Proceedings of the 2nd International Conference on Computational and Bio Engineering
CBE 2020
Page
%P
-
Article
A novel approach of low complexity distributed UA algorithm is used for traffic load balancing and interference in next generation networks
To meet the expanding requirements for high-speed communication and network clustering, a fresh paradigm of integrated access and backhaul (IAB) that employs millimetre-wave (mmWave) technology is urgently nee...
-
Chapter and Conference Paper
Percentage Nucleotide Concentration and Classification of SARS–Corona Viruses
One of the most advantages that we have today to fight against corona virus which was not available when SARS outbreak in the year 2003 is big data and high-level technologies. China used big data and machine ...
-
Chapter and Conference Paper
A Novel Framework for Modeling Medical-Sensitive Big Data Using Document-Based Database
Modeling big data is the most pervasive in the current evolution of big data which cannot be quantified. This arrests the attention of most of the researchers to discover and invent the relationships among dat...
-
Chapter and Conference Paper
Feature-Based Squids Classification Using Fuzzy Logic
Squid is the most diversified member of marine cephalopod mollusk and it is a highly priced crustacean. The authenticity of species is a big issue for food authorities, while given wrong species labels represe...
-
Chapter and Conference Paper
Coastal Indian Prawn Species Recognition System Through Molecular Identification and Neural Networks
Species delineation is one of the strenuous tasks to be done. In Crustaceans species, which are lookalike in appearance, is very intricate and need much effort for the right species identification. Prawns & Sh...
-
Chapter
Image Encryption Algorithms Using Machine Learning and Deep Learning Techniques—A Survey
In this world, the present situation is coming from text to multimedia content transmission. In multimedia data, images play major role for transmission and it is very important to protect the image data while...
-
Chapter and Conference Paper
Identification of Coronavirus (COVID-19) Long Non-coding RNAs (lncRNAs) Using Machine and Deep Learning Approaches
Long non-coding RNAs (lncRNAs) are the molecules of RNA which are greater than 200 nucleotides. They play a major role in pathological processes and the main role in cellular transcripts. In many viral infecti...
-
Chapter and Conference Paper
A Study on the Sericulture Farm Automation System Using the Internet of Things (IoT)
Sericulture is production of silk from silkworm. Central Silk Board (CSB) reports that India stands second in silk production next to China with 15–85%, respectively. This huge difference in silk production be...
-
Chapter and Conference Paper
Machine Learning Techniques for Identifying Diabetes and Its Complications Based on Long Non-coding RNAs
Earlier long non-coding RNA (lncRNA) in gene transcription was termed as “noises”. But later in the researchers’ development of ENCODE, it was clear that lncRNA can regulate the genomic expression in the syste...
-
Book and Conference Proceedings
-
Chapter and Conference Paper
An Evolutionary Optimization Methodology for Analyzing Breast Cancer Gene Sequences Using MSAPSO and MSADE
An evolutionary methodology using multiple sequence alignment technique with optimal search algorithms particle swarm optimization and differential evaluation is proposed in this paper. Proposed methodology al...
-
Chapter and Conference Paper
Geometric Feature Extraction for Detecting Carcinoma in Three Dimensional MR Images Through Machine Learning Algorithms
Quantitative analysis of Anatomical structures in CT scan and MRI scan images using Artificial Intelligence (AI) techniques requires extraction of physical features, be it geometric or parametric, pertaining t...
-
Chapter and Conference Paper
Big Data Modelling for Predicting Side-Effects of Anticancer Drugs: A Comprehensive Approach
Data Analytics is at the cutting edge of technology in areas where data is evolving widely and rapidly. This involves handling large volume of data, called Big Data with a wide variety of properties. Handling...
-
Chapter and Conference Paper
Classification of Cotton Crop Pests Using Big Data Analytics
Agriculture is the main occupation in Andhra Pradesh (A.P.), the atmosphere and land of A.P. is appropriate for cultivating variety of crops like rice, wheat and cotton. Crop protection is one of the foremost ...
-
Chapter and Conference Paper
A Framework for Modeling and Analysing Big Biological Sequences
Increasing volumes and variety of biological data makes analysis more challenging. Storing those volumes of heterogeneous data is a bigger challenge. Biological Sequence analysis is more important in bioinform...
-
Chapter and Conference Paper
Automated Diagnosis of Shoulder Pain Using Regression Algorithms
Shoulder disorders are related with pain, stiffness, weakness, limited range of motion and infirmity, which in some cases may continue for several years. Shoulder disorder is considered to be one of the import...
-
Chapter and Conference Paper
Noise Reduction Using OBNLM Filter and Deep Learning for Polycystic Ovary Syndrome Ultrasound Images
A hybrid speckle noise reduction method is proposed in this paper, which is a combination of OBNLM and deep CNN filters for better accuracy. Now-a-days polycystic ovary syndrome ultrasonic images be effecting ...
-
Chapter and Conference Paper
Integrated Geospatial Technologies in e-Governance: An Indian Scenario
Geospatial technology yields reliable location intelligence and in turn, location intelligence offers solutions for today’s most pressing problems that are being faced by develo** nations. Efficient public a...
-
Chapter and Conference Paper
Genomics in Big Data Bioinformatics
In today’s world where there is massive growth of genomic data, feature-selection methods are proved to reduce the complexity making analysis for disease detection much easier. There is huge research work carr...
-
Chapter and Conference Paper
Land Site Image Classification Using Machine Learning Algorithms
In contemporary improvements remote sensing and GIS technologies offer great tool for map** and detecting amend in land use/land cover (LULC). LULC is a vital aspect in perceptive the dealings of individual ...
