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 89, 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

Inhalt

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.