Technology has played a vital part in improving quality of life, especially healthcare. Artificial intelligence (AI) and the Internet Things (IoT) are extensively employed to link accessible medical resources deliver dependable effective intelligent Body wearable devices have garnered attention as powerful for healthcare applications, leading various commercially available multiple purposes, including individual healthcare, activity alerts, fitness. The paper aims cover all advancements made...

Global Positioning System (GPS) is a well known navigation system for outdoor applications; however this technology does not work in indoor environments. In order to overcome limitation, Bluetooth can be employed. Furthermore, provides an accurate and low cost solution short range wireless communication. Most of the digital devices provide functionality which also makes it good candidate positioning. paper, we use positioning signal based parameters such as received power level position...

Summary In the competing era of online industries, understanding customer feedback and satisfaction is one important concern for any business organization. The well‐known social media platforms like Twitter are a place where customers share their feedbacks. Analyzing beneficial, as it provides an advantage way unveiling interests. proposed system, namely Senti‐eSystem , aims at development sentiment‐based eSystem using hybridized Fuzzy Deep Neural Network Measuring Customer Satisfaction to...

Internet of vehicles (IoVs) allows millions to be connected and share information for various purposes. The main applications IoVs are traffic management, emergency messages delivery, E-health, traffic, temperature monitoring. On the other hand, lack in location awareness geographic distribution, which is critical some such as smart lights sharing vehicles. To support these topographies, fog computing was proposed an appealing novel term, integrated with extend storage, computation,...

Machine learning (ML) is becoming more common in the insurance industry to predict costs and help set prices. Accurate predictions companies fair prices while keeping affordable for customers. However, many ML models are difficult understand, making it unclear how they make decisions. This study focuses on improving prediction accuracy easier interpret by using hyperparameter tuning with Optuna feature importance analysis SHAP (SHapley Additive Explanations). Three models—Ridge Regression,...

This paper presents an extended Kalman filter-based hybrid indoor position estimation technique which is based on integration of fingerprinting and trilateration approach. In this paper, Euclidian distance formula used for the first time instead radio propagation model to convert received signal estimates. combines features approach in a more simple robust way. The proposed works two stages. stage, it uses online phase calculates nearest neighbors (NN) target node, while second stage...

Emotion detection from the text is an important and challenging problem in analytics. The opinion-mining experts are focusing on development of emotion applications as they have received considerable attention online community including users business organization for collecting interpreting public emotions. However, most existing works used less efficient machine learning classifiers with limited datasets, resulting performance degradation. To overcome this issue, work aims at evaluation...

Abstract Received Signal Strength Indicator (RSSI) is the measurement of power in radio signal and a parameter for distance‐based measurements. Bluetooth Low Energy (BLE) an advance implementation Internet Things (IoT). BLE beacons‐based indoor positioning systems provide easy energy‐efficient, low deployment cost solution wide variety applications including smart phones. This paper presents in‐depth experimental study RSSI dense environment. Due to noise, fluctuations occur, which produces...

The feedback collection and analysis has remained an important subject matter for long. traditional techniques student are based on questionnaire-based data analysis. However, the ... | Find, read cite all research you need Tech Science Press

The development of the location based services and rapid advancement in communication has extensively increased researcher's interest an area localization systems. In context-aware computing, one key capability is determination. At present, indoor location-based systems use various techniques like Time Arrival (TOA), Difference (TDOA), Angle (AOA) Received Signal Strength Indicator (RSSI). This work focus on review different active passive developed over period time. common include as person...

A multilevel kernel-based interpolation method, suitable for moderately high-dimensional function problems, is proposed. The termed sparse (MLSKI, short), uses both levelwise and directionwise decomposition of structured (or mildly unstructured) data sites in conjunction with the application interpolants different scaling each direction. algorithm based on a hierarchical sites, whereby at level detail added to interpolant by interpolating resulting residual previous level. On level,...

Bluetooth is a low-cost and low-power short range wireless communication standard. Now days nearly all the portable devices are equipped with functionality. Due to its wide spread usage applications for communication, this technology can be used indoor position estimation. Currently, specifications provide two kinds of signal parameters which classified as connection-based inquiry-based parameters. Connection-based require an active connection between sender receiver, while do not...

Emotion detection from the text is a challenging problem in analytics. The opinion mining experts are focusing on development of emotion applications as they have received considerable attention online community including users and business organization for collecting interpreting public emotions. However, most existing works used less efficient machine learning classifiers with limited datasets, resulting performance degradation. To overcome this issue, work aims at evaluation different...

The proliferation of mobile phones has led to the rise crowdsensing systems. However, many these systems rely on deep cloud, which can be complex and challenging scale. To improve performance at edge truth-discovery methods are commonly employed. These typically involve updating either truth or weight associated with a user's task. While some cloud-based exist, they do not provide incentives users based their experience. In this report, we present new approach discovery incentive-giving that...

Due to recent advances in wireless gadgets and mobile computing, the location-based services have attracted attention of computing telecommunication industries launch fast accurate localization systems for tracking, monitoring navigation. Traditional lateration-based techniques limitations, such as error, modeling distance estimates from received signals. Fingerprinting based tracking solutions are also environment dependent. On other side, machine learning-based currently attracting...

Offline signature recognition has great importance in our day to activities. Researchers are trying use them as biometric identification various areas like banks, security systems and for other purposes. Fingerprints, iris, thumb impression face detection based biometrics successfully used of individuals because their static nature. However, people’s signatures show variability that makes it difficult recognize the original correctly biometrics. The handwritten have banks cheque, credit card...

Based on wireless sensor networks, device-free indoor localization technique has received much attention in the field of system Due to different environmental parameters, multipath fading, human presences and configurations, WiFi-based signal strength indicator values are affected. This problem leads researchers choose any filter or smoothing algorithm get proper environment. The aim using is a value which can clearly identify changes due interferences caused by various factors Wi-Fi based...

Internet of Things (IoT), an emerging technology, is becoming essential part today’s world. Machine learning (ML) algorithms play important role in various applications IoT. For decades, the location information has been extremely useful for humans to navigate both outdoor and indoor environments. Wi-Fi access point-based positioning systems get more popularity, as it avoids extra calibration expenses. The fingerprinting technique preferred environment does not require a signal’s Line Sight...