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ORCID5th ICSPIS 2022: Dubai, UAE
- 5th International Conference on Signal Processing and Information Security, ICSPIS 2022, Dubai, United Arab Emirates, December 7-8, 2022. IEEE 2022, ISBN 978-1-6654-9265-2
- Abigail Copiaco, Husameldin Mukhtar, Leena El Neel, Tasnim Nazzal:
Identification of Robust Features for Classifying Spam and Ham Images using Transfer Learning. 1-4 - Kazumune Tanabe, Mitsuru Tada:
Aggregate message authentication codes for DAG structures. 5-10 - Amna-Saga Humidan, Lili Nurliyana Abdullah, Alfian Abdul Halin:
Detection of Compressed DeepFake Video Drawbacks and Technical Developments. 11-16 - Alavikunhu Panthakkan, Najiya Valappil, Majida Appathil, Seema Verma, Wathiq Mansoor, Hussain Al-Ahmad
:
Performance Comparison of Credit Card Fraud Detection System using Machine Learning. 17-21 - Debashis Das, Sourav Banerjee, Pushpita Chatterjee, Uttam Ghosh, Wathiq Mansoor, Utpal Biswas:
Design of an Automated Blockchain-Enabled Vehicle Data Management System. 22-25 - Leena El Neel, Abigail Copiaco, Walid Obaid, Husameldin Mukhtar:
Comparison of Feature Extraction and Classification Techniques of PE Malware. 26-31 - Riman Mandal, Manash Kumar Mondal, Sourav Banerjee, Pushpita Chatterjee, Wathiq Mansoor, Utpal Biswas:
PbV mSp: A priority-based VM selection policy for VM consolidation in green cloud computing. 32-37 - Maisam Wahbah, M. Sami Zitouni:
Magnetic and Piezoelectric Energy Harvesting for Autonomous Bionic Systems. 38-41 - Tamim M. Al-Hasan, Ahmed S. Shibeika, Usama Attique, Fayçal Bensaali, Yassine Himeur:
Smart Speed Camera Based on Automatic Number Plate Recognition for Residential Compounds and Institutions Inside Qatar. 42-45 - Abdullah Ajaz Siddiqui, Shahab Saquib Sohail, Qazi Areeb, Wathiq Mansoor, Md. Tabrez Nafis:
Classification of Cumin, Fennel and Carom Using Transfer Learning. 46-49 - Aya Nabil Sayed, Ridha Hamila, Yassine Himeur, Faycal Bensaali:
Employing Information Theoretic Metrics with Data-Driven Occupancy Detection Approaches: A Comparative Analysis. 50-54 - Rufus Rubin, Chinnu Jacob, Anzar S. M., Alavikunhu Panthakkan:
Mask R-CNN with Multi-Backbones - A Comparative Analysis. 55-60 - Seema Verma, Jitendra Pandey, Alavikunhu Panthakkan:
Data Analytics and Knowledge Management in a learning environment for Higher Education. 61-64 - Akanksha Bodhale, Seema Verma, Alavikunhu Panthakkan:
Comparative Analysis of Fine Tuned and Transfer Learning Model for Plant Disease Detection. 65-69 - Yuxi Zhang, Ali Al-Ataby, Fawzi M. Al-Naima:
A Deep Learning-Based Tool for Face Mask Detection and Body Temperature Measurement. 70-75 - Mina Al-Saad, Nour Aburaed, Saeed Al-Mansoori, Wathiq Mansoor, Hussain Al-Ahmad:
A Study on Deep Learning Approaches for Mars Weather Forecasting. 76-79 - Marco Repetto, Davide La Torre:
Federated Learning through Goal Programming: a Computational Study in Cancer Detection. 80-85 - Sricheta Parui, Debasis Samanta, Nishant Chakravorty, Wathiq Mansoor, Uttam Ghosh:
A Study on Seizure Detection Performance in an Automated Process by Extracting Entropy Features. 86-91 - M. Sami Zitouni, Maisam Wahbah:
Piezoelectric Energy Harvesting for Wearable and Implantable Devices. 92-96 - A P. Abhiram, Anzar S. M., Alavikunhu Panthakkan:
DeepSkinNet: A Deep Learning Model for Skin Cancer Detection. 97-102 - Narges Abbasi, Hamed Vahdat-Nejad, Wathiq Mansoor, Fatemeh Salmani:
Extracting Drug-Related Tweets in COVID-19 Pandemic. 103-106 - Sapna Tyagi, Preeti Sirohi, Piyush Maheshwari:
Predicting Cardiovascular Disease in Patients with Machine Learning and Feature Engineering Techniques. 107-112 - Vernon Louis, Piyush Maheshwari:
A Correlational Investigation of Personal Medical Data Safety and Blockchains. 113-118 - Shahad Elshehaby, Mina Al-Saad, Alavikunhu Panthakkan, Hussain Al-Ahmad:
Cuneiform Symbols Identification System using Correlation Technique. 119-122 - Boshra Alshujaa, Fatima AlNuaimi, Wathiq Mansoor, Shadi Atalla:
Comparison of Food Calorie Measurement Using Image Processing and Machine Learning Techniques. 123-128 - Abdulla Al Marri, Bakhit Bin Jarn, Wathiq Mansoor, Shadi Atalla, Sami Miniaoui:
Measuring Employee Productivity Through Copresence Using RFID Within the Workplace. 129-133 - Tomasz Maniak, Rahat Iqbal, Zoran Vujicic, Charalampos Karyotis, Nikos I. Passas, Faiyaz Doctor:
Deep Neural Networks for Transmission Impairment Mitigation in Long-Reach 5G Access Networks. 134-137 - Hafsa Bousbiat, Christoph Klemenjak, Yassine Himeur, Wilfried Elmenreich, Abbes Amira, Wathiq Mansoor, Shadi Atalla:
Neural NILM Learning Paradigms: From Centralised to Decentralised Learning. 138-142 - David Chuong, Zachary Poole, Webert Montlouis:
Range Estimation of Radar Targets Using a Temporal Convolutional Network. 143-147 - Luay Yassin Taha, Esam Abdel-Raheem:
Blind Source Separation: A Performance Review Approach. 148-153 - Marwa Chendeb El Rai, Sabina Abdul Hadi, Haitham Abu Damis, Amjad Gawanmeh:
Prediction of Electric Vehicle Charging Stations Distribution Using Machine Learning. 154-157 - Hamza Kheddar, Yassine Himeur, Shadi Atalla, Wathiq Mansoor:
An Efficient Model for Horizontal Slicing in 5G Network using Practical Simulations. 158-163 - Aisha Almaazmi, Elham Karmastaji, Shadi Atalla, Hamzah Ali Alkhazaleh, Wathiq Mansoor:
Learning Analytics and Machine Learning. 164-168 - Shadi Atalla, Yassine Himeur, Wathiq Mansoor, Abbes Amira, Fodil Fadli, Abigail Copiaco, Shahab Saquib Sohail:
Recommendation System Towards Residential Energy Saving Based on Anomaly Detection. 169-174 - Maurice Ntahobari, Levin Kuhlmann, Mario Boley, Zhinoos Razavi Hesabi:
Enhanced Extra Trees Classifier for Epileptic Seizure Prediction. 175-179 - Yassine Himeur, Fodil Fadli, Abbes Amira:
A Two-Stage Energy Anomaly Detection for Edge-based Building Internet of Things (BIoT) Applications. 180-185 - Marco Repetto, Davide La Torre:
Breast Cancer Detection and Prediction using Federated Multicriteria Machine Learning. 1-4
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