1 option
New trends in information and communications technology applications 9th International Conference, NTICT 2025, Karbala, Iraq, December 17-18, 2025 proceedings Abbas M. Al-Bakry, Mouayad Sahib, Jaafar A. Aldhaibani, Ali N. Al-Shuwaili, editors
Springer Nature - Springer Computer Science eBooks 2026 English International Available online
View online- Format:
- Book
- Conference/Event
- Conference Name:
- International Conference on New Trends in Information and Communications Technology Applications (9th : 2025 : Karbalāʼ, Iraq)
- Series:
- Communications in computer and information science ; 2942.
- Communications in computer and information science 1865-0937 2942
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Artificial Intelligence.
- artificial intelligence.
- Computer networks.
- Medical Subjects:
- Artificial Intelligence.
- Genre:
- proceedings (reports)
- Conference papers and proceedings
- Conference papers and proceedings.
- Physical Description:
- 1 online resource
- Place of Publication:
- Cham, Switzerland Springer [2026]
- Summary:
- "This book constitutes the referred proceedings of the 9th International Conference on New Trends in Information and Communications Technology Applications, NTICT 2025, held in Karbala, Iraq, during December 17–18, 2025. The 35 full papers included in this book were carefully reviewed and selected from 87 submissions. They were organized in topical sections as follows: AI and Machine Learning; AI-driven Cybersecurity; Evolutionary Computing for Intelligent Systems; and Intelligent and Secure Communication Networks"-- Springer Nature Link
- Contents:
- Public service quality assessment in smart applications through SVM-based sentiment analysis / Nur Rachman Dzakiyullah, Abdulsatar Abduljabbar Sultan, Akbar Nur Rizqi, Shakila Amalia Pratiwi, Mutiara Puspita Maharani, and Asti Ratnasari
- Abnormal speech restoration of speech impairments in an individual using deep learning / Osama Ali Mohammed and Noor D. AL-Shakarchy
- Facial expressions generating using encoder-guided DCGAN with identity variation / Sabreen Ghanim and Ashwan A. Abdulmunem
- Active learning strategies for Arabic sentiment analysis using bidirectional long short-term memory (BiLSTM) / Noor A. Rashak and Dhamyaa A. Nasrawi
- Deep learning architectures for ancient textual heritage : a systematic review with explainability focus / Teba Mustafa Bahya and Farah Abbas Obaid
- Advances in deep learning for drug-target interaction prediction : a systematic and comprehensive review / Nuha Husham Alhadethy, Asaad Noori Hashim, and Sura Zaki Al-Rashid
- A hybrid CNN-transformer multi-task network for liver lesion segmentation and classification in ultrasound imaging / Bakht Zada, Yar Muhammad, Asmat Ullah, Muhammad Khalid, and Abid Yahya
- Integration of fuzzy system with convolutional neural networks and bidirectional long short-term memory for earthquake prediction / Mohammed A. Jaleel and Suhad M. Kadhem
- A comprehensive survey on embedded deep learning algorithms for smart IoT monitoring systems / Weam Saadi Alalwani and Ali Fahim
- Deep neural network-driven electromagnetic optimization of PMSG for high-efficiency power generation / Zaher Fadhil Raham, Sarmad Jasim Hasan, and Hussein Thamer Salloom
- Modeling Iraqi diabetes data dynamics for enhanced prediction of diabetes mellitus via advanced machine learning techniques / Dhualfqar Yaseen Jasem and Raheem Ogla
- MSAD-Swin UNETR : a hybrid transformer-CNN model with multiscale attention decoder for accurate 3D medical image segmentation / Zainab Adnan Jwad and Israa Hadi Ali
- Enhancing early autism diagnosis using a two-stage multimodal deep learning approach / Ekraam Jabier, Ali Fadhil Marhoon, and Ammar A. Aldair
- Optimizing wireless multimedia sensor network (WMSN) coverage using an enhanced multi-objective salp swarm algorithm / Mohammed Adnan Saihood, Hamid Ali Abed AL-Asadi, Maithem Mohammed Ali Abdullah, Ali Amjed Ali AL-Asadi, and N. A. MAhmad Hambali
- Ensemble deep learning for OMR-based MCQ grading / Eman R. Ali and Narjis M. Shati
