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1000 tulosta hakusanalla Arjun Subedi

Sentiment-Analyse

Sentiment-Analyse

Arjun Kuruva; Prof C. Nagaraju

Verlag Unser Wissen
2025
nidottu
In der heutigen digitalen Welt werden Emotionen nicht nur durch Worte, sondern auch durch Emojis vermittelt, die den menschlichen Ausdruck bereichern und neu definieren. "Hybride Deep-Learning-Modelle f r die Stimmungsanalyse mit Text und Emojis" pr sentiert einen bahnbrechenden Ansatz zum Verst ndnis von Stimmungen durch die Integration text- und emojibasierter Daten in fortschrittliche Deep-Learning-Frameworks. Dieses Buch stellt innovative Hybridarchitekturen vor - ECSSO, EBERT und HCGO -, die die St rken von Faltungs-, rekurrenten, transformatorischen und graphenbasierten neuronalen Netzen vereinen. Durch die Kombination linguistischer und visuell-emotionaler Signale erreichen diese Modelle eine bemerkenswerte Genauigkeit bei der Interpretation komplexer Stimmungen, Sarkasmus und kontextreicher digitaler Kommunikation. Umfassende Experimente und Evaluierungen belegen signifikante Verbesserungen gegen ber herk mmlichen, rein textbasierten Systemen und unterstreichen die transformative Rolle von Emojis in der emotionssensitiven k nstlichen Intelligenz. Dieses Buch richtet sich an Forscher, Wissenschaftler und Fachleute aus den Bereichen Verarbeitung nat rlicher Sprache (NLP), K nstliche Intelligenz (KI) und Data Science und bietet tiefe Einblicke in die multimodale Stimmungsanalyse und die Zukunft des emotional intelligenten Computings.
Analyse des sentiments

Analyse des sentiments

Arjun Kuruva; Prof C. Nagaraju

Editions Notre Savoir
2025
nidottu
Dans le monde num rique actuel, les motions s'expriment non seulement par les mots, mais aussi par les mojis, qui enrichissent et red finissent l'expression humaine. L'ouvrage Hybrid Deep Learning Models for Sentiment Analysis using Text and Emojis pr sente une approche novatrice de la compr hension des sentiments, int grant donn es textuelles et mojis au sein de frameworks d'apprentissage profond avanc s. Ce livre introduit des architectures hybrides innovantes - ECSSO, EBERT et HCGO - qui combinent les atouts des r seaux de neurones convolutifs, r currents, transformeurs et bas s sur les graphes. En fusionnant les indices linguistiques et visuels- motionnels, ces mod les atteignent une pr cision remarquable dans l'interpr tation des sentiments complexes, du sarcasme et des communications num riques riches en contexte. Gr ce des exp riences et des valuations exhaustives, la recherche d montre des am liorations significatives par rapport aux syst mes textuels traditionnels, soulignant le r le transformateur des mojis dans l'intelligence artificielle sensible aux motions. Destin aux chercheurs, universitaires et professionnels du traitement automatique du langage naturel (TALN), de l'intelligence artificielle (IA) et des sciences des donn es, cet ouvrage offre une analyse approfondie de l'analyse multimodale des sentiments et de l'avenir de l'informatique motionnellement intelligente.
Analisi del sentimento

Analisi del sentimento

Arjun Kuruva; Prof C. Nagaraju

Edizioni Sapienza
2025
nidottu
Nel mondo digitale odierno, le emozioni vengono trasmesse non solo attraverso le parole, ma anche attraverso emoji che arricchiscono e ridefiniscono l'espressione umana. "Hybrid Deep Learning Models for Sentiment Analysis using Text and Emojis" presenta un approccio innovativo alla comprensione dei sentimenti, integrando dati testuali ed emoji all'interno di framework avanzati di deep learning. Questo libro introduce architetture ibride innovative - ECSSO, EBERT e HCGO - che combinano i punti di forza delle reti neurali convoluzionali, ricorrenti, basate su trasformatori e basate su grafici. Fondendo indizi linguistici e visivo-emozionali, questi modelli raggiungono una notevole accuratezza nell'interpretazione di sentimenti complessi, sarcasmo e comunicazione digitale ricca di contesto. Attraverso esperimenti e valutazioni approfondite, la ricerca dimostra miglioramenti significativi rispetto ai tradizionali sistemi basati solo su testo, evidenziando il ruolo trasformativo degli emoji nell'intelligenza artificiale basata sulle emozioni. Progettato per ricercatori, studiosi e professionisti dell'elaborazione del linguaggio naturale (NLP), dell'intelligenza artificiale (IA) e della scienza dei dati, questo libro offre approfondimenti sull'analisi multimodale del sentiment e sul futuro dell'informatica basata sull'intelligenza emotiva.
Analiza nastrojów

