Bee-Sensor: A Step Towards Meta-Routing Strategies in Hybrid Ad Hoc Networks. - Israr Ullah; Muhammad Saleem 001; Muddassar Farooq (ANTS Conference, 2010)

On the reliability of ad hoc routing protocols for loss-and-delay sensitive applications. - Muhammad Saleem 001; Israr Ullah; Syed Ali Khayam; Muddassar Farooq (Ad Hoc Networks, 2011)

BeeSensor: An energy-efficient and scalable routing protocol for wireless sensor networks. - Muhammad Saleem 001; Israr Ullah; Muddassar Farooq (Inf. Sci., 2012)

Key Concept Identification: A Sentence Parse Tree-Based Technique for Candidate Feature Extraction From Unstructured Texts. - Muhammad Aman; Abas bin Md Said; Said Jadid Abdul Kadir; Israr Ullah (IEEE Access, 2018)

Key Concept Identification: A Comprehensive Analysis of Frequency and Topical Graph-Based Approaches. - Muhammad Aman; Abas bin Md Said; Said Jadid Abdul Kadir; Israr Ullah (Inf., 2018)

IoT Services and Virtual Objects Management in Hyperconnected Things Network. - Israr Ullah; Muhammad Sohail Khan; DoHyeun Kim 001 (Mob. Inf. Syst., 2018)

A Stochastic Approach Towards Travel Route Optimization and Recommendation Based on Users Constraints Using Markov Chain. - Shabir Ahmad; Israr Ullah; Faisal Mehmood; Muhammad Fayaz; DoHyeun Kim 001 (IEEE Access, 2019)

An efficient energy consumption and user comfort maximization methodology based on learning to optimization and learning to control algorithms. - Muhammad Fayaz; Israr Ullah; Abdul Salam Shah; DoHyuen Kim (J. Intell. Fuzzy Syst., 2019)

Improving Accuracy of the Kalman Filter Algorithm in Dynamic Conditions Using ANN-Based Learning Module. - Israr Ullah; Muhammad Fayaz; DoHyeun Kim 001 (Symmetry, 2019)

Dynamic User Preference Parameters Selection and Energy Consumption Optimization for Smart Homes Using Deep Extreme Learning Machine and Bat Algorithm. - Abdul Salam Shah; Haidawati Nasir; Muhammad Fayaz; Adidah Lajis; Israr Ullah; Asadullah Shah (IEEE Access, 2020)

ANN Based Learning to Kalman Filter Algorithm for Indoor Environment Prediction in Smart Greenhouse. - Israr Ullah; Muhammad Fayaz; Nasir Naveed; Dohyeun Kim 001 (IEEE Access, 2020)

A secure fish farm platform based on blockchain for agriculture data integrity. - Lei Hang; Israr Ullah; Do-Hyeun Kim 001 (Comput. Electron. Agric., 2020)

Heuristic and Statistical Prediction Algorithms Survey for Smart Environments. - Sehrish Malik; Israr Ullah; DoHyeun Kim 001; KyuTae Lee (J. Inf. Process. Syst., 2020)

EHA-BeeSensor: Hybrid Protocol for Energy Proficient Routing in IoT Network using Swarm Intelligence. - Abdul Nasir; Hassaan Khaliq Qureshi; Israr Ullah; Muttukrishnan Rajarajan (CAMAD, 2021)

Optimization-assisted water supplement mechanism with energy efficiency in IoT based greenhouse. - Azimbek Khudoyberdiev; Israr Ullah; Do-Hyeun Kim 001 (J. Intell. Fuzzy Syst., 2021)

KP-Rank: a semantic-based unsupervised approach for keyphrase extraction from text data. - Muhammad Aman; Said Jadid Abdulkadir; Izzatdin Abdul Aziz; Hitham Alhussian 001; Israr Ullah (Multim. Tools Appl., 2021)

Optimal smart contract for autonomous greenhouse environment based on IoT blockchain network in agriculture. - Faisal Jamil; Muhammad Ibrahim 002; Israr Ullah; Suyeon Kim; Hyun Kook Kahng; Dohyeun Kim 001 (Comput. Electron. Agric., 2022)

An optimization scheme for IoT based smart greenhouse climate control with efficient energy consumption. - Israr Ullah; Muhammad Fayaz; Muhammad Aman; DoHyeun Kim 001 (Computing, 2022)

Toward Autonomous Farming - A Novel Scheme Based on Learning to Prediction and Optimization for Smart Greenhouse Environment Control. - Israr Ullah; Muhammad Fayaz; Muhammad Aman; Dohyeun Kim 001 (IEEE Internet Things J., 2022)

A Review on Task Scheduling Techniques in Cloud and Fog Computing: Taxonomy, Tools, Open Issues, Challenges, and Future Directions. - Zulfiqar Ali Khan; Izzatdin Abdul Aziz; Nurul Aida Osman; Israr Ullah (IEEE Access, 2023)

An improved Kalman filter using ANN-based learning module to predict transaction throughput of blockchain network in clinical trials. - Lei Hang; Israr Ullah; Jun Yang; Chun Chen (Peer Peer Netw. Appl., 2023)

A Novel Lightweight CNN for Constrained IoT Devices: Achieving High Accuracy With Parameter Efficiency on the MSTAR Dataset. - Noor Rahman; Muzammil Khan 001; Israr Ullah; DoHyeun Kim 001 (IEEE Access, 2024)