Browsing by Subject "Artificial intelligence"

Now showing items 21-40 of 76

    • Density based traffic control system for a four way intersection 

      Chowdhury, Faizul Bari; Faruqui, Tahmid Azim; Razzaque, Rylah Marzia; Iqbal, Nayeem (Brac University, 2023-01)
      Intelligent traffic system is not new to this modern world in order to mitigate traffic congestion. However, a proper management plan for a four way intersection lacks in our cities. An enhanced and optimized system is ...

    • Designing an IoT based stabilizer for home appliances 

      Ahmed, Hasnain; Jahan, Tanvir; Adittya, Tareq Islam; Sadique, Sadman (Brac University, 2021-09)
      A voltage stabilizer is a device that detects and corrects abnormal voltage levels in order to create a sufficiently steady output where the load is attached. The goal of this project is to build and construct an automated ...

    • Detecting Deepfake images using deep convolutional neural network 

      Dhar, Arpita; Acharjee, Prima; Biswas, Likhan; Ahmed, Shemonti; Sultana, Abida (Brac University, 2021-09)
      In recent years, advancement in the realm of machine learning has introduced a feature known as Deepfake pictures, which allows users to substitute a genuine face with a fake one that seems real. As a result, distinguishing ...

    • Detection of Deepfake using computer vision and deep learning 

      Rahman, Anisur; Uschash, Ehteshamul Islam; Rahman, Faria; Adiba, Shihaba Jamal Chowdhury; Labib, Tahmidul (Brac University, 2023-05)
      In this era of Metaverse and technological advancement, Deepfakes are one of the most alarming concepts. Deepfakes are mostly synthetically-generated manipulated photos or videos which is created swapping a face of a ...

    • Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images 

      Hossain, Mainul; Haque, Shataddru Shyan; Ahmed, Humayun; Mahdi, Hossain Al; Aich, Ankan (Brac University, 2022-01)
      Colon cancer is one the most prominent and daunting life threatening illnesses in the world. Histopathological diagnosis is one of the most important factors in determining cancer type. The current study aims to create ...

    • An efficient facial expression recognition method using mean And standard deviation 

      Laboni, Pragna; Zaman, Nusrat (BRAC University, 8/21/2017)
      Facial Expression gives vital information about emotion of human being. It is really a speedily growing and an ever green research field in the sector of computer vision, artificial intelligence and automation. If we talk ...

    • Emerging therapies of Alzheimer’s disease: a comprehensive review 

      Tasin, Md Abtahi (Brac University, 2022-11)
      Alzheimer’s disease is a complex, debilitating neurodegenerative disorder, with a rapidly increasing worldwide prevalence. Despite decades of intense research, therapeutics for Alzheimer's disease are still limited to ...

    • Emotion recognition using EEG signal and deep learning approach 

      Islam, Sayedi Hassan Bin; Mehdi, Md. Quamar; Rohan, Bhuiyan Yash; Mahmood, Syed Atif Imtiaz (Brac University, 2019-08)
      Emotion is a mental state, which originates in the brain and is closely related to the nervous system. Emotion can be defined as a feeling expressed through, or detectable by voice intonation, facial expression body ...

    • Evaluating the effectiveness of CNN-based models for diabetic retinopathy detection 

      Niaz, H.M; Tajrian, Nuha; Alam, Mohammad Ahsan Ibn; Limon, Md. Shahriar Khan; Saha, Sharnit (Brac University, 2023-06)
      One of the known eye conditions that affect human retinal blood vessels is diabetic retinopathy (DR). People with diabetes are typically at significantly increased risk for this. The blood vessels in the retina are damaged ...

    • Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet 

      Ishrak, Gazi Hasin; Mahmud, Zalish; Farabe, Md. Zami Al Zunaed; Tinni, Tahera Khanom (Brac University, 2022-01)
      The term ‘Deepfake’ comes from the deep learning technology. Deepfake technology can easily and smoothly stitch anyone into any digital media where they never took part in reality. The key components of deepfake are ...

