Rudrapati Ramesh (42 results)

Condition: New.

Condition: New.

Condition: New.

Condition: New.

Condition: New.

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. REAL-TIME INTELLIGENT TURRET TRACKING SYSTEM USING LIGHTWEIGHT CNNs | Design & simulation of a real-time AI-enabled turret tracking system using lightweight deep learning for defense systems | Ramesh Rudrapati (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209514272 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Condition: New.

Taschenbuch. Condition: Neu. SYSTÈME INTELLIGENT DE POURSUITE DE TOURELLE EN TEMPS RÉEL UTILISANT DES CNN LÉGERS | Ramesh Rudrapati (u. a.) | Taschenbuch | Französisch | 2026 | Editions Notre Savoir | EAN 9786209503658 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Condition: New.

Taschenbuch. Condition: Neu. SISTEMA INTELLIGENTE DI TRACCIAMENTO DELLA TORRETTA IN TEMPO REALE UTILIZZANDO CNN LEGGERE | Ramesh Rudrapati (u. a.) | Taschenbuch | Italienisch | 2026 | Edizioni Sapienza | EAN 9786209426292 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. INTELIGENTNY SYSTEM ¿LEDZENIA WIE¿YCZKI W CZASIE RZECZYWISTYM Z WYKORZYSTANIEM LEKKICH SIECI CNN | Ramesh Rudrapati (u. a.) | Taschenbuch | Polnisch | 2026 | Wydawnictwo Nasza Wiedza | EAN 9786209545436 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condition: Neu. SISTEMA INTELIGENTE DE RASTREIO DE TORRETA EM TEMPO REAL UTILIZANDO CNNs LIGEIRAS | Ramesh Rudrapati (u. a.) | Taschenbuch | Portugiesisch | 2026 | Edições Nosso Conhecimento | EAN 9786209545498 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. ECHTZEIT-INTELLIGENTES TURM-TRACKING-SYSTEM UNTER VERWENDUNG LEICHTGEWICHTIGER CNNs | Ramesh Rudrapati (u. a.) | Taschenbuch | 72 S. | Deutsch | 2026 | Verlag Unser Wissen | EAN 9786209659942 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 68 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 72 pp. Spanisch.

Condition: New. Print on Demand.

Paperback. Condition: new. Paperback. The present work explores the design, development, and evaluation of an intelligent real-time turret tracking system that uses lightweight deep learning models for automated defense surveillance. It explains how modern combat environments demand faster, more accurate threat detection systems that can operate with minimal human intervention. The work focuses on applying efficient computer vision techniques, particularly YOLO-based convolutional neural networks, to detect and track multiple targets such as drones, vehicles, and personnel in dynamic scenes. Special attention is given to deploying these models on low-power edge platforms, addressing challenges related to latency, computational limits, and reliability. The book also discusses the creation and use of synthetic simulation environments to train and validate models when real-world military data is limited. Through experimental analysis and performance evaluation, it demonstrates how model optimization, data augmentation, and resolution scaling improve detection accuracy while maintaining real-time operation. Overall, the proposed work provides a practical and technical guide to building AI-driven surveillance systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condition: New. PRINT ON DEMAND.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 72 pp. Französisch.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The present work explores the design, development, and evaluation of an intelligent real-time turret tracking system that uses lightweight deep learning models for automated defense surveillance. It explains how modern combat environments demand faster, more accurate threat detection systems that can operate with minimal human intervention. The work focuses on applying efficient computer vision techniques, particularly YOLO-based convolutional neural networks, to detect and track multiple targets such as drones, vehicles, and personnel in dynamic scenes. Special attention is given to deploying these models on low-power edge platforms, addressing challenges related to latency, computational limits, and reliability. The book also discusses the creation and use of synthetic simulation environments to train and validate models when real-world military data is limited. Through experimental analysis and performance evaluation, it demonstrates how model optimization, data augmentation, and resolution scaling improve detection accuracy while maintaining real-time operation. Overall, the proposed work provides a practical and technical guide to building AI-driven surveillance systems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -El presente trabajo explora el diseño, desarrollo y evaluación de un sistema inteligente de seguimiento de torretas en tiempo real que utiliza modelos de aprendizaje profundo ligeros para la vigilancia de defensa automatizada. Explica cómo los entornos de combate modernos exigen sistemas de detección de amenazas más rápidos y precisos que puedan operar con una intervención humana mínima. El trabajo se centra en la aplicación de técnicas eficientes de visión artificial, particularmente redes neuronales convolucionales basadas en YOLO, para detectar y rastrear múltiples objetivos como drones, vehículos y personal en escenas dinámicas. Se presta especial atención al despliegue de estos modelos en plataformas edge de bajo consumo, abordando desafíos relacionados con la latencia, los límites computacionales y la confiabilidad. El libro también discute la creación y el uso de entornos de simulación sintéticos para entrenar y validar modelos cuando los datos militares del mundo real son limitados. A través del análisis experimental y la evaluación del rendimiento, demuestra cómo la optimización del modelo, el aumento de datos y el escalado de resolución mejoran la precisión de la detección manteniendo la operación en tiempo real. En general, el trabajo propuesto proporciona una guía práctica y técnica para construir sistemas de vigilancia impulsados por IA.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Spanisch.…

Taschenbuch. Condition: Neu. SISTEMA INTELIGENTE DE SEGUIMIENTO DE TORRETAS EM TIEMPO REAL UTILIZANDO CNNs LIGERAS | Ramesh Rudrapati (u. a.) | Taschenbuch | Spanisch | 2026 | Ediciones Nuestro Conocimiento | EAN 9786209503023 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.…

Condition: New. Print on Demand.

Paperback. Condition: new. Paperback. Le present travail explore la conception, le developpement et l'evaluation d'un systeme intelligent de poursuite de tourelle en temps reel qui utilise des modeles de deep learning legers pour la surveillance de defense automatisee. Il explique comment les environnements de combat modernes exigent des systemes de detection de menaces plus rapides et plus precis, capables de fonctionner avec une intervention humaine minimale. Le travail se concentre sur l'application de techniques de vision par ordinateur efficaces, en particulier les reseaux de neurones convolutifs bases sur YOLO, pour detecter et suivre plusieurs cibles telles que des drones, des vehicules et du personnel dans des scenes dynamiques. Une attention particuliere est accordee au deploiement de ces modeles sur des plateformes edge a faible consommation, en relevant les defis lies a la latence, aux limites de calcul et a la fiabilite. Le livre aborde egalement la creation et l'utilisation d'environnements de simulation synthetiques pour entrainer et valider les modeles lorsque les donnees militaires reelles sont limitees. A travers l'analyse experimentale et l'evaluation des performances, il demontre comment l'optimisation des modeles, l'augmentation des donnees et la mise a l'echelle de la resolution ameliorent la precision de la detection tout en maintenant un fonctionnement en temps reel. Dans l'ensemble, le travail propose fournit un guide pratique et technique pour la construction de systemes de surveillance p This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condition: New. PRINT ON DEMAND.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 72 pp. Deutsch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 68 pp. Italienisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 68 pp. Portugiesisch.