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218 results on '"Shakir, Muhammad Zeeshan"'

201. Channel Transition Monitoring Based Spectrum Sensing in Mobile Cognitive Radio Networks

Author

Duan, Meimei, Zeng, Zhimin, Guo, Caili, Liu, Fangfang, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Weichold, Mark, editor, Hamdi, Mounir, editor, Shakir, Muhammad Zeeshan, editor, Abdallah, Mohamed, editor, Karagiannidis, George K., editor, and Ismail, Muhammad, editor

Published
2015
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202. Investigation of TCP Protocols in Dynamically Varying Bandwidth Conditions

Author

Zhou, Fan, Al Ali, Abdulla, Chowdhury, Kaushik, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Weichold, Mark, editor, Hamdi, Mounir, editor, Shakir, Muhammad Zeeshan, editor, Abdallah, Mohamed, editor, Karagiannidis, George K., editor, and Ismail, Muhammad, editor

Published
2015
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203. Implementing a MATLAB-Based Self-configurable Software Defined Radio Transceiver

Author

Drozdenko, Benjamin, Subramanian, Ramanathan, Chowdhury, Kaushik, Leeser, Miriam, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Weichold, Mark, editor, Hamdi, Mounir, editor, Shakir, Muhammad Zeeshan, editor, Abdallah, Mohamed, editor, Karagiannidis, George K., editor, and Ismail, Muhammad, editor

Published
2015
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204. An Efficient Secondary User Selection Scheme for Cognitive Networks with Imperfect Channel Estimation and Multiple Primary Users

Author

Salhab, Anas M., Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Weichold, Mark, editor, Hamdi, Mounir, editor, Shakir, Muhammad Zeeshan, editor, Abdallah, Mohamed, editor, Karagiannidis, George K., editor, and Ismail, Muhammad, editor

Published
2015
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205. An Efficient Switching Threshold-Based Scheduling Protocol for Multiuser Cognitive AF Relay Networks with Primary Users Using Orthogonal Spectrums

Author

Salhab, Anas M., Al-Qahtani, Fawaz, Zummo, Salam A., Alnuweiri, Hussein, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Weichold, Mark, editor, Hamdi, Mounir, editor, Shakir, Muhammad Zeeshan, editor, Abdallah, Mohamed, editor, Karagiannidis, George K., editor, and Ismail, Muhammad, editor

Published
2015
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206. Downlink Scheduling and Power Allocation in Cognitive Femtocell Networks

Author

Elmaghraby, Hesham M., Qin, Dongrun, Ding, Zhi, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Weichold, Mark, editor, Hamdi, Mounir, editor, Shakir, Muhammad Zeeshan, editor, Abdallah, Mohamed, editor, Karagiannidis, George K., editor, and Ismail, Muhammad, editor

Published
2015
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207. Non-uniform Quantized Distributed Sensing in Practical Wireless Rayleigh Fading Channel

Author

Fard, Sina Mohammadi, Hashemi, Hadi, Taherpour, Abbas, Khattab, Tamer, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Weichold, Mark, editor, Hamdi, Mounir, editor, Shakir, Muhammad Zeeshan, editor, Abdallah, Mohamed, editor, Karagiannidis, George K., editor, and Ismail, Muhammad, editor

Published
2015
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208. Two-Stage Multiuser Access in 5G Cellular Using Massive MIMO and Beamforming

Author

Seleem, Hussein, Alsanie, Abdullhameed, Sulyman, Ahmed Iyanda, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Weichold, Mark, editor, Hamdi, Mounir, editor, Shakir, Muhammad Zeeshan, editor, Abdallah, Mohamed, editor, Karagiannidis, George K., editor, and Ismail, Muhammad, editor

Published
2015
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209. Stability and Delay Analysis for Cooperative Relaying with Multi-access Transmission

