Gopi karnam (22 resultados)

Taschenbuch. Condición: Neu. Neuware -Use of soft computing techniques in disaster prediction and management has interested measures at different levels. Soft computing techniques have given the humans the power and capability to identify events preluded the occurrence of major disasters. Even though it's quit impossible to forecast all natural calamities, it is imperative to identify methods that can forewarn the possible occurrence of an event. Existing algorithms on identifying volcano hotspots are based on ground based measurements which include seismology, ground deformation, hydrology, forest growth and robots. All ground-based measurement algorithms suggest volcano deformation can be used to assess eruptive hazards, but installation and maintenance of instrument network is very complex and costly. Now-a-days, satellite imaging is one of the most important sources of geographical, geophysical and environmental information which provide data with multi temporal, multi spectral, comprehensive coverage of large areas and global coverage in real time. Satellite based observation can also be done at frequent intervals for monitoring the natural disasters with geospatial resolution of a few centimeters. 176 pp. Englisch.…

Condición: New.

Condición: New.

Taschenbuch. Condición: Neu. Identification of volcano hotspots in satellite images | Identification of volcano hotspots in satellite images using soft computing techniques | Karnam Gopi (u. a.) | Taschenbuch | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200503183 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Paperback. Condición: Brand New. 204 pages. 8.66x5.91x0.46 inches. In Stock.

Condición: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Use of soft computing techniques in disaster prediction and management has interested measures at different levels. Soft computing techniques have given the humans the power and capability to identify events preluded the occurrence of major disasters. Even though it¿s quit impossible to forecast all natural calamities, it is imperative to identify methods that can forewarn the possible occurrence of an event. Existing algorithms on identifying volcano hotspots are based on ground based measurements which include seismology, ground deformation, hydrology, forest growth and robots. All ground-based measurement algorithms suggest volcano deformation can be used to assess eruptive hazards, but installation and maintenance of instrument network is very complex and costly. Now-a-days, satellite imaging is one of the most important sources of geographical, geophysical and environmental information which provide data with multi temporal, multi spectral, comprehensive coverage of large areas and global coverage in real time. Satellite based observation can also be done at frequent intervals for monitoring the natural disasters with geospatial resolution of a few centimeters.…

Condición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Use of soft computing techniques in disaster prediction and management has interested measures at different levels. Soft computing techniques have given the humans the power and capability to identify events preluded the occurrence of major disasters. Even though it¿s quit impossible to forecast all natural calamities, it is imperative to identify methods that can forewarn the possible occurrence of an event. Existing algorithms on identifying volcano hotspots are based on ground based measurements which include seismology, ground deformation, hydrology, forest growth and robots. All ground-based measurement algorithms suggest volcano deformation can be used to assess eruptive hazards, but installation and maintenance of instrument network is very complex and costly. Now-a-days, satellite imaging is one of the most important sources of geographical, geophysical and environmental information which provide data with multi temporal, multi spectral, comprehensive coverage of large areas and global coverage in real time. Satellite based observation can also be done at frequent intervals for monitoring the natural disasters with geospatial resolution of a few centimeters.…

paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Application of technology for mitigating suffering due to natural disasters has always been fore front of researchers. Use of soft computing techniques in disaster prediction and management has interested measures at different levels. Soft computing techniques have given the humans the power and capability to identify events preluded the occurrence of major disasters. Even though it¿s quit impossible to forecast all natural calamities, it is imperative to identify methods that can fore warn the possible occurrence of an event.Soft computing techniques have extensively used by researchers to provide these fore warning capabilities.Multi spectral satellite data have been employed for image processing and analysis. Suitable modification and improvements has been suggested for existing techniques like KNN, SVM, ANN to increase the prediction performance and accuracy. As a part of this an ANFIS based system classifier has also been developed and tested for its performance. 188 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The well being of any country or society depends upon the healthy state of its population. One typical health issue faced by the developed, developing and underdeveloped societies is malignancy. The important challenge in image processing is the presence of noise during the image capture process which may result either under segmentation or over segmentation .Image segmentation is considered as the most vital and preliminary process in image analysis for Computer Aided Diagnosis. Segmentation of an image is the separation or division of the image in to different regions of similar feature. In brain MRI analysis, image segmentation is used for segmenting the brain tumor for the measurement of tumor area and for surgical planning. In medical image segmentation if any segmentation fails to detect the Region of Interest precisely, it leads to misclassification which will have serious affect on human beings. The work focuses on these challenges and has implemented effective methods for pre-processing and segmentation for processing MRI images. The exploratory results illuminate the effectiveness in dealing with higher number of segmentation issues by means of enhancing the segmentation quality and precision. The performance measures probability random index (PRI), global consistency error (GCE), structural similarity (SSIM), variation of information (VOI), Peak signal to noise ratio(PSNR) integrated in GUI-CAD is explained. 204 pp. Englisch.…

Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gopi KarnamDr. S. Muni Rathnam obtained his Bachelor s degree in Electronics and Communication Engineering (ECE) from JNTU Hyderabad, India. Then he obtained his Master s degree in Electronics Design &Technology from NIT Calicut, Ind.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gopi KarnamDr.Karnam GOPI recevied his Masters degree in Applied Electronics in the year 2007 and Ph.D degree in Electronics and communication from S.V.University, Tirupati in 2018 respectively. He is working as Associate Professor i.…

Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gopi KarnamDr. S. Muni Rathnam working as HOD of Electronics and Communication at Vemu InstituteTechnolog, Chittoor(D), Andhra Pradesh, India. He obtained his Bachelor s degree in Electronics andCommunication Engineering (ECE) from J.…

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Taschenbuch. Condición: Neu. Volcano Hotspots Identification using Computing techniques | Identification of VolcanoHotspots in Satellite Images Using Soft Computing Techniques | Karnam Gopi (u. a.) | Taschenbuch | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200487728 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.…

Taschenbuch. Condición: Neu. Segmentation Using Hybrid Clustering Algorithms | Hybrid Clustering Algorithms to Detect Brain Tumor From MRI Images | Karnam Gopi (u. a.) | Taschenbuch | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200479877 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.…

Condición: New. PRINT ON DEMAND.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The well being of any country or society depends upon the healthy state of its population. One typical health issue faced by the developed, developing and underdeveloped societies is malignancy. The important challenge in image processing is the presence of noise during the image capture process which may result either under segmentation or over segmentation .Image segmentation is considered as the most vital and preliminary process in image analysis for Computer Aided Diagnosis. Segmentation of an image is the separation or division of the image in to different regions of similar feature. In brain MRI analysis, image segmentation is used for segmenting the brain tumor for the measurement of tumor area and for surgical planning. In medical image segmentation if any segmentation fails to detect the Region of Interest precisely, it leads to misclassification which will have serious affect on human beings. The work focuses on these challenges and has implemented effective methods for pre-processing and segmentation for processing MRI images. The exploratory results illuminate the effectiveness in dealing with higher number of segmentation issues by means of enhancing the segmentation quality and precision. The performance measures probability random index (PRI), global consistency error (GCE), structural similarity (SSIM), variation of information (VOI), Peak signal to noise ratio(PSNR) integrated in GUI-CAD is explained.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 204 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Application of technology for mitigating suffering due to natural disasters has always been fore front of researchers. Use of soft computing techniques in disaster prediction and management has interested measures at different levels. Soft computing techniques have given the humans the power and capability to identify events preluded the occurrence of major disasters. Even though it's quit impossible to forecast all natural calamities, it is imperative to identify methods that can fore warn the possible occurrence of an event.Soft computing techniques have extensively used by researchers to provide these fore warning capabilities.Multi spectral satellite data have been employed for image processing and analysis. Suitable modification and improvements has been suggested for existing techniques like KNN, SVM, ANN to increase the prediction performance and accuracy. As a part of this an ANFIS based system classifier has also been developed and tested for its performance.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 188 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Use of soft computing techniques in disaster prediction and management has interested measures at different levels. Soft computing techniques have given the humans the power and capability to identify events preluded the occurrence of major disasters. Even though it's quit impossible to forecast all natural calamities, it is imperative to identify methods that can forewarn the possible occurrence of an event. Existing algorithms on identifying volcano hotspots are based on ground based measurements which include seismology, ground deformation, hydrology, forest growth and robots. All ground-based measurement algorithms suggest volcano deformation can be used to assess eruptive hazards, but installation and maintenance of instrument network is very complex and costly. Now-a-days, satellite imaging is one of the most important sources of geographical, geophysical and environmental information which provide data with multi temporal, multi spectral, comprehensive coverage of large areas and global coverage in real time. Satellite based observation can also be done at frequent intervals for monitoring the natural disasters with geospatial resolution of a few centimeters.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 176 pp. Englisch.…

Condición: New. PRINT ON DEMAND.