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Browsing by Subject "machine learning"

Browsing by Subject "machine learning"

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  • Artificial Intelligence in Pediatric Cardiology: a Scoping Review 
    Sethi, Yashendra; Patel, Neil; Kaka, Nirja; Desai, Ami; Kaiwan, Oroshay; Sheth, Mili; Sharma, Rupal; Huang, Helen; Chopra, Hitesh; Khandaker, Mayeen Uddin; Lashin, Maha M A; Hamd, Zuhal Y; Emran, Talha Bin (Scopus, 22-11-29)
    The evolution of AI and data science has aided in mechanizing several aspects of medical care requiring critical thinking: diagnosis, risk stratification, and management, thus mitigating the burden of physicians and reducing ...
  • A Deep Learning Approach to Predict Chronic Kidney Disease in Human 
    Arafat, Faisal; Khan, Thaharim; Bapon, Atanu Das; Khan, Md. Ibrahim; Noori, Sheak Rashed Haider (Scopus, 2021)
    Renal turmoil otherwise called Chronic Kidney Disease (CKD) has been a very important field of study for a long while now. Diagnosis of CKD requires a lot of tests and it's not a straightforward or easy process. Recent ...
  • Evaluating Machine Learning Algorithms for Heart Disease Prediction 
    Islam, MD. Sofiqul; Shiblee, Shah Moazzam Hossen (Daffodil International University, 23-02-18)
    One of the significant motives of death globally is a heart-attack. Heart-attack detection early on can save lives. In this exploration, we mention a predictive machine learning algorithm of heart attack. The algorithm ...
  • Leveraging Sensor Fusion and Sensor-Body Position for Activity Recognition for Wearable Mobile Technologies 
    Alam, Ashraful; Das, Anik; Tasjid, Shahriar; Marouf, Ahmed Al (Scopus, 2021)
    —Smart devices like smartphones and smartwatches have made this world smarter. These wearable devices are created through complex research methodologies to make them more usable and interactive with its user. Various ...
  • Leveraging Smartphone Sensors for Detecting Abnormal Gait for Smart Wearable Mobile Technologies 
    Tasjid, Md Shahriar; Marouf, Ahmed Al (Scopus, 2021)
    Walking is one of the most common modes of terrestrial locomotion for humans. Walking is essential for humans to perform most kinds of daily activities. When a person walks, there is a pattern in it, and it is known as ...
  • Predicting Students 
    Zulfiker, Md. Sabab; Kabir, Nasrin; Biswas, Al Amin; Chakraborty, Partha; Rahman, Md. Mahfujur (Scopus, 2020)
    Every year thousands of students get admitted into different universities in Bangladesh. Among them, a large number of students complete their graduation with low scoring results which affect their careers. By predicting ...
  • The Use of Wearable Sensors for the Classification of Electromyography Signal Patterns based on Changes in the Elbow Joint Angle 
    Rahman, SAM Matiur; Ali, Md. Asraf; Mamun, Md. Abdullah Al (Scopus, 2021)
    Upper limb elbow movement in terms of flexion-relaxation is a complex physical phenomenon in human daily life, particularly during synchronized activities, such as exercising, reaching, pointing, and manipulating. Improper ...
  • Utilizing Smartphone Usage Pattern for Gender Recognition Applying Machine Learning Algorithms 
    Polin, Johora Akter; Khan, Omayer; Marouf, Ahmed Al (Scopus, 2020)
    Smartphones can connect people over long distance within few seconds and perform critical tasks easily. The concept of global village has turned into reality through the optimum usage of smartphones. Smartphone is not just ...

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