An intelligent framework using disruptive technologies for COVID-19 analysis.

Communication using chaotic systems is considered from a control point of view It is shown that parameter identification methods may be effective in building reconstruction mechanisms, even when a synchronizing system is not available. Three worked examples show the potentials of the proposed method.

System identification in communication with chaotic systems

Background/objectives The Internet of Things (IoT) can create disruptive innovation in healthcare Thus, during COVID-19 Pandemic, there is a need to study different applications of IoT enabled healthcare For this, a brief study is required for research directions Methods Research papers on IoT in healthcare and COVID-19 Pandemic are studied to identify this technology’s capabilities This literature-based study may guide professionals in envisaging solutions to related problems and fighting against the COVID-19 type pandemic Results Briefly studied the significant achievements of IoT with the help of a process chart Then identifies seven major technologies of IoT that seem helpful for healthcare during COVID-19 Pandemic Finally, the study identifies sixteen basic IoT applications for the medical field during the COVID-19 Pandemic with a brief description of them Conclusions In the current scenario, advanced information technologies have opened a new door to innovation in our daily lives Out of these information technologies, the Internet of Things is an emerging technology that provides enhancement and better solutions in the medical field, like proper medical record-keeping, sampling, integration of devices, and causes of diseases IoT’s sensor-based technology provides an excellent capability to reduce the risk of surgery during complicated cases and helpful for COVID-19 type pandemic In the medical field, IoT’s focus is to help perform the treatment of different COVID-19 cases precisely It makes the surgeon job easier by minimising risks and increasing the overall performance By using this technology, doctors can easily detect changes in critical parameters of the COVID-19 patient This information-based service opens up new healthcare opportunities as it moves towards the best way of an information system to adapt world-class results as it enables improvement of treatment systems in the hospital Medical students can now be better trained for disease detection and well guided for the future course of action IoT’s proper usage can help correctly resolve different medical challenges like speed, price, and complexity It can easily be customised to monitor calorific intake and treatment like asthma, diabetes, and arthritis of the COVID-19 patient This digitally controlled health management system can improve the overall performance of healthcare during COVID-19 pandemic days

Internet of Things (IoT) enabled healthcare helps to take the challenges of COVID-19 Pandemic

The advancements of information technology and related processing techniques have created a fertile base for progress in many scientific fields and industries. In the fields of drug discovery and development, machine learning techniques have been used for the development of novel drug candidates. The methods for designing drug targets and novel drug discovery now routinely combine machine learning and deep learning algorithms to enhance the efficiency, efficacy, and quality of developed outputs. The generation and incorporation of big data, through technologies such as high-throughput screening and high through-put computational analysis of databases used for both lead and target discovery, has increased the reliability of the machine learning and deep learning incorporated techniques. The use of these virtual screening and encompassing online information has also been highlighted in developing lead synthesis pathways. In this review, machine learning and deep learning algorithms utilized in drug discovery and associated techniques will be discussed. The applications that produce promising results and methods will be reviewed.

/pdf/machine-learning-methods-in-drug-discovery-5ay4j3jh1p.pdf

Machine Learning Methods in Drug Discovery.

Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of grave concern for every country around the world. The rapid growth of the pandemic has wreaked havoc and prompted the need for immediate reactions to curb the effects. To manage the problems, many research in a variety of area of science have started studying the issue. Artificial Intelligence is among the area of science that has found great applications in tackling the problem in many aspects. Here, we perform an overview on the applications of AI in a variety of fields including diagnosis of the disease via different types of tests and symptoms, monitoring patients, identifying severity of a patient, processing covid-19 related imaging tests, epidemiology, pharmaceutical studies, etc. The aim of this paper is to perform a comprehensive survey on the applications of AI in battling against the difficulties the outbreak has caused. Thus we cover every way that AI approaches have been employed and to cover all the research until the writing of this paper. We try organize the works in a way that overall picture is comprehensible. Such a picture, although full of details, is very helpful in understand where AI sits in current pandemonium. We also tried to conclude the paper with ideas on how the problems can be tackled in a better way and provide some suggestions for future works.

/pdf/applications-of-artificial-intelligence-in-battling-against-18cfgukc2t.pdf

Applications of artificial intelligence in battling against covid-19: A literature review.

