Now showing items 1-4 of 4

    • Intelligent Wheelchair Control System based on Finger Pose Recognition 

      ISWAHYUDI; ANAM, Khairul; SALEH, Azmi (FAKULTAS TEKNIK, 2020-10-01)
      In the old day, wheelchairs are moved manually by using hand or with the assistance of someone else. Users of this wheelchair get tired quickly if they have to walk long distances. The electric wheelchair emerged as a ...
    • A novel herbal leaf identification and authentication Using deep learning neural network 

      HARYONO; ANAM, Khairul; SALEH, Azmi (FAKULTAS TEKNIK, 2020-11-18)
      Herbal plants are plants that can be used as an alternative to the natural healing of diseases. The existence of herbal plants is still not widely known by the public. It is due to many types of medicinal plants so it ...
    • Steering System of Electric Vehicle using Extreme Learning Machine 

      AHMADI, Sofyan; ANAM, Khairul; SALEH, Azmi (FAKULTAS TEKNIK, 2020-10-01)
      increasing and growing very fast. Some efforts have been conducted, one of which is using BLDC (brushless direct current) motors to improve efficiency. This study utilized extreme learning machine (ELM) embedded on ...
    • Voice Controlled Wheelchair for Disabled Patients based on CNN and LSTM 

      SUTIKNO; ANAM, Khairul; SALEH, Azmi (FAKULTAS TEKNIK, 2019-10-11)
      Disabled patients with reduced mobility due to health problems such as disability, injury, paralysis, or other factors will experience difficulty in movement. They need tools that can help them, in which the most widely ...