- A modular adaptive Markov approach for real-time forecasting of nonlinear dynamic systems with limited data / Mohanad Sarem Al-Mothafar, Alyaa Abdulhussein Al-Joda, and Hawraa H. Abbas
- Improving cross-project software defect prediction using a deep network-based framework / Nabeel Fareed Hameed Al-Hindawi and Keyvan Mohebbi
- Empowering STEM teachers through AI-integrated biodiversity education / Sanura Jaya, Qusay Shihab Hamad, Mohammad Alomari, and Rozniza Zaharudin
- Directional node-wise graph attention with threshold policies for link prediction / Sura I. Mohammed Ali and Sura Zaki Alrashid
- Deep learning for financial fraud detection : a real-time anomaly detection system / Ansam Ali Abdulameer, Ahmed Salih Al-Obaidi, Ghaith J. Mohammed, Massila Kamalrudin, and Mustafa Musa
- Federated intelligence-driven intrusion detection for secure IoT communications / S. Sindhura, Ruwaida M. Yas, Mustafa Musa, V. S. N. Murthy, Bagadi Gowrisankara Rao, and V. Esther Jyothi
- A confidentiality-preserving deep learning approach with homomorphic encryption for cloud security / S. Sindhura, Ruwaida M. Yas, Mustafa Musa, Bharathi Panduri, M. Jeevana Sujitha, and Ruhisulthana Shaik
- Machine learning for Internet of Medical Things (IoMT) security in 5G and beyond : a critical review / Brian Sadock, Abid Yahya, Action Nechibvute, and Harry D. Mafukidze
- Large language models and hybrid prompt engineering for emotional text steganography based on cloud / Ameer Kadhim Hadi
- CardioSight-XAI : multiclass ECG beat classification with multi-method explainable AI for enhanced diagnostic trust / Mubashir Farooq and Asif Ali Banka
- Design an Internet of Things intrusion detection system based on hybrid data balancing and feature selection / Zahraa F. R. Khilkhali and Nada Hussein M. Ali
- Fusing spectral intelligence with GeoAI : machine learning and evolutionary computing for sustainable soil monitoring / Haider M. Al-Juboori, Syed Zuhaib Haider Rizvi, Muhammad Sufi Roslan, Josephine Ying Chyi Liew, and Anis Salwa Mohd Khairuddin
- Optimization driven high-speed execution of complex algorithms based on dual-core soft processor / Mustafa Aljshamee, Ali Reyadh, and Peter Luksch
- Importance of cybersecurity : human surgeons vs. robotic surgeons / Laiba Hamid, Imran Riaz, Qusay Shihab Hamad, Usman Mussadiq, Ashfaq Ahmed, and Muhammad Raees
- Development of a smart fish farming monitoring system using a low-code Internet of Things (LC-IoT) software platform / Hilal A. Fadhil, Qusay Shihab Hamad, Mohammed S. Al-Qatiti, Yassir Z. Al-Sanani, Asral Bahari Jambek, Alhamza Munther, and Hussein A. Mohammed
- Localization and energy efficiency optimization in Internet of Underwater Things using quantum aware and 6G integration / Altaf Hussain, Shuaiyong Li, Muhammad Khalid, Gul Zaman Khan, Yar Muhammad, and Abid Yahya
- Chaos-hash-trivium block permutation for image encryption / Taif Alobaidi
- Object detection in agricultural imagery : YOLOv5 optimization through color-space enhancement / Istiyak Mudassir Shaikh, Qusay Shihab Hamad, Mohammad Nishat Akhtar, Elmi Abu Bakar, Abdul Aabid, R. Rajendran, and Omar Shabbir Ahmed
- Swin transformer-based adaptive framework for radiogenomic prediction of MGMT promoter methylation in glioblastoma / Qutaiba Humadi Mohammed, Anupama Namburu, and Satya Sai Teja Modalavalasa
- Explainable AI-driven intrusion detection system for securing industrial IoT networks / Nasir Hussain, Shuaiyong Li, Altaf Hussain, Muhammad Khalid, Gul Zaman Khan, Yar Muhammad, and Abid Yahya
- Notes:
- Includes bibliographical references and index
- Online resource; title from PDF title page (Springer Nature Link, viewed August 14, 2026)
- Other Format:
- Print version International Conference on New Trends in Information and Communications Technology Applications (9th : 2025 : Karbalāʼ, Iraq) New trends in information and communications technology applications
- ISBN:
- 9783032255686
- 3032255686
- OCLC:
- 1611153646
- Access Restriction:
- Restricted for use by site license
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.