
Humayan Kabir RanaGreen University of Bangladesh · Department of Computer Science and Engineering
Humayan Kabir Rana
B.Sc. Engg. in CSE
About
39
Publications
27,523
Reads
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546
Citations
Introduction
Humayan Kabir Rana is currently working as Sr. Lecturer at the Department of Computer Science and Engineering, Green University of Bangladesh. Humayan does research in Computational Biology and Bioinformatics, Machine Learning, and Medical Image Analysis.
Additional affiliations
September 2015 - April 2018
Education
January 2010 - March 2015
Publications
Publications (39)
This study presents a comprehensive review of the potential of multimodal deep learning (DL) in medical diagnosis, using COVID-19 as a case example. Motivated by the success of artificial intelligence applications during the COVID-19 pandemic, this research aims to uncover the capabilities of DL in disease screening, prediction, and classification,...
This study presents a comprehensive review of the potential of multimodal deep learning (DL) in medical diagnosis, using COVID-19 as a case example. Motivated by the success of artificial intelligence applications during the COVID-19 pandemic, this research aims to uncover the capabilities of DL in disease screening, prediction, and classification,...
Computational approaches can speed up the drug discovery process by predicting drug-target affinity, otherwise it is time-consuming. In this study, we developed a convolutional neural network (CNN)-based model named SMILES2DTA (Simplified Molecular Input Line Entry System to Drug-Target Affinity) for predicting the binding affinity between a drug a...
Breast cancer is an alarming global health concern, including a vast and varied set of illnesses with different molecular characteristics. The fusion of sophisticated computational methodologies with extensive biological datasets has emerged as an effective strategy for unravelling complex patterns in cancer oncology. This research delves into brea...
Background: Experiencing long-term weightlessness during prolonged spaceflight in microgravity environments causes enormous changes in human physiology. Past space missions have revealed that low gravity in space is a serious threat to the development of several human diseases, especially bone and joint diseases (BJDs), which have been identified a...
Machine learning (ML) algorithms employ a wide variety of methods such as statistical, probabilistic and optimization that allow machines to learn and predict based on historical data. For these capabilities, ML is substantially used in different cancer prediction. The exact prediction is essential for the planning of cancer treatment. This work ai...
Several studies have been done to identify comorbidities of COVID-19. In this work, we developed an analytical bioinformatics framework to reveal COVID-19 comorbidities, their genomic associations, and molecular mechanisms accomplishing transcriptomic analyses of the RNA-seq datasets provided by the Gene Expression Omnibus (GEO) database, where nor...
Colorectal Cancer (CRC) is the most malignant tumor of the large intestine. In the beginning, some non-cancerous clumps of cells called polyps grow inside the intestine and over the time some of those polyps become CRC. People who are affected by CRC have a significant risk of occurring comorbidities like amyotrophic lateral sclerosis, attention de...
Prion disorder (PD) is caused by misfolding and the formation of clumps of proteins in the brain, notably Prion proteins resulting in a steady decrease in brain function. Early detection of PD is difficult due to its unpredictable nature, and diagnosis is limited regarding specificity and sensitivity. Considering the uncertainties, the current stud...
Background:
Cardiovascular disease (CVD) is the combination of coronary heart disease, myocardial infarction, rheumatic heart disease, and peripheral vascular disease of the heart and blood vessels. It is one of the leading deadly diseases that causes one-third of the deaths yearly in the globe. Additionally, the risk factors associated with it ma...
Diabetes is a communal illness with a tremendous impact on health and people with diabetes are at suggestively advanced risk for making many types of genetic dysfunction, particularly cancers like liver, uterine, lung, and colon cancer. To precise individuals with diabetes have specifically high levels of insulin in their blood, which could make fo...
COVID-19 is an infectious illness concerning coronavirus that is transmitted through droplets propagated by an infected person exhales, coughs, or sneezes. People affected by coronavirus have a risk to occur respiratory diseases (RDs). The longevity of COVID-19 may appear a vital risk of manifesting RDs. To address these issues, we explored transcr...
The coronavirus disease (COVID-19) caused by SARS-COV-2, a highly infectious pathogen, genetically similar to SARS-COV is an unprecedented worldwide health crisis. Rapidly accumulating clinical research revealed that COVID-19 is manifested by various neurological symptoms and also affects the brain in many ways including direct infection to systemi...
The Coronavirus Disease 2019 (COVID-19) still tends to propagate and increase the occurrence of COVID-19 across the globe. The clinical and epidemiological analyses indicate the link between COVID-19 and Neurological Diseases (NDs) that drive the progression and severity of NDs. Elucidating why some patients with COVID-19 influence the progression...
The novel coronavirus (2019-nCoV) has recently emerged, causing COVID-19 outbreaks and significant societal/global disruption. Importantly, COVID-19 infection resembles SARS-like complications. However, the lack of knowledge about the underlying genetic mechanisms of COVID-19 warrants the development of prospective control measures. In this study,...
