Mohammed Imran, Mosharrof Hosen, Mohammad Ashraful Ferdous Chowdhury
Purpose Economic hardship and crime is always a debatable issue in the political economy literature. Some authors define poverty leads to crime some are completely opposite. The purpose of this paper is to find out the impact of poverty on crime in the USA. Design/methodology/approach Using time ser...
Imranul Ashrafi, Muntasir Mohammad, Arani Shawkat Mauree, Galib Md. Azraf Nijhum et al.
Named Entity Recognition (NER) is a task in Natural Language Processing (NLP) that aims to classify words into a predetermined list of Named Entities (NE). Many architectures have produced good results on high resourced languages like English and Chinese. However, the NER task has not yet achieved m...
Momotaz Begum, Mehedi Hasan Shuvo, Imran Ashraf, Abdullah Al Mamun et al.
The rising deployment of software in automation and the cognitive skills of machines indicate a machine revolution in modern human civilization. Thus, diagnosing and predicting software faults is crucial to software reliability. In this paper, we first preprocessed four real datasets offered by Nati...
Muhammad Imran Liaqat, Adnan Khan, Md. Ashraful Alam, M. K. Pandit et al.
In this study, we introduced a novel scheme to attain approximate and closed-form solutions of conformable Newell-Whitehead-Segel (NWS) equations, which belong to the most consequential amplitude equations in physics. The conformable Shehu transform (CST) and the Adomian decomposition method (ADM) a...
Abdullah H Baqui, Parvez Ahmed, Sushil Kanta Dasgupta, Nazma Begum et al.
OBJECTIVE: The objective of the Alliance for Maternal and Newborn Health Improvement (AMANHI) gestational age study is to develop and validate a programmatically feasible and simple approach to accurately assess gestational age of babies after they are born. The study will provide accurate, populati...
Md. Monirul Islam, K. M. Rafiqul Alam, Jia Uddin, Imran Ashraf et al.
Oral lesions are a prevalent manifestation of oral disease, and the timely identification of oral lesions is imperative for effective intervention. Fortunately, deep learning algorithms have shown great potential for automated lesion detection. The primary aim of this study was to employ deep learni...
Khairul Alom, Md. Zillur Rahman, Ashik Imran Khan, Delwar Akbar et al.
This study investigates how digital finance positively impacts the advancement of women's entrepreneurship, empowerment, and poverty reduction in Bangladesh. Covering the period from 2011 to 2023 and drawing from annual data, it sheds light on the transformative effects of digital finance on women's...
Momotaz Begum, Mehedi Hasan Shuvo, Mostofa Kamal Nasir, Mohammad Jakir Hossain et al.
Software defect identification (SDI) is a key part of improving the quality of software projects and lowering the risks that along with maintenance. It does identify the software defect causes that have not been reached yet to get sufficient results. On the other hand, many researchers have recently...
Mohammad Delwer Hossain Hawlader, Nusrat-E Mozid, Shakila Sharmin, Imran Hossain Monju et al.
Abstract Background Habits are obtained as a consequence of cue-contingent behavioural repetition. Context cues stimulate strong habits without an individual contemplating that action has been initiated. Because of its health-enhancing effects, making physical activity a part of one’s life is essent...
Mrinal Kanti Baowaly, Bisnu Chandra Sarkar, Md. Abul Ala Walid, Md. Martuza Ahamad et al.
The classification of bird species is of significant importance in the field of ornithology, as it plays an important role in assessing and monitoring environmental dynamics, including habitat modifications, migratory behaviors, levels of pollution, and disease occurrences. Traditional methods of bi...
Mohammad Mobarak Hossain, Mohammod Abul Kashem, Md. Monirul Islam, Md. Sahidullah et al.
The Internet of Things (IoT) has positioned itself globally as a dominant force in the technology sector. IoT, a technology based on interconnected devices, has found applications in various research areas, including healthcare. Embedded devices and wearable technologies powered by IoT have been sho...
Adnan Khan, Muhammad Imran Liaqat, Muhammad Younis, Ashraful Alam
In this paper, we present a simple and efficient novel semianalytic method to acquire approximate and exact solutions for the fractional order Cauchy reaction-diffusion equations (CRDEs). The fractional order derivative operator is measured in the Caputo sense. This novel method is based on the comb...
Imran Parvez, Mohammad Ashraful Alam, Mohammad Mahbubul Hassan, Yeasmin Ara et al.
Bangladesh is rich in freshwater biodiversity, but information on riverine fish diversity is lacking. This study represents a complete list of fish species of Dhepa, Punarbhaba, and Atrai rivers of Bangladesh based on surveys carried out for seven years, from 2009 to 2016. A total of 121 species bel...
Muhammad Imran Liaqat, Adnan Khan, Md. Ashraful Alam, M. K. Pandit
In this study, the highly accurate analytical Aboodh transform decomposition method (ATDM) in the sense of Caputo fractional derivative is used to determine the approximate and exact solutions of both linear and nonlinear time‐fractional Schrodinger differential equations (SDEs) with zero and nonzer...
Mohammad Ashraful Amin, Nusrat-E Mozid, Sanjana Binte Ahmed, Shakila Sharmin et al.
BACKGROUND: Women's sexual health and physical desire for sex are most important for their emotional and physical well-being. This study aimed to examine the status of sexual dysfunction among postmenopausal women in Bangladesh and assess the significant risk factors behind this. METHODS: A cross-se...