Traffic management system is a cornerstone of Smart city. In the current problems world, urban mobility one major problems, especially in metropolitan cities. Previous traffic systems are not capable enough to tackle this growth on road networks. The purpose paper propose smart using Internet Things and decentralized approach optimize roads intelligent algorithms manage all situations more accurately. This proposed overcoming flaws previous systems. takes density as input from cameras which...

Traffic management system is a cornerstone of Smart city. In the current problems world, urban mobility one major problems, especially in metropolitan cities. Previous traffic systems are not capable enough to tackle this growth on road networks. The purpose paper propose smart using Internet Things and decentralized approach optimize roads intelligent algorithms manage all situations more accurately. This proposed overcoming flaws previous systems. takes density as input from cameras which...

The objective of this research is to develop an effective cardiovascular disease prediction framework using machine learning techniques and achieve high accuracy for the disease.

The liver is the largest organ of human body with more than 500 vital functions. In recent decades, a large number patients have been reported diseases such as cirrhosis, fibrosis, or other disorders. There need for effective, early, and accurate identification individuals suffering from disease so that person may recover before spreads becomes fatal. For this, applications machine learning are playing significant role. Despite advancements, existing systems remain inconsistent in...

Among Women, Breast cancer is one of the maximum occurring diseases. Many women die every year because breast globally. Early prediction and diagnosis this disease can prevent death in end. The survival rate increases on detecting early as better treatment be provided. Development necessary for life people. A higher amount accuracy aspects also survivability patients. It apparent that there are different techniques available detection but machine learning algorithms bring a large...

The inevitable revolution of the Internet Things (IoT) and its benefits can be witnessed everywhere. Two major issues related to IoT are interoperability identification trustworthy things. proposed Context-Aware Trustworthy Social Web System (CATSWoTS) addresses issue by incorporating web technologies including Service Oriented Architecture where each thing plays role a service provider as well consumer. aspect social helps in getting recommendations from relations. It was identified that...

Phishing is the number one threat in world of internet. attacks are from decades and with each passing year it becoming a major problem for internet users as attackers coming unique creative ideas to breach security. In this paper, different types phishing anti-phishing techniques presented. For purpose, Systematic Literature Review(SLR) approach followed critically define proposed research questions. At first 80 articles were extracted repositories. These then filtered out using Tollgate...

Water is an essential need for all living things. The problem people are facing especially in urban areas the diseases that have been caused by water which mainly Dengue or malaria because there many metals such as ammonium aluminum silver and other bacterial viral things present water. first step toward a healthy lifestyle to drink purified In this paper, methodology has used here detect whether using drinking purposes safe enough use not data set specific binomial type yes no, 912 positive...

Putting trust in the world of Internet Things, where served and serving entities are often unknown, is very hard especially when personal business information being exchanged for providing consuming services. Moreover, issues interoperability scalability billions heterogeneous things IoT systems require more attention. A user-centric model complex interconnected must be designed a way that not only makes trustworthy common people but it also provides solution scalability. ARCA-IoT such...

Hepatitis C is an ailment that causes inflammation of the liver and leads to serious damage. In previous research, accuracy model wasn't accurate but differences this paper made worked well for prediction disease. dataset, there are mainly four categories (Blood Donor, Suspected Blood Fibrosis, Cirrhosis) used labeled. Its data type polynomial with 0 missing values. The minimum value in category 7 suspect blood donors most 533 a donor. machine learning algorithms medical approaches...

Monkey pox is a viral disease that spreads from animals especially monkey to human beings. outbreak has been increasing at concerning rate. The of infected several people around the world. extent and intensity can be determined by occurrence symptoms. objective this paper predict monkeypox virus so administered before looms as health hazard. case classified confirmed, discarded suspected. This uses supervised machine learning model status case. To diagnose case, clinical parameters are...

The purpose of this study is to develop a reliable decision support system for predicting the survival heart failure patients. Over time, disease (CVD) has become one most visible diseases in world. major factors Heart are Sex, cholesterol, high blood pressure, stress, age, Exercise Angina, and Resting ECG. Many researchers have proposed several methods early diagnosis on bases these features. However, due hereditary critique life-threatening risks, it important improve accuracy techniques...

Diabetes Mellitus is a common issue all over the world. There are many cases of diabetes that recorded on daily bases. This chronic disease takes entire life patient to recover from his health. The doctor can save it only in early stages because if last stage, would be almost impossible for patients diabetes. system proposed provide best solution prediction So detects an stage. main purpose research go ahead and improve detection model doctors predict patient's efficiently. Many papers...

People having visual impairment can't perform routine tasks on their own such that they are obliged to even the simplest task with assistance. Since issue be resolved glasses or lenses, various mode of advancing technologies is playing an immense role in aiding them. Plenty research work and development gadgets have been proposed regarding assistance visually impaired people. From deep learning along sensor-based initiative systems ranges software developed but until now every system heeds a...

Diabetes is a chronic disease that occurs when the sugar level too high in body or doesn't make enough insulin and it impacts each individual of all age groups. It has captivating history increased significantly recent years as result urbanization affected millions people worldwide. Undiagnosed diabetes can cause many life-threatening diseases which usually lead to death person. So, early detection very vital maintain healthy life help prevent complications reduce patients' health risks....

In recent past, the Internet of Things (IoT) has revolutionized world. Web (WoT) is a paradigm which comes under umbrella IoT. This result communication solutions through web technologies resultantly ensuring interoperability among heterogeneous things. Such connectivity things many advantages, however, quality services provided by these needs to be reputed and trustworthy. this paper, trust evaluation method using genetic algorithm for SOA-based Social WoT system been proposed. The...