Now showing items 1-5 of 5

    • Analysis of training time optimization for self-driving car using alternate max pooling layers 

      Arefin, Kazi Ridwan; Huque, Md. Mashrukul; Tasin, Sheikh Sadaf; Khan, Ahmed Jawad; Abrar, Aareef (BRAC University, 2018-04)
      In the modern era, the vehicles are focused to be automated to give human driver relaxed driving. In the field of automobile various aspects have been considered which makes a vehicle automated. As Udacity, in 2016, with ...
    • Automated overtaking assistance system: a real-time approach using deep learning techniques 

      Moonjarin, Musarrat; Charu, Krity Haque; Nafis, Kh. Fardin Zubair; Sawly, Suraya Jahan (Brac University, 2023-03)
      Road accidents are one of the major causes of fateful deaths in Bangladesh. In most cases it is caused by Overtaking on highways or on regular roads. In terms of overtaking the major task is to decide whether the overtaking ...
    • Autonomous delivery robot 

      Zavin, Sarin Rahman; Rahaman, Kazi Habibur; Nayeem, Safat Ahmed; Bin Mujahid, SK Rubayet; Sarkar, Swapnil (Brac University, 2023-05)
      Autonomous driving is now a topic of great interest in the modern world. With the advancement of AI and hardware technology, it is now possible to tackle many obstacles a human usually faces. The concept of the autonomous ...
    • Classification of Shot Selection by Batsman in Cricket Matches Using Deep Neural Network 

      Khan, Afsana; Nabila, Fariha Haque; Mohiuddin, Masud; Mollah, Mahadi (Brac University, 2022-05)
      Machine learning (ML) is such a field that focuses on learning based method. It basically leverage data to improve the performance on particular tasks. It creates a model based on training data and makes prediction ...
    • U-net Based Autonomous Fetal Segmentation From 2D and 3D Ultrasound Images 

      Mithila, Maliha Tabassum; Prome, Tasnim Ahsan; Tabassum, Elmi; Kamrul, Sameha; samiha, Nausheen (Brac University, 2022-05)
      There are various biometric parameters of the fetus that need to be evaluated to monitor prenatal diagnosis during pregnancy. Biometric parameters such as head circumference, abdominal circumference, cortical volume, the ...