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Article
An improved 3D U-Net-based deep learning system for brain tumor segmentation using multi-modal MRI
Cancer is a lethal illness that requires an initial stage prognosis to enhance patient survival rate. Accurate brain tumor and their sub-structure segmentation through Magnetic Resonance Images (MRIs) is a tou...
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Article
Open AccessAneuploidy is Linked to Neurological Phenotypes Through Oxidative Stress
Aneuploidy, having an aberrant genome, is gaining increasing attention in neurodegenerative diseases. It gives rise to proteotoxic stress as well as a stereotypical oxidative shift which makes these cells sens...
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Article
Efficient scheme to perform semantic segmentation on 3-D brain tumor using 3-D u-net architecture
Glioma is the most common type of brain tumor with varying level of malignancies and projection. Designing personalized therapy and to foresee response towards the therapy needs better understanding of tumor b...
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Article
Open AccessDrosophila expressing mutant human KCNT1 transgenes make an effective tool for targeted drug screening in a whole animal model of KCNT1-epilepsy
Mutations in the KCNT1 potassium channel cause severe forms of epilepsy which are poorly controlled with current treatments. In vitro studies have shown that KCNT1-epilepsy mutations are gain of function, signifi...
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Article
A recognition model for handwritten Persian/Arabic numbers based on optimized deep convolutional neural network
Recently, artificial intelligence-based applications are universally acknowledged. Digit recognition, particularly Persian/Arabic handwritten digits, has many applications in today’s commercial contexts for ex...
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Article
Open AccessA state-of-the-art technique to perform cloud-based semantic segmentation using deep learning 3D U-Net architecture
Glioma is the most aggressive and dangerous primary brain tumor with a survival time of less than 14 months. Segmentation of tumors is a necessary task in the image processing of the gliomas and is important f...
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Article
Open AccessProphylactic potential of honey and Nigella sativa L. against hospital and community-based SARS-CoV-2 spread: a structured summary of a study protocol for a randomised controlled trial
Considering the therapeutic potential of honey and Nigella sativa (HNS) in coronavirus disease 2019 (COVID-19) patients, the objective of the study is defined to evaluate the prophylactic role of HNS.
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Article
Cloud-based efficient scheme for handwritten digit recognition
Handwritten character recognition has been acknowledged and achieved more prominent attention in pattern recognition research community due to enormous applications & vagueness in application methods, while cl...
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Article
Open AccessA systems biology-driven approach to construct a comprehensive protein interaction network of influenza A virus with its host
Influenza A virus (IAV) infection is a serious public health problem not only in South East Asia but also in European and African countries. Scientists are using network biology to dig deep into the essential ...
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Article
Open AccessInferring Virus-Host relationship between HPV and its host Homo sapiens using protein interaction network
Human papilloma virus (HPV) is a serious threat to human life globally with over 100 genotypes including cancer causing high risk HPVs. Study on protein interaction maps of pathogens with their host is a recen...
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Article
Sentiment analysis on IMDB using lexicon and neural networks
To find out what other people think has been an essential part of information-gathering behaviors. And in the case of movies, the movie reviews can provide an intricate insight into the movie and can help deci...
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Chapter and Conference Paper
Facial Recognition on Cloud for Android Based Wearable Devices
Facial recognition applications for Android Based Wearable Devices (ABWD) can benefit from cloud computing as they become easy to acquire and widely available. There are several applications of facial recognit...
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Chapter and Conference Paper
Macrosomia Fetus Prediction with Cluster-Based Feature Selection Scheme
We propose a cluster-based feature selection (CFS) scheme to establish an efficient prognosis process for the identification of a Macrosomia fetus. Macrosomia fetus adheres numerous complications during and af...
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Article
An efficient and improved scheme for handwritten digit recognition based on convolutional neural network
Character recognition from handwritten images has received greater attention in research community of pattern recognition due to vast applications and ambiguity in learning methods. Primarily, two steps includ...
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Chapter and Conference Paper
Cloud Computing: Virtual Web Hosting on Infrastructure as a Service (IaaS)
Cloud computing is an Information Technology (IT) model that provides convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, ...
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Article
Open AccessPhosphoenolpyruvate Carboxykinase Maintains Glycolysis-driven Growth in Drosophila Tumors
Tumors frequently fail to pass on all their chromosomes correctly during cell division, and this chromosomal instability (CIN) causes irregular aneuploidy and oxidative stress in cancer cells. Our objective wa...
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Article
Open AccessThree novel F8 mutations in sporadic haemophilia A cases
