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Article
BC-Net: Early Diagnostics of Breast Cancer Using Nested Ensemble Technique of Machine Learning
Breast cancer is a divergent and prominent cancer that is responsible for the morbidity and mortality of women throughout the world. This paper aims at early detection and accurate diagnosis of this fatal dise...
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Article
A Comprehensive Investigation of Risk Association Between the -786 T > C, + 884 G > A, VNTR, rs743506, rs3918226 of eNOS and Susceptibility of Migraine: A Updated Meta-Analysis Utilizing Trial Sequential Analysis
With a feature of complex pathogenic mechanisms, migraine is a well-known common neurovascular disorder. Multiple genes are responsible for hindering the susceptibility of pain threshold one of which is the eNOS ...
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Article
Open AccessSolar neighborhoods: the impact of urban layout on a large-scale solar strategies application
The article addresses the challenges of evaluating energy performance in different neighborhood settings under various energy efficiency measures and proposes a methodology for selecting appropriate solar stra...
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Article
Meta-Health: Learning-to-Learn (Meta-learning) as a Next Generation of Deep Learning Exploring Healthcare Challenges and Solutions for Rare Disorders: A Systematic Analysis
In clinical scenarios, the two subfields of Artificial Intelligence (AI), i.e., Machine Learning (ML) and Deep Learning (DL) methods have become the de facto standard in several domains of education, agricultu...
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Article
Open AccessDeep learning supported machine vision system to precisely automate the wild blueberry harvester header
An operator of a wild blueberry harvester faces the fatigue of manually adjusting the height of the harvester’s head, considering spatial variations in plant height, fruit zone, and field topography affecting ...
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Article
Black fungus immunosuppressive epidemic with Covid-19 associated mucormycosis (zygomycosis): a clinical and diagnostic perspective from India
The catastrophic phase of Covid-19 turns the table over with the spread of its disastrous transmission network throughout the world. Covid-19 associated with mucormycosis fungal infection accompanied by opport...
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Article
NestEn_SmVn: boosted nested ensemble multiplexing to diagnose coronary artery disease
Coronary artery disease (CAD) is the most prominent disease that is responsible for increasing mortality and morbidity rate from past few decades. Early and accurate detection of CAD (a type of cardiovascular ...
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Article
CoBiD-net: a tailored deep learning ensemble model for time series forecasting of covid-19
The pandemic of novel coronavirus disease 2019 (Covid-19) has left the world to a standstill by creating a calamitous situation. To mitigate this devastating effect the inception of artificial intelligence int...
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Chapter and Conference Paper
Using Recursive Feature Elimination and Fisher Score with Convolutional Neural Network for Identifying Port Scan Attempts
Port scanning is a frequently used service in the internet with its usage done by both network defenders as well as attackers. Detecting Port scan attempts is of vital importance to prevent attackers from gain...
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Chapter and Conference Paper
Deep Learning Approach Based on ADASYN for Detection of Web Attacks in the CICIDS2017 Dataset
The increased usage of web-based applications, vast number of web users, and emphasis on data storage on the web have been both productive and constructive but it also exposes vulnerabilities in the system. Th...
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Article
CheXImageNet: a novel architecture for accurate classification of Covid-19 with chest x-ray digital images using deep convolutional neural networks
Many countries around the world have been influenced by Covid-19 which is a serious virus as it gets transmitted by human communication. Although, its syndrome is quite similar to the ordinary flu. The critica...
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Article
Deep-LSTM ensemble framework to forecast Covid-19: an insight to the global pandemic
The pandemic of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is spreading all over the world. Medical health care systems are in urgent need to diagnose this pandemic with the support of new em...
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Article
GBoost: A novel Grading-AdaBoost ensemble approach for automatic identification of erythemato-squamous disease
Ensemble learning is one of the powerful machine learning approaches that is generally used to strengthen models by combining the performances of several weak learners. It holds a great potential for solving u...
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Article
A nested stacking ensemble model for predicting districts with high and low maternal mortality ratio (MMR) in India
The ensemble is an efficacious machine learning framework that combines variety of algorithms for better performance and effective prediction. Over the past few years, numerous researchers proposed wide variet...
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Article
Estimation of critical dimensions for a trapezoidal-shaped steel fin using hybrid differential evolution algorithm
This paper deals with the inverse prediction of parameters in a trapezoidal fin with temperature-dependent thermal conductivity and heat transfer coefficient. Three critical dimensions along with the relevant ...
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Article
Generalized inverse analysis for fins of different profiles with all temperature-dependent parameters
An inverse analysis is done to predict unknown and optimal dimensions of a fin satisfying either a given temperature or maximizing heat transfer rate. The profile simulating many geometries involves all temper...
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Chapter and Conference Paper
Hash Based Incremental Optimistic Concurrency Control Algorithm in Distributed Databases
In this paper, we present a methodology that represents an excellent blossom in the concurrency control environment. It deals with anomalies and assures the reliability of the data before read-write transactio...
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Article
The Role of Tight Junctions in Mammary Gland Function
Tight junctions (TJ) are cellular structures that facilitate cell-cell communication and are important in maintaining the three-dimensional structure of epithelia. It is only during the last two decades that t...
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Article
Non-collective states in 122Te
Medium-spin states in 122Te have been populated using the reaction 116Cd (11B, p4n)122Te at a beam energy of 65MeV and \( \gamma\) ...
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Article
Epigenetic Regulation of Milk Production in Dairy Cows
It is well established that milk production of the dairy cow is a function of mammary epithelial cell (MEC) number and activity and that these factors can be influenced by diverse environmental influences and ...
