Intelligent Systems Design and Applications

Natural Language Processing, Volume 4

AvAjith Abraham,Anu Bajaj

Häftad, Engelska, 2024

Del 1049 i serien Lecture Notes in Networks and Systems

2 174 kr

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Beskrivning

This book highlights recent research on intelligent systems and nature-inspired computing. The ISDA is a premier conference in the field of artificial intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry.

Produktinformation

Utgivningsdatum:2024-07-25
Mått:155 x 235 x 28 mm
Vikt:756 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Networks and Systems
Antal sidor:483
Förlag:Springer International Publishing AG
ISBN:9783031647789

Utforska kategorier

Artificiell intelligens inom Data och IT

Innehållsförteckning

Automatic Textual Normalization for Hate Speech Detection.- SOTW Semantics Oriented Tagging of Web Pages.- Crowdsourcing Applications in Smart Cities.- Evaluation of Vendor Analysis using AHP At TUV Manufacturing Company.- TESA Tagging of Educational Videos Using Semantics Oriented Artificial Intelligence.- SISRR Semantically Inclined Strategic Learning Model for Software Requirement Recommendation Using Artificial Intelligence.- Isolated Word Recognition based on Power Normalized Cepstrum and Machine Learning Clusters.- A Core Domain Ontology for Specifying the Business View of Enterprise Information Systems.- Datadriven Exploration of Pandemics Psychological Impact and Lifestyle Changes through Clustering Approach.- Explainable Artificial Intelligence for Analytical Customer Relationship Management in Banking and Finance.- Artificial Intelligence based Chatbots is Killing Creative Minds An Effective Discussion on Modern Education.- SIGAN Self Inhibited Graph Attention Network for Text Classification.- Unfolding the Misinformation spread An In Depth Analysis through Explainable Link Predictions and Data Mining.- Schematic review of sentiment analysis techniques.- How can Credit Scoring benefit from Machine Learning SWOT Analysis.