Author

Salman, Mohamed, El-Keyi, Amr, Nafie, Mohammed, Hasna, Mazen, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Weichold, Mark, editor, Hamdi, Mounir, editor, Shakir, Muhammad Zeeshan, editor, Abdallah, Mohamed, editor, Karagiannidis, George K., editor, and Ismail, Muhammad, editor

Published
2015
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210. Detection of Temporally Correlated Primary User Signal with Multiple Antennas

Author

Hashemi, Hadi, Fard, Sina Mohammadi, Taherpour, Abbas, Sedighi, Saeid, Khattab, Tamer, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Weichold, Mark, editor, Hamdi, Mounir, editor, Shakir, Muhammad Zeeshan, editor, Abdallah, Mohamed, editor, Karagiannidis, George K., editor, and Ismail, Muhammad, editor

Published
2015
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211. Auction Based Joint Resource Allocation with Flexible User Request in Cognitive Radio Networks

Author

Zhou, Wei, Jing, Tao, Huo, Yan, Qian, Jin, Li, Zhen, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Weichold, Mark, editor, Hamdi, Mounir, editor, Shakir, Muhammad Zeeshan, editor, Abdallah, Mohamed, editor, Karagiannidis, George K., editor, and Ismail, Muhammad, editor

Published
2015
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212. Effective Capacity and Delay Optimization in Cognitive Radio Networks

Author

Abdel-Malek, Mai, Seddik, Karim, ElBatt, Tamer, Mohasseb, Yahya, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Weichold, Mark, editor, Hamdi, Mounir, editor, Shakir, Muhammad Zeeshan, editor, Abdallah, Mohamed, editor, Karagiannidis, George K., editor, and Ismail, Muhammad, editor

Published
2015
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213. Achievable Rate of Multi-relay Cognitive Radio MIMO Channel with Space Alignment

Author

Sboui, Lokman, Ghazzai, Hakim, Rezki, Zouheir, Alouini, Mohamed-Slim, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Weichold, Mark, editor, Hamdi, Mounir, editor, Shakir, Muhammad Zeeshan, editor, Abdallah, Mohamed, editor, Karagiannidis, George K., editor, and Ismail, Muhammad, editor

Published
2015
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215. EEG-based biometrics: effects of template ageing

Author

Pablo Arnau-Gonzalez, Miguel Arevalillo-Herráez, Naeem Ramzan, Stamos Katsigiannis, Shakir, Muhammad Zeeshan, and Ramzan, Naeem

Subjects
medicine.diagnostic_test, Biometrics, Computer science, business.industry, Pattern recognition, Electroencephalography, Support vector machine, Identification (information), Autoregressive model, medicine, Mel-frequency cepstrum, Artificial intelligence, business, Single session
Abstract

This chapter discusses the effects of template ageing in EEG-based biometrics. The chapter also serves as an introduction to general biometrics and its main tasks: Identification and verification. To do so, we investigate different characterisations of EEG signals and examine the difference of performance in subject identification between single session and cross-session identification experiments. In order to do this, EEG signals are characterised with common state-of-the-art features, i.e. Mel Frequency Cepstral Coefficients (MFCC), Autoregression Coefficients, and Power Spectral Density-derived features. The samples were later classified using various classifiers, including Support Vector Machines and k-Nearest Neighbours with different parametrisations. Results show that performance tends to be worse for crosssession identification compared to single session identification. This finding suggests that temporal permanence of EEG signals is limited and thus more sophisticated methods are needed in order to characterise EEG signals for the task of subject identification

Published
2020

216. A machine learning driven solution to the problem of perceptual video quality metrics

Author

Katsigiannis, Stamos, Rabah, Hassan, Ramzan, Naeem, Shakir, Muhammad Zeeshan, and Ramzan, Naeem

