Institution
Information Technology University
Education•Lahore, Pakistan•
About: Information Technology University is a education organization based out in Lahore, Pakistan. It is known for research contribution in the topics: Cloud computing & Computer science. The organization has 9260 authors who have published 13001 publications receiving 236419 citations. The organization is also known as: ITU.
Topics: Cloud computing, Computer science, Artificial neural network, Cluster analysis, The Internet
Papers published on a yearly basis
Papers
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TL;DR: The focus of this review is to provide in-depth summaries of deep learning methods for mobile and wearable sensor-based human activity recognition, and categorise the studies into generative, discriminative and hybrid methods.
Abstract: Human activity recognition systems are developed as part of a framework to enable continuous monitoring of human behaviours in the area of ambient assisted living, sports injury detection, elderly care, rehabilitation, and entertainment and surveillance in smart home environments. The extraction of relevant features is the most challenging part of the mobile and wearable sensor-based human activity recognition pipeline. Feature extraction influences the algorithm performance and reduces computation time and complexity. However, current human activity recognition relies on handcrafted features that are incapable of handling complex activities especially with the current influx of multimodal and high dimensional sensor data. With the emergence of deep learning and increased computation powers, deep learning and artificial intelligence methods are being adopted for automatic feature learning in diverse areas like health, image classification, and recently, for feature extraction and classification of simple and complex human activity recognition in mobile and wearable sensors. Furthermore, the fusion of mobile or wearable sensors and deep learning methods for feature learning provide diversity, offers higher generalisation, and tackles challenging issues in human activity recognition. The focus of this review is to provide in-depth summaries of deep learning methods for mobile and wearable sensor-based human activity recognition. The review presents the methods, uniqueness, advantages and their limitations. We not only categorise the studies into generative, discriminative and hybrid methods but also highlight their important advantages. Furthermore, the review presents classification and evaluation procedures and discusses publicly available datasets for mobile sensor human activity recognition. Finally, we outline and explain some challenges to open research problems that require further research and improvements.
601 citations
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TL;DR: This article discusses the importance of Edge computing in real life scenarios where response time constitutes the fundamental requirement for many applications and identifies the requirements and discusses open research challenges in Edge computing.
590 citations
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TL;DR: It is shown that the maximum number of targets that can be uniquely identified by the MIMO radar is up to Mt times that of its phased-array counterpart, where Mt is the number of transmit antennas.
Abstract: A multi-input multi-output (MIMO) radar system, unlike a standard phased-array radar, can transmit multiple linearly independent probing signals via its antennas. We show herein that this waveform diversity enables the MIMO radar to significantly improve its parameter identifiability. Specifically, we show that the maximum number of targets that can be uniquely identified by the MIMO radar is up to Mt times that of its phased-array counterpart, where Mt is the number of transmit antennas.
589 citations
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TL;DR: In this paper, the authors discuss the most representative examples of hidden attractors, discuss their theoretical properties and experimental observations, and also describe numerical methods which allow identification of the hidden attractor.
569 citations
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TL;DR: The sperm mitochondria make a significant contribution to the oxidative stress experienced by defective human spermatozoa, as well as the subcellular origins of this activity are unclear.
Abstract: Context: Male infertility has been linked with the excessive generation of reactive oxygen species (ROS) by defective spermatozoa. However, the subcellular origins of this activity are unclear. Objective: The objective of this study was to determine the importance of sperm mitochondria in creating the oxidative stress associated with defective sperm function. Method: Intracellular measurement of mitochondrial ROS generation and lipid peroxidation was performed using the fluorescent probes MitoSOX red and BODIPY C11 in conjunction with flow cytometry. Effects on sperm movement were measured by computer-assisted sperm analysis. Results: Disruption of mitochondrial electron transport flow in human spermatozoa resulted in generation of ROS from complex I (rotenone sensitive) or III (myxothiazol, antimycin A sensitive) via mechanisms that were independent of mitochondrial membrane potential. Activation of ROS generation at complex III led to the rapid release of hydrogen peroxide into the extracellular space, ...
558 citations
Authors
Showing all 9271 results
Name | H-index | Papers | Citations |
---|---|---|---|
Dacheng Tao | 133 | 1362 | 68263 |
Jian-Guo Bian | 128 | 1219 | 80964 |
Josef Hammer | 120 | 631 | 60840 |
David I. Stuart | 113 | 594 | 49733 |
Xuemin Shen | 106 | 1221 | 44959 |
Hung T. Nguyen | 102 | 1011 | 47693 |
Petre Stoica | 101 | 752 | 54266 |
Jürgen Schmidhuber | 99 | 539 | 122453 |
Biswajeet Pradhan | 98 | 735 | 32900 |
Shuzhi Sam Ge | 97 | 883 | 40865 |
Jun Ma | 97 | 1338 | 39643 |
Jing Zhang | 95 | 1271 | 42163 |
Arun Kumar | 93 | 441 | 39938 |
Roel Baets | 91 | 1158 | 34593 |
Ravi Naidu | 89 | 830 | 34739 |