Tripathi Paritosh (12 results)

Evaluating Role of DNA and Kamla Approach in Metamorphic Cryptography
Singh, Dr. Vineet Kumar; Degadwala, Dr. Sheshang; Tripathi, Paritosh
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- Softcover
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- Softcover
Seller: moluna, Greven, Germanymoluna
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Evaluating Role of DNA and Kamla Approach in Metamorphic Cryptography
Singh, Dr. Vineet Kumar; Degadwala, Dr. Sheshang; Tripathi, Paritosh
- Softcover
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Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Evaluating Role of DNA and Kamla Approach in Metamorphic Cryptography
Dr. Vineet Kumar Singh|Dr. Sheshang Degadwala|Paritosh Tripathi
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Seller: moluna, Greven, Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Singh Dr. Vineet KumarDr. Vineet Kumar Singh awarded PhD in Computer Science Engineering from Mahrshi University of Information Technology, Lucknow, Mtech from AIET Gautam Budh Technical University, Lucknow, Btech from Institute of.…

Evaluating Role of DNA and Kamla Approach in Metamorphic Cryptography
Singh, Dr. Vineet Kumar; Degadwala, Dr. Sheshang; Tripathi, Paritosh
- Softcover
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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A Bayesian Machine Learning Approach for Smart City
Malviya, Ravi Prakash|Tripathi, Paritosh|Degadwala, Sheshang
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Smart cities are one of the most active research fields in the world, due to the various benefits and challenges associated with their implementation. A major challenge for smart cities is processing and transporting the huge volumes of data generated by th.…

Published by Sciencia Scripts
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Umnye goroda - odna iz samyh aktiwnyh oblastej issledowanij w mire, blagodarq razlichnym preimuschestwam i problemam, swqzannym s ih realizaciej. Osnownoj problemoj dlq umnyh gorodow qwlqetsq obrabotka i transportirowka ogromnyh ob#emow dannyh, generiruemyh na urowne sensornoj seti, kotoraq sozdaet fundamental'nyj fizicheskij urowen'. Neobhodimy postoqnnye issledowaniq dlq resheniq wychislitel'nyh zadach, woznikaüschih w uslowiqh 'umnogo goroda', w chastnosti, dlq obespecheniq äffektiwnoj raboty sensornogo urownq. Dlq resheniq ätoj zadachi predlagaetsq nowyj karkas fizicheskogo urownq, kotoryj intellektual'no obuchaetsq powedeniü fizicheskoj sistemy, chtoby pozwolit' agentam äffektiwno uprawlqt' datchikami i dostigat' zadannyh celej datchika(ow) i okruzhaüschej sredy. Krome togo, predlagaetsq nowyj algoritm polusuperwizirowannogo bajesowskogo mashinnogo obucheniq dlq obucheniq i prognozirowaniq powedeniq datchikow s cel'ü äffektiwnogo uprawleniq änergopotrebleniem w domah. Nowaq model' i algoritm byli ispol'zowany w razlichnyh simulqciqh, rezul'taty kotoryh prodemonstrirowali ih äffektiwnost' w uprawlenii änergopotrebleniem w razlichnyh uslowiqh doma i umnogo goroda.…

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Malviya Ravi PrakashRavi Prakash Malviya arbeitet als Programmierer an der Dr. Rammanohar Lohia Avadh University, Ayodhya, Uttar Pradesh, Indien. Er erwarb 2002 den M.C.A.-Abschluss an der Visvesvaraya Technological University, Belag.…

- Softcover
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Le città intelligenti sono uno dei campi di ricerca più attivi al mondo, a causa dei vari vantaggi e delle sfide associate alla loro implementazione. Una sfida importante per le città intelligenti è l'elaborazione e il trasporto degli enormi volumi di dati generati dal livello della rete di sensori, che costituisce il livello fisico fondamentale. La ricerca continua è necessaria per affrontare le sfide computazionali che si presentano negli ambienti delle smart city, in particolare per contribuire a garantire operazioni efficienti intorno al livello dei sensori. Per affrontare questa sfida, viene proposta una nuova struttura del livello fisico che apprende in modo intelligente il comportamento del sistema fisico per consentire agli agenti di controllare efficacemente i sensori e raggiungere gli obiettivi predefiniti dei sensori e dell'ambiente. Inoltre, è stato proposto un nuovo algoritmo di apprendimento bayesiano semi-supervisionato per apprendere e prevedere il comportamento dei sensori e gestire in modo efficiente il consumo di energia nelle case. Il nuovo modello e l'algoritmo sono stati utilizzati in diverse simulazioni, i cui risultati hanno dimostrato la loro efficacia nella gestione dei consumi energetici in diversi ambienti domestici e di smart city.…