Glioblastoma (GBM) is a common malignant brain tumor which often presents as a comorbidity with central nervous system (CNS) disorders. Both CNS disorders and GBM cells release glutamate and show an abnormality, but differ in cellular behavior. So, their etiology is not well understood, nor is it clear how CNS disorders inf luence GBM behavior or g...
Gastric cancer is a cancer in which malignant cell develops in the inner lining of stomach. The mortality risk of gastric cancer increases when several related diseases arise with it as comorbidity. Nowadays, the severities of gastric cancer and its comorbidity is a global health concern. To deal with this issue we implemented a standard analytical...
According to recent survey of WHO (World Health Organization) 17.9 million people die each year because of heart related diseases and it is increasing rapidly. With the increasing population and diseases, it has become challenging to diagnosis and treatment diseases at the right time. But there is a light of hope that recent advancements in technol...
Stroke is one of the most life threatening diseases. Now a day the difficulty of Stroke is a global health concern. Once a stroke disease occurs, it is not only matter of huge medical care and permanent disability but also can eventually lead to death. The most of the strokes can be prevent if we can identify or predict the occurrence of stroke in...
It is indispensable to ensure security biometrically in the most
authentication and identification scenario. Iris recognition
regarded as the most reliable biometric recognition due to its
stable and extraordinary variation in texture. The unique
patterns are used in iris recognition to identify individuals in
requiring a high level of security. Th...
The currently utilized neuroimaging and cerebrospinal fluid-based detection of Alzheimer's disease (AD) suffer several limitations, including sensitivity, specificity, and cost. Therefore, the identification of AD by analyzing blood gene expression may ameliorate the early diagnosis of the AD. We aimed to identify common genes commonly deregulated...
Background
Type 2 diabetes (T2D) is an interminable illness that makes many types of genetic dysfunction in the human body, particularly to the nerves, veins, kidneys, liver and uterus. T2D existence in a longer period of time may create the risk of building some comorbidities, however the indication of this risk is inadequately comprehended. To ad...
Welding generates and releases fumes that are hazardous to human health. Welding fumes (WFs) are a complex mix of metallic oxides, fluorides and silicates that can cause or exacerbate health problems in exposed individuals. In particular, WF inhalation over an extended period carries an increased risk of cancer, but how WFs may influence cancer beh...
Identification of genes whose regulation of expression is functionally similar in both brain tissue and blood cells could in principle enable monitoring of significant neurological traits and disorders by analysis of blood samples. We thus employed transcriptional analysis of pathologically affected tissues, using agnostic approaches to identify ov...
Lung cancer is that kind of disease that can bedefined as one of the threating one and has become verychallenging these days. In many cases, the cells that carry canceroverlap with each other and its very hard to detect in the initialstage. But fact is, early detection bring solution; it can reducethe death for sure. Throughout the study, we use a...
With an increasing demand for stringent security systems, automated identification of individuals based on biometric methods has been a major focus of research and development over the last decade. Biometric recognition analyses unique physiological traits or behavioral characteristics, such as an iris, face, retina, voice, fingerprint, hand geomet...
Background: The welding process releases potentially hazardous gases and fumes, mainly composed of metallic oxides, fluorides and silicates. Long term welding fume (WF) inhalation is a recognized health issue that carries a risk of developing chronic health problems, particularly respiratory system diseases (RSDs). Aside from general airway irritat...
Background: Welding involves exposure to fumes, gases and radiant energy that can be hazardous to human health. Welding fumes (WFs) comprise a complex mixture of metallic oxides, silicates and fluorides that may result in different health effects. Inhalation of WFs in large quantities over a long periods may pose a risk of developing neurodegenerat...
Lung cancer is one of the most dangerous diseases and prediction of it, is the most challenging problem nowadays. Most of the cancer cells are overlapped with each other. It is hard to detect the cells but also essential to identify the presence of cancer cells in the early stage. Early detection of lung cancer may reduce the death rate. In this st...
The pitch estimation and Voice activity detection (VAD) is the task of classifying an acoustic signal stream into voiced and unvoiced segments that plays as a crucial preprocessing tool to a wide range of speech applications. In this paper, a weighted multi-band summary correlogram (MBSC)-based pitch estimation algorithm (PEA) as well as voice acti...
Pattern matching algorithm plays a vital role for searching and analyzing patterns in computational biology. The functional and structural relationship among different DNA databases is performed by different algorithms. The matching algorithms, is a major research area. This paper surveys the performance of Naïve exact matching, and Knuth-Morris-Pr...
Data mining is a sum of process to find anomalies, patterns, correlations which can assist banks to look for hidden patterns in a group and discover unknown relationship in the data. In this competitive world, governments, private companies, large organizations and all businesses, predict their future plans using various methods of data mining. Ban...
The Biometric recognition is the study of identifying individuals based on their unique physiological or behavioral characteristics, includes iris, face, fingerprint, retina, vein, hand geometry, hand writing, human gait, signature, keystrokes and voice. Among the biometrics, an iris has unique structure and it remains stable over a person life tim...
Questions
Question (1)
I want to merge the number of reads and recommendations of a preprint article to its published version. I can't do it please help me.