Full Description
This book constitutes the refereed proceedings of the First International Conference, Intelligent Systems in Computing and Communication, ISCComm 2023, held in Moodabidri, India, during December 8-9, 2023.
The 36 full papers and 17 short papers were carefully reviewed and selected from 245 proceedings. They were categorized under the topical sections as follows:
Part I:
Artificial Intelligence and Machine Learning
Part II:
IoT&Blockchain Technology, Communication Technology and Data Processing, Image/Video Analysis and Processing
Contents
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.
