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Second International Conference on Emerging Technology Trends in Internet of Things and Computing / Panos Liatsis [and three others].

AIP Conference Proceedings (American Institute of Physics) Available online

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Format:
Book
Author/Creator:
Liatsis, Panos, author.
Language:
English
Subjects (All):
Artificial intelligence--Congresses.
Artificial intelligence.
Physical Description:
1 online resource (XV, 382 pages)
Place of Publication:
Melville, New York : AIP Publishing, 2023.
Summary:
This volume constitutes selected papers presented at the First International Conference on Emerging Technology Trends in IoT and Computing, TIOTC 2021, held in Erbil, Iraq, in June 2021. The 26 full papers were thoroughly reviewed and selected from 182 submissions. The papers are organized in the following topical sections: Internet of Things (IOT): services and applications; Internet of Things (IOT) in healthcare industry; IOT in networks, communications and distributed computing; real world application fields in information science and technology.
Contents:
Internet of Things (IOT): Services and Applications
An Intelligent Flood Alert System Using LoRa on Basis of Internet of Things
Al Mohi Nur, Azana Hafizah Mohd Aman, Rosilah Hassan, Taj-Aldeen Naser Abdali, Zainab S. Attarbashi, Aisha Hassan Abdalla Hashim
AGRIBOT: Energetic Agricultural Field Monitoring Robot Based on IoT Enabled Artificial Intelligence Logic
Ganesh Babu Loganathan, Qaysar Salih Mahdi, Idris Hadi Saleh, Mohammad Mustafa Othman
Proof of Good Service Based on DAGs-To-Blockchain for IoT Applications
Istabraq M. Al-Joboury, Emad H. Al-Hemiary
A Lightweight Algorithm to Protect the Web of Things in IOT
Muthana S. Mahdi, Zaydon L. Ali
IoT Intrusion Detection Using Modified Random Forest Based on Double Feature Selection Methods
Adil Yousef Hussein, Paolo Falcarin, Ahmed T. Sadiq
Network-Based Method for Dynamic Burden-Sharing in the Internet of Things (IoT)
Basim Mahmood, Yasir Mahmood
Internet of Things (IOT) in Healthcare Industry
Download chapter PDF
Toward on Develop a Framework for Diagnosing Novel-COVID-19 Symptoms Using Decision Support Methods
Qahtan M. Yas, Ghazwan K. Ouda
Brain Tumours Classification Using Support Vector Machines Based on Feature Selection by Binary Cat Swarm Optimization
Wid Ali Hassan, Yossra Hussain Ali, Nuha Jameel Ibrahim
Early Depression Detection Using Electroencephalogram Signal
Hasnisha Ladeheng, Khairul Azami Sidek
Automated Diagnosis of the Top Spread Infectious Diseases in Iraq Using SVM Technique
Hayder Hussein Thary, Duraid Y. Mohammed, Khamis A. Zidan
Cardiac Arrhythmia Diagnosis via Multichannel Independent Component Analysis: An Approach Towards a Better Health Care System
Mohammad Sarfraz, Mudassir Hasan Khan, Duraid Yahya Mohammed, Mays Dheya Hussain, Khamis A. Zidan
The Efficiency of Classification Techniques in Predicting Anemia Among Children: A Comparative Study
Qusay Saihood, Emrullah Sonuç
Automated Brain Tumor Segmentation and Classification Through MRI Images
Sahar Gull, Shahzad Akbar, Syed Ale Hassan, Amjad Rehman, Tariq Sadad
Eye Gaze Based Model for Anxiety Detection of Engineering Students
Khafidurrohman Agustianto, Hendra Yufit Riskiawan, Dwi Putro Sarwo Setyohadi, I. Gede Wiryawan, Andi Besse Firdausiah Mansur, Ahmad Hoirul Basori
IOT in Networks, Communications and Distributed Computing
Integration Femtocells Based on Hybrid Beamforming with Existing LTE Macro-cell for Improving Throughput Towards 5G Networks
Mohammed K. Hussein, Nasser N. Khamiss
Performance Evaluation of CoAP and MQTT_SN Protocols
Rahaf A. Al-Qassab, Mohammed I. Aal-Nouman.
Notes:
Description based on publisher supplied metadata and other sources.

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