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20182025
most citedAn Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks

432 citations · 675 across the 16 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CV2018

Contextual Audio-Visual Switching For Speech Enhancement in Real-World Environments

Ahsan Adeel, Mandar Gogate, Amir Hussain

Human speech processing is inherently multimodal, where visual cues (lip movements) help to better understand the speech in noise. Lip-reading driven speech enhancement significant…

cs.CR2018

Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection

Cosimo Ieracitano, Ahsan Adeel, Mandar Gogate +5

Attackers have developed ever more sophisticated and intelligent ways to hack information and communication technology systems. The extent of damage an individual hacker can carry…

cs.CL2018

Exploiting Deep Learning for Persian Sentiment Analysis

Kia Dashtipour, Mandar Gogate, Ahsan Adeel +3

The rise of social media is enabling people to freely express their opinions about products and services. The aim of sentiment analysis is to automatically determine subject's sent…

cs.SD2018

DNN driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation

Mandar Gogate, Ahsan Adeel, Ricard Marxer +2

Human auditory cortex excels at selectively suppressing background noise to focus on a target speaker. The process of selective attention in the brain is known to contextually expl…

cs.CV2018

Lip-Reading Driven Deep Learning Approach for Speech Enhancement

Ahsan Adeel, Mandar Gogate, Amir Hussain +1

This paper proposes a novel lip-reading driven deep learning framework for speech enhancement. The proposed approach leverages the complementary strengths of both deep learning and…