这本书是对印度哲学的简化形式。它强调了 自我控制、稳定性和无私在生活中的重要 性。同时,它还强调了生活如何围绕思想展 开。思想构成了我们命运的基础。 这不是一本精神或宗教书籍。这本书是年轻人自我发展的指南。它就像一盏灯,指引他们在这个充满困惑的世界中找到方向。
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994 tulosta hakusanalla Geetha Iyer
சமகால நிகழ்வுகளை, உண்மைச் சம்பவங்களை உரிய கதை மாந்தர்களுடன் அழகுணர்வு கெடாமல் படம்பிடித்து காட்டியிருக்கும் இப்புதினம் இன்றைய காலகட்டத்தின் கண்ணாடி. வெறும் நிகழ்வுகளைப் பிரதிபலிக்காமல், வரப்போகும் வரலாற்றையும் படம் பிடித்துக் காட்டுவது இப்புதினத்தின் வெற்றி. - கே. சந்துரு மேனாள் நீதிபதி, சென்னை உயர்நீதிமன்றம்
Essentials of Animal Anatomy and Physiology (Int)
Geetha Jena
Astral International Pvt Ltd
2024
sidottu
Matthu is the debut short story collection by Geetha Mohan-twenty-two tender, unfiltered glimpses into everyday life. These stories do not rely on ornate language or dramatic twists; instead, they unfold with quiet strength, touching on love, longing, friendship, and family in their rawest, most relatable forms. With no grand entrances or elaborate introductions, the characters step straight into the reader's world-familiar, flawed, and deeply human. Each story feels like a moment witnessed from the window next door-so close, so real, and so stirring. Translated with care and emotional fidelity by Seema Pradeep, Matthu retains the heartbeat of its original Malayalam essence. It is not just a book you read-it's a world you find yourself in, again and again.
Deep Learning Concepts and Techniques
Geetha Mary Amalanathan
Lap Lambert Academic Publishing
2024
pokkari
Photovoltaic Panel Integration Using Phase Change Material
Geetha T; Sivaprakash Paramasivam
Lap Lambert Academic Publishing
2025
pokkari
An Enhanced ABR Routing with trust to mitigate Network Attacks. 2nd Ed
Geetha K; Rajan C; Kalaivani S
Lap Lambert Academic Publishing
2025
pokkari
Conceptos y técnicas de aprendizaje profundo
Geetha Mary Amalanathan
Ediciones Nuestro Conocimiento
2024
nidottu
Integration Von Photovoltaik-Paneelen Mit Phasenwechselmaterial
Geetha T; Sivaprakash Paramasivam
Verlag Unser Wissen
2025
pokkari
INTEGRACIÓN DE PANELES FOTOVOLTAICOS CON MATERIAL DE CAMBIO DE FASE
Geetha T.; Sivaprakash Paramasivam
Ediciones Nuestro Conocimiento
2025
nidottu
Intégration de Panneaux Photovoltaïques À l'Aide d'Un Matériau À Changement de Phase
Geetha T; Sivaprakash Paramasivam
Editions Notre Savoir
2025
pokkari
Integrazione Di Pannelli Fotovoltaici Con Materiale a Cambiamento Di Fase
Geetha T; Sivaprakash Paramasivam
Edizioni Sapienza
2025
nidottu
Questo progetto esplora l'integrazione dei materiali a cambiamento di fase (PCM) nei pannelli fotovoltaici (PV) per migliorarne la regolazione termica e le prestazioni complessive. I PCM assorbono e rilasciano calore latente durante le transizioni di fase, contribuendo a mantenere le temperature operative ottimali, riducendo cos le fluttuazioni termiche e migliorando l'efficienza elettrica delle celle solari. La progettazione e la realizzazione di un sistema integrato FV-PCM sono accompagnate da analisi sperimentali, con risultati che dimostrano che l'integrazione dei PCM pu abbassare le temperature dei pannelli fotovoltaici di 10-20 C, portando a un aumento dell'efficienza del 5-15% e a una maggiore durata dei pannelli grazie alla riduzione dello stress da ciclo termico. Sebbene permangano sfide come il degrado dei PCM, la bassa conduttivit termica e la fattibilit economica, le potenziali soluzioni includono l'uso di PCM potenziati con nanoparticelle e sistemi di raffreddamento ibridi. Questa tecnologia offre un percorso promettente verso sistemi di energia solare pi efficienti, affidabili e sostenibili.