Abstract

The advent of high-speed internet connections, advanced video coding algorithms, and consumer-grade computers with high computational capabilities has led videostreaming-over-the-internet to make up the majority of network traffic. This effect has led to a continuously expanding video streaming industry that seeks to offer enhanced quality-of-experience (QoE) to its users at the lowest cost possible. Video streaming services are now able to adapt to the hardware and network restrictions that each user faces and thus provide the best experience possible under those restrictions. The most common way to adapt to network bandwidth restrictions is to offer a video stream at the highest possible visual quality, for the maximum achievable bitrate under the network connection in use. This is achieved by storing various pre-encoded versions of the video content with different bitrate and visual quality settings. Visual quality is measured by means of objective quality metrics, such as the Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), Visual Information Fidelity (VIF), and others, which can be easily computed analytically. Nevertheless, it is widely accepted that although these metrics provide an accurate estimate of the statistical quality degradation, they do not reflect the viewer’s perception of visual quality accurately. As a result, the acquisition of user ratings in the form of Mean Opinion Scores (MOS) remains the most accurate depiction of human-perceived video quality, albeit very costly and time consuming, and thus cannot be practically employed by video streaming providers that have hundreds or thousands of videos in their catalogues. A recent very promising approach for addressing this limitation is the use of machine learning techniques in order to train models that represent human video quality perception more accurately. To this end, regression techniques are used in order to map objective quality metrics to human video quality ratings, acquired for a large number of diverse video sequences. Results have been very promising, with approaches like the Video Multimethod Assessment Fusion (VMAF) metric achieving higher correlations to useracquired MOS ratings compared to traditional widely used objective quality metrics.

Published
2020

217. Artificial intelligence for affective computing : an emotion recognition case study

Author

Stamos Katsigiannis, Naeem Ramzan, Pablo Arnau-Gonzalez, Miguel Arevalillo-Herráez, Shakir, Muhammad Zeeshan, and Ramzan, Naeem

Subjects
Channel (digital image), medicine.diagnostic_test, Logarithm, Computer science, business.industry, Feature selection, Mutual information, Electroencephalography, Field (computer science), Frequency domain, medicine, Artificial intelligence, Affective computing, business
Abstract

This chapter provides an introduction on the benefits of artificial intelligence (Al) techniques for the field of affective computing, through a case study about emotion recognition via brain (electroencephalography EEG) signals. Readers are first pro-vided with a general description of the field, followed by the main models of human affect, with special emphasis to Russell's circumplex model and the pleasur-arousal-dominance (PAD) model. Finally, an AI-based method for the detection of affect elicited via multimedia stimuli is presented. The method combines both connectivity-and channel-based EEG features with a selection method that considerably reduces the dimensionality of the data and allows for efficient classification. In particular, the relative energy (RE) and its logarithm in the spatial domain, as well as the spectral power (SP) in the frequency domain are computed for the four typically used EEG frequency bands (a, 0, y and 0) and complemented with the mutual information measured over all EEG channel pairs. The resulting features are then reduced by using a hybrid method that combines supervised and unsupervised feature selection. Detection results are compared to state-of-the-art methods on the DEAP benchmark-ing data set for emotion analysis, which is composed of labelled EEG recordings from 32 individuals, acquired while watching 40 music videos. The acquired results demonstrate the potential of AI-based methods for emotion recognition, an applica-tion that can significantly benefit the fields of human-computer interaction (HCI) and of quality-of-experience (QoE).

Published
2020

218. Machine learning-based affect detection within the context of human-horse interaction

Author

Althobaiti, Turke, Katsigiannis, Stamos, West, Daune, Rabah, Hassan, Ramzan, Naeem, Shakir, Muhammad Zeeshan, and Ramzan, Naeem

Abstract

This chapter focuses on the use of machine learning techniques within the field of affective computing, and more specifically for the task of emotion recognition within the context of human-horse interaction. Affective computing focuses on the detection and interpretation of human emotion, an application that could significantly benefit quantitative studies in the field of animal assisted therapy. The chapter offers a thorough description, an experimental design, and experimental results on the use of physiological signals, such as electroencephalography (EEG), electrocardiography (ECG), and electromyography (EMG) signals, for the creation and evaluation of machine learning models for the prediction of the emotional state of an individual during interaction with horses.

Published
2020

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