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ORCIDICT-DM 2024: Setif, Algeria
- International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2024, Setif, Algeria, November 19-21, 2024. IEEE 2024, ISBN 979-8-3503-6792-8
- Selma Amrani, Khedidja Medani, Chirihane Gherbi
:
Secure SDN-based IoT Networks for Drought Management: Mitigating DDoS Attacks with Machine Learning. 1-6 - Abdelmaoula Bouaza, Massinissa Belazzoug, Idris Messaoudene, Rachida Touhami, Abdul Jabbar, Masood Ur-Rehman, Smail Tedjini, Naeem Ramzan:
Quad-Band Millimeter Wave monopole MIMO Antenna Loaded With a Defected Ground Plane For 5G Applications. 1-5 - Nian Ding, Celimuge Wu, Yangfei Lin, Zhaoyang Du, Wugedele Bao, Ha Si:
Intelligent Handover Triggering Mechanism in Wi-Fi Networks via Adaptation-based Reinforcement Learning. 1-7 - P. A. Dinopoulos, Christos Papaioannidis, Matthaios Dimitrios Tzimas, Ioannis Pitas:
Forest Fire Segmentation Metrics and Algorithms. 1-6 - Damian Wlodarczyk, Takfarinas Saber:
Assessing Potential of UAV-Based Increase in Urban Disasters Communication on Traffic Congestion Mitigation. 1-7 - Skander Hamdi, Abdelouahab Moussaoui, Mafaza Chabane, Ayoub Laouarem, Mohamed Berrimi, Mourad Oussalah:
SECA-Net: A Lightweight Spatial and Efficient Channel Attention for Enhanced Natural Disaster Recognition. 1-7 - Boubakeur Annane, Abderrahim Lakehal, Adel Alti:
Secured Forest Fire Prediction Using Blockchain and CNN Transformers. 1-7 - Yutaka Morino, Mitsunori Matsushita, Hiroyuki Fujishiro:
Vocabulary cross-contamination between entertainment content and disaster-related social media posts. 1-6 - Adil Chekati, Meriem Riahi, Faouzi Moussa:
Flood Disaster Management using SADM-SmartObject: An Agent-Based IoT Framework for Sensing, Data Classification, and Decision Making. 1-7 - Sujoy Das, Sadia Sharmin, Md. Saidur Rahman:
Reducing Systemic Risks in Humanitarian Aid Work with Guided Network Topology. 1-7 - Tyanita Puti Marindah Wardhani, Subhajyoti Samaddar, Hirokazu Tatano, Zulkifli Tahir, Sudip Roy:
Assessment of Post-Disaster Concerns using Social Network Analysis and Machine Learning: A Study of 2018 Palu Disaster. 1-7 - Tahar Mehenni, Hadil Bouti, Fatma Zohra Zerrouak:
Leveraging machine learning models for food security and crisis management in Algeria. 1-5 - Alex Piccioni, Andrea Marotta, Piergiuseppe Di Marco, Fabio Graziosi:
Performance Evaluation of Multi-Connectivity for Massive-URLLC in Emergency Scenarios. 1-5 - Mohand Yazid Saidi:
On End-to-End Protection of Service Function Chain. 1-7 - Raid Boudi, Mohammed Lalou, Nardjes Bouchemal:
On the Controller Placement Problem: a New SD-IoT Topology for the Algerian Network. 1-7 - Colin Wilcox, Kristopher Welsh, Soufiene Djahel, Nicholas Costen, Vasileios Giagos:
Towards a Zero Trust Based Hybrid Access Control Model for Medical Data. 1-7 - Celia Khelfa, Habiba Drias, Ilyes Khennak:
Multi-objective SMA for Medical Supply Delivery Using Drones and Generative AI in Post-disasters. 1-7 - Aristidis Pavlidis, Christos Papaioannidis, Ioannis Pitas:
Flooded house detection for natural disaster managment. 1-6 - Chahrazed Benrebbouh, Houssem Mansouri, Sarra Cherbal, Soufiene Djahel, Djihad Arrar:
An Explainable CNN-based Intrusion Detection System for Enhanced Smart Grid Security. 1-7 - Achour Achroufene, Baya Ait Moula:
Flood prediction based on the fuzzy subset data fusion approach. 1-7 - Liang Zhao, Zihang Gao, Ammar Hawbani, Wei Zhao, Chaojin Mao, Na Lin:
Fuzzy-MADDPG based Multi-UAV Cooperative Search in Network-limited Environments. 1-7 - Naila Aziza Houacine, Celia Khelfa, Habiba Drias, Chaima Allaf, Aya Boutkedjirt:
