سامانه مدیریت نشریات علمی دانشگاه فردوسی مشهد


1.	Enhancing Channel Selection in 5G with Decentralized Federated Multi-Agent Deep Reinforcement Learning
	صفحه 1-16
	Taghi Shahgholi؛ Keyhan Khamforoosh؛ Amir Sheikhahmadi؛ Sadoon Azizi
	مشاهده مقاله اصل مقاله 897.76 K

2.	An Enhanced Sine Cosine Algorithm for Feature Selection in Network Intrusion Detection
	صفحه 17-26
	zahra asgari varzaneh؛ soodeh hosseini
	مشاهده مقاله اصل مقاله 587.45 K

3.	Evaluating Developers’ Expertise in Serverless Functions by Mining Activities from Multiple Platforms
	صفحه 27-42
	Aref Talebzadeh Bardsiri؛ Abbas Rasoolzadegan
	مشاهده مقاله اصل مقاله 1.21 M

4.	Description-based Post-hoc Explanation for Twitter List Recommendations
	صفحه 43-50
	Havva Alizadeh Noughabi؛ Behshid Behkamal؛ Mohsen Kahani
	مشاهده مقاله اصل مقاله 610.84 K

5.	Machine Learning Classifiers and Data Synthesis Techniques to Tackle with Highly Imbalanced COVID-19 Data
	صفحه 51-64
	Avaz Naghipour؛ Mohammad Reza Abbaszadeh Bavil Soflaei؛ mostafa ghader-zefrehei
	مشاهده مقاله اصل مقاله 783.48 K

6.	Anomaly Detection in IoMT Environment Based on Machine Learning: An Overview
	صفحه 65-74
	Peyman Vafadoost Sabzevar؛ Hamidreza Rokhsati؛ Alireza Chamansara؛ Ahmad Hajipour
	مشاهده مقاله اصل مقاله 657.53 K

سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب

Enhancing Channel Selection in 5G with Decentralized Federated Multi-Agent Deep Reinforcement Learning