Iqbal H. Sarker
In the current age of the Fourth Industrial Revolution (4 IR or Industry 4.0), the digital world has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data, business data, social media data, health data, etc. To intelligently analyze these data and develop the corre...
Iqbal H. Sarker
Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI) is nowadays considered as a core technology of today's Fourth Industrial Revolution (4IR or Industry 4.0). Due to its learning capabilities from data, DL technology originated from artificial neural network (ANN),...
Razin Ahmed, Victor Sreeram, Yateendra Mishra, Muammer Din Arif
Integration of photovoltaics into power grids is difficult as solar energy is highly dependent on climate and geography; often fluctuating erratically. This causes penetrations and voltage surges, system instability, inefficient utilities planning and financial loss. Forecast models can help; howeve...
Sukarna Barua, Md. Monirul Islam, Xin Yao, Kazuyuki Murase
Imbalanced learning problems contain an unequal distribution of data samples among different classes and pose a challenge to any classifier as it becomes hard to learn the minority class samples. Synthetic oversampling methods address this problem by generating the synthetic minority class samples t...
Md. Rakibul Hoque, Golam Sorwar
Background mHealth (mobile health) services are becoming an increasingly important form of information and communication technology (ICT) enabled delivery for healthcare, especially in low-resource environments such as developing countries like Bangladesh. Despite widespread adoption of mobile phone...
Anne Marie Goetz, Rina Sen Gupta
Shams Forruque Ahmed, Md. Sakib Bin Alam, Maruf Hassan, Mahtabin Rodela Rozbu et al.
Abstract Deep learning (DL) is revolutionizing evidence-based decision-making techniques that can be applied across various sectors. Specifically, it possesses the ability to utilize two or more levels of non-linear feature transformation of the given data via representation learning in order to ove...
Anne Marie Goetz, Rina Sen Gupta
Abstract Special credit institutions in Bangladesh have dramatically increased the credit available to poor rural women since the mid-1980s. Though this is intended to contribute to women's empowerment, few evaluations of loan use investigate whether women actually control this credit. Most often, w...
Mufti Mahmud, M. Shamim Kaiser, Amir Hussain, Stefano Vassanelli
Rapid advances in hardware-based technologies during the past decades have opened up new possibilities for life scientists to gather multimodal data in various application domains, such as omics, bioimaging, medical imaging, and (brain/body)-machine interfaces. These have generated novel opportuniti...
Md. Mahmudul Hasan, Md. Milon Islam, Md Ishrak Islam Zarif, M. M. A. Hashem
Attack and anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats and attacks in these infrastructures are also growing commensurately. Denial of Service, Data Type Probing, Mali...
Liang Zheng, Hengheng Zhang, Shaoyan Sun, Manmohan Chandraker et al.
This paper presents a novel large-scale dataset and comprehensive baselines for end-to-end pedestrian detection and person recognition in raw video frames. Our baselines address three issues: the performance of various combinations of detectors and recognizers, mechanisms for pedestrian detection to...
Agnes Quisumbing, John A. Maluccio
Abstract We test the unitary versus collective model of the household using specially designed data from Bangladesh, Ethiopia, Indonesia, and South Africa. Human capital and individual assets at the time of marriage are used as proxy measures for bargaining power. In all four countries, we reject th...
Shuaihua Lu, Qionghua Zhou, Yixin Ouyang, Yilv Guo et al.
Rapidly discovering functional materials remains an open challenge because the traditional trial-and-error methods are usually inefficient especially when thousands of candidates are treated. Here, we develop a target-driven method to predict undiscovered hybrid organic-inorganic perovskites (HOIPs)...
Md. Zabirul Islam, Md. Milon Islam, Amanullah Asraf
Nowadays, automatic disease detection has become a crucial issue in medical science due to rapid population growth. An automatic disease detection framework assists doctors in the diagnosis of disease and provides exact, consistent, and fast results and reduces the death rate. Coronavirus (COVID-19)...
Muhammad Azizul Islam, Craig Deegan
Purpose The aim of the paper is to describe and explain, using a combination of interviews and content analysis, the social and environmental reporting practices of a major garment export organisation within a developing country. Design/methodology/approach Senior executives from a major organisatio...