Optimizing association rule hiding using combination of border and heuristic approaches. - Akbar Telikani; Asadollah Shahbahrami (Appl. Intell., 2017)

Data sanitization in association rule mining: An analytical review. - Akbar Telikani; Asadollah Shahbahrami (Expert Syst. Appl., 2018)

Privacy-preserving in association rule mining using an improved discrete binary artificial bee colony. - Akbar Telikani; Amir H. Gandomi; Asadollah Shahbahrami; Mohammad Naderi Dehkordi (Expert Syst. Appl., 2020)

A survey of evolutionary computation for association rule mining. - Akbar Telikani; Amir H. Gandomi; Asadollah Shahbahrami (Inf. Sci., 2020)

Cost-sensitive stacked auto-encoders for intrusion detection in the Internet of Things. - Akbar Telikani; Amir H. Gandomi (Internet Things, 2021)

High-performance implementation of evolutionary privacy-preserving algorithm for big data using GPU platform. - Akbar Telikani; Asadollah Shahbahrami; Amir H. Gandomi (Inf. Sci., 2021)

A privacy-aware data sharing framework for Internet of Things through edge computing platform. - Akbar Telikani; Jun Shen 001; Peng Wang 023; Jie Yang 009 (EDGE, 2022)

DynamicLight: Dynamically Tuning Traffic Signal Duration with DRL. - Liang Zhang; Qiang Wu 010; Jun Shen 001; Linyuan Lü; Bo Du 004; Akbar Telikani; Jianqing Wu 002; Shubin Xie (CoRR, 2022)

Evolutionary Machine Learning: A Survey. - Akbar Telikani; Amirhessam Tahmassebi; Wolfgang Banzhaf; Amir H. Gandomi (ACM Comput. Surv., 2022)

Industrial IoT Intrusion Detection via Evolutionary Cost-Sensitive Learning and Fog Computing. - Akbar Telikani; Jun Shen 001; Jie Yang 009; Peng Wang 023 (IEEE Internet Things J., 2022)

Distributed agent-based deep reinforcement learning for large scale traffic signal control. - Qiang Wu 010; Jianqing Wu 002; Jun Shen 001; Bo Du 004; Akbar Telikani; Mahdi Fahmideh; Chao Liang (Knowl. Based Syst., 2022)

A Cost-Sensitive Deep Learning-Based Approach for Network Traffic Classification. - Akbar Telikani; Amir H. Gandomi; Kim-Kwang Raymond Choo; Jun Shen 001 (IEEE Trans. Netw. Serv. Manag., 2022)

Feasibility Analysis of Data Transmission in Partially Damaged IoT Networks of Vehicles. - Wei Wei 006; Jun Shen 001; Akbar Telikani; Mahdi Fahmideh; Wei Gao 012 (IEEE Trans. Intell. Transp. Syst., 2023)

An edge-aided parallel evolutionary privacy-preserving algorithm for Internet of Things. - Akbar Telikani; Asadollah Shahbahrami; Jun Shen 001; Georgi Gaydadjiev; Jerry Chun-Wei Lin (Internet Things, 2023)

Evaluating Energy Consumption Prediction Models of a Quadcopter Unmanned Aerial Vehicle. - Arupa Sarkar; Fendy Santoso; Jun Shen 001; Bo Du 004; Akbar Telikani; Jun Yan 005 (VTC Fall, 2024)

Smart Verification of Unmanned Aerial Vehicle GPS Geolocation via Received Signal Strength Indicators. - Arupa Sarkar; Fendy Santoso; Akbar Telikani; Jun Shen 001; Bo Du 004; Jun Yan 005 (VTC Fall, 2024)

DST-GTN: Dynamic Spatio-Temporal Graph Transformer Network for Traffic Forecasting. - Songtao Huang; Hongjin Song; Tianqi Jiang; Akbar Telikani; Jun Shen 001; Qingguo Zhou; Binbin Yong; Qiang Wu 010 (CoRR, 2024)

A Cost-Sensitive Machine Learning Model With Multitask Learning for Intrusion Detection in IoT. - Akbar Telikani; Nima Esmi Rudbardeh; Shiva Soleymanpour; Asadollah Shahbahrami; Jun Shen 001; Georgi Gaydadjiev; Reza Hassanpour (IEEE Trans. Ind. Informatics, 2024)

Machine Learning for UAV-Aided ITS: A Review With Comparative Study. - Akbar Telikani; Arupa Sarkar; Bo Du 004; Jun Shen 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Adaptive Period Control for Communication Efficient and Fast Convergent Federated Learning. - Jude Tchaye-Kondi; Yanlong Zhai; Jun Shen 001; Akbar Telikani; Liehuang Zhu (IEEE Trans. Mob. Comput., 2024)

Fire front path planning and tracking control of Uncrewed Aerial Vehicles using deep reinforcement learning. - Mona Raoufi; Akbar Telikani; Tieling Zhang; Jun Shen 001 (Robotics Auton. Syst., 2025)

A Periodic Adversarial Threat Model for Deep Neural Networks in Aerial Vehicle Detection. - Akbar Telikani; Jun Shen 001; Bo Du 004; Mahdi Fahmideh; Jun Yan 005 (IEEE Internet Things J., 2025)