| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Artificial intelligence based smart and secured applications/ edited by Sridaran Rajagopal ... [et al.]. |
| Reminder of title: |
third International Conference, ASCIS 2024, Rajkot, India, October 16-18, 2024 : revised selected papers. |
| remainder title: |
ASCIS 2024 |
| other author: |
Rajagopal, Sridaran. |
| corporate name: |
ASCIS (Conference) |
| Published: |
Cham :Springer Nature Switzerland : : 2025., |
| Description: |
liii, 436 p. :ill. (some col.), digital ;24 cm. |
| [NT 15003449]: |
Artificial Intelligence & Machine Learning. -- Deep Learning Methodologies for Segmentation and Classification of Cutaneous Malignancies Utilizing Capsule Networks. -- Prediction of Anti-Cholinesterase drug for Alzheimer disease using Machine Learning Techniques. -- Scrutinize Search Engine Optimization strategies with Artificial Intelligence to Rank a website. -- A STUDY ON MACHINE LEARNING ALGORITHMS: FORECASTING CROP PRICES. -- Improving Student Stress Analysis: Novel Methods for Collecting, Preprocessing, and Fusing Features. -- Extraction of normal and abnormal region in Colposcopy image to support cervical cancer clinical decision. -- Optimizing Pricing Strategies: A Comprehensive Framework Using Bayesian Inference and Game Theory. -- Hybrid Ensemble Gradient Boosting Algorithm to Predict Diabetes Health Care Analytics. -- A Review on Machine Learning Algorithms for Real-Time Traffic Management. -- Hyperparameter-Tuned Intention Mining for Mental Health Diagnosis Using Logistic Regression -- Machine Learning for Accessible and Precise Assessment in Smart Monitoring Systems. -- An Efficient Model for Academic Performance Prediction of the University Students. -- Comprehensive Comparative Study on Data Mining and Machine Learning Approaches for fraud Detection in Financial Services. -- Prediction of Stock Price and Detection of Stock Market Trends using Adaptive Learning Techniques. -- Decentralized EHR Exchange in Healthcare: Enhancing Privacy and Security with Blockchain and Cryptographic Techniques. -- Detection and Analysis of Features of Optic Nerve Head using Retinal Fundus Images of an Eye for A priori Prediction of Glaucoma. -- A Hybrid Deep Learning Framework for Uncertain Supply Chains: An Optimization Approach. -- A Comprehensive Review of Machine Learning techniques in Recommender System for E-Commerce Platform. -- Ethics of AI in the Educational Sector - Navigating the Moral Landscape. -- Integrating Multimodal Data with Mathematical Models for Effective Fake News Classification. -- Breast Cancer Diagnosis: A Comprehensive Evaluation of Machine Learning Techniques. -- Applied ML Algorithms for Happiness Index Prediction of Nations. -- An Empirical Assessment of Credit Risk of Indian Companies Using Machine Learning Algorithms. -- An Efficient Intrusion Detection System Using Deep Learning Techniques. -- ENGAGING CORONARY HEART DISEASE PREDICTION (VEIN) THROUGH FEATURE U-NET IMPROVEMENT WITH ENSEMBLE LEARNING BASED HYBRID BAGGING AND BOOSTING TECHNIQUES. -- Leveraging Social Media Data to Improve Disaster Response and Recovery Efforts using Artificial Intelligence Techniques: A Comprehensive Review. -- International Law and AI Interface. -- Predicting Stock Price Movements with Recurrent Neural Networks: An LSTM-Based Approach. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Artificial intelligence - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-86299-1 |
| ISBN: |
9783031862991 |