Analiza nastrojów

Arjun Kuruva; Prof C. Nagaraju

Wydawnictwo Nasza Wiedza
2025
nidottu
W dzisiejszym cyfrowym świecie emocje są przekazywane nie tylko za pomocą sl w, ale także emoji, kt re wzbogacają i na nowo definiują ludzką ekspresję. Książka "Hybrid Deep Learning Models for Sentiment Analysis using Text and Emojis" prezentuje przelomowe podejście do rozumienia sentyment w poprzez integrację danych tekstowych i emoji w ramach zaawansowanych framework w glębokiego uczenia. Niniejsza książka przedstawia innowacyjne architektury hybrydowe - ECSSO, EBERT i HCGO - kt re lączą zalety sieci neuronowych splotowych, rekurencyjnych, transformatorowych i grafowych. Lącząc wskaz wki językowe i wizualno-emocjonalne, modele te osiągają niezwyklą dokladnośc w interpretacji zlożonych sentyment w, sarkazmu i bogatej w kontekst komunikacji cyfrowej. Dzięki kompleksowym eksperymentom i ewaluacjom badania wykazują znaczące udoskonalenia w por wnaniu z tradycyjnymi systemami opartymi wylącznie na tekście, podkreślając transformacyjną rolę emotikon w w sztucznej inteligencji uwzględniającej emocje. Książka ta, przeznaczona dla badaczy, naukowc w i profesjonalist w z zakresu przetwarzania języka naturalnego (NLP), sztucznej inteligencji (AI) i nauki o danych, oferuje doglębny wgląd w multimodalną analizę sentyment w i przyszlośc obliczeń opartych na inteligencji emocjonalnej.
Análise de sentimentos

Análise de sentimentos

Arjun Kuruva; Prof C. Nagaraju

Edicoes Nosso Conhecimento
2025
nidottu
No mundo digital atual, as emo es s o transmitidas n o s atrav s de palavras, mas tamb m por emojis que enriquecem e redefinem a express o humana. O livro "Modelos H bridos de Aprendizagem Profunda para An lise de Sentimentos utilizando Texto e Emojis" apresenta uma abordagem inovadora para a compreens o de sentimentos, integrando dados textuais e baseados em emojis em estruturas avan adas de aprendizagem profunda. Este livro introduz arquiteturas h bridas inovadoras - ECSSO, EBERT e HCGO - que combinam os pontos fortes das redes neuronais convolucionais, recorrentes, transformadoras e baseadas em grafos. Ao fundir pistas lingu sticas e visuais-emocionais, estes modelos conseguem uma precis o not vel na interpreta o de sentimentos complexos, sarcasmo e comunica o digital rica em contexto. Atrav s de experi ncias e avalia es abrangentes, a investiga o demonstra melhorias significativas em rela o aos sistemas tradicionais baseados apenas em texto, destacando o papel transformador dos emojis na intelig ncia artificial sens vel s emo es. Destinado a investigadores, acad micos e profissionais de Processamento de Linguagem Natural (PLN), Intelig ncia Artificial (IA) e Ci ncia de Dados, este livro oferece insights profundos sobre a an lise de sentimentos multimodal e o futuro da computa o emocionalmente inteligente.
Theory Of Satellite Fragmentation In Orbit

