Ahsan Adeel
Orcid: 0000-0001-9153-6756
According to our database1,
Ahsan Adeel
authored at least 67 papers
between 2014 and 2023.
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Bibliography
2023
Unlocking the Potential of Two-Point Cells for Energy-Efficient and Resilient Training of Deep Nets.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023
PL-kNN: A Python-based implementation of a parameterless k-Nearest Neighbors classifier.
Softw. Impacts, March, 2023
Canonical cortical graph neural networks and its application for speech enhancement in audio-visual hearing aids.
Neurocomputing, March, 2023
Multimodal audio-visual information fusion using canonical-correlated Graph Neural Network for energy-efficient speech enhancement.
Inf. Fusion, 2023
Live Demonstration: Cloud-based Audio-Visual Speech Enhancement in Multimodal Hearing-aids.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023
Live Demonstration: Unlocking the Potential of Two-Point Neuronal Cells for Energy-Efficient Training of Deep Networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE Global Communications Conference, 2023
2022
A Novel Temporal Attentive-Pooling based Convolutional Recurrent Architecture for Acoustic Signal Enhancement.
IEEE Trans. Artif. Intell., 2022
Unlocking the potential of two-point cells for energy-efficient training of deep nets.
CoRR, 2022
Context-sensitive neocortical neurons transform the effectiveness and efficiency of neural information processing.
CoRR, 2022
Canonical Cortical Graph Neural Networks and its Application for Speech Enhancement in Future Audio-Visual Hearing Aids.
CoRR, 2022
A Novel Speech Intelligibility Enhancement Model based on CanonicalCorrelation and Deep Learning.
CoRR, 2022
A Multimodal Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement.
CoRR, 2022
Proceedings of the 29th International Conference on Systems, Signals and Image Processing, 2022
A Novel Frame Structure for Cloud-Based Audio-Visual Speech Enhancement in Multimodal Hearing-aids.
Proceedings of the IEEE International Conference on E-health Networking, 2022
A Novel Speech Intelligibility Enhancement Model based on Canonical Correlation and Deep Learning.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
A Novel Chaos-based Light-weight Image Encryption Scheme for Multi-modal Hearing Aids.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2022
2021
IEEE Trans. Emerg. Top. Comput. Intell., 2021
A Semi-supervised Approach for Sentiment Analysis of Arab(ic+izi) Messages: Application to the Algerian Dialect.
SN Comput. Sci., 2021
Sexism detection: The first corpus in Algerian dialect with a code-switching in Arabic/ French and English.
Proceedings of the 2nd AfricaNLP Workshop Proceedings, AfricaNLP@EACL 2021, Virtual Event, 2021
2020
CochleaNet: A robust language-independent audio-visual model for real-time speech enhancement.
Inf. Fusion, 2020
Contextual deep learning-based audio-visual switching for speech enhancement in real-world environments.
Inf. Fusion, 2020
Int. J. Web Inf. Syst., 2020
A novel statistical analysis and autoencoder driven intelligent intrusion detection approach.
Neurocomputing, 2020
Frontiers Comput. Neurosci., 2020
Conscious Multisensory Integration: Introducing a Universal Contextual Field in Biological and Deep Artificial Neural Networks.
Frontiers Comput. Neurosci., 2020
An Adversarial Approach for Intrusion Detection Systems Using Jacobian Saliency Map Attacks (JSMA) Algorithm.
Comput., 2020
A Novel Real-Time, Lightweight Chaotic-Encryption Scheme for Next-Generation Audio-Visual Hearing Aids.
Cogn. Comput., 2020
2019
A novel deep learning driven, low-cost mobility prediction approach for 5G cellular networks: The case of the Control/Data Separation Architecture (CDSA).
Neurocomputing, 2019
CoRR, 2019
CoRR, 2019
Cognitively Inspired Feature Extraction and Speech Recognition for Automated Hearing Loss Testing.
Cogn. Comput., 2019
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019
Height Prediction for Growth Hormone Deficiency Treatment Planning Using Deep Learning.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019
Offline Arabic Handwriting Recognition Using Deep Machine Learning: A Review of Recent Advances.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019
2018
Role of Awareness and Universal Context in a Spiking Conscious Neural Network (SCNN): A New Perspective and Future Directions.
CoRR, 2018
Real-Time Lightweight Chaotic Encryption for 5G IoT Enabled Lip-Reading Driven Secure Hearing-Aid.
CoRR, 2018
CoRR, 2018
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018
Proceedings of the Interspeech 2018, 2018
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018
2017
Random neural network based cognitive engines for adaptive modulation and coding in LTE downlink systems.
Comput. Electr. Eng., 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
A novel brain-inspired compression-based optimised multimodal fusion for emotion recognition.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
A Comparative Study of Persian Sentiment Analysis Based on Different Feature Combinations.
Proceedings of the Communications, Signal Processing, and Systems, 2017
Proceedings of the Communications, Signal Processing, and Systems, 2017
Proceedings of the 16th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2017
Proceedings of the 16th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2017
2016
Random neural network based novel decision making framework for optimized and autonomous power control in LTE uplink system.
Phys. Commun., 2016
2015
Impact of Learning Algorithms on Random Neural Network based Optimization for LTE-UL Systems.
Netw. Protoc. Algorithms, 2015
Resource Management and Inter-Cell-Interference Coordination in LTE Uplink System Using Random Neural Network and Optimization.
IEEE Access, 2015
Critical Analysis of Learning Algorithms in Random Neural Network Based Cognitive Engine for LTE Systems.
Proceedings of the IEEE 81st Vehicular Technology Conference, 2015
Random neural network based power controller for inter-cell interference coordination in LTE-UL.
Proceedings of the IEEE International Conference on Communication, 2015
Proceedings of the 2015 IEEE Global Communications Conference, 2015
2014
Proceedings of the 11th International Symposium on Wireless Communications Systems, 2014
Performance analysis of random neural networks in LTE-UL of a cognitive radio system.
Proceedings of the 1st International Workshop on Cognitive Cellular Systems, 2014
Performance Analysis of Artificial Neural Network-Based Learning Schemes for Cognitive Radio Systems in LTE-UL.
Proceedings of the 28th International Conference on Advanced Information Networking and Applications Workshops, 2014