International Journal of Intelligent Computing and Cybernetics: Volume 15 Issue 3

Measure of nonlinearity for underwater target tracking using hull-mounted sensor

B. Omkar Lakshmi Jagan, S. Koteswara Rao

Doppler-Bearing Tracking (DBT) is commonly used in target tracking applications for the underwater environment using the Hull-Mounted Sensor (HMS). It is an important and…

Intelligent classification of lung malignancies using deep learning techniques

Priyanka Yadlapalli, D. Bhavana, Suryanarayana Gunnam

Computed tomography (CT) scan can provide valuable information in the diagnosis of lung diseases. To detect the location of the cancerous lung nodules, this work uses novel deep…

Intelligent recognition system for viewpoint variations on gait and speech using CNN-CapsNet

G. Merlin Linda, N.V.S. Sree Rathna Lakshmi, N. Senthil Murugan, Rajendra Prasad Mahapatra, V. Muthukumaran, M. Sivaram

The paper aims to introduce an intelligent recognition system for viewpoint variations of gait and speech. It proposes a convolutional neural network-based capsule network…

An optimized Parkinson's disorder identification through evolutionary fast learning network

Bouslah Ayoub, Taleb Nora

Parkinson's disease (PD) is a well-known complex neurodegenerative disease. Typically, its identification is based on motor disorders, while the computer estimation of its main…

The multilabel fault diagnosis model of bearing based on integrated convolutional neural network and gated recurrent unit

Shanling Han, Shoudong Zhang, Yong Li, Long Chen

Intelligent diagnosis of equipment faults can effectively avoid the shutdown caused by equipment faults and improve the safety of the equipment. At present, the diagnosis of…

Integration of fault-tolerant feature to OMIEEPB routing protocol in wireless sensor network

I. Nasurulla, R. Kaniezhil

Whereas a human operator is hard to observe the networking infrastructure and its functions on a continuous basis, wireless sensor network (WSN) nodes must overcome faults and…

SDN-based dynamic resource management and scheduling for cognitive industrial IoT

S. Chandramohan, M. Senthilkumaran

In recent years, it is imperative to establish the structure of manufacturing industry in the context of smart factory. Due to rising demand for exchange of information with…

Ultrasound liver tumor segmentation using adaptively regularized kernel-based fuzzy C means with enhanced level set algorithm

Deepak S. Uplaonkar, Virupakshappa, Nagabhushan Patil

The purpose of this study is to develop a hybrid algorithm for segmenting tumor from ultrasound images of the liver.

An automated deep learning based pancreatic tumor diagnosis and classification model using computed tomography images

Ajanthaa Lakkshmanan, C. Anbu Ananth, S. Tiroumalmouroughane S. Tiroumalmouroughane

The advancements of deep learning (DL) models demonstrate significant performance on accurate pancreatic tumor segmentation and classification.