Web kullanıcı erişim kütüklerinden bilgi çıkarımı (Knowledge extraction from Web user access logs) - Resul Das (2008)

Diagnosis of valvular heart disease through neural networks ensembles. - Resul Das; Ibrahim Türkoglu; Abdulkadir Sengür (Comput. Methods Programs Biomed., 2009)

Creating meaningful data from web logs for improving the impressiveness of a website by using path analysis method. - Resul Das; Ibrahim Türkoglu (Expert Syst. Appl., 2009)

Effective diagnosis of heart disease through neural networks ensembles. - Resul Das; Ibrahim Türkoglu; Abdulkadir Sengür (Expert Syst. Appl., 2009)

A comparison of multiple classification methods for diagnosis of Parkinson disease. - Resul Das (Expert Syst. Appl., 2010)

Evaluation of ensemble methods for diagnosing of valvular heart disease. - Resul Das; Abdulkadir Sengür (Expert Syst. Appl., 2010)

Integrated Smart Home Services and Smart Wearable Technology for the Disabled and Elderly. - Ayse Tuna; Resul Das; Gurkan Tuna (DATA, 2015)

Common network attack types and defense mechanisms. - Resul Das; Abubakar Karabade; Gurkan Tuna (SIU, 2015)

Analysis of attack types on TCP/IP based networks via exploiting protocols. - Ismail Karadogan; Resul Das (SIU, 2015)

Performance analysis of classification algorithms on early detection of liver disease. - Moloud Abdar; Mariam Zomorodi Moghadam; Resul Das; I-Hsien Ting (Expert Syst. Appl., 2017)

A novel honeypot based security approach for real-time intrusion detection and prevention systems. - Muhammet Baykara; Resul Das (J. Inf. Secur. Appl., 2018)

InterOpT: A new testing platform based on oneM2M standards for IoT systems. - Senay Tuna Demirel; Mehmet Demirel; Ibrahim Dogru; Resul Das (ISNCC, 2019)

A novel approach to steganography: enhanced least significant bit substitution algorithm integrated with self-determining encryption feature. - Resul Das; Muhammet Baykara; Gurkan Tuna (Comput. Syst. Sci. Eng., 2019)

SoftSwitch: a centralized honeypot-based security approach usingsoftware-defined switching for secure management of VLAN networks. - Muhammet Baykara; Resul Das (Turkish J. Electr. Eng. Comput. Sci., 2019)

Corrigendum to "Performance Analysis of Classification Algorithms on early detection of Liver disease" [Expert Systems with Applications Volume 67 (2017) 239-251]. - Moloud Abdar; Mariam Zomorodi Moghadam; Resul Das; I-Hsien Ting (Expert Syst. Appl., 2019)

Analysis of Feature Selection Approaches in Large Scale Cyber Intelligence Data with Deep Learning. - Hüseyin Ahmetoglu; Resul Das (SIU, 2020)

Cyber-security on smart grid: Threats and potential solutions. - Muhammed Zekeriya Gunduz; Resul Das (Comput. Networks, 2020)

A comprehensive review on detection of cyber-attacks: Data sets, methods, challenges, and future research directions. - Hüseyin Ahmetoglu; Resul Das (Internet Things, 2022)

Layered management approach to cyber security of IoT solutions. - Erdal Özdogan; Resul Das (Int. J. Grid Util. Comput., 2023)

A key review on security and privacy of big data: issues, challenges, and future research directions. - Doygun Demirol; Resul Das; Davut Hanbay (Signal Image Video Process., 2023)

A new approach to recognizing the use of attitude markers by authors of academic journal articles. - Mucahit Soylu; Ayfer Soylu; Resul Das (Expert Syst. Appl., 2023)

Emotion Recognition from Text and Audio Dataset Using Cumulative Attribute Graph Neural Networks (CA-GNN). - Hussein Farooq Tayeb Alsaadawi; Resul Das (DSA ISC (1), 2024)

TAC-Trimodal Affective Computing: Principles, integration process, affective detection, challenges, and solutions. - Hussein Farooq Tayeb Alsaadawi; Bihter Das; Resul Das (Displays, 2024)

A systematic review of trimodal affective computing approaches: Text, audio, and visual integration in emotion recognition and sentiment analysis. - Hussein Farooq Tayeb Alsaadawi; Bihter Das; Resul Das (Expert Syst. Appl., 2024)

A novel approach for graph-based real-time anomaly detection from dynamic network data listened by Wireshark. - Muhammed Onur Kaya; Mehmet Özdem; Resul Das (EAI Endorsed Trans. Ind. Networks Intell. Syst., 2024)

A comparative analysis of various machine learning methods for anomaly detection in cyber attacks on IoT networks. - Muhammad Muhammad Inuwa; Resul Das (Internet Things, 2024)

Smart Grid Security: An Effective Hybrid CNN-Based Approach for Detecting Energy Theft Using Consumption Patterns. - Muhammed Zekeriya Gunduz; Resul Das (Sensors, 2024)

A new hybrid approach combining GCN and LSTM for real-time anomaly detection from dynamic computer network data. - Muhammed Onur Kaya; Mehmet Özdem; Resul Das (Comput. Networks, 2025)

A novel hybrid approach combining GCN and GAT for effective anomaly detection from firewall logs in campus networks. - Ali Yilmaz; Resul Das (Comput. Networks, 2025)

Prediction and graph visualization of cyber attacks using graph attention networks. - Mucahit Soylu; Resul Das (Comput. Secur., 2025)

A survey on data fusion approaches in IoT-based smart cities: Smart applications, taxonomies, challenges, and future research directions. - Berna Cengiz; Iliyasu Yahya Adam; Mehmet Ozdem; Resul Das (Inf. Fusion, 2025)

A novel hybrid model combining Vision Transformers and Graph Convolutional Networks for monkeypox disease effective diagnosis. - Bihter Das; Huseyin Alperen Dagdogen; Muhammed Onur Kaya; Resul Das (Inf. Fusion, 2025)

A novel effective key synchronization approach based on optimized deep neural networks for IoT-based low-power wide area networks. - Abbas Dehghani 002; Sadegh Fadaei; Resul Das (J. Supercomput., 2025)