ABSTRACT Diabetes presents a major global health challenge, with an increasing prevalence worldwide. Early detection and continuous glucose monitoring are pivotal to effective diabetes management. Optical sensing is promising noninvasive alternative traditional methods, such as finger‐prick blood tests. This study explores the cutting‐edge techniques employed in optical sensing, Fluorescence, Raman spectroscopy, near‐infrared spectroscopy. Recent advancements nanotechnology, photonic...

Context and Background: Since December 2019, the coronavirus (COVID-19) epidemic has sparked considerable alarm among general community significantly affected societal attitudes perceptions. Apart from disease itself, many people suffer anxiety depression due to present threat of an outbreak. Due fast propagation virus misleading/fake information, issues public discourse alter, resulting in significant confusion certain places. Rumours are unproven facts or stories that propagate promote...

City zones have become increasingly overcrowded due to the extensive population widening ratio and swift relocation of people from villages. The traffic monitoring process is a significant issue in these areas massive flow on roads. This research proposed cluster-based improved authentication communication protocol for an Intelligent Transportation System Vehicular AdHoc Networks (VANETs). Our primary objective optimize resource sharing vehicular communication. We enhanced reliability,...

Abstract To maintain the competitive edge and evaluating needs of quality app is in mobile application market. The user’s feedback on these applications plays an essential role development industry. rapid growth web technology gave people opportunity to interact express their review, rate share about applications. In this paper we have scrapped 506259 user reviews from Google Play Store 14 different categories. statistical information was measured results using common machine learning...

An actual cropland extent product with a high spatial resolution precision of up to 60 m is believed be particularly significant in tackling numerous water security concerns and world food challenges. To advance the development niche, advanced goods such as crop variety techniques, intensities, production, irrigation, it necessary examine how products typically span