing on Interpretability and Data Quality Challenges for Enhanced Disease Detection
White blood cell image analysis using CNN model
Empowering Decision-Making in Venture Investments: A Systematic Review of Machine Learning Applications for Predicting Startup Success
A Comprehensive Approach to Predicting Customer Churn with XGBoost
Enhancing IoT Data Prediction Accuracy Using Deep Learning and Metaheuristic Algorithms
Efficient and Accurate Fairness Verification for Quantum Variational Circuits
Enhancing IoT Data Prediction Accuracy Using a Hybrid Neural Network and Genetic Algorithm Approach
Aβ۴۲/۴۰ ratio prediction using MRI images features for Alzheimer's Early Detection
Hybrid ANN and Ant Colony Algorithm for IoT Data Classification
Potential of machine learning algorithms for predicting the properties of medium-density fiberboard (MDF): preliminary results
An Overview of the Application of Artificial Intelligence in Schools
Examining the Role of Artificial Intelligence in Enhancing Educational Equity: A Systematic Review
The Role of Ethics in Autonomous Decision Making: Advancements in Artificial Moral Agents
Strategies and Future Horizons of Innovative Entrepreneurship in AI-Based Programming
Enhanced Early Diagnosis of Parkinson's Disease via Transformer-Based Deep Learning and GAN-Augmented Handwriting Analysis
Inferring organizational duties from Persian administrative and employment laws using Large Language Models (LLMs) and few-shot learning
Development and Validation of the Comprehensive Persian Social Perception Dictionary using a Semi-automated Method
Generation for the Qur'anic chapters by summarizing them