Background and aim In the age of advanced digital technology, smart healthcare based on the Internet of Things (IoT) is gaining importance to deal with the current COVID-19 pandemic. In this paper, the novel application of cognitive radio (CR) based IoT specific for the medical domain referred to as Cognitive Internet of Medical Things (CIoMT) is explored to tackle the global challenge. This concept of CIoT is best suited to this pandemic as every person is to be connected and monitored through a massive network that requires efficient spectrum management. Methods An extensive literature survey is conducted in the Google Scholar, Scopus, PubMed, Research Gate, and IEEE Xplore databases using the terms “COVID-19” and “Cognitive IoT” or “Corona virus” and “IoMT”. The latest data and inputs from official websites and reports are used for further investigation and analysis of the application areas. Results This review encompasses different novel applications of CIoMT for fighting the ongoing COVID-19 health crisis. The CR based dynamic spectrum allocation technique is the solution for accommodating a massive number of devices and a wide number of applications. The CIoMT platform enables real-time tracking, remote health monitoring, rapid diagnosis of the cases, contact tracking, clustering, screening, and surveillance thus, reducing the workload on the medical industry for prevention and control of the infection. The challenges and future research directions are also identified. Conclusions CIoMT is a promising technology for rapid diagnosis, dynamic monitoring and tracking, better treatment and control without spreading the virus to others.

/pdf/application-of-cognitive-internet-of-medical-things-for-kslxv5fukl.pdf

Application of cognitive Internet of Medical Things for COVID-19 pandemic.

Background and aim COVID-19 outbreak has created havoc and a quick cure for the disease will be a therapeutic medicine that has usage history in patients to resolve the current pandemic. With technological advancements in Artificial Intelligence (AI) coupled with increased computational power, the AI-empowered drug repurposing can prove beneficial in the COVID-19 scenario. Methods The recent literature is studied and analyzed from various sources such as Scopus, Google Scholar, PubMed, and IEEE Xplore databases. The search terms used are ‘COVID-19′, ’ AI ′, and ‘Drug Repurposing’. Results AI is implemented in the field design through the generation of the learning-prediction model and performs a quick virtual screening to accurately display the output. With a drug-repositioning strategy, AI can quickly detect drugs that can fight against emerging diseases such as COVID-19. This technology has the potential to improve the drug discovery, planning, treatment, and reported outcomes of the COVID-19 patient, being an evidence-based medical tool. Conclusions Thus, there are chances that the application of the AI approach in drug discovery is feasible. With prior usage experiences in patients, few of the old drugs, if shown active against SARS-CoV-2, can be readily applied to treat the COVID-19 patients. With the collaboration of AI with pharmacology, the efficiency of drug repurposing can improve significantly.

/pdf/application-of-artificial-intelligence-in-covid-19-drug-1arho2h8bh.pdf

Application of Artificial Intelligence in COVID-19 drug repurposing.

Geographic and linguistic distances are becoming less relevant due to digital technology advances. Due to digitalization, E-commerce is one of the many technological breakthroughs that have directly and indirectly impacted consumers' lives. With the rise of e-commerce, consumers may more easily choose items that meet their interests, and quality and reputation can be verified. For this reason, e-commerce businesses have risen to prominence in consumers' lives. Customers may engage with sellers and buyers via online and mobile platforms for a unique selling or purchasing experience because the e-commerce industry relies on digital technologies. But with time, this market became opaque due to the monopolistic practices of some of the world's largest e-commerce companies, who began to exert influence over consumer purchasing habits. Those players' interests must be safeguarded in a country like India, where small retail firms control more than 80 percent of the retail segment. As a measure, the Indian government developed a new concept called Open Network for Digital Commerce (ONDC) to protect merchants and buyers. When it comes to online shopping, this ONDC architecture is going to have a significant impact. Without a doubt, ONDC is addressing numerous concerns regarding future Indian e-commerce challenges, even though it is unclear what ONDC aims to achieve with the network's many building pieces or what privacy and security protections it intends to put in place for data interchange. All the befits and challenges of ONDC are highlighted in this article.Â 

A Review of ONDC's Digital Warfare in India Taking on the e-Commerce Giants

Reporting cell planning-based cellular mobility management using a Binary Artificial Bat algorithm.

Bio-inspired computing-based techniques are gaining importance in the current engineering research domain, particularly for solving complex optimization problems. These are stochastic search techniques which are developed to achieve near-optimal solutions to large-scale optimization problems. The conventional mathematical optimization methods often fail as the solutions are trapped in local optima, which gave rise to the development of alternate derivative free metaheuristic global optimization techniques. In recent times, the bio-inspired algorithms have been explored for various applications and their performance is as good as or better than that of conventional techniques. The main focus of this work is to introduce the important bio-inspired techniques available in the literature. These are not exhaustive and many new optimization algorithms inspired by natural processes are developed day-by-day. The method of development, implementation and the corresponding step-wise description is highlighted using flow diagrams and application of these techniques for selected areas of wireless communication is discussed.

Swati Swayamsiddha

Papers

Application of cognitive Internet of Medical Things for COVID-19 pandemic.

Application of Artificial Intelligence in COVID-19 drug repurposing.

A Review of ONDC's Digital Warfare in India Taking on the e-Commerce Giants

Reporting cell planning-based cellular mobility management using a Binary Artificial Bat algorithm.

Bio-inspired algorithms: principles, implementation, and applications to wireless communication