- Artificial Intelligence in Healthcare
- COVID-19 diagnosis using AI
- Smart Systems and Machine Learning
- Internet of Things and AI
- Data Management and Algorithms
- Organizational and Employee Performance
- IoT-based Smart Home Systems
- IoT and Edge/Fog Computing
- Machine Learning in Healthcare
- Cloud Data Security Solutions
- Artificial Intelligence in Healthcare and Education
- Network Security and Intrusion Detection
- COVID-19 epidemiological studies
- Cybersecurity and Cyber Warfare Studies
- Cardiovascular Health and Risk Factors
- Digital Marketing and Social Media
- Big Data and Business Intelligence
- FinTech, Crowdfunding, Digital Finance
- AI in Service Interactions
- Fuzzy Logic and Control Systems
- Obesity, Physical Activity, Diet
- Energy Efficient Wireless Sensor Networks
- Text and Document Classification Technologies
- Image and Video Quality Assessment
- Advanced Malware Detection Techniques
University of Houston
2012
This paper studies selected classification algorithms on medical datasets. The health datasets are Breast Cancer Data, Chronic Kidney Disease, Cryotherapy, Hepatitis, Immunotherapy, Indian Liver Patient Dataset (ILPD), Disorders, and disorders dataset. ILPD disorders, Pima diabetes, risk factors cervical cancer Statlog (Heart) Data Set dataset taken from the University of California at Irvine (UCI) repository. considered in this study Bagging, IBK, J48, JRip, Multilayer perceptron (MP) Naive...
<p>The lives of people are at risk from security and safety risks with Intelligent Transportation Systems (ITS), particularly Autonomous Vehicles. In contrast to manual vehicles, the Security an AV’s computer communications components may be penetrated using sophisticated hacking methods, preventing us employing AVs in our daily lives. The Internet Vehicles, which connects automobiles Internet, is vulnerable cyber-attacks such as lack service, spoofing, sniffer, widespread denial...
To understand function of proteins in living bodies we need to derive the protein sequences genome sequencing projects. For this purpose, can use various tools or latest computational methods. These methods are related functions directly. Nuclear magnetic resonance (NMR) is helpful make 3 D structure. We're using a unique method determine structures paper. 1491 have been taken consideration from BMRB - Biological Magnetic Resonance Bank. The structural categorization (SCOP) was useful...
The Internet of Things (IoT) is a network computing devices that can transmit and obtain data across without human intervention. In the last couple decades, software communication technology have advanced tremendously, resulting in considerable increase IoT devices. rapid expansion has raised security privacy issues. Threats malware attacks on increased dramatically recently. Hence, this paper, we proposed novel detection framework based machine learning using Genetic Cascaded Support Vector...
Cloud Computing is an Internet computing model in which client PCs access pooled resources, software, and data via web/cloud servers. Health IT refers to computer systems that handle the electronic health records of patients based on make cloud easier for people, organizations, companies; Large firms have already invested millions dollars infrastructure, services, tools, apps. The healthcare industry still so diversified, complex, distinctive, it must be established interesting examine how...
The effect of physical activity on the weight loss outcomes post bariatric surgery is not well understood. This study set out to determine if there was a correlation between levels patients and their percent excess following surgery.
Cyber Crime is a deliberate batter of fraudulent technological practice or psychological assault to divulge the sensible information knowingly unknowingly, with without authorization.At present, cyber attackers have adopted those criminal techniques most up-to-date technology on internet and committing crimes.Approximately, one billion people experienced crime in last calendar year which costs approximately $445 billion.A concerted effort by all governments nations should frame policies that...
In early days, with dense population, Indian doctors have a look for novel solutions constant monitoring on patient's health check-up. general, it needsnumerous visits to the hospital doctor's consultation, which involves not only money but intense time. Now, technology has advanced by means of internet things (IoT), make all interconnected and recognized as progressive measure technical revolt. Medical gadgets usage became efficient permitting real-time observations uninterruptedly. It is...
The study explores because of the rising complexity and volume data in medical technology, artificial intelligence (AI) will be used more frequently. Various forms have already been by consumers providers care, as well health sciences firms. Diagnose therapy suggestions, patient involvement compliance, administrative tasks are most common types applications. Although there numerous cases where AI can do technology activities or superior than humans, operational issues prohibit large-scale...
Computer without network connectivity is an exception today. Earlier everyone was using the computer to solve its individual problem. Now a days these problems related application not available on standalone desktop, applications are working as client server application. In this system, part at some remote machine while user's machine. Cloud computing implemented four deployment models private cloud, public cloud hybrid and community cloud. Some of user organization feels that data can be...
Collaborative Filtering (CF) Recommendation System is a prominent technology which widely online. Large variety of available CF algorithms and the multitude their possible parameters have huge impact on quality outcome ECommerce. Unfortunately, literature recommender system evaluation presents different metrics at situation could not provide any suggestion about best. At same time, it fact to accept that accuracy measure should be for each algorithm depends upon classification particular...
Abstract World Health Organization (WHO) declared the coronavirus diseases COVID-19 is pandemic, as virus SARS-CoV2, which causes (COVID-19) and it variants has spread all over world. This pandemic disease, primarily described an infectious disease-causing severe acute respiratory syndrome (SARS). Later transforms into 2 (SARS-CoV-2) virion variant. These have emerged across globe with deceptively higher transmissibility immunity deteriorate capabilities. In this research paper, proposed to...
The World Health Organization (WHO) has declared COVID-19 a pandemic, as the SARS-CoV-2 virus and its variants have spread worldwide, causing coronavirus diseases (COVID-19). is primarily described an infectious disease that leads to severe acute respiratory syndrome (SARS), later transforming into 2 (SARS-CoV-2) virion variant. These emerged globally with deceptively higher transmissibility immune evasion capabilities. In this research paper, we propose compare several ML algorithms predict...