Pedram Salehpour
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View article: Optimizing Security and Response Time of Relational Database Using Moth-Flame Algorithm
Optimizing Security and Response Time of Relational Database Using Moth-Flame Algorithm Open
Query optimization in relational databases is a costly process, and the number of different permutations of link operations for a query grows exponentially as the number of tables in the query increases. Current query optimization techniqu…
View article: Binary Secretary Bird Optimization Clustering by Novel Fitness Function Based on Voronoi Diagram in Wireless Sensor Networks
Binary Secretary Bird Optimization Clustering by Novel Fitness Function Based on Voronoi Diagram in Wireless Sensor Networks Open
Minimizing energy consumption remains a critical challenge in wireless sensor networks (WSNs) because of their reliance on nonrechargeable batteries. Clustering-based hierarchical communication has been widely adopted to address this issue…
View article: A refined Greylag Goose optimization method for effective IoT service allocation in edge computing systems
A refined Greylag Goose optimization method for effective IoT service allocation in edge computing systems Open
The growth of the Internet of Things (IoT) has intensified the need for efficient service placement in edge computing environments. This problem remains challenging due to dynamic workloads and heterogeneous resources. Existing swarm intel…
View article: A Hybrid Learning Framework for Enhancing Bridge Damage Prediction
A Hybrid Learning Framework for Enhancing Bridge Damage Prediction Open
Bridges are crucial structures for transportation networks, and their structural integrity is paramount. Deterioration and damage to bridges can lead to significant economic losses, traffic disruptions, and, in severe cases, loss of life. …
View article: A Hybrid Learning Framework for Enhancing Bridge Damage Prediction
A Hybrid Learning Framework for Enhancing Bridge Damage Prediction Open
Bridges are crucial structures for transportation networks, and their structural integrity is paramount. Deterioration and damage to bridges can lead to significant economic losses, traffic disruptions, and, in severe cases, loss of life. …
View article: Blix-Ray: Chest P with Vision-Language Models and Reinforcement Learning
Blix-Ray: Chest P with Vision-Language Models and Reinforcement Learning Open
View article: Integrating Deep Metric Learning, Semi Supervised Learning, and Domain Adaptation for Cross-Dataset EEG-Based Emotion Recognition
Integrating Deep Metric Learning, Semi Supervised Learning, and Domain Adaptation for Cross-Dataset EEG-Based Emotion Recognition Open
The variability of EEG signals produced by different trial conditions and different devices presents significant challenges in developing practical EEG-based emotion recognition systems. Much of the research on developing a generalizable E…
View article: The Impact of YOLO Algorithms Within Fall Detection Application: A Review
The Impact of YOLO Algorithms Within Fall Detection Application: A Review Open
The phenomenon of human falls is a highly significant health concern, particularly for elderly individuals and disabled individuals who reside alone. The global elderly population is steadily growing. Consequently, human fall detection is …
View article: Deep Transfer Learning for Lip Reading Based on NASNetMobile Pretrained Model in Wild Dataset
Deep Transfer Learning for Lip Reading Based on NASNetMobile Pretrained Model in Wild Dataset Open
Lip reading is extensively used in visual speech recognition to classify and recognize words by analyzing mouth movements in silent videos. Transfer learning models are often employed to improve performance in this area. However, the effec…
View article: SSKG: Subject stream knowledge graph, a new approach for event detection from text
SSKG: Subject stream knowledge graph, a new approach for event detection from text Open
Events play a crucial role in shaping societal meaning and discourse. They are recorded in text data streams from social networks or online sources and analyzing them is vital for predicting and managing future occurrences. Methods for eve…
View article: Proxy-based robust deep metric learning in the presence of label noise
Proxy-based robust deep metric learning in the presence of label noise Open
Real-world datasets contain label noise data that can deteriorate the performance of a deep learning model. Cleaning annotations manually requires substantial efforts from experts and is not practical in large datasets. Therefore, many met…
View article: Multi-Class Brain Lesion Classification Using Deep Transfer Learning With MobileNetV3
Multi-Class Brain Lesion Classification Using Deep Transfer Learning With MobileNetV3 Open
Diagnosing brain tumors is challenging for radiologists because of the significant similarities between the tumor types. Deep learning models lack sufficient data to effectively learn the patterns of different tumors, leading adopting of t…
View article: Cross-Subject EEG-Based Emotion Recognition Using Deep Metric Learning and Adversarial Training
Cross-Subject EEG-Based Emotion Recognition Using Deep Metric Learning and Adversarial Training Open
Nowadays, due to individual differences and the non-stationarity properties of EEG signals, developing an accurate cross-subject EEG emotion recognition method is in demand. Despite many successful attempts, the accuracy of generalized mod…
View article: Elevating Fake News Detection Through Deep Neural Networks, Encoding Fused Multi-Modal Features
Elevating Fake News Detection Through Deep Neural Networks, Encoding Fused Multi-Modal Features Open
Textual content was initially the main focus of traditional methods for detecting fake news, and these methods have yielded appointed results. However, with the exponential growth of social media platforms, there has been a significant shi…
View article: Optimizing QoS Metrics for Software-Defined Networking in Federated Learning
Optimizing QoS Metrics for Software-Defined Networking in Federated Learning Open
In the modern and complex realm of networking, the pursuit of ideal QoS metrics is a fundamental objective aimed at maximizing network efficiency and user experiences. Nonetheless, the accomplishment of this task is hindered by the diversi…
View article: Enhancing Fake News Detection by Multi-Feature Classification
Enhancing Fake News Detection by Multi-Feature Classification Open
The proliferation of social media platforms has significantly accelerated our access to news, but it has also facilitated the rapid dissemination of fake news. Automatic fake news detection systems can help solve this problem. Although the…
View article: A Novel Facial Expression Recognition Algorithm Using Geometry Β –Skeleton in Fusion Based on Deep Cnn
A Novel Facial Expression Recognition Algorithm Using Geometry Β –Skeleton in Fusion Based on Deep Cnn Open