Intelligent Systems in Computing and Communication

Intelligent Systems in Computing and Communication

First International Conference, ISCComm 2023, Moodabidri, India, December 8-9, 2023, Proceedings, Part I

L., Dinesha; Rajesh, Sreeja; T., Shreekumar

Springer International Publishing AG

11/2024

377

Mole

9783031756047

15 a 20 dias

Descrição não disponível.
Artificial Intelligence and Machine Learning.- A Novel Approach for Skin Infections Classification using Transfer Learning.- A Unified Image Repository for Cucurbits Diseases and Pests.- Towards Hands Free Computing AI Virtual Mouse Interface Powered by Gestures.- SmartAgro Precision Yield Prediction, Crop Insights, and Real Time Dashboard.- Artificial Intelligence with MRI Guided Radiation Therapy for Cancer Treatment.- Software Requirements to UML Class Diagrams using Machine Learning and Rule-based Approach.- ALEA LSTM Adaptive Lotus Effect Algorithm enabled Long Short Term Memory for Rainfall prediction using time series data.- A Deep Learning Survey on diseases prediction and detection in health care.- Fault diagnosis in belts using signal processing techniques and machine learning.- Machine Learning Techniques based Chronic Kidney Disease Detection with Performance Analysis of Fuzzy Rough Set and Correlation Attribute Selection.- Segmentation and Classification of unharvestedarecanut bunches using deep learning.- Enhanced Satellite Image Fusion using Deep Learning and Feature Extraction Techniques A Survey.- Intelligent Aircraft Antiskid Braking Systems A Review.- Artificial Neural Networks Applied in the Detection of Breast Cancer.- Supervised and Unsupervised Learning Techniques for Malware Classification Based on Opcode Frequency Features.- Predictive Analytics for Diagnosing Alzheimer's Disease using Artificial Intelligence and Machine Learning Algorithms.- A Comprehensive Study on Artificial Intelligence (AI) driven Internet of Healthcare Things (IOHT).- Predictive Models for the Early Diagnosis and Prognosis of Knee Osteoarthritis Using Deep Learning Techniques.- Predicting salinity resistance of rice at the seedling stage an evaluation of transfer learning methods.- Multi Camera HD Pedestrian Dataset For Person Detection And Re Identification.- Fire Detection System using Deep CNN.- Deep learning classification model for analysing and predicting road accidents.- Web Scraping System for Recommendation of Mobiles from Multiple E commerce Websites.- A Machine Learning Approaches with Special Emphasis for Identification of Plant Leaf Diseases in Crop Yield Prediction.- State of the art Recurrent Neural Network with Bidirectional Long Short Term Memory for Cursive Handwriting Recognition.- BERT based question answering for narrative text on document corpus.
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Artificial Intelligence;Deep Learning;Machine Learning;Image Processing;Communication Technology;Video Processing;Internet of Things;Block chain Technology