    • Exploring Alzheimer's disease prediction with XAI in various neural network models 

      Rahman, Quazi Ashikur; Shad, Hamza Ahmed; Asad, Nashita Binte; Bakshi, Atif Zawad; Mursalin, S.M Faiaz (Brac University, 2021-10)
      Using a number of Neural Network Models, we attempt to explore and explain the prediction of Alzheimer's in patients in various stages of the disease, using MRI imaging data. Alzheimer's disease(AD) often described as ...

    • Exploring the barriers to access feminine healthcare among marginalized women in Bangladesh and design implications 

      Puja, Sreya Sanyal; Neha, Nahian Noor; Alif, Ofia Rahman; Sultan, Tarannaum Jahan (Brac University, 2023-05)
      In today’s era of information and technology for promoting and maintaining both physical and mental health, high-quality healthcare services are crucial. Telecommu- nications service creates an opportunity to close the ...

    • Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection 

      Rahman, Masroor; Navid, Reshad Karim; Hossain Bhuyain, Md Muballigh; Hasan, Farnaz Fawad; Nup, Naima Ahmed (Brac University, 2023-01)
      The use of machine learning models has greatly enhanced the capability to rec ognize patterns and draw conclusions. However, due to their black-box nature, it can be difficult to comprehend the factors that affect their ...

    • Federated ensemble-learning for transport mode detection in vehicular edge network 

      Alam, MD. Mustakin; Ahmed, Tanjim; Hossain, Meraz; Emo, Mehedi Hasan; Islam Bidhan, Md. Kausar (Brac University, 2023-01)
      Transport Mode detection has become a crucial part of Intelligent Transportation Systems (ITS) and Traffic Management Systems due to the recent advancements in Artificial Intelligent (AI) and the Internet of Things (IoT). ...

    • Flood prediction using machine learning models 

      Syeed, Miah Mohammad Asif; Farzana, Maisha; Namir, Ishadie; Ishrar, Ipshita; Nushra, Meherin Hossain (Brac University, 2022-01)
      Floods are one of nature’s most catastrophic calamities which cause irreversible and immense damage to human life, agriculture, infrastructure and socio-economic system. Floods are one of Bangladesh’s most common natural ...

    • Forecasting market movement in Dhaka Stock Exchange: LSTM vs. ARIMA 

      Chakraborty, Pranjal (Brac University, 2019-04)
      This paper creates and examines the performance of LSTM models against ARIMA models, using Dhaka Stock Exchange data from beginning of 2000 to the beginning of 2019. An algorithm has been designed to simultaneously train ...

    • Generation of realistic images from human drawn sketches using deep learning 

      Mahbub, Mohammed Julfikar Ali; Rahmatullah, S. Afsan; Rahman, G M Sohanur; Zillanee, Abu Hasnayen; Akib, Aknur Kamal (Brac University, 2022-01)
      Processing sketches to produce realistic images is an intriguing idea in the world of emerging Artificial Intelligence. We present a Generative Adversarial Network (GAN) based methodology that creates satisfactory images ...

    • Graph data mining-based community clustering for gender-biased community detection of social media 

      Dev, Sanjoy; Tabassum, Maliha; Khan, Mohammad Rahat; Hoque, Maliha Bushra; Fatema, Basharat (Brac University, 2023-05)
      One of the alarming and uprising issues of the world is gender inequality in recent decades. It is a widespread problem that affects people all around the world, albeit its manifestations and severity vary depending on ...

    • Greenhouse monitoring and harvesting mobile robot with 6DOF manipulator utilizing ROS, inverse kinematics and deep learning models 

      Islam, Md. Hashibul; Wadud, Md. Firoz; Rahman, Md. Raihan; Alam, A S M Hasibul (Brac University, 2022-01-20)
      The rapid climate change and scarcity of fertile land has been a global concern recently. To sustain the food supply its high time to think about the modern way of cultivating which is greenhouse. Taking these changes as ...

    • Hand gesture recognition using ensemble method 

      Kowsar, Sahib; Chowdhury, Mahzabin; Mahmud, MD Safin; Haque, Shahbaj Shafin; Shifa, Asaka Akther (Brac University, 2023-05)
      Even though things have improved much more over the last century in terms of com- munication, there still is a glaring amount of communication gap between the hearing majority and the deaf community due to the lack of ...