Shahadat Iqbal, Charisma F. Choudhury, Pu Wang, Marta C. González
In this research, we propose a methodology to develop OD matrices using mobile phone Call Detail Records (CDR) and limited traffic counts. CDR, which consist of time stamped tower locations with caller IDs, are analyzed first and trips occurring within certain time windows are used to generate tower...
Iqbal H. Sarker, A. S. M. Kayes, Paul Watters
Due to the increasing popularity of recent advanced features and context-awareness in smart mobile phones, the contextual data relevant to users’ diverse activities with their phones are recorded through the device logs. Modeling and predicting individual’s smartphone usage based on contexts, such a...
Nadeem Ahmed, Jahir Ibna Rafiq, Md. Rashedul Islam
Human activity recognition (HAR) techniques are playing a significant role in monitoring the daily activities of human life such as elderly care, investigation activities, healthcare, sports, and smart homes. Smartphones incorporated with varieties of motion sensors like accelerometers and gyroscope...
Iqbal H. Sarker, Mohammed Moshiul Hoque, Md. Kafil Uddin, Tawfeeq Alsanoosy
Artificial intelligence (AI) techniques have grown rapidly in recent years in the context of computing with smart mobile phones that typically allows the devices to function in an intelligent manner. Popular AI techniques include machine learning and deep learning methods, natural language processin...
Xin Lü, David Wrathall, Pål Sundsøy, Md. Nadiruzzaman et al.
Climate change is likely to drive migration from environmentally stressed areas. However quantifying short and long-term movements across large areas is challenging due to difficulties in the collection of highly spatially and temporally resolved human mobility data. In this study we use two dataset...
Iqbal H. Sarker
Niloy Sikder, Abdullah-Al Nahid
In Artificial Intelligence, Human Activity Recognition (HAR) refers to the capability of machines to identify various activities performed by the users. The knowledge acquired from these recognition systems is integrated into many applications where the associated device uses it to identify actions ...
Xiang Cheng, Luoyang Fang, Xuemin Hong, Liuqing Yang
The worldwide rollout of 4G LTE mobile communication networks has accelerated the proliferation of the mobile Internet and spurred a new wave of mobile applications on smartphones. This new wave has provided mobile operators an enormous opportunity to collect a huge amount of data to monitor the tec...
Iqbal H. Sarker
Real-life mobile phone data may contain noisy instances, which is a fundamental issue for building a prediction model with many potential negative consequences. The complexity of the inferred model may increase, may arise over-fitting problem, and thereby the overall prediction accuracy of the model...
Iqbal H. Sarker
Abstract Smartphones are considered as one of the most essential and highly personal devices of individuals in our current world. Due to the popularity of context-aware technology and recent developments in smartphones, these devices can collect and process raw contextual data about users’ surroundi...
Andrew Reid Bell, Patrick S. Ward, Md. Ehsanul Haque Tamal, Mary Killilea
A major impediment to understanding human-environment interactions is that data on social systems are not collected in a way that is easily comparable to natural systems data. While many environmental variables are collected with high frequency, gridded in time and space, social data is typically co...
M. Shamim Kaiser, Khin Lwin, Mufti Mahmud, Donya Hajializadeh et al.
The recent expansion of pervasive computing technology has contributed with novel means to pursue human activities in urban space. The urban dynamics unveiled by these means generate an enormous amount of data. These data are mainly endowed by portable and radio-frequency devices, transportation sys...
Md. Salman Shamil, Farhanaz Farheen, Nabil Ibtehaz, Irtesam Mahmud Khan et al.
The coronavirus disease 2019 (COVID-19) has resulted in an ongoing pandemic worldwide. Countries have adopted non-pharmaceutical interventions (NPI) to slow down the spread. This study proposes an agent-based model that simulates the spread of COVID-19 among the inhabitants of a city. The agent-base...
Zuoxian Gan, Min Yang, Tao Feng, Harry Timmermans
Syed Ishtiaque Ahmed, Md Romael Haque, Shion Guha, Md. Rashidujjaman Rifat et al.
With the rapid growth of ICT adoption in the Global South, crimes over and through digital technologies have also increased. Consequently, governments have begun to undertake a variety of different surveillance programs, which in turn provoke questions regarding citizens' privacy rights. However, bo...