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Biography Video
Hamed Taherdoost
Hamed Taherdoost is an award-winning leader and research and development professional. He is the Founder of Hamta Group | Hamta Business Solution and Associate Professor at University Canada West. He has over 20 years of experience in both industry and academic sectors. He has worked at international companies from Cyprus, the UK, Malta, Iran, Malaysia, and Canada and has been highly involved in
  • 687
  • 09 Feb 2023
Topic Review
Background of Machine/Deep Learning Approaches on Mental Health
Mental health can be seen as a person’s emotional, psychological, and social well-being. It can be harmed by various mental health conditions, which negatively influence a person’s intellectual capacity, emotions, and social relationships. Machine learning (ML) is a subfield of artificial intelligence (AI) that deals with three problems: classification, regression, and clustering. It utilizes data and algorithms to mimic how people learn while progressively improving accuracy in various tasks.
  • 547
  • 08 Feb 2023
Topic Review
Applications of Hybrid Nanofluids
In response to the issues of environment, climate, and human health coupled with the growing demand for energy due to increasing population and technological advancement, the concept of sustainable and renewable energy is presently receiving unprecedented attention. To achieve these feats, energy savings and efficiency are crucial in terms of the development of energy-efficient devices and thermal fluids. Limitations associated with the use of conventional thermal fluids led to the discovery of energy-efficient fluids called “nanofluids, which are established to be better than conventional thermal fluids. The research progress on nanofluids has led to the development of the advanced nanofluids coined “hybrid nanofluids” (HNFs) found to possess superior thermal-optical properties than conventional thermal fluids and nanofluids. 
  • 405
  • 08 Feb 2023
Topic Review
Data Link in IoT WSNs
The Internet of things (IoT) and wireless sensor networks (WSNs) have been rapidly and tremendously developing recently as computing technologies have brought about a significant revolution. Their applications and implementations can be found all around us, either individually or collaboratively. WSN plays a leading role in developing the general flexibility of industrial resources in terms of increasing productivity in the IoT. The critical principle of the IoT is to make existing businesses sufficiently intelligent to recognize the need for significant fault mitigation and short-cycle adaptation to improve effectiveness and financial profits. 
  • 1.3K
  • 07 Feb 2023
Topic Review
Deep Learning Techniques in Fault Diagnosis and Prognosis
The fault diagnosis and prognosis (FDP) technique based on data-driven machine learning (ML) methods recognizes or learns the health features of the system from historical data, and tries to discover and mine the information hidden in the data, so that it can accurately analyze and predict future system behavior without precisely knowing the forward physical model.
  • 614
  • 06 Feb 2023
Topic Review
Computer Vision Technology for Physical Exercise Monitoring
Physical activity is movement of the body or part of the body to make the muscles more active and to lose the energy from the body. Regular physical activity in the daily routine is very important to maintain good physical and mental health. It can be performed at home, a rehabilitation center, gym, etc., with a regular monitoring system. How long and which physical activity is essential for specific people is very important to know because it depends on age, sex, time, people that have specific diseases, etc. Therefore, it is essential to monitor physical activity either at a physical activity center or even at home. Physiological parameter monitoring using contact sensor technology has been practiced for a long time.
  • 415
  • 06 Feb 2023
Topic Review
Blockchain-Based Internet of Medical Things
The Internet of Things (IoT) or other decentralized platforms may be employed in this context for achieving dispersed coverage. In light of this, healthcare systems are a crucial IoT application. Internet of Medical Things (IoMT) is the kind of IoT that is used in the healthcare industry. IoMTs are the wave of the future in healthcare since they will enable the connectivity and remote monitoring of all medical equipment. Due to these developments, healthcare may now be provided more rapidly and at a lower cost. Medical workers (nurses, physicians, etc.), medical data servers, and medical sensor equipment make up the bulk of an IoMT system that provides remote healthcare.
  • 592
  • 06 Feb 2023
Topic Review
List of Doom Source Ports
This article is a list of unofficial source ports of the Doom engine, which was originally used in the video game Doom. Most often, the source ports presented here are modifications made by the Doom community, as opposed to the official Doom versions produced by id Software or affiliated companies. The Doom engine's source code was released to the public on December 23, 1997. Although Doom was originally created for MS-DOS, the original source release was for the subsequent Linux version, due to the use of a proprietary sound library in the DOS version. The original purpose of source ports was cross-platform compatibility, but shortly after the release of the Doom source code, programmers were correcting old, unaddressed Doom bugs and deficiencies in their own source ports, and later on introducing their own modifications to enhance game features and alter gameplay. The source code was originally released under a proprietary license that prohibited commercial use and did not require programmers to provide the source code for the modifications they released in executable form, but it was later re-released on October 3, 1999 under the GNU General Public License after requests from the community.
  • 3.0K
  • 06 Feb 2023
Topic Review
Adaptive Seasonal Auto-Regressive Integrated Moving Average Model
Harvesting energy from solar radiation has emerged as an effective approach to prolong the lifetime of outdoor energy harvesting sensor networks. The harvested energy must be carefully managed to ensure that sufficient energy is available when solar energy is scarce. For the prediction problem of solar energy power harvesting, an adaptive seasonal auto-regressive integrated moving average model (ASARIMA) for solar energy harvesting prediction.
  • 311
  • 03 Feb 2023
Topic Review
Infrared and Visible Image Fusion Technologies
Infrared and visible image fusion is to combine the information of thermal radiation and detailed texture from the two images into one informative fused image. Deep learning methods have been widely applied in this task; however, those methods usually fuse multiple extracted features with the same fusion strategy, which ignores the differences in the representation of these features, resulting in the loss of information in the fusion process. Infrared and visible image fusion techniques can be divided into two categories: traditional methods and deep learning-based methods. Traditional methods have been proposed for the fusion of pixel-level or fixed features. 
  • 442
  • 03 Feb 2023
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