Theory Of Satellite Fragmentation In Orbit

Arjun Tan

WORLD SCIENTIFIC PUBLISHING CO PTE LTD
2026
sidottu
A new field of science called Satellite Fragmentation in Orbit was ushered in on 29 June 1961 when a Thor-Ablestar rocket exploded in orbit. However, it was not until 58 years and 268 additional satellite breakups later that the first book in this field entitled Theory of Satellite Fragmentation in Orbit appeared in print. The book begins with a survey of satellite breakups due to various causes such as explosion of residual fuel left in the upper stages, intentional destructions in anti-satellite (ASAT) tests, accidental collisions, etc. Fundamental physical processes underlying satellite fragmentations of various kinds are outlined. Exact solutions of velocity perturbations of the fragments in a satellite breakup were obtained and applied to analyze the nature of the fragmentation retrospectively. The formation of 'ricochet fragments' was shown to constitute a sufficient condition for collision in space.Since then, several prominent satellite fragmentations in orbit had taken place, all of them due to collisions, which exhibited new phenomenology not witnessed before. For example, in March 2019, India's Microsat-R satellite was destroyed in an ASAT test by a kinetic kill vehicle (KKV) which exhibited signatures of four separate breakups, the first of which was due to impact by the KKV, and the subsequent breakups were due to the ignition of residual propellants. Also, Russia's unique version of direct-ascent ASAT test was carried out in November 2021, when its Cosmos 1408 satellite was struck from behind by a hypersonic Nudol missile. A butterfly pattern in the fragment cloud with three wings akin to p-orbitals of the hydrogen atom was recorded for the first time. This second edition now updates the orbiting satellite fragmentation phenomenology in one single volume for ready reference.
PLAYFUL PHYSICS

PLAYFUL PHYSICS

Arjun Sarkar

Blue Rose Publishers
2025
nidottu
Playful Physics is an interactive science experiment book designed for students aged 12-14 (Grades 6-8), packed with exciting DIY activities that make physics come alive. Authored by high schooler and physics enthusiast Arjun Sarkar, the book turns kitchen counters, school desks, and cardboard boxes into thrilling science labs. From balloon-powered cars and solar ovens to floating fish and infinity mirrors, each experiment includes easy-to-follow steps, required materials, fun variations, and clear explanations of the physics at play. The book covers key concepts like Newton's Laws, energy conversion, light refraction, air pressure, sound waves, magnetism, and electricity-all through play and observation. Whether you're a student, parent, or educator, Playful Physics is a joyful introduction to hands-on STEM learning. It's not just about making things-it's about understanding how and why they work. With every experiment, students build curiosity, confidence, and a deeper connection to the real world.
Fa?iza A Spy Docuthriller based on World War II

Fa?iza A Spy Docuthriller based on World War II

Arjun Chaudhuri

Ukiyoto Publishing
2025
pokkari
'Fāʾiza is a gripping historical spy thriller set against the backdrop of World War II, spanning Morocco, France and Nazi Germany and is based on true incidents. The novel follows the coming-of-age journey of Fāʾiza, a young girl from a modest Moroccan family, surrounded by the shadows of war and political unrest. Told in a chronological narrative, the story narrates the evolution of the Nazi regime and Fāʾiza's transformation from an innocent young girl to a covert operative playing a pivotal role in the Operation Torch in 1942. While secret agents are never spoken about or recorded in history, this story speaks about Fāʾiza's choice of righteousness bringing about a dramatic twist in the Operation Torch. Was Fāʾiza really the ultimate Chosen One by The F hrer?
Cyber Empires

Cyber Empires

Arjun Deshmukh

VIJ BOOKS
2025
sidottu
When power no longer needs boots to cross a border, it arrives through updates, outages, and the quiet recalibration of your daily choices. This book takes you inside the global contest where nations and their proxies fight for control of digital sovereignty, where state hackers explain becomes the language of geopolitics, and where hospitals, schools, and small firms are collateral in a struggle for AI in conflict and influence. It shows how data colonisation works in practice-who extracts value, who bears risk-and why the rise of the surveillance state critique concerns every voter, parent, and owner. You will see how ransomware became foreign policy, how platforms shape elections, and how the coming shift to post-quantum security might break what we trust today. Along the way, you get a clear playbook for protecting citizens online and cybersecurity for small businesses: realistic baselines, smarter procurement, and habits that reduce everyday harm. If you have sensed that the world is moving under your feet but lacked the map, this is it. - Understand the five-layer stack that decides who holds power - Read incidents like an analyst-and policies like a citizen - Act with confidence, without surrendering liberty For readers who want more than fear or hype, this is a guide to the real battlefield of cyber warfare book stakes: code, clouds, and the choices that protect what matters.
Cyber Empires

Cyber Empires

Arjun Deshmukh

VIJ BOOKS
2025
pokkari
When power no longer needs boots to cross a border, it arrives through updates, outages, and the quiet recalibration of your daily choices. This book takes you inside the global contest where nations and their proxies fight for control of digital sovereignty, where state hackers explain becomes the language of geopolitics, and where hospitals, schools, and small firms are collateral in a struggle for AI in conflict and influence. It shows how data colonisation works in practice-who extracts value, who bears risk-and why the rise of the surveillance state critique concerns every voter, parent, and owner. You will see how ransomware became foreign policy, how platforms shape elections, and how the coming shift to post-quantum security might break what we trust today. Along the way, you get a clear playbook for protecting citizens online and cybersecurity for small businesses: realistic baselines, smarter procurement, and habits that reduce everyday harm. If you have sensed that the world is moving under your feet but lacked the map, this is it. - Understand the five-layer stack that decides who holds power - Read incidents like an analyst-and policies like a citizen - Act with confidence, without surrendering liberty For readers who want more than fear or hype, this is a guide to the real battlefield of cyber warfare book stakes: code, clouds, and the choices that protect what matters.
Waiting for the Man

