Amir Haider
Orcid: 0000-0002-1534-061X
According to our database1,
Amir Haider
authored at least 30 papers
between 2020 and 2025.
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Bibliography
2025
QRCF: A new Q-learning-based routing approach using a smart cylindrical filtering system in flying ad hoc networks.
Veh. Commun., 2025
A novel cylindrical filtering-based greedy perimeter stateless routing scheme in flying ad hoc networks.
Veh. Commun., 2025
Optimizing task offloading with metaheuristic algorithms across cloud, fog, and edge computing networks: A comprehensive survey and state-of-the-art schemes.
Sustain. Comput. Informatics Syst., 2025
A multi-objective deep reinforcement learning algorithm for spatio-temporal latency optimization in mobile IoT-enabled edge computing networks.
Simul. Model. Pract. Theory, 2025
Self-learning adaptive power management scheme for energy-efficient IoT-MEC systems using soft actor-critic algorithm.
Internet Things, 2025
An intelligent Q-learning-based tree routing method in underwater acoustic sensor networks.
Eng. Appl. Artif. Intell., 2025
A survey of Beluga whale optimization and its variants: Statistical analysis, advances, and structural reviewing.
Comput. Sci. Rev., 2025
A hierarchical adaptive federated reinforcement learning for efficient resource allocation and task scheduling in hierarchical IoT network.
Comput. Commun., 2025
A routing approach based on combination of gray wolf clustering and fuzzy clustering and using multi-criteria decision making approaches for WSN-IoT.
Comput. Electr. Eng., 2025
An optimizing geo-distributed edge layering with double deep Q-networks for predictive mobility-aware offloading in mobile edge computing.
Ad Hoc Networks, 2025
A self-supervised deep reinforcement learning for Zero-Shot Task scheduling in mobile edge computing environments.
Ad Hoc Networks, 2025
Ad Hoc Networks, 2025
2024
BayesNet: Enhancing UAV-Based Remote Sensing Scene Understanding with Quantifiable Uncertainties.
Remote. Sens., March, 2024
A novel energy-efficient and cost-effective task offloading approach for UAV-enabled MEC with LEO enhancement in Internet of Remote Things networks.
Simul. Model. Pract. Theory, 2024
Enhanced Heart Sound Classification Using Mel Frequency Cepstral Coefficients and Comparative Analysis of Single vs. Ensemble Classifier Strategies.
CoRR, 2024
2023
Deep learning for automatic tumor lesions delineation and prognostic assessment in multi-modality PET/CT: A prospective survey.
Eng. Appl. Artif. Intell., 2023
RS-RLNC: A Reinforcement Learning-Based Selective Random Linear Network Coding Framework for Tactile Internet.
IEEE Access, 2023
Learning-Based Adaptive Sliding-Window RLNC for High Bandwidth-Delay Product Networks.
IEEE Access, 2023
2022
Microprocess. Microsystems, September, 2022
Reinforcement Learning-Aided Edge Intelligence Framework for Delay-Sensitive Industrial Applications.
Sensors, 2022
QoS Provisioning: Key Drivers and Enablers Toward the Tactile Internet in Beyond 5G Era.
IEEE Access, 2022
2021
Design and Analysis of a Novel 24 GHz Up-Conversion Mixer with Improved Derivative Super-Position Linearizer Technique for 5G Applications.
Sensors, 2021
Sensors, 2021
Intelligent Stretch Reduction in Information-CentricNetworking towards 5G-Tactile Internet realization.
CoRR, 2021
Big Data Cogn. Comput., 2021
IoMT Cloud-Based Intelligent Prediction of Breast Cancer Stages Empowered With Deep Learning.
IEEE Access, 2021
PAKES: A Reinforcement Learning-Based Personalized Adaptability Knowledge Extraction Strategy for Adaptive Learning Systems.
IEEE Access, 2021
Deep Learning (DL) Based Joint Resource Allocation and RRH Association in 5G-Multi-Tier Networks.
IEEE Access, 2021
2020
Time-Domain Investigation of Switchable Filter Wide-Band Antenna for Microwave Breast Imaging.
Sensors, 2020