Comparative Study of Forecasting Schemes for IoT Device Traffic in Machine-to-Machine Communication. - Mert Nakip; Baran Can Gül; Volkan Rodoplu; Cüneyt Güzelis (CCIOT, 2019)

Multi-Channel Joint Forecasting-Scheduling for the Internet of Things. - Volkan Rodoplu; Mert Nakip; Roozbeh Qorbanian; Deniz Türsel Eliiyi (IEEE Access, 2020)

Curse of Small Sample Size in Forecasting of the Active Cases in COVID-19 Outbreak. - Mert Nakip; Onur Çopur; Cüneyt Güzelis (CoRR, 2020)

A Multiscale Algorithm for Joint Forecasting-Scheduling to Solve the Massive Access Problem of IoT. - Volkan Rodoplu; Mert Nakip; Deniz Türsel Eliiyi; Cüneyt Güzelis (IEEE Internet Things J., 2020)

Dynamic Positioning Interval Based On Reciprocal Forecasting Error (DPI-RFE) Algorithm for Energy-Efficient Mobile IoT Indoor Positioning. - Alper Saylam; Nur Kelesoglu; Rifat Orhan Çikmazel; Mert Nakip; Volkan Rodoplu (CITS, 2021)

MIRAI Botnet Attack Detection with Auto-Associative Dense Random Neural Network. - Mert Nakip; Erol Gelenbe (GLOBECOM, 2021)

Diffusion Analysis Improves Scalability of IoT Networks to Mitigate the Massive Access Problem. - Erol Gelenbe; Mert Nakip; Dariusz Marek; Tadeusz Czachórski (MASCOTS, 2021)

Multi-Layer Perceptron Decomposition Architecture for Mobile IoT Indoor Positioning. - Erdem Çakan; Aral Sahin; Mert Nakip; Volkan Rodoplu (WF-IoT, 2021)

Randomization of Data Generation Times Improves Performance of Predictive IoT Networks. - Mert Nakip; Erol Gelenbe (WF-IoT, 2021)

Subspace-Based Emulation of the Relationship Between Forecasting Error and Network Performance in Joint Forecasting-Scheduling for the Internet of Things. - Mert Nakip; Alperen Helva; Cüneyt Güzelis; Volkan Rodoplu (WF-IoT, 2021)

Recurrent Trend Predictive Neural Network for Multi-Sensor Fire Detection. - Mert Nakip; Cüneyt Güzelis; Osman Yildiz (IEEE Access, 2021)

An End-to-End Trainable Feature Selection-Forecasting Architecture Targeted at the Internet of Things. - Mert Nakip; Kubilay Karakayali; Cüneyt Güzelis; Volkan Rodoplu (IEEE Access, 2021)

The IoTAC Software Security-by-Design Platform: Concept, Challenges, and Preliminary Overview. - Miltiadis G. Siavvas; Erol Gelenbe; Dimitrios Tsoukalas; Ilias Kalouptsoglou; Maria Mathioudaki; Mert Nakip; Dionisis D. Kehagias; Dimitrios Tzovaras (DRCN, 2022)

Engagement Detection with Multi-Task Training in E-Learning Environments. - Onur Çopur; Mert Nakip; Simone Scardapane; Jürgen Slowack (ICIAP (3), 2022)

G-Networks Can Detect Different Types of Cyberattacks. - Erol Gelenbe; Mert Nakip (MASCOTS, 2022)

Traffic Based Sequential Learning During Botnet Attacks to Identify Compromised IoT Devices. - Erol Gelenbe; Mert Nakip (IEEE Access, 2022)

Predictability of Internet of Things Traffic at the Medium Access Control Layer Against Information-Theoretic Bounds. - Mert Nakip; Baran Can Gül; Volkan Rodoplu; Cüneyt Güzelis (IEEE Access, 2022)

Dynamic Automatic Forecaster Selection via Artificial Neural Network Based Emulation to Enable Massive Access for the Internet of Things. - Mert Nakip; Erdem Çakan; Volkan Rodoplu; Cüneyt Güzelis (J. Netw. Comput. Appl., 2022)

Multi-Channel Subset Iteration with Minimal Loss in Available Capacity (MC-SIMLAC) Algorithm for Joint Forecasting-Scheduling in the Internet of Things. - Arif Kerem Dayi; Volkan Rodoplu; Mert Nakip; Buse Pehlivan; Cüneyt Güzelis (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2022)

Improving Massive Access to IoT Gateways. - Erol Gelenbe; Mert Nakip; Tadeusz Czachórski (Perform. Evaluation, 2022)

Real-Time Cyberattack Detection with Offline and Online Learning. - Erol Gelenbe; Mert Nakip (LANMAN, 2023)

Measurement Based Evaluation and Mitigation of Flood Attacks on a LAN Test-Bed. - Mohammed Nasereddin; Mert Nakip; Erol Gelenbe (LCN, 2023)

Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection. - Mert Nakip; Baran Can Gül; Erol Gelenbe (MASCOTS, 2023)

IoT Network Cybersecurity Assessment With the Associated Random Neural Network. - Erol Gelenbe; Mert Nakip (IEEE Access, 2023)

Associated Random Neural Networks for Collective Classification of Nodes in Botnet Attacks. - Erol Gelenbe; Mert Nakip (CoRR, 2023)

Online Self-Supervised Learning in Machine Learning Intrusion Detection for the Internet of Things. - Mert Nakip; Erol Gelenbe (CoRR, 2023)

Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network. - Mert Nakip; Onur Çopur; Emrah Biyik; Cüneyt Güzelis (CoRR, 2023)

An Associated Random Neural Network Detects Intrusions and Estimates Attack Graphs. - Mert Nakip; Erol Gelenbe (MASCOTS, 2024)

Deep Learning Intrusion Detection and Mitigation of DoS Attacks. - Mohammed Nasereddin; Mert Nakip; Erol Gelenbe (MASCOTS, 2024)

Multi-Sensor E-Nose Based on Online Transfer Learning Trend Predictive Neural Network. - Pervin Bulucu; Mert Nakip; Cüneyt Güzelis (IEEE Access, 2024)

Fire detection and risk assessment via Support Vector Regression with Flattening-Samples Based Augmented Regularization. - Mert Nakip; Nur Kelesoglu; Cüneyt Güzelis (Appl. Soft Comput., 2024)

System-wide vulnerability of multi-component software. - Erol Gelenbe; Mert Nakip; Miltiadis G. Siavvas (Comput. Ind. Eng., 2024)

DISFIDA: Distributed Self-Supervised Federated Intrusion Detection Algorithm with online learning for health Internet of Things and Internet of Vehicles. - Erol Gelenbe; Baran Can Gül; Mert Nakip (Internet Things, 2024)

Online Self-Supervised Deep Learning for Intrusion Detection Systems. - Mert Nakip; Erol Gelenbe (IEEE Trans. Inf. Forensics Secur., 2024)

System Wide Vulnerability and Trust in Multi-Component Communication System Software. - Erol Gelenbe; Mert Nakip; Miltiadis G. Siavvas (IEEE Netw., 2025)