Waiting for the Man

Arjun Basu

ECW Press,Canada
2015
nidottu
"Giller-longlisted fiction -- now in trade paper" Joe, a 36-year-old advertising copywriter for a slick New York agency, feels disillusioned with his life. He starts dreaming of a mysterious man, seeing him on the street, and hearing his voice. Joe decides to listen to the Man and so he waits on his stoop, day and night, for instructions. A local reporter takes notice, and soon Joe has become a media sensation, the centre of a storm. When the Man tells Joe to "go west," he does, in search of meaning. A surreal journey of a man who is searching for purpose and for happiness, "Waiting for the Man" is about the struggle to find something more in life. The paperback edition includes a bonus BackLit section with a reader's guide, Q&A with the author, and more.
Robuste zeitinvariante Filterung für die Optimierung von drahtlosen Relais
Dieses Buch stellt den Entwurf, die Implementierung und die Leistungsbewertung eines adaptiven gemeinsamen SCAMP-Filters und eines Optimierungsschemas f r Relaisgewichte f r ein drahtloses kooperatives Amplify-and-Forward (AF)-Relais-Netzwerk vor, das ber frequenzselektive Fading-Kan le arbeitet. Konventionelle NF-Systeme leiden unter verst rktem Rauschen und Intersymbol-Interferenz (ISI) aufgrund von kaskadierten Multi-Tap-Kanaleffekten. Um diese Einschr nkungen zu beheben, wird in dieser Arbeit ein gemeinsamer adaptiver Filteransatz verwendet, der gleichzeitig den Quellenvorcodierungsfilter und das Relaisverst rkungsgewicht optimiert, um den mittleren quadratischen Fehler (MSE) von Ende zu Ende zu minimieren und die erreichbare Datenrate zu erh hen. Das gemeinsame Optimierungsproblem wird mit der projizierten Subgradientenmethode (PSGM) gel st, die Robustheit gegen ber nichtlinearen Einschr nkungen wie Sparsamkeit bietet und gleichzeitig eine geringe Rechenkomplexit t aufweist. Der Algorithmus wurde in einer MATLAB-Simulationsumgebung implementiert und unter einem zeitvariablen auto-regressiven (AR(1)) Fading-Modell getestet. Wichtige Leistungskennzahlen wie MSE-Konvergenz, Filtereigenschaften, erreichbare Rate und Robustheit gegen ber Parameter nderungen werden analysiert.
Filtrage robuste invariant dans le temps pour l'optimisation des relais sans fil
Ce livre pr sente la conception, la mise en oeuvre et l' valuation des performances d'un filtre SCAMP conjoint adaptatif et d'un sch ma d'optimisation du poids du relais pour un r seau de relais coop ratif Amplify-and-Forward (AF) sans fil fonctionnant sur des canaux d' vanouissement s lectifs en termes de fr quence. Les syst mes AF conventionnels souffrent d'un bruit compos et d'interf rences inter-symboles (ISI) en raison d'effets de canaux multi-tap en cascade. Pour rem dier ces limitations, ce travail utilise une approche de filtrage adaptatif conjointe qui optimise simultan ment le filtre de pr codage de la source et le poids d'amplification du relais afin de minimiser l'erreur quadratique moyenne de bout en bout et d'am liorer le d bit de donn es r alisable. Le probl me d'optimisation conjointe est r solu l'aide de la m thode du sous-gradient projet (PSGM), qui offre une robustesse face aux contraintes non lin aires telles que l' parpillement, tout en maintenant une faible complexit de calcul. L'algorithme est mis en oeuvre et test dans un environnement de simulation MATLAB dans le cadre d'un mod le d' vanouissement autor gressif (AR(1)) variant dans le temps. Les principales mesures de performance telles que la convergence MSE, les caract ristiques du filtre, le taux r alisable et la robustesse aux variations de param tres sont analys es.
Filtraggio robusto in tempo invariante per l'ottimizzazione dei relè wireless
