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Advances in Data-Driven Computing and Intelligent Systems Selected Papers from ADCIS 2023, Volume 1 /

This book is a collection of best-selected research papers presented at the International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K K Birla Goa Campus, Goa, India, during September 21–23, 2023. It includes state-of-the-art research wo...

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Searvvušdahkki: SpringerLink (Online service)
Eará dahkkit: Das, Swagatam (Doaimmaheaddji), Saha, Snehanshu (Doaimmaheaddji), Coello Coello, Carlos A. (Doaimmaheaddji), Bansal, Jagdish C. (Doaimmaheaddji)
Materiálatiipa: Elektrovnnalaš E-girji
Giella:eaŋgalasgiella
Almmustuhtton: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Preanttus:1st ed. 2024.
Ráidu:Lecture Notes in Networks and Systems, 891
Fáttát:
Telecommunication.
Electronic circuits.
Cloud Computing.
Artificial intelligence.
Signal processing.
Communications Engineering, Networks.
Electronic Circuits and Systems.
Artificial Intelligence.
Signal, Speech and Image Processing.
Liŋkkat:https://doi.org/10.1007/978-981-99-9524-0
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Sisdoallologahallan:
  • Influences of specimen and fiber sizes on the direct tensile resistance of ultra-high-performance fiber-reinforced concretes
  • Conceptual Model for Data Collection and Processing in a Smart Medical Ward
  • Parts-of-Speech Tagger in Assamese using LSTM and Bi-LSTM
  • Detection of Explicit Lyrics in Hindi Music Using Different Machine Learning Algorithms
  • Does the Resilience learning game foster workforce open innovation and sustainability attributes? Empirical evidence from Greek food industry
  • Seizure Detection by Analyzing EEG Signals Using Deep Learning Networks
  • Enhancing Intelligent Video Surveillance: Deep Learning Approaches for Human Anomalous Behavior Recognition
  • GujFormer: A Vision Transformer Based Architecture for Gujarati Handwritten Character Recognition
  • Prediction of Soil Properties for Agriculture using Ensemble Learning Techniques/- Classification of organic and recyclable waste using a Deep learning approach
  • Machine Learning and its Application in Food Safety.-ISO/IEC 27001 Standard: Analytical and Comparative Overview
  • Hybrid Deep Learning based Potato and Tomato Leaf Disease Classification
  • Anti-Forensic Analysis for Image Splicing Detection through Advanced Filters
  • Classification and prediction of vibration natural frequencies of a circular plate using Chladni patterns and deep learning techniques
  • Multi-Sensor Data Fusion and Deep Machine Learning Models based Mental Stress Detection System
  • Segmentation-based Transformer Network for Automated Skin Disease Detection.

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