Holistic Modeling and Multi-Objective Optimization of Emergency Ambulance Dispatching. 1-7 - Weihong Ma, Hongxue Chen, Zhicheng Huang, Xiaoya Hu, Qiao Li, Zonghua Zhang, Ping Wang:
On Achieving Cyber Resilience in Digitalized Rail Transit Control Systems. 1-7 - Iyad Chehili, Skander Hamdi:
Precision Diagnosis in Pandemics: Machine Learning and Cough Sound Analysis for COVID-19. 1-7 - Zhiping Yi, Qi Wang, Ziji Ma, Xun Shao:
Multi-dimensional Visual Fusion: Open-Pit Mine Safety Video Summarization Approach Based on Attention Mechanism and Dynamic Feature Fusion. 1-7 - Rafik Zerroug, Zibouda Aliouat, Adel Alti:
Managing Congestions at Multiple Intersections During Disasters with Chronological Coordination of Intelligent Traffic Light Management. 1-7 - Yupeng Wang, Jinbo He, Haiyong Shi, Weizhen Han, Bingyi Liu:
Towards Efficient Task Offloading in Disaster Areas: a Constrained RL-based Approach. 1-7 - Sundos Nasser Said Al Subhi, Chetan Tiwari, Armin R. Mikler:
Automating Hazard-Specific Ontology Construction: Methodological Advancements through Ontology Learning Techniques from Disaster-Related Knowledge Bases. 1-7 - Jordan Morrow, Maciej Zawodniok:
Evaluation of the Human-Robot-Interaction Dynamic Under Mental Fatigue Constraints In Search and Rescue Operations. 1-7 - Malika Noui, Abdelaziz Lakhfif, Mohamed Amin Laouadi:
Towards Useful Event Detection and Sentiment Analysis of OSN for Disaster Management. 1-7 - Hafida Chellakh, Abdelouahab Moussaoui, Abdelouahab Attia:
Improved Binarized Statistical Image Features for MRI Brain Tumor Identification and Classification. 1-7 - Meriem Sellami, Ramzi Hadrouk, Sofiane Chelghoum, Ramzi Badache, Nadjet Kamel, Abdelaziz Lakhfif:
Multitask Fake News Detection in Arabic Language using AraELECTRA model: COVID-19 Case Study. 1-7 - Abdessalam Mohammed Hadjkouider, Yesin Sahraoui, Chaker Abdelaziz Kerrache:
Enhancing Forest Fire Detection and Emergency Response Using Crowdsourcing and Smartphone Sensors. 1-4 - Shoufeng Wang, Ye Ouyang, Fan Li, Xuan Chen, Lexi Xu, Jianchao Guo, Zhongke Zhang, Lianhua Zhang, Sen Bian, Xidong Wang, Zhidong Ren, Rongxing He:
Telecom Intelligent Connection and Capability Orchestration for Disaster Response and Recovery. 1-6 - Djihad Arrar, Nadjet Kamel, Allaoua Refoufi:
Implicit Sentiment Analysis of Hotel Comments for Disaster Management: A Comparative Study of Machine Learning, Deep Learning, and BERT Model. 1-7 - Achour Achroufene, Lynda Raid, Manel Tazibet:
Enhancing Face Detection: A Dual Model Approach with Modified VGG16 Layer. 1-7 - Hamza Boudaoud, Thamazgha Irnatene, Hayet Zerrouki, Zouina Doukha, Samira Moussaoui, Chahrazed Dib:
VEMD: A V2V-based emergency message dissemination scheme for IoV. 1-5 - Rachida Hireche, Houssem Mansouri, Yasmine Harbi, Al-Sakib Khan Pathan:
Robust Group Authentication Using Quantum Cryptography and Smart Contract for IoMT. 1-7 - Mafaza Chabane, Fouzi Harrag, Khaled Shaalan:
Beyond Deep Learning: A Two-Stage Approach to Classifying Disaster Events and Needs. 1-7 - Madjda Akacha, Abdelhalim Khenchouche, Imene Zenbout, Mounira Amrane:
Deep learning in managing SARS-CoV-2 pandemic, variant prediction and driver mutation identification: Case study in Setif, Algeria. 1-7 - Ouissem Touameur, Fouzi Harrag, Ladjel Bellatreche:
Trust-Aware Disaster Image Classification using Monte Carlo Dropout Integrated with Graph Convolutional Networks and Deep Feature Extraction. 1-7 - Rafika Saadouni, Amina Khacha, Chirihane Gherbi, Yasmine Harbi, Zibouda Aliouat, Saad Harous:
Fine-tuning CNN for Enhanced Security in WSN-Based Forest Fire Detection. 1-7
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