Hanif Bhuiyan

• Doctor of Philosophy
• Monash University (Australia)

Aim: This study evaluates the technical feasibility of Infafeed, a novel noninvasive prototype for measuring ingested milk volumes in neonates, offering an objective assessment to support breastfeeding. Materials and methods: A single-center pilot study was conducted. Twenty-four newborn infants (mean gestational age: 37 ± 1 weeks, birth weight: 2....

Crop failure is defined as crop production that is significantly lower than anticipated, resulting from plants that are harmed, diseased, destroyed, or influenced by climatic circumstances. With the rise in global food security concern, the earliest detection of crop diseases has proven to be pivotal in agriculture industries to address the needs o...

For liquid crystal display‐based devices, the memory sub‐system and backlight consume a notable amount of energy, posing a critical concern, especially for portable devices. This work introduces an integrated display system (IDS) aimed at combining technologies for energy‐efficient memory usage and backlight power optimization, which have been addr...

Visual data proliferation with technological innovations is progressively moving forward, bringing automation, digitization, and smartness to various aspects of daily lives. These visual data-dependent technologies need to be assessed during their development to ensure the quality of services. Consequently, when appropriate quality assessment metri...

Improving the safety of autonomous vehicles (AVs) by making driving decisions in accordance with traffic rules is a complex task. Traffic rules are often expressed in a way that allows for interpretation and exceptions, making it difficult for AVs to follow them. This paper proposes a novel methodology for driving decision making in AVs based on de...

Automated Vehicles (AVs) are designed and programmed to follow traffic rules. However, there is no separate and comprehensive regulatory framework dedicated to AVs. The current Queensland traffic rules were designed for humans. These rules often contain open texture expressions, exceptions, and potential conflicts (conflict arises when exceptions c...

Road traffic injuries are one of the primary reasons for death, especially in developing countries like Bangladesh. Safety in land transport is one of the major concerns for road safety authorities and other policymakers. For this reason, contributory factors identification associated with crashes is necessary for reducing road crashes and ensuring...

It is crucial to validate driving behaviour against current road rules to improve Autonomous Vehicle (AV) safety. Validating the AV behaviour is challenging due to the way Queensland Overtaking Road Rules are written, as it includes vague terms and exceptions. This research introduces a Defeasible Deontic Logic (DDL) based framework to validate AV...

Healthy farm plant leaf classification and identification is a critical food security issue. In many places of the world, it remains tough as it needs appropriate infrastructure. Combining the rising worldwide prevalence of the smartphone with current progress in computer vision through deep learning, now it is possible to diagnose inconsistency of...

Nowadays, social media is the main source of all global and local news in this generation. But the propagation of fake news and misleading information through social media has become a major concern. Fake news and misleading information often cause crucial damage to human life and society. Moreover, social media has become a source of news, views,...

Nowadays, social media is the main source of all global and local news in this generation. But the propagation of fake news and misleading information through social media has become a major concern. Fake news and misleading information often cause crucial damage to human life and society. Moreover, social media has become a source of news, views,...

Question answering (QA) is a popular method to extract information from a large pool of data. However, effective feature extraction and semantic understanding, and interaction between question and answer pairs are the main challenges for the QA model. Mitigating these issues, here, we propose a Long-Short-Term-Memory (LSTM) model using the recurren...

The recent advances of Augmented Reality (AR) in healthcare have shown that technology is a significant part of the current healthcare system. In recent days, augmented reality has proposed numerous intelligent applications in the healthcare domain including, wearable access, telemedicine, remote surgery, diagnosis of medical reports, emergency med...

The uncapacitated transportation problem (UTP) deals with minimizing the transportation costs related to the delivery of a homogeneous product from multi-suppliers to multi-consumers. The application of the UTP can be extended to other areas of operations research, including inventory control, personnel assignment, signature matching, product distr...

This paper discusses the reliability of multi-objective multi-item solid transport (F-MOMIST) problem with the transportation of penalties represented by the trapezoidal fuzzy numbers. We extended the existing F-MOMIST by introducing the fuzzy efficient concept and fuzzy crisp. We propose a weighting Tchebycheff approach to efficiently solve F-MOMI...

The recent advances of Augmented Reality (AR) in healthcare have shown that technology is a significant part of the current healthcare system. In recent days, augmented reality has proposed numerous smart applications in healthcare domain including wearable access, telemedicine, remote surgery, diagnosis of medical reports, emergency medicine, etc....

Automatically assessing driving behaviour against traffic rules is a challenging task for improving the safety of Automated Vehicles (AVs). There are no AV specific traffic rules against which AV behaviour can be assessed. Moreover current traffic rules can be imprecisely expressed and are sometimes conflicting making it hard to validate AV driving...

Understanding customer's sentiment (satisfaction or dissatisfaction) is considered as valuable information for both the potential customers and restaurant authority. However, analyzing customer reviews (unstructured texts) one by one is a difficult task and also practically impossible when the number of reviews is enormous. Therefore, it seems conc...

Nowadays, people share various information and ideas through several online video service platforms such as Facebook, Twitter, Flicker, Buzznet and Google. Among them, YouTube has gained immense popularity as a comprehensive source of dramatic, aesthetic and artistic videos due to its promising criteria like title, description and tags. Generally,...

This paper introduces a methodology for the encoding of rules into a semantic logical format to facilitate the automated reasoning process. We demonstrate how to identify, capture, combine, and thus formulate all the components from rules into a computationally-oriented formalism. The need for the methodology is motivated by the desire for automate...

Nowadays among various search mechanism, Google is one of the best information retrieval mechanisms for retrieving useful result as per user query. Generally, the complete searching process of Google is completed by crawler and indexing process. Actually, Google performs the documents indexing process considering various features of web documents (...

YouTube is one of the comprehensive video information source on the web where video is uploading continuously in real time. It is one of the most popular site in social media, where users interact with sharing, commenting and rating (like/views) videos. Generally the quality, relevancy and popularity of the video is maintained based on this rating....

E-mail is one of the most secure medium for online communication and transferring data or messages through the web. An overgrowing increase in popularity, the number of unsolicited data has also increased rapidly. To filtering data, different approaches exist which automatically detect and remove these untenable messages. There are several numbers...

This research work describes a computer system for understanding the parsing of Bangla sentences. It draws on recent developments in Natural Language Processing (NLP) research to look at the past, present, and future of NLP technology in a new light. The research work of Bangla Language Processing (BLP) was started in late1980s in Bangladesh and it...

Wikipedia infoboxes have emerged as an important structured information source on the web. To compose infobox for an article, considerable amount of manual effort is required from an author. Due to this manual involvement, infobox suffers from inconsistency, data heterogeneity, incompleteness, schema drift etc. Prior works attempted to solve those...

Wikipedia infoboxes serve as important structured information source in the web. To author infobox for a particular article, volunteers required a considerable amount of manual effort to identify the respective infobox template. Thus, an automatic process to mark infobox template might be useful and beneficial for the Wikipedia contributors. In thi...