Search Results - "Islam, Ihtesham Ul"

Deep learning in big data Analytics: A comparative study by Jan, Bilal, Farman, Haleem, Khan, Murad, Imran, Muhammad, Islam, Ihtesham Ul, Ahmad, Awais, Ali, Shaukat, Jeon, Gwanggil

“…Deep learning methods are extensively applied to various fields of science and engineering such as speech recognition, image classifications, and learning…”
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Traffic priority based delay-aware and energy efficient path allocation routing protocol for wireless body area network by Ullah, Fasee, Ullah, Zaka, Ahmad, Sheeraz, Islam, Ihtesham Ul, Rehman, Saeed Ur, Iqbal, Javed

“…Wireless body area network (WBAN) is the emerging field in domain of healthcare to monitor vital signs of patients with the support of bio-medical sensors. The…”
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Fast Codebook Generation Using Pattern Based Masking Algorithm for Image Compression by Bilal, Muhammad, Ullah, Zahid, Islam, Ihtesham Ul

“…Vector Quantization (VQ) is a classical block coding technique used for image compression which achieves high compression using simple encoding and decoding…”
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Subclass Discriminant Analysis of morphological and textural features for HEp-2 staining pattern classification by Di Cataldo, Santa, Bottino, Andrea, Ul Islam, Ihtesham, Figueiredo Vieira, Tiago, Ficarra, Elisa

“…Classifying HEp-2 fluorescence patterns in Indirect Immunofluorescence (IIF) HEp-2 cell imaging is important for the differential diagnosis of autoimmune…”
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Towards the automatic segmentation of HEp-2 cells in indirect immunofluorescence images using an efficient filtering based approach by Ul Islam, Ihtesham, Ullah, Khalil, Afaq, Muhammad, Iqbal, Javed, Ali, Amjad

“…The computer aided analysis of Indirect-Immunofluorescence (IIF) images is important for the differential diagnosis of several autoimmune diseases. A fully…”
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Energy loss prediction in nonoriented materials using machine learning techniques: A novel approach by Khan, Mahmood, Afaq, Muhammad, Islam, Ihtesham Ul, Iqbal, Javed, Shoaib, Muhammad

“…Traditional extrapolation performed by machine designers for energy loss estimation results in the decrease of the overall efficiency of electrical machines…”
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Spatio-temporal sEMG image enhancement and motor unit action potential (MUAP) detection: algorithms and their analysis by Islam, Ihtesham ul, Ullah, Khalil, Afaq, Muhammad, Chaudary, Muhammad Hasanain, Hanif, Muhammad Kashif

“…In spatiotemporal multi-channel surface electromyogram (EMG) images where the x-axis is time, the y-axis is EMG channels and the gray level is EMG amplitude,…”
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Unsupervised Cross-Domain Adaptation through Mutual Mean Learning and GANs for Person Re-identification by Yao, Leethar, Lin, Bo-Yu, Ul Haq, Qazi Mazhar, Ul Islam, Ihtesham

“…Unsupervised cross-domain adaptation is a challenging task for person re-identification due to the unavailability of target domain labels. Among existing…”
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The FG 2015 Kinship Verification in the Wild Evaluation by Jiwen Lu, Junlin Hu, Liong, Venice Erin, Xiuzhuang Zhou, Bottino, Andrea, Ul Islam, Ihtesham, Figueiredo Vieira, Tiago, Xiaoqian Qin, Xiaoyang Tan, Songcan Chen, Mahpod, Shahar, Keller, Yosi, Lilei Zheng, Idrissi, Khalid, Garcia, Christophe, Duffner, Stefan, Baskurt, Atilla, Castrillon-Santana, Modesto, Lorenzo-Navarro, Javier

“…The aim of the Kinship Verification in the Wild Evaluation (held in conjunction with the 2015 IEEE International Conference on Automatic Face and Gesture…”
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Towards 5G network slicing for vehicular ad-hoc networks: An end-to-end approach by Afaq, Muhammad, Iqbal, Javed, Ahmed, Talha, Ul Islam, Ihtesham, Khan, Murad, Khan, Muhammad Sohail

“…The upcoming 5G networks not only have to support increasing data rates but also must provide a common infrastructure on which new services with vastly…”
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A multi-perspective holistic approach to Kinship Verification in the Wild by Bottinok, Andrea, Islam, Ihtesham Ul, Vieira, Tiago Figueiredo

“…The automatic verification of kinship is a challenging problem that recently attracted much interest from the research community. It consists in telling…”
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An efficient SDN‐based LTE‐WiFi spectrum aggregation system for heterogeneous 5G networks by Abbas, Khizar, Afaq, Muhammad, Ahmed Khan, Talha, Rafiq, Adeel, Iqbal, Javed, Ul Islam, Ihtesham, Song, Wang‐Cheol

“…Summary Nowadays, the continuously increasing demand for high data traffic and providing different quality of services (QoS) to the customer are very…”
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Multi-feature-based crowd video modeling for visual event detection by Ullah, Habib, Islam, Ihtesham Ul, Ullah, Mohib, Afaq, Muhammad, Khan, Sultan Daud, Iqbal, Javed

“…We propose a novel method for modeling crowd video dynamics by adopting a two-stream convolutional architecture which incorporates spatial and temporal…”
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Energy-efficient auto-scaling of virtualized network function instances based on resource execution pattern by Mehmood, Asif, Muhammad, Afaq, Ahmed Khan, Talha, Diaz Rivera, Javier Jose, Iqbal, Javed, Ul Islam, Ihtesham, Song, Wang-Cheol

“…To scale virtualized network functions (VNF), information about computing resource utilization plays an important role. With the usage of both virtualized and…”
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Robust multi-scale orientation estimation: Directional filter bank based approach by Khan, Mohammad Asmat Ullah, Ullah, Khalil, Khan, Asif, Islam, Ihtesham Ul

“…Orientation estimation is considered as an important task in many subsequent pattern recognition and image enhancement systems. In a noisy environment, the…”
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Subclass Discriminant Analysis of morphological and textural features for HEp-2 staining pattern classification : ANALYSIS AND RECOGNITION OF IMMUNOFLUORESCENCE IMAGES by DI CATALDO, Santa, BOTTINO, Andrea, IHTESHAM UL ISLAM, VIEIRA, Tiago Figueiredo, FICARRA, Elisa

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A Novel Method for Facial Features Extraction Using Bilateral Filtering and Wavelet Transform by Khan, A., Ihtesham-Ul-Islam

“…In this paper we present a new approach to the problem of facial features extraction from a still facial image. The method does not need to process features…”
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Effective face pose classification method by Ihtesham-Ul-Islam, Khan, A., Intaek Kim

“…In this paper we present a novel appearance based approach to the problem of face pose classification. This method suggests the subject-independent pose…”
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