Pneumonia is among the top diseases which cause most of deaths all over world. Virus, bacteria and fungi can pneumonia. However, it difficult to judge pneumonia just by looking at chest X-rays. The aim this study simplify detection process for experts as well novices. We suggest a novel deep learning framework using concept transfer learning. In approach, features from images are extracted different neural network models pretrained on ImageNet, then fed into classifier prediction. prepared...

Google Colaboratory (also known as Colab) is a cloud service based on Jupyter Notebooks for disseminating machine learning education and research.It provides runtime fully configured deep free-of-charge access to robust GPU.This paper presents detailed analysis of regarding hardware resources, performance, limitations.This performed through the use accelerating computer vision other GPU-centric applications.The chosen test-cases are parallel tree-based combinatorial search two applications:...

The Internet of Things (IoT) is one the most promising technologies for near future. Healthcare and well-being will receive great benefits with evolution this technology. This paper presents a review techniques based on IoT healthcare ambient-assisted living, defined as Health (IoHT), recent publications products available in market from industry segment. Also, identifies technological advances made so far, analyzing challenges to be overcome provides an approach future trends. Through...

Advances in information and signal processing technologies have a significant impact on autonomous driving (AD), improving safety while minimizing the efforts of human drivers with help advanced artificial intelligence (AI) techniques. Recently, deep learning (DL) approaches solved several real-world problems complex nature. However, their strengths terms control processes for AD not been deeply investigated highlighted yet. This survey highlights power DL architectures reliability efficient...

Brain tumor is one of the most dangerous cancers in people all ages, and its grade recognition a challenging problem for radiologists health monitoring automated diagnosis. Recently, numerous methods based on deep learning have been presented literature brain classification (BTC) order to assist better diagnostic analysis. In this overview, we present an in-depth review surveys published so far recent learning-based BTC. Our survey covers main steps BTC methods, including preprocessing,...

Due to various challenging issues such as, computational complexity and more delay in cloud computing, edge computing has overtaken the conventional process by efficiently fairly allocating resources i.e., power battery lifetime Internet of things (IoT)-based industrial applications. In meantime, intelligent accurate resource management artificial intelligence (AI) become center attention especially With coordination AI at will remarkably enhance range speed IoT-based devices industries. But...

Internet of Things (IoT) is a term used to describe an environment where billions objects, constrained in terms resources ("things"), are connected the Internet, and interacting autonomously. With so many objects IoT solutions, which they placed becomes smarter. A software, called middleware, plays key role since it responsible for most intelligence IoT, integrating data from devices, allowing them communicate, make decisions based on collected data. Then, considering requirements platforms,...

The new coronavirus ( COVID-19 ) , declared by the World Health Organization as a pandemic, has infected more than 1 million people and killed 50 thousand. An infection caused can develop into pneumonia, which be detected chest X-ray exam should treated appropriately. In this work, we propose an automatic detection method for based on images. datasets constructed study are composed of 194 images patients diagnosed with healthy patients. Since few publicly available, apply concept transfer...

In the era of rapid development artificial intelligence, integration multimedia and human-artificial intelligence has become an important research hotspot. Especially in environment, effective remote visual monitoring exploration direction many scholars. The use traditional correlation filtering (CF) algorithm for real-time context is a practical strategy. However, most existing filtering-based algorithms still have problem insufficient robustness effectiveness. Therefore, by considering...

As one of the next-generation network technologies for data centers, wireless center networks have important research significance. Smart architecture optimization and management are vital networks. With ever-increasing demand resources, deployment servers on rise. However, traditional wired links among expensive inflexible. Benefitting from development intelligent other techniques, this article studies a high-speed topology A radio propagation model based heat map is constructed. The...

Global industry is undergoing major transformations with the genesis of a new paradigm known as Internet Things (IoT) its underlying technologies. Many company leaders are investing more effort and money in transforming their services to capitalize on benefits provided by IoT. Thereby, decision makers public waste management do not want be outdone, it challenging provide an efficient real-time system. This paper proposes solution (hardware, software, communications) that aims optimize...