• Navid Atashfaraz, M. Manthouri, A. Hosseini
  • DEEP RECURRENT NEURAL NETWORK MODELS FOR FORECASTING SHORT-TERM WIND SPEED
• Rustam Eyniyev
  • OPTIMIZING PARALLELISM IN UNITY WITH JOB SYSTEM TOOL
• Saeed Hassani, Mohammad Tahghighi Sharabyan, Zahra Tayyebi Qasabeh
  • INTRODUCING A NEW MODEL FOR LOCATING THE LOCATION OF FIREFIGHTING FORCES BASED ON FUZZY REGION AND NONDOMINATED SORTING GENETIC ALGORITHM
• Zahra Jahangiri, Nasser Modiri, Zahra Tayyebi Qasabeh
  • A NEW APPROACH TO IMPROVE CNN PERFORMANCE IN ANOMALY DETECTION FOR IOT NETWORKS BASED ON THE ALGORITHM ADABOOST
• Zahra Tayyebi Qasabeh, Lida Naderlou, Nigar Ismayilova, Azar Feyziyev
  • A REVIEW SIOT (SOCIAL INTERNET OF THINGS): TECHNIQUES, APPLICATIONS, CHALLENGES AND TRENDS
• Navid Atashfaraz, Mohammad Mant
  • SHORT-TERM WIND SPEED FORECASTING‫ ‬USING DEEP VARIATIONAL LSTM
• Aliyev Samir
  • A SURVEY ON CHALLENGES OF FEDERATED LEARNING
• Sara Mahdia, Mohammad Bagher Menhajb
  • A MODIFIED FUZZY SUPPORT VECTOR MACHINE CLASSIFICATION-BASED APPROACH FOR EMOTIONAL RECOGNITION USING PHYSIOLOGICAL SIGNALS
• Ayla Babazade, Andrei Gurtov 
  • REGISTRATION OF DRONES THROUGH BLOCKCHAIN
• Trinh Cong Duy, Tran Anh Kiet
  • THE SOLUTIONS TO ORGANIZE DATA FOR TRAFFIC INFRASTRUCTURE MANAGMENT COMBINED