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  <title>NOPR Community:</title>
  <link rel="alternate" href="http://nopr.niscpr.res.in/handle/123456789/3" />
  <subtitle />
  <id>http://nopr.niscpr.res.in/handle/123456789/3</id>
  <updated>2026-05-20T09:43:58Z</updated>
  <dc:date>2026-05-20T09:43:58Z</dc:date>
  <entry>
    <title>Nonlinear structural assessment of self-installing platforms in the Indian Ocean for  offshore wind turbines using push-over analysis</title>
    <link rel="alternate" href="http://nopr.niscpr.res.in/handle/123456789/67498" />
    <author>
      <name>Andavar, P</name>
    </author>
    <author>
      <name>Meiaraj, C</name>
    </author>
    <author>
      <name>Premalatha, J</name>
    </author>
    <id>http://nopr.niscpr.res.in/handle/123456789/67498</id>
    <updated>2026-03-20T11:15:41Z</updated>
    <published>2024-12-01T00:00:00Z</published>
    <summary type="text">Title: Nonlinear structural assessment of self-installing platforms in the Indian Ocean for  offshore wind turbines using push-over analysis
Authors: Andavar, P; Meiaraj, C; Premalatha, J
Abstract: The Indian offshore wind energy industry is gaining momentum, driven by strong coastal wind resources and national &#xD;
efforts toward clean energy, economic development, and climate change mitigation. However, the installation of wind &#xD;
turbines in deep-water regions poses significant technical and economic challenges. This study explores the development &#xD;
and assessment of a novel Self-Installing Platform (SIP) tailored for a 10 MW offshore wind turbine at a depth of 75 meters. &#xD;
The SIP aims to overcome current installation limitations by eliminating the need for heavy-lift vessels, thereby reducing &#xD;
cost, increasing efficiency, and enhancing deployment flexibility. A coupled numerical modelling approach is employed, &#xD;
integrating structural analysis using SACS software and geotechnical evaluation through PLAXIS 3D, including the &#xD;
modelling of a suction bucket foundation. The platform’s performance is analysed under a range of environmental &#xD;
conditions, including extreme wave and wind loads, over a design life of 100 years. Nonlinear static pushover analysis is &#xD;
conducted to determine the maximum load capacity and assess system resilience. Results demonstrate that the SIP meets &#xD;
structural safety requirements, with Reserve Strength Ratios (RSRs) exceeding 2.5 in all directions, and maintains &#xD;
acceptable displacement levels under critical load cases. Additionally, the study identifies the most vulnerable structural &#xD;
sections under extreme E180° loading, enabling targeted design improvements. Overall, the SIP exhibits robust structural &#xD;
and geotechnical performance, proving to be a viable, cost-effective solution for deep-water offshore wind turbine &#xD;
installations. This research contributes valuable insights into the behaviour of self-installing platforms in harsh marine &#xD;
environments and supports the advancement of sustainable offshore wind energy infrastructure installation, especially in &#xD;
challenging deep-water environments.
Page(s): 747-763</summary>
    <dc:date>2024-12-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>CORAL–Classification of Reefs and Analysis using Learning algorithms of   image processing</title>
    <link rel="alternate" href="http://nopr.niscpr.res.in/handle/123456789/67497" />
    <author>
      <name>Bhagat, J</name>
    </author>
    <author>
      <name>Tandel, M</name>
    </author>
    <author>
      <name>Saha, G</name>
    </author>
    <id>http://nopr.niscpr.res.in/handle/123456789/67497</id>
    <updated>2026-03-20T11:00:24Z</updated>
    <published>2024-11-01T00:00:00Z</published>
    <summary type="text">Title: CORAL–Classification of Reefs and Analysis using Learning algorithms of   image processing
Authors: Bhagat, J; Tandel, M; Saha, G
Abstract: Coral bleaching, driven primarily by rising sea temperatures, poses a severe threat to coral reefs and the millions who &#xD;
depend on these resources. This study investigates the potential of deep learning for automated bleaching detection, a crucial &#xD;
step towards effective monitoring and conservation. Study evaluated five classification algorithms, each paired with three &#xD;
feature extractors, using a publicly available dataset of 1150 coral images. The findings demonstrate the superior &#xD;
performance of the DenseNet-Logistic Regression model, achieving the highest average accuracy (83 %), F1-score (0.84), &#xD;
and precision (0.85), highlighting its effectiveness in capturing subtle bleaching indicators. While this research underscores &#xD;
the promising outcomes of deep learning for this critical task, further investigation with larger, more diverse datasets is &#xD;
warranted to develop highly accurate and generalisable models for safeguarding these vital ecosystems.