Questo libro presenta la progettazione, l'implementazione e la valutazione delle prestazioni di un filtro SCAMP adattativo congiunto e di uno schema di ottimizzazione del peso del rel per una rete di rel cooperativa wireless Amplify-and-Forward (AF) che opera su canali fading a selezione di frequenza. I sistemi AF convenzionali soffrono di rumore composto e di interferenze intersimbolo (ISI) dovute agli effetti del canale multi-tap a cascata. Per ovviare a queste limitazioni, questo lavoro impiega un approccio di filtraggio adattativo congiunto che ottimizza simultaneamente il filtro di precodifica della sorgente e il peso di amplificazione del rel per minimizzare l'errore quadratico medio (MSE) end-to-end e migliorare la velocit di trasmissione dei dati raggiungibile. Il problema di ottimizzazione congiunta risolto utilizzando il metodo del subgradiente proiettato (PSGM), che fornisce robustezza contro i vincoli non lineari come la sparsit , mantenendo al contempo una bassa complessit computazionale. L'algoritmo implementato e testato in un ambiente di simulazione MATLAB con un modello di fading autoregressivo (AR(1)) variabile nel tempo. Vengono analizzate le principali metriche di prestazione, come la convergenza MSE, le caratteristiche del filtro, la velocit raggiungibile e la robustezza alle variazioni dei parametri.
Solidne filtrowanie niezmienne w czasie dla optymalizacji przekazników bezprzewodowych
Niniejsza książka przedstawia projekt, implementację i ocenę wydajności adaptacyjnego wsp lnego filtra SCAMP i schematu optymalizacji wagi przekaźnika dla bezprzewodowej kooperacyjnej sieci przekaźnikowej Amplify-and-Forward (AF) dzialającej w kanalach zanikających o selektywnej częstotliwości. Konwencjonalne systemy AF cierpią z powodu zlożonego szumu i zakl ceń międzysymbolowych (ISI) z powodu kaskadowych efekt w kanalu wielopunktowego. Aby zaradzic tym ograniczeniom, w niniejszej pracy zastosowano metodę wsp lnego filtrowania adaptacyjnego, kt ra jednocześnie optymalizuje filtr wstępnego kodowania źr dla i wagę wzmocnienia przekaźnika w celu zminimalizowania średniego blędu kwadratowego (MSE) i zwiększenia osiągalnej szybkości transmisji danych. Wsp lny problem optymalizacji jest rozwiązywany przy użyciu metody prognozowanego subgradientu (PSGM), kt ra zapewnia odpornośc na nieliniowe ograniczenia, takie jak rzadkośc, przy jednoczesnym zachowaniu niskiej zlożoności obliczeniowej. Algorytm zostal zaimplementowany i przetestowany w środowisku symulacyjnym MATLAB w zmiennym w czasie modelu zanikającym AR(1). Analizowane są kluczowe wskaźniki wydajności, takie jak zbieżnośc MSE, charakterystyka filtra, osiągalna szybkośc i odpornośc na zmiany parametr w.
Filtragem robusta invariante no tempo para otimização de retransmissores sem fios
Este livro apresenta a conce o, a implementa o e a avalia o do desempenho de um filtro SCAMP conjunto adaptativo e de um esquema de otimiza o do peso do retransmissor para uma rede de retransmiss o cooperativa Amplify-and-Forward (AF) sem fios a operar em canais com desvanecimento seletivo em frequ ncia. Os sistemas AF convencionais sofrem de ru do composto e interfer ncia inter-s mbolos (ISI) devido a efeitos de canal multi-tap em cascata. Para resolver estas limita es, este trabalho emprega uma abordagem de Filtragem Adaptativa Conjunta que optimiza simultaneamente o filtro de pr -codifica o da fonte e o peso de amplifica o do retransmissor para minimizar o Erro Quadr tico M dio (EQM) de fim-a-fim e aumentar a taxa de dados alcan vel. O problema de otimiza o conjunta resolvido usando o M todo do Subgradiente Projetado (PSGM), que proporciona robustez contra restri es n o lineares, tais como a esparsidade, mantendo uma baixa complexidade computacional. O algoritmo implementado e testado num ambiente de simula o MATLAB sob um modelo de desvanecimento Auto-Regressivo (AR(1)) vari vel no tempo. S o analisadas as principais m tricas de desempenho, como a converg ncia MSE, as carater sticas do filtro, a taxa alcan vel e a robustez a varia es de par metros.