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