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  • Computational intelligence in communications and business analytics = 5th International Conference, CICBA 2023, Kalyani, India, January 27-28, 2023 : revised selected papers.. Part I /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Computational intelligence in communications and business analytics/ edited by Kousik Dasgupta ... [et al.].
    其他題名: 5th International Conference, CICBA 2023, Kalyani, India, January 27-28, 2023 : revised selected papers.
    其他題名: CICBA 2023
    其他作者: Dasgupta, Kousik.
    團體作者: CICBA (Conference)
    出版者: Cham :Springer Nature Switzerland : : 2024.,
    面頁冊數: xix, 351 p. :ill. (chiefly col.), digital ;24 cm.
    內容註: Track: Computational Intelligence -- A Review on Machine Learning and Deep Learning Based Approaches in Detection and Grading of Alzheimer's Disease -- Assessment of Slope Instability in a Hilly Terrain: A Logistic regression and Random Forest Based Approach -- A Comparative Study on the Evaluation of k-mer Indexing in Genome Sequence Compression -- Classification of Text and Non-text Components present in offline Unconstrained handwritten documents using Convolutional Neural Network -- Motion Detection using Three Frame Differencing and CNN -- Advance detection of Diabetic Retinopathy: Deep Learning Approach -- Load Flow Solution For Radial Distribution Networks Using Chaotic Opposition based WhaleOptimization Algorithm -- Dimension Reduction in Hyperspectral Image Using Single Layer Perceptron Neural Network -- Economic load dispatch problem using African vulture optimization algorithm (AVOA) in thermal power plant with wind energy -- Grey Wolf Optimization Based Maximum Power Point Tracking Algorithm for Partially Shaded Photovoltaic Modules in Wireless Battery Charging Application -- Regression Analysis For Finding Correlation On Indian Agricultural Data -- Classification of the Chest X-ray Images of COVID-19 Patients through the Mean Structural Similarity Index -- A Religious Sentiment Detector based on Machine Learning to provide meaningful analysis of Religious Texts -- Automated Detection of melanoma skin disease using classification algorithm -- Identification of Cloud types for Meteorological Satellite images: A character-based CNN-LSTM hybrid caption model -- Prediction and Deeper Analysis of Market Fear in Pre-COVID-19, COVID-19 and Russia-Ukraine Conflict: A Comparative Study of Facebook Prophet, Uber Orbit and Explainable AI -- ANN for diabetic prediction by using chaotic based sine cosine algorithm -- A Deep CNN Framework for Oral Cancer Detection using Histopathology Dataset -- AntiNuclear Antibody Pattern Classification using CNN with Small Dataset -- Classification of Offensive Tweet in MarathiLanguage using Machine Learning Models -- An integrative method for COVID-19 patients' classification from chest X-ray using deep learning network with feature extraction from image visibility graph -- Identification And Multi-Classification of Several Potato Plant Leave Diseases Using Deep Learning -- A GUI-based approach to predict heart disease using machine learning algorithms and flask API -- Classification of cricket shots from cricket videos using Self-Attention Infused CNN-RNN (SAICNNRNN) -- Attention-Residual Convolutional Neural Network for Image Restoration Due to Bad Weather -- Deep Learning-Based Intelligent GUI Tool For Skin Disease Diagnosis System.
    Contained By: Springer Nature eBook
    標題: Computational intelligence - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-48876-4
    ISBN: 9783031488764
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