Search Results - "Hussain, Amir"

A review of affective computing: From unimodal analysis to multimodal fusion by Poria, Soujanya, Cambria, Erik, Bajpai, Rajiv, Hussain, Amir

“…•First review on affective computing that is dealing with both unimodal and multimodal analysis.•The survey takes into account recent approaches, e.g.,…”
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Applications of Deep Learning and Reinforcement Learning to Biological Data by Mahmud, Mufti, Kaiser, Mohammed Shamim, Hussain, Amir, Vassanelli, Stefano

“…Rapid advances in hardware-based technologies during the past decades have opened up new possibilities for life scientists to gather multimodal data in various…”
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For Poetry's Sake: Resistance to Translation in the German Versions of Oscar Wilde's THE BALLAD OF READING GAOL by Hussain, Amir

“…While Oscar Wilde’s The Ballad of Reading Gaol is frequently examined within the genre of prison writing, translations of the poem push one to consider the…”
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Conventional stir casting versus ultrasonic assisted stir casting process: Mechanical and physical characteristics of AMCs by Idrisi, Amir Hussain, Mourad, Abdel-Hamid Ismail

“…In this study, aluminum matrix composites (AMCs) were developed using two different techniques, conventional stir casting and ultrasonic assisted stir casting…”
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TSDL: A Two-Stage Deep Learning Model for Efficient Network Intrusion Detection by Khan, Farrukh Aslam, Gumaei, Abdu, Derhab, Abdelouahid, Hussain, Amir

“…The network intrusion detection system is an important tool for protecting computer networks against threats and malicious attacks. Many techniques have…”
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Big data and IoT-based applications in smart environments: A systematic review by Hajjaji, Yosra, Boulila, Wadii, Farah, Imed Riadh, Romdhani, Imed, Hussain, Amir

“…This paper reviews big data and Internet of Things (IoT)-based applications in smart environments. The aim is to identify key areas of application, current…”
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Deep Learning in Mining Biological Data by Mahmud, Mufti, Kaiser, M. Shamim, McGinnity, T. Martin, Hussain, Amir

“…Recent technological advancements in data acquisition tools allowed life scientists to acquire multimodal data from different biological application domains…”
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Fusing audio, visual and textual clues for sentiment analysis from multimodal content by Poria, Soujanya, Cambria, Erik, Howard, Newton, Huang, Guang-Bin, Hussain, Amir

“…A huge number of videos are posted every day on social media platforms such as Facebook and YouTube. This makes the Internet an unlimited source of…”
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Artificial Intelligence-Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study by Hussain, Amir, Tahir, Ahsen, Hussain, Zain, Sheikh, Zakariya, Gogate, Mandar, Dashtipour, Kia, Ali, Azhar, Sheikh, Aziz

“…Global efforts toward the development and deployment of a vaccine for COVID-19 are rapidly advancing. To achieve herd immunity, widespread administration of…”
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A Convolutional Neural Network approach for classification of dementia stages based on 2D-spectral representation of EEG recordings by Ieracitano, Cosimo, Mammone, Nadia, Bramanti, Alessia, Hussain, Amir, Morabito, Francesco C.

“…A data-driven machine deep learning approach is proposed for differentiating subjects with Alzheimer’s Disease (AD), Mild Cognitive Impairment (MCI) and…”
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A Novel Two-Stage Deep Learning Model for Efficient Network Intrusion Detection by Farrukh Aslam Khan, Gumaei, Abdu, Derhab, Abdelouahid, Hussain, Amir

“…The network intrusion detection system is an important tool for protecting computer networks against threats and malicious attacks. Many techniques have…”
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Editorial for the Special Issue on Nanomaterials for Micro/Nanodevices by Idrisi, Amir Hussain

“…The Special Issue of , titled "Nanomaterials for Micro/Nanodevices", comprehensively examines the intersection of nanotechnology and micro/nanodevices [...]…”
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Multilayered Echo State Machine: A Novel Architecture and Algorithm by Malik, Zeeshan Khawar, Hussain, Amir, Wu, Qingming Jonathan

“…In this paper, we present a novel architecture and learning algorithm for a multilayered echo state machine (ML-ESM). Traditional echo state networks (ESNs)…”
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Sentiment Analysis of Persian Movie Reviews Using Deep Learning by Dashtipour, Kia, Gogate, Mandar, Adeel, Ahsan, Larijani, Hadi, Hussain, Amir

“…Sentiment analysis aims to automatically classify the subject's sentiment (e.g., positive, negative, or neutral) towards a particular aspect such as a topic,…”
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A robust deep learning approach for tomato plant leaf disease localization and classification by Nawaz, Marriam, Nazir, Tahira, Javed, Ali, Masood, Momina, Rashid, Junaid, Kim, Jungeun, Hussain, Amir

“…Tomato plants' disease detection and classification at the earliest stage can save the farmers from expensive crop sprays and can assist in increasing the food…”
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Anchor-free Convolutional Network with Dense Attention Feature Aggregation for Ship Detection in SAR Images by Gao, Fei, He, Yishan, Wang, Jun, Hussain, Amir, Zhou, Huiyu

“…In recent years, with the improvement of synthetic aperture radar (SAR) imaging resolution, it is urgent to develop methods with higher accuracy and faster…”
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Attention Graph Convolution Network for Image Segmentation in Big SAR Imagery Data by Ma, Fei, Gao, Fei, Sun, Jinping, Zhou, Huiyu, Hussain, Amir

“…The recent emergence of high-resolution Synthetic Aperture Radar (SAR) images leads to massive amounts of data. In order to segment these big remotely sensed…”
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Aczel-Alsina Aggregation Operators on T-Spherical Fuzzy (TSF) Information With Application to TSF Multi-Attribute Decision Making by Hussain, Amir, Ullah, Kifayat, Yang, Miin-Shen, Pamucar, Dragan

“…Aczel-Alsina t-norm (TN) and t-conorm (TCN) were proposed by Aczel and Alsina in 1982 are more flexible than the other TN and TCN. Since Aczel-Alsina TN and…”
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Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges by Usama, Muhammad, Qadir, Junaid, Raza, Aunn, Arif, Hunain, Yau, Kok-lim Alvin, Elkhatib, Yehia, Hussain, Amir, Al-Fuqaha, Ala

“…While machine learning and artificial intelligence have long been applied in networking research, the bulk of such works has focused on supervised learning…”
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A novel multiple kernel fuzzy topic modeling technique for biomedical data by Rashid, Junaid, Kim, Jungeun, Hussain, Amir, Naseem, Usman, Juneja, Sapna

“…Text mining in the biomedical field has received much attention and regarded as the important research area since a lot of biomedical data is in text format…”
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