Page(s): 764-775</summary>
    <dc:date>2024-11-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>A report of the Four-lined tonguesole, Cynoglossus quadrilineatus (Bleeker, 1851)  and Lachner's tonguesole, Cynoglossus lachneri Menon, 1977 from the   Andaman and Nicobar Islands, India</title>
    <link rel="alternate" href="http://nopr.niscpr.res.in/handle/123456789/67496" />
    <author>
      <name>Ummath, A</name>
    </author>
    <author>
      <name>Kalita, S</name>
    </author>
    <author>
      <name>S Fahmeeda Parveen, P</name>
    </author>
    <author>
      <name>Kashyap, K</name>
    </author>
    <author>
      <name>V Mohammed Ramees, P</name>
    </author>
    <author>
      <name>Venu, S</name>
    </author>
    <id>http://nopr.niscpr.res.in/handle/123456789/67496</id>
    <updated>2026-03-20T10:56:11Z</updated>
    <published>2024-12-01T00:00:00Z</published>
    <summary type="text">Title: A report of the Four-lined tonguesole, Cynoglossus quadrilineatus (Bleeker, 1851)  and Lachner's tonguesole, Cynoglossus lachneri Menon, 1977 from the   Andaman and Nicobar Islands, India
Authors: Ummath, A; Kalita, S; S Fahmeeda Parveen, P; Kashyap, K; V Mohammed Ramees, P; Venu, S
Abstract: This study reports the occurrence of Cynoglossus quadrilineatus (Four-lined tonguesole) and Cynoglossus lachneri &#xD;
(Lachner's tonguesole) from the Andaman and Nicobar Islands, India, extending their known distribution range. Notably,  &#xD;
C. lachneri is recorded from the Andaman Sea for the first time. Three specimens of C. quadrilineatus and one specimen of &#xD;
C. lachneri were collected from the vicinity of the South Andaman Islands. Cynoglossus quadrilineatus is characterised by &#xD;
12 caudal fin rays and two lateral lines on each side of the body, while C. lachneri is identified by 10 caudal fin rays, two &#xD;
lateral lines, and 15 interlinear scales. Species identification was further validated through partial cytochrome coxidase I &#xD;
(COI) gene sequencing. The genetic distance analysis using the Kimura-2-parameter model revealed no overlap among &#xD;
closely related species within the family Cynoglossidae. This study also provides the first COI gene sequence for  &#xD;
C. lachneri, contributing to the assessment of phylogenetic diversity in future research.
Page(s): . 776-784</summary>
    <dc:date>2024-12-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>A mega-toothed shark, Otodus megalodon (Agassiz, 1835) from the Middle  Miocene Bhuban Formation of Mizoram, India</title>
    <link rel="alternate" href="http://nopr.niscpr.res.in/handle/123456789/67495" />
    <author>
      <name>Fanai, L</name>
    </author>
    <author>
      <name>M Sharma, K</name>
    </author>
    <author>
      <name>P Tiwari, R</name>
    </author>
    <author>
      <name>Patnaik, R</name>
    </author>
    <author>
      <name>A Singh, N</name>
    </author>
    <author>
      <name>Lalrammuana, A</name>
    </author>
    <author>
      <name>Lalnuntluanga, P</name>
    </author>
    <author>
      <name>Lalnunmawia, J</name>
    </author>
    <id>http://nopr.niscpr.res.in/handle/123456789/67495</id>
    <updated>2026-03-20T10:45:53Z</updated>
    <published>2024-12-01T00:00:00Z</published>
    <summary type="text">Title: A mega-toothed shark, Otodus megalodon (Agassiz, 1835) from the Middle  Miocene Bhuban Formation of Mizoram, India
Authors: Fanai, L; M Sharma, K; P Tiwari, R; Patnaik, R; A Singh, N; Lalrammuana, A; Lalnuntluanga, P; Lalnunmawia, J
Abstract: The Bhuban Formation of Mizoram is known for its fossil assemblages of invertebrates, foraminiferans, sharks and &#xD;
batoids. Recent fieldwork at Tuithum Quarry of the Bhuban Formation, Mizoram, yielded an isolated tooth of Otodus &#xD;
megalodon (Agassiz, 1835), the largest fish that ever lived on earth. The present record of O. megalodon is not only the &#xD;
first-time report from the Miocene of Mizoram but also from the entire Northeast India. The O. megalodon was a &#xD;
cosmopolitan giant predator, known to inhabit tropical, subtropical, and temperate seas during the early Miocene to early &#xD;
Pliocene epochs. Based on regression analyses, the tooth belonging to this individual specimen is estimated to indicate a &#xD;
total body length of approximately 7.81 meters, suggesting that it was likely a juvenile. The present finding of O. megalodon &#xD;
and the earlier record of the elasmobranch fauna and associated invertebrates indicate that a warm, shallow marine &#xD;
(nearshore), high-energy environment prevailed during the deposition of the upper Bhuban Formation.
Page(s): 785-795</summary>
    <dc:date>2024-12-01T00:00:00Z</dc:date>
  </entry>
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