World Journal of Engineering: Volume 19 Issue 2

Guest editorial

Gaurav Dhiman

COVID-19 prediction through X-ray images using various layers in convolutional neural network

Jyoti Mishra, Mahendra Tiwari, Bhavna Bajpai, Swati Atre, Amandeep Kaur

The purpose of this paper is to focus on the prediction of Coronavirus 2019 (COVID-19) using X-ray image.

Hybrid artificial bee colony and glow worm algorithm for energy efficient cluster head selection in wireless sensor networks

Jasleen Kaur, Punam Rani, Brahm Prakash Dahiya

This paper aim to find optimal cluster head and minimize energy wastage in WSNs. Wireless sensor networks (WSNs) have low power sensor nodes that quickly lose energy. Energy…

Empirical path loss models at 433 MHz in Himalayan snow for health monitoring

Rajesh Kumar Garg, Surender Kumar Soni

The purpose of this paper is to investigate the effect of snow on the radio link performance of wireless sensor nodes in Indian Himalayan conditions and to propose empirical path…

An intrusion detection system for health-care system using machine and deep learning

Sagar Pande, Aditya Khamparia, Deepak Gupta

One of the important key components of health care–based system is a reliable intrusion detection system. Traditional techniques are not adequate to handle complex data. Also, the…

Diagnosis of COVID-19 through blood sample using ensemble genetic algorithms and machine learning classifier

Rumi Iqbal Doewes, Rajit Nair, Tripti Sharma

This purpose of this study is to perfrom the analysis of COVID-19 with the help of blood samples. The blood samples used in the study consist of more than 100 features. So to…

COVID-19 image transmission using convolutional neural networks based algorithms for medical applications

Gangadhar Ch, Nama Ajay Nagendra, Syed Mutahar Aaqib, C.M. Sulaikha, Shaheena Kv, Karanam Santoshachandra Rao

COVID-19 would have a far-reaching impact on the international health-care industry and the patients. For COVID-19, there is a need for unique screening tests to reliably and…

Diagnosis of COVID-19 using 3D CT scans and vaccination for COVID-19

Gangadhar Ch, S. Jana, Sankararao Majji, Prathyusha Kuncha, Fantin Irudaya Raj E., Arun Tigadi

For the first time in a decade, a new form of pneumonia virus, coronavirus, COVID-19, appeared in Wuhan, China. To date, it has affected millions of people, killed thousands and…

Multi-criteria analysis of social isolation barriers amid COVID-19 using fuzzy AHP

Hemant Kumar Upadhyay, Sapna Juneja, Sunil Maggu, Grima Dhingra, Abhinav Juneja

The purpose of current analytical work is to identify the critical barriers in social isolation in India amid Coronavirus infection disease (COVID) outbreak using the…

Early flood detection and rescue using bioinformatic devices, internet of things (IOT) and Android application

Rijwan Khan, Mohammad Shabaz, Sarfaraj Hussain, Faraz Ahmad, Pranav Mishra

The impact of natural disasters on human life, the environment and the flora and fauna can be contained to large extent by intelligent human intervention. This study introduces…

Machine learning improvements to compressive sensing for speech enhancement in hearing aid applications

Hrishikesh B Vanjari, Mahesh T Kolte

Speech is the primary means of communication for humans. A proper functioning auditory system is needed for accurate cognition of speech. Compressed sensing (CS) is a method for…

Automatic epileptic seizure detection using LSTM networks

Kishori Sudhir Shekokar, Shweta Dour

The purpose of this work is to make a computer aided detection system for epileptic seizures. Epilepsy is a neurological disorder characterized as the recurrence of two or more…

Formation of the counter intelligence strategy of Ukraine: national and legal dimension

Oleksandr D. Dovhan, Oleksandr M. Yurchenko, Juliana O. Naidon, Oleg S. Peliukh, Nataliia I. Tkachuk, Kamal Gulati

The purpose of this study is to develop the Counterintelligence Strategy as a conceptual document in the field of state security of Ukraine, identifying current security threats…

Role of machine learning in changing social and business eco-system – a qualitative study to explore the factors contributing to competitive advantage during COVID pandemic

Hishan S. Sanil, Deepmala Singh, K. Bhavana Raj, Somya Choubey, Narinder Kumar Kumar Bhasin, Ranjeeta Yadav, Kamal Gulati

“Machine learning (ML)” in business aids in increasing company scalability and boosting company operations for businesses all over the world. “Artificial intelligence (AI)”…

The rise of 3D E-Commerce: the online shopping gets real with virtual reality and augmented reality during COVID-19

Satish Rupraoji Billewar, Karuna Jadhav, V.P. Sriram, Dr. A. Arun, Sikandar Mohd Abdul, Kamal Gulati, Dr Narinder Kumar Kumar Bhasin

The COVID-19 virus outbreak began in December 2019 and rapidly spread to every continent on Earth. The analysts have predicted that COVID-19 and other similar pandemics will…

Integrating hyperreal literature with CALL in English language curriculum for engineering studies in India: an empirical study of the impact on students’ learning

Ajeesh A.K., Rukmini S.

Scholarship on language teacher knowledge and critical digital literacy. Using a grounded theory approach, semi-structured online presentations of students, classroom observations…