Institution
Government Engineering College, Sreekrishnapuram
About: Government Engineering College, Sreekrishnapuram is a based out in . It is known for research contribution in the topics: Ultimate tensile strength & Solar still. The organization has 2107 authors who have published 2619 publications receiving 21201 citations.
Papers published on a yearly basis
Papers
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TL;DR: The superiority of the GA-clustering algorithm over the commonly used K-means algorithm is extensively demonstrated for four artificial and three real-life data sets.
1,337 citations
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TL;DR: In this paper, the authors proposed a framework to evaluate sustainable supplier selection by using an integrated analytical hierarchy process (AHP), ViseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), a multi-criteria optimization and compromise solution approach.
610 citations
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TL;DR: This review discusses various feature extraction methods and the results of different automated epilepsy stage detection techniques in detail, and briefly presents the various open ended challenges that need to be addressed before a CAD based epilepsy detection system can be set-up in a clinical setting.
Abstract: Epilepsy is an electrophysiological disorder of the brain, characterized by recurrent seizures. Electroencephalogram (EEG) is a test that measures and records the electrical activity of the brain, and is widely used in the detection and analysis of epileptic seizures. However, it is often difficult to identify subtle but critical changes in the EEG waveform by visual inspection, thus opening up a vast research area for biomedical engineers to develop and implement several intelligent algorithms for the identification of such subtle changes. Moreover, the EEG signals are nonlinear and non-stationary in nature, which contribute to further complexities related to their manual interpretation and detection of normal and abnormal (interictal and ictal) activities. Hence, it is necessary to develop a Computer Aided Diagnostic (CAD) system to automatically identify the normal and abnormal activities using minimum number of highly discriminating features in classifiers. It has been found that nonlinear features are able to capture the complex physiological phenomena such as abrupt transitions and chaotic behavior in the EEG signals. In this review, we discuss various feature extraction methods and the results of different automated epilepsy stage detection techniques in detail. We also briefly present the various open ended challenges that need to be addressed before a CAD based epilepsy detection system can be set-up in a clinical setting.
601 citations
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TL;DR: In this paper, the authors identify key challenges to Industry 4.0 initiatives and analyze the identified key challenges in order to prioritize them for effective Industry4.0 concepts for supply chain sustainability in emerging economies.
503 citations
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01 Jun 2019
TL;DR: In this article, a survey of the work of many researchers to get a brief overview about the current implementation of automation in agriculture is presented and a proposed system which can be implemented in botanical farm for flower and leaf identification and watering using IOT.
Abstract: Agriculture automation is the main concern and emerging subject for every country. The world population is increasing at a very fast rate and with increase in population the need for food increases briskly. Traditional methods used by farmers aren't sufficient enough to serve the increasing demand and so they have to hamper the soil by using harmful pesticides in an intensified manner. This affects the agricultural practice a lot and in the end the land remains barren with no fertility. This paper talks about different automation practices like IOT, Wireless Communications, Machine learning and Artificial Intelligence, Deep learning. There are some areas which are causing the problems to agriculture field like crop diseases, lack of storage management, pesticide control, weed management, lack of irrigation and water management and all this problems can be solved by above mentioned different techniques. Today, there is an urgent need to decipher the issues like use of harmful pesticides, controlled irrigation, control on pollution and effects of environment in agricultural practice. Automation of farming practices has proved to increase the gain from the soil and also has strengthened the soil fertility. This paper surveys the work of many researchers to get a brief overview about the current implementation of automation in agriculture. The paper also discusses a proposed system which can be implemented in botanical farm for flower and leaf identification and watering using IOT.
428 citations
Authors
Showing all 2107 results
Name | H-index | Papers | Citations |
---|---|---|---|
Rajesh Gopakumar | 52 | 126 | 10811 |
Ujjwal Maulik | 46 | 361 | 11711 |
Devendra Kumar | 45 | 282 | 6232 |
Sunil Luthra | 45 | 162 | 6485 |
Narinder Singh | 45 | 452 | 9028 |
Jyant Kumar | 36 | 171 | 3642 |
Provas Kumar Roy | 36 | 176 | 4123 |
Hitesh Panchal | 34 | 152 | 3161 |
Prasenjit Dey | 24 | 168 | 3593 |
Ashutosh Giri | 24 | 97 | 1601 |
Harish Sharma | 24 | 139 | 1963 |
Yuwaraj M. Ghugal | 23 | 79 | 2010 |
Dinesh Bhatia | 23 | 216 | 2160 |
Manish Mishra | 22 | 56 | 1275 |
Atteshamuddin S. Sayyad | 19 | 82 | 1457 |