Integração de Painéis Fotovoltaicos Utilizando Material de Mudança de Fase
Geetha T; Sivaprakash Paramasivam
Edicoes Nosso Conhecimento
2025
nidottu
Este projeto explora a integra o de materiais de mudan a de fase (PCMs) em pain is fotovoltaicos (PV) para melhorar a sua regula o t rmica e desempenho geral. Os PCMs absorvem e libertam calor latente durante as transi es de fase, ajudando a manter temperaturas de funcionamento ptimas, o que, por sua vez, reduz as flutua es t rmicas e melhora a efici ncia el ctrica das c lulas solares. A conce o e o fabrico de um sistema PV-PCM integrado s o acompanhados por uma an lise experimental, com resultados que mostram que a integra o de PCM pode baixar as temperaturas do painel PV em 10-20 C, levando a um aumento de 5-15% na efici ncia e a um prolongamento da vida til do painel devido redu o do stress do ciclo t rmico. Embora subsistam desafios como a degrada o dos PCM, a baixa condutividade t rmica e a viabilidade econ mica, as potenciais solu es incluem a utiliza o de PCM refor ados com nanopart culas e sistemas de arrefecimento h bridos. Esta tecnologia oferece um caminho promissor para sistemas de energia solar mais eficientes, fi veis e sustent veis.
Integracja Paneli Fotowoltaicznych Z Wykorzystaniem Materialu Zmiennofazowego
Geetha T; Sivaprakash Paramasivam
Wydawnictwo Nasza Wiedza
2025
nidottu
Projekt ten bada integrację material w zmiennofazowych (PCM) z panelami fotowoltaicznymi (PV) w celu poprawy ich regulacji termicznej i og lnej wydajności. PCM pochlaniają i uwalniają cieplo utajone podczas przemian fazowych, pomagając utrzymac optymalną temperaturę pracy, co z kolei zmniejsza wahania termiczne i poprawia wydajnośc elektryczną ogniw slonecznych. Projektowi i produkcji zintegrowanego systemu PV-PCM towarzyszy analiza eksperymentalna, kt rej wyniki pokazują, że integracja PCM może obniżyc temperaturę paneli fotowoltaicznych o 10-20 C, co prowadzi do 5-15% wzrostu wydajności i wydlużenia żywotności paneli dzięki zmniejszonemu naprężeniu termicznemu. Chociaż nadal istnieją wyzwania, takie jak degradacja PCM, niska przewodnośc cieplna i wykonalnośc ekonomiczna, potencjalne rozwiązania obejmują wykorzystanie PCM wzmocnionych nanocząsteczkami i hybrydowych system w chlodzenia. Technologia ta oferuje obiecującą drogę w kierunku bardziej wydajnych, niezawodnych i zr wnoważonych system w energii slonecznej.
Advanced Deep Learning Systems from Theory to Deployment
Geetha C; Ishwarya M V; Saistha N
Lap Lambert Academic Publishing
2026
pokkari
Advanced deep learning systems represent some of the most sophisticated technical achievements of our era, combining theoretical insights from neuroscience and mathematics, practical engineering from distributed computing and systems design, and domain expertise from countless application areas. Building such systems requires combining knowledge across multiple disciplines-understanding not just neural networks but also optimization, distributed systems, software engineering, data management, and domain-specific challenges.The field remains young with tremendous opportunity for innovation and impact. Models that once seemed impossible to train now train routinely. Deployments at scales unimaginable a few years ago now operate reliably. Applications that were pure science fiction now benefit billions of users. Yet enormous challenges remain-building systems that are efficient enough for edge deployment, fair enough to avoid amplifying societal biases, robust enough to handle distribution shifts and adversarial inputs, and interpretable enough to enable understanding and trust.
Systèmes d'Apprentissage Profond Avancés
Geetha C; Ishwarya M V; Saistha N
Editions Notre Savoir
2026
pokkari
