Trepo - Selaus tekijän mukaan "Azam, Sami"
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Chronic Renal Disease Prediction using Clinical Data and Different Machine Learning Techniques
Raihan, Md Mohsin Sarker; Ahmed, Eshtiak; Karim, Asif; Azam, Sami; Raihan, M.; Akter, Laboni; Hassan, Md Mehedi
2nd International Informatics and Software Engineering Conference, IISEC 2021 (2022)
conference<p>Chronic Renal Disease (CRD) or Chronic Kidney Disease (CKD) is defined as the continuous loss of kidney function. It's a long-term condition in which the kidney or renal doesn't work properly, gets damaged ... -
Cognitive Learning Environment and Classroom Analytics (CLECA): A Method Based on Dynamic Data Mining Techniques
Al Karim, Miftah; Karim, Asif; Azam, Sami; Ahmed, Eshtiak; De Boer, Friso; Islam, Ashraful; Nur, Fernaz Narin
Lecture Notes on Data Engineering and Communications Technologies (2021)
conference<p>With the advent of modern data analytics tools, understanding the bits and pieces of any environment with the abundance of relevant data has become a reality. Traditional post event analyses are evolving toward ... -
Identifying Long-Term Deposit Customers: A Machine Learning Approach
Rony, Mohammad Abu Tareq; Hassan, Md Mehedi; Ahmed, Eshtiak; Karim, Asif; Azam, Sami; Reza, D. S.A.Aashiqur (2021)
conferenceMajority of the revenue from the banking sector is usually generated from long term deposits by customers. It is for banks to understand customer characteristics to increase product sales. To aid this, marketing strategies ... -
Mitigating the Latency Induced Delay in IP Telephony Through an Enhanced De-Jitter Buffer
Karim, Asif; Ahmed, Eshtiak; Azam, Sami; Shanmugam, Bharanidharan; Ghosh, Pronab
Lecture Notes on Data Engineering and Communications Technologies (23.07.2021)
conference<p>IP telephony or voice over IP (VoIP) at present is promising a shining future for voice services. There are several technical aspects which make the technology attractive; on the other hand, few technical loopholes ...