Ahsan Adeel

According to our database1, Ahsan Adeel authored at least 46 papers between 2014 and 2021.

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Bibliography

2021
Lip-Reading Driven Deep Learning Approach for Speech Enhancement.
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

Sentiment Analysis of Persian Movie Reviews Using Deep Learning.
Entropy, 2021

Sexism detection: The first corpus in Algerian dialect with a code-switching in Arabic/ French and English.
CoRR, 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

Detecting hate speech against politicians in Arabic community on social media.
Int. J. Web Inf. Syst., 2020

A novel statistical analysis and autoencoder driven intelligent intrusion detection approach.
Neurocomputing, 2020

BrainOS: A Novel Artificial Brain-Alike Automatic Machine Learning Framework.
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

AV Speech Enhancement Challenge using a Real Noisy Corpus.
CoRR, 2019

CochleaNet: A Robust Language-independent Audio-Visual Model for Speech Enhancement.
CoRR, 2019

A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management.
CoRR, 2019

Cognitively Inspired Feature Extraction and Speech Recognition for Automated Hearing Loss Testing.
Cogn. Comput., 2019

Improving Channel Utilization of LoRaWAN by using Novel Channel Access Mechanism.
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

Contextual Audio-Visual Switching For Speech Enhancement in Real-World Environments.
CoRR, 2018

Arabizi sentiment analysis based on transliteration and automatic corpus annotation.
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018

DNN Driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation.
Proceedings of the Interspeech 2018, 2018

Saliency Detection via Bidirectional Absorbing Markov Chain.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

Exploiting Deep Learning for Persian Sentiment Analysis.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

A Semi-supervised Corpus Annotation for Saudi Sentiment Analysis Using Twitter.
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

Deep learning driven multimodal fusion for automated deception detection.
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

Toward's Arabic Multi-modal Sentiment Analysis.
Proceedings of the Communications, Signal Processing, and Systems, 2017

Persian Named Entity Recognition.
Proceedings of the 16th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2017

Machine learning based computer-aided diagnosis of liver tumours.
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

Random Neural Network Based Cognitive-eNodeB Deployment in LTE Uplink.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

2014
Efficient use of random neural networks for cognitive radio system in LTE-UL.
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


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