Jahanzaib (47 results)

Condition: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. Arts, Fatima (illustrator).

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Kartoniert / Broschiert. Condition: New. Route Transmission & Control Applications and Java Web Services manuscript contain the research work, evaluating the feasibility of using Java Web Services in the area of geospatial location and route monitoring. It discuses the cost advantages of using Web.

Taschenbuch. Condition: Neu. Route Transmission & Control Applications and Java Web Services | Route Transmission and Control Using a Java EE5 Web Service and a Vehicle Based Mobile Device (Cellular phone or a PDA with GPS) | Jahanzaib Imtiaz | Taschenbuch | Kartoniert / Broschiert | Englisch | 2013 | VDM Verlag Dr. Müller | EAN 9783836475068 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.…

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Paperback. Condition: Brand New. 188 pages. 8.66x5.91x0.43 inches. In Stock.

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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on how Geo-Politics and Geo-Economics jointly shape Pakistan s foreign policy, tracing the country s strategic shift from security-driven doctrines to prioritized Geo-Economic imperatives after 2008. Drawing on in-depth case studies and rigorous qualitative analysis under a neoliberal framework, it demonstrates how economic ambitions recalibrate relations with major powers, neighbours and the Muslim world. The book assesses opportunities, constraints and strategic trade-offs, and situates Pakistan s agency within an evolving global order.Geared to scholars, policymakers and strategic practitioners of both public and private sectors, the study combines empirical evidence with policy-relevant analysis and recommendations to illuminate Pakistan s diplomatic and economic strategies. Readers will gain a concise, integrated understanding of Pakistan s historical drivers and future prospects, along with practical insights into economic diplomacy and political economy. The book also equips policymakers and analysts with support to evaluate policy choices that balance security, sovereignty, and development. By linking theory to practice, this work offers a timely, actionable framework for understanding Pakistan s prioritization from Geo-Politics to Geo-Economics and its implications for regional and global strategy.…

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Taschenbuch. Condition: Neu. Erkennung von Netzwerkangriffen im IoT mit künstlicher Intelligenz | "Schützen Sie Ihre vernetzte Welt: KI-gestützte Strategie zur Erkennung von Netzwerkangriffen in IoT-Geräten" | Muhammad Jahanzaib Gul (u. a.) | Taschenbuch | 52 S. | Deutsch | 2023 | Verlag Unser Wissen | EAN 9786205933329 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Condition: Sehr gut. Zustand: Sehr gut | Seiten: 52 | Sprache: Italienisch | Produktart: Bücher | Ci piace avere soluzioni semplici e automatizzate , ma queste soluzioni semplici e automatizzate nella tecnologia possono anche contenere dei rischi se non vengono gestite in modo appropriato. Lepreoccupazioni per la sicurezza e la privacy dell'IoT devono essere messe a fuoco. Ci possono essere diversi tipi di attacchi sulle reti IoT che possono danneggiare il dispositivo o rubare le informazioni sensibili. Pertanto, le tecniche di intelligenza artificiale (AI) hanno la capacità di rilevare e classificare un comportamento di rete sconosciuto imparando i modelli di attacchi di rete basati su grandi volumi di dati storici. Abbiamo usato il dataset Aposemat IoT-23 , abbiamo studiato il contesto e implementato gli algoritmi di apprendimento automatico come Decision Tree, Random Forest e Naive Bayes. Abbiamo anche confrontato l'accuratezza tra questi algoritmi diapprendimento automatico sul dataset IoT-23 e abbiamo mostrato l'algoritmo di apprendimento automatico più efficiente in base ai risultati ottenuti utilizzando il dataset Aposemat IoT-23, oltre a mostrare le tecniche di feature engineering per preprocessare il dataset citato per il rilevamento e la classificazione degli attacchi di rete IoT. …

PF. Condition: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -We like to have simple and automated solutions but these simple and automated solutions in technology could also contains risks if not deal properly. IoT security and privacy concerns are needs to be focus. There can be multiple types of attack on IoT networks which can damage the device or steal the sensitive information. Therefore, artificial intelligence (AI) techniques has an ability to detect and classify an unknown network behavior by learning the network attacks patterns based on large volumes of historical data. we used Aposemat IoT-23 dataset, investigate the background and implement the machine learning algorithms such as Decision Tree, Random Forest and Naive Bayes. We also compared the accuracy among these machine learning algorithms on the IoT-23 dataset and showed the most efficient machine learning algorithm as per results by using Aposemat IoT-23 dataset, as well as showed feature engineering techniques to preprocess the mentioned dataset for detection and classification of IoT network attacks. 52 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Nos gusta tener soluciones sencillas y automatizadas , pero estas soluciones sencillas y automatizadas en tecnología también pueden contener riesgos si no se tratan adecuadamente . Es necesario centrarse en laseguridad y la privacidad de IoT .Puede haber múltiples tipos de ataques en las redes IoT que pueden dañar el dispositivo o robar información confidencial. Por lo tanto, las técnicas deinteligencia artificial (IA )tienen la capacidad de detectar y clasificar un comportamiento de red desconocido mediante el aprendizaje de los patrones de ataques de red basados en grandes volúmenes de datos históricos. Utilizamos elconjunto de datos Aposemat IoT-23 , investigamos los antecedentes e implementamos los algoritmos de aprendizaje automático como Decision Tree, Random Forest y Naive Bayes. También comparamos la precisión entre estos algoritmos de aprendizaje automático en el conjunto de datos IoT-23 y mostramos el algoritmo de aprendizaje automático más eficiente según los resultados utilizando el conjunto de datos Aposemat IoT-23, así como mostramos técnicas de ingeniería de características para preprocesar el conjunto de datos mencionado para la detección y clasificación de ataques de red IoT. 52 pp. Spanisch.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. We like to have simple and automated solutions but these simple and automated solutions in technology could also contains risks if not deal properly. IoT security and privacy concerns are needs to be focus. There can be multiple types of attack on IoT netwo.…

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Nous aimons avoir des solutions simples et automatisées , mais ces solutions technologiques simples et automatisées peuvent également contenir des risques si elles ne sont pas gérées correctement. Lesproblèmes de sécurité et de confidentialité de l'IdO doivent être pris en compte. Il peut y avoir de nombreux types d'attaques sur les réseaux IdO qui peuvent endommager l'appareil ou voler des informations sensibles .Parconséquent, les techniques d'intelligence artificielle(IA )ont la capacité de détecter et de classer un comportement de réseau inconnu en apprenant les modèles d'attaques de réseau basés sur de grands volumes de données historiques .Nous avons utilisé l'ensemble de données Aposemat IoT-23 , étudié le contexte et mis en oeuvre les algorithmes d'apprentissage automatique tels que Decision Tree, Random Forest et Naive Bayes. Nous avons égalementcomparé la précision de ces algorithmes d'apprentissage automatique sur l'ensemble de données IoT-23 et montré l'algorithme d'apprentissage automatique le plus efficace selon les résultats en utilisant l'ensemble de données Aposemat IoT-23, ainsi que des techniques d'ingénierie des caractéristiques pour prétraiter l'ensemble de données mentionné pour la détection et la classification des attaques de réseau IoT. 52 pp. Französisch. …

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Route Transmission & Control Applications and Java Web Services manuscript contain the research work, evaluating the feasibility of using Java Web Services in the area of geospatial location and route monitoring. It discuses the cost advantages of using Web Services by describing previous and traditional approaches, followed by a comparative analysis of these for a small scale project. A reference software implementation is presented to illustrate the validity of the GPRS /SOAP Web Services approach. Furthermore, some guidelines to extend this approach to technologies (SOAP envelop XML compression, Smart mobile client, Quality of service, Web Service security) are given.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jaffery Ali AkbarAli Akbar is currently serving as Lecturer in Industrial Engineering and Management department at the Dawood University of Engineering & Technology Karachi, Pakistan.Presently, he is pursuing his MSc in Mechanical En.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -We like to have simple and automated solutions but these simple and automated solutions in technology could also contains risks if not deal properly. IoT security and privacy concerns are needs to be focus. There can be multiple types of attack on IoT networks which can damage the device or steal the sensitive information. Therefore, artificial intelligence (AI) techniques has an ability to detect and classify an unknown network behavior by learning the network attacks patterns based on large volumes of historical data. we used Aposemat IoT-23 dataset, investigate the background and implement the machine learning algorithms such as Decision Tree, Random Forest and Naive Bayes. We also compared the accuracy among these machine learning algorithms on the IoT-23 dataset and showed the most efficient machine learning algorithm as per results by using Aposemat IoT-23 dataset, as well as showed feature engineering techniques to preprocess the mentioned dataset for detection and classification of IoT network attacks.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. …

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Nos gusta tener soluciones sencillas y automatizadas , pero estas soluciones sencillas y automatizadas en tecnología también pueden contener riesgos si no se tratan adecuadamente . Es necesario centrarse en laseguridad y la privacidad de IoT .Puede haber múltiples tipos de ataques en las redes IoT que pueden dañar el dispositivo o robar información confidencial. Por lo tanto, las técnicas deinteligencia artificial (IA )tienen la capacidad de detectar y clasificar un comportamiento de red desconocido mediante el aprendizaje de los patrones de ataques de red basados en grandes volúmenes de datos históricos. Utilizamos elconjunto de datos Aposemat IoT-23 , investigamos los antecedentes e implementamos los algoritmos de aprendizaje automático como Decision Tree, Random Forest y Naive Bayes. También comparamos la precisión entre estos algoritmos de aprendizaje automático en el conjunto de datos IoT-23 y mostramos el algoritmo de aprendizaje automático más eficiente según los resultados utilizando el conjunto de datos Aposemat IoT-23, así como mostramos técnicas de ingeniería de características para preprocesar el conjunto de datos mencionado para la detección y clasificación de ataques de red IoT.…