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  • Intelligent computing, smart communication and network technologies = first International Conference, ICICSCNT 2023, Chennai, India, May 17-18, 2023 : proceedings /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Intelligent computing, smart communication and network technologies/ edited by Paulraj Dassan, Sethukarasi Thirumaaran, Neelakandan Subramani.
    其他題名: first International Conference, ICICSCNT 2023, Chennai, India, May 17-18, 2023 : proceedings /
    其他題名: ICICSCNT 2023
    其他作者: Dassan, Paulraj.
    團體作者: International Conference on Intelligent Computing, Smart Communication and Network Technologies
    出版者: Cham :Springer Nature Switzerland : : 2024.,
    面頁冊數: xiv, 436 p. :ill. (chiefly color), digital ;24 cm.
    內容註: Application of neural nets as computing network in augmenting variables of abrasive machining in polymer composites. -- Design of Metaheuristically Supervised Linear ADRC for a Magnetic Levitation System Control. -- Heart Disease Prediction Using Machine Learning Techniques. -- Mental Health Classifier Model Using Support Vector Machines. -- Enhanced Cloud Virtualization Based On Offloading Dynamic Switching Scheduling Algorithm Using Optimal Time Desk Task Allocation Model. -- A Quick and effective loan eligibility analysis model using LightGBM. -- Lifting Wavelet Transform Based Data Steganography for Health Care and Military Applications. -- To Enhance the Efficiency and Features of Text to Image Generation using Neural Network Models. -- DIABETIC RETINOPATHY IMAGE RECOGNITION USING AI TECHNIQUE IN RASBERRY PI. -- Melanoma Skın Cancer classıfıcatıon usıng Transfer Learnıng. -- EPIDEMIC OUTBREAK PREDICTION USING SIR MODEL. -- Detecting Fake and Genuine facebook Users using Gradient Boosted Trees and Interpretable Machine Learning. -- Multi-Faceted Surveillance Cam Using Computer Vision And Tkinter tool. -- Real Time Sign Language Recognition using Custom Convolutional Neural Network and YOLOv5. -- Modernized Speed Regulation Technique of DC Motor through Arduino. -- Design and Performance analysis of proposed dual channel Redundant LoRaWAN for Industrial Control and Safety Shutdown Systems. -- IoT-Based Crop Recommendation System Using SVM and Decision Tree Algorithm. -- Analysis of Social Engineering Security Challenges and its Emerging Technologies. -- Continuous Sign Language Recognition Using Holistic Key Points. -- New Hybrid Ensemble Learning-Based Malware Detection Technique. -- Computerized Number Plate Detection and Generalized Character Recognition using YOLOv8 Model. -- Design And Creation of an App for Text and Voice Recognition System of Sign Language using Deep Learning Technique - Sign Aloud. -- Malicious cyber attacks on blockchain handled using Machine learning algorithm. -- Efficient Wind Speed Prediction using Machine Learning. -- WAVERIDER - AN AUTONOMOUS SMART BOAT FOR GARBAGE COLLECTION, RESCUE OPERATIONS AND AQUACULTURE. -- Early detection of autism spectrum disorder (ASD)-A Deep Learning Approach. -- Implementing automatic ABCD rule for the classification of benign and malignant skin lesions. -- The behaviour and sentience of Artificial intelligence. -- Detection of Affected Spina Bifida Infant Babies in Ultra-Sound Images using LRMNet. -- Naval Mine Detection and Classification: A Comparative Analysis of Deep Learning and Machine Learning Techniques. -- Netflix Stock Price Prediction using LSTM based RNN. -- Machine Learning Based Earlier Identification of Liver Disease Using Ultrasound Images. -- HYBRID APPROACH FOR BRAIN TUMOR DETECTION AND CLASSIFICATION USING MRI. -- Predictive Diagnosis A Survey: Harnessing the Power of Convolutional Neural Networks for Disease Prognostication through Scanned Image Analysis. -- LEARNING TO GENERATE: TEXT GUIDED VISUAL FEATURE EXTRACTION FOR IMAGE CAPTIONING USING JOINT TWO-PHASE LEARNING MODEL. -- AI-Driven Indoor Farming: An Algorithmic Approach to Sustainable Agriculture.
    Contained By: Springer Nature eBook
    標題: Artificial intelligence - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-75957-4
    ISBN: 9783031759574
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