• Factors Causing Stunting Among Under-Five Children in Bangladesh 

  Abid, Dm. Mehedi Hasan; Haque, Aminul; Hossain, Md. Kamrul (Springer, 2020-10-22)

  Malnutrition is one of the major problems in developing countries including Bangladesh. Stunting is a chronic malnutrition, which indicates low height for age and interrupt the growth. The purpose of this research is to ...
• International Summit on Employability and Soft Skills (ISESS2017) 

  University, Daffodil International (Daffodil International University, 2017-03-25)

  It is my pleasure that Daffodil International University (DIU) is going to host an international academic event titled “International Summit on Employability and Soft Skills (ISESS2017)” to facilitate more opportunity to ...
• Modelling the Knowledge-Sharing Behaviour of Students on Facebook 

  Hossain, Mohamed Emran; Bhuiyan, Touhid; Mahmud, Imran; Arman, Md. Shohel (ProQuest LLC, 2018)

  This paper aims to illustrate the relationship between the constructs of social cognitive theory and social exchange theory with regard to the knowledge-sharing behaviour of students on Facebook. This research was conducted ...
• Watershed-Matching Algorithm: A New Pathway for Brain Tumor Segmentation 

  Hasan, S. M. Kamrul; Sarkar, Yugoshree; Ahmad, Mohiudding (Springer Nature, 2017-10-29)

  Brain tumor detection through Magnetic Resonance Imaging (MRI) is a very challenging task even in today’s modern medical image processing research. To form images of the soft tissue of the human body, surgeons use MRI ...
• An Adaptive Feature Dimensionality Reduction Technique Based on Random Forest on Employee Turnover Prediction Model 

  Islam, Md. Kabirul; Alam, Mirza Mohtashim; Islam, Md. Baharul; Mohiuddin, Karishma; Das, Amit Kishor; Kaonain, Md. Shamsul (Springer Nature, 2018-10-26)

  This paper is based on the theme of employee attrition where the reasoning behind employee turnover has predicted with the help of machine learning approach. As employee turnover has become a vital issue these days due to ...
• Highly sensitive SPR based PCF for biological substance sensing: design and analysis 

  Asaduzzama, Sayed; Paul, Bikash Kumar; Ahmed, Kawsar; Bhuiyan, Touhid; Rahman, SAM Matiur (SPIE., 2018-05-17)

  Proposed and numerically investigated by Finite Element Method (FEM). The proposed SPR-based In this paper, a surface Plasmon resonance (SPR) based photonic crystal fiber has been PCF shows higher average wavelength ...
• PRMT: Predicting Risk Factor of Obesity among Middle-Aged People Using Data Mining Techniques 

  Hossain, Rifat; Mahmud, S.M. Hasan; Hossin, Md Altab; Noori, Sheak Rashed Haider; Jahan, Hosney (Elsevier B.V., 2018-06-08)

  Obesity is an anatomical condition characterized by an extreme growth of body fat. The obesity rate is increasing gradually; from prior research, obesity is the serious health disease in the globe. This study collected 259 ...
• Role of Absorptive Capacity in Predicting Continuance Intention to Use Digital Libraries: An Empirical Study 

  Hossain, Mohamed Emran; Bhuiyan, Touhid; Mahmud, Imran; Ramayah, T.; Scholtz, Brenda (Springer International Publishing, 2018-07-20)

  The purpose of this paper is to investigate the impact of absorptive capacity and the quality dimensions of technology on students’ continuance intention to use the e-library system. To measure the continuance intention, ...
• Modeling the Role of C2C Information Quality on Purchase Decision in Facebook 

  Haque, Rafita; Mahmud, Imran; Sharif, Md. Hasan; Kabir, S. Rayhan; Chowdhury, Arpita; Akter, Farzana; Akhi, Amatul Bushra (The International Federation for Information Processing, 2018-10-12)

  A market which provides an innovative way to allow customers to interact with each other called Customer-to-customer (C2C) market. In C2C communications, online communities play an important role in decision making to buy ...
• A Potent Model to Recognize Bangla Sign Language Digits Using Convolutional Neural Network 

  (Md.), Sanzidul Islam; Mousumi, Sadia Sultana Sharmin; Rabby, AKM Shahariar Azad; Hossain, Sayed Akhter; Abujar, Sheikh (Elsevier B.V., 2018-11-19)

  Hearing impaired people have own language called Sign Language but it is difficult for understanding to general people. Sign language is the basic method of communication for deaf people during their everyday of life. Sign ...
• EkushNet: Using Convolutional Neural Network for Bangla Handwritten Recognition 

  Rabby, AKM Shahariar Azad; Haque, Sadeka; Abujar, Sheikh; Hossain, Syed Akhter (Elsevier B.V., 2018-11-19)

  EkushNet is the first research which can recognize Bangla handwritten basic characters, digits, modifiers, and compound characters. Handwritten recognition is one of the most interesting issue in present time due to its ...
• BornoNet: Bangla Handwritten Characters Recognition Using Convolutional Neural Network 

  Rabby, Akm Shahariar Azad; Haque, Sadeka; (Md.), Sanzidul Islam; Abujar, Sheikh; Hossain, Syed Akhter (Elsevier B.V., 2018-11-19)

  Bangla handwriting recognition is becoming an important issue in several years but it becomes a challenge to get good performance due to the alignment and many of them are similar. A simple, lightweight CNN model has been ...
• InceptB: A CNN Based Classification Approach for Recognizing Traditional Bengali Games 

  Islam, Mohammad Shakirul; Foysal, Ferdouse Ahmed; Neehal, Nafis; Karim, Enamul; Hossain, Syed Akhter (Elsevier B.V., 2018-11-19)

  Sports activities are an integral part of our day to day life. Introducing autonomous decision making and predictive models to recognize and analyze different sports events and activities has become an emerging trend in ...
• A Universal Way to Collect and Process Handwritten Data for Any Language 

  Rabby, AKM Shahariar Azad; Haque, Sadeka; Shahinoor, Shammi Akther; Abujar, Sheikh; Hossain, Syed Akhter (Elsevier B.V., 2018-11-19)

  In recent years researches based on Machine learning and Deep learning have achieved much interest and one of its handwritten recognition. Handwritten recognition is very difficult due to its lack of dataset and also for ...
• Evaluation of Tree Based Machine Learning Classifiers for Android Malware Detection 

  Rana, Md. Shohel; Rahman, Sheikh Shah Mohammad Motiur; Sung, Andrew H. (Springer Nature, 2018-08-08)

  Android is a most popular mobile-based operating system with billions of active users, which has encouraged hackers and cyber-criminals to push the malware into this operating system. Accordingly, extensive research has ...
• Relative Direction: Location Path Providing Method for Allied Intelligent Agent 

  Kabir, S. Rayhan; Alam, Mirza Mohtashim; Allayear, Shaikh Muhammad; Munna, Md Tahsir Ahmed; Hossain, Syeda Sumbul; Rahman, Sheikh Shah Mohammad Motiur (Springer Nature, 2018-10-31)

  The most widely recognized relative directions are left, right, forward and backward. This paper has presented a computational technique for tracking location by learning relative directions between two intelligent agents, ...
• Burst Header Packet Flood Detection in Optical Burst Switching Network Using Deep Learning Model 

  Hasan, Md. Zahid; Hasan, K.M. Zubair; Sattar, Abdus (Elsevier B.V., 2018-11-19)

  The Optical Burst Switching (OBS) network is mostly victimized to the Denial of Service (DOS) attack, referred as Burst Header Packet (BHP) flooding attack can prevent reasonable traffics from keeping the necessary resources ...
• e-School: Design and Implementation of Web Based Teaching Institution for Enhancing E-Learning Experiences 

  Rana, Md. Shohel; Bhuiyan, Touhid; Satter, A. K. M. Zaidi (Springer Nature, 2018-08-08)

  Numerous technological improvements have found in the academic setting which removes the binding of educators and students from time and space. Day by day, the rate of drop-out is increasing by separation of them from ...
• Local File Disclosure Vulnerability: A Case Study of Public-Sector Web Applications 

  Ahmed, M. Imran; Hassan, Md Maruf; Bhuyian, Touhid (IOP Publishing, 2018-01-03)

  Abstract Almost all public-sector organizations in Bangladesh now offer online services through web applications, along with the existing channels, in their endeavor to realize the dream of a 'Digital Bangladesh'. Nations ...
• Enhancing the security of cloud computing: Genetic algorithm and QR code approach 

  Dey, Samrat Kumar; Uddin, Md. Raihan; Kabir, Kh. Mohaimenul; Rahman, Md. Mahbubur (IEEE, 2018-01-15)

  Paradigms of Cloud computing are gaining prevalent acceptance due to the numerous benefits they provide. These comprise cost-effectiveness, time savings and effective deployment of computing resources. However, privacy and ...

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