Proceedings of Fifth Emerging Trends and Technologies on Intelligent Systems : ETTIS 2025, Volume 2 / edited by Emil Pricop, Kriti Saroha, Abhijit Sen, Gaurav Trivedi, Kalpana Johari.

Format:

Book

Author/Creator:

Pricop, Emil.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 1591

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Telecommunication.

Computational Intelligence.

Artificial Intelligence.

Communications Engineering, Networks.

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Communications Engineering, Networks.

Physical Description:

1 online resource (478 pages)

Edition:

1st ed. 2026.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2026.

Summary:

This book presents best-selected papers presented at the 5th International Conference on Emerging Trends and Technologies on Intelligent Systems (ETTIS 2025) held from 19 - 21 March 2025 in hybrid mode at C-DAC, Noida, India. The book includes current research works in the areas of artificial intelligence, big data, cyber-physical systems, and security in industrial/real-world settings. The book illustrates on-going research results, projects, surveying works, and industrial experiences that describe significant advances in all of the related areas.

Contents:

Quantifying Security Events in IoT

Integrating Evolutionary Computing for Enhanced Earthquake Risk Assessment

Cyber Resilience for Containerized Workloads A NIST Based Approach to Incident Management and Recovery

The Rotary Feeding Hopper for the Fresh Chili Destemming System

An Efficient Ensemble Strategy for Acute Lymphoblastic Leukemia Classification

Virtual Sensing for Crop Safety from Animals

Radiology Images to Text Synthesis Using Multimodal Large Language Models for Generating Clinical Summaries

A Machine Learning Approach to Detecting Phishing Attacks Using LLM Based Embeddings

SECCODEPLT A Unified Evaluation Platform for Code GenAI Security Risks

Methods for Reconnaissance and Elimination of Malicious Worms in Multiple Unobservable Regions Using Path Specified Worms

Deepfake Detection for Images

Deep Learning Driven MRI Stratification for Intracranial Tumor Subtype Resolution

Balancing Positivity Predicting the Influence of Toxic Positivity in Communication

Leveraging Large Language Models for Mental Health Diagnostics

Disaster Management in the Digital Era: A Survey on the Integration of AI and UAVs in Disaster Response and Recovery

Advances in Medical Image Classification Using Quantum Machine Learning: A Survey

A Dual Model Approach Utilizing Convolutional Autoencoders and Deep Neural Networks for Lung Cancer Detection

Flying High on Sustainability: A Global Analysis of Airport SDG Alignment and AI-Driven Innovations

Boosting Breast Cancer Classification in Histopathological Images Through Federated Learning Techniques

Statistical Analysis Based Performance Evaluation of Secured Workflow Allocation Model in Cloud Environment

Exploring Security Vulnerabilities in Leading Large Language Models: A Comparative Study

Enhancing Visual Simultaneous Localization and Mapping (VSLAM) Robustness in Dynamic Environments

Dynamic Query Vision Transformers and Hierarchical Latent Compression: Advancing Real Time Surveillance systems

Quishing a review of QR code attacks and a framework design for safe scanning

Integrating XAI with Optimized CNNs: A Novel Approach for Imbalanced Alzheimer’s Disease Classification

Boosting Job Matching Accuracy Implementing Content-Based Filtering in Job Applicant Recommendation Systems

Quantum Computing for Graph Optimization: An Approach to the Shortest Path Problem.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

981-9506-81-6

9789819506811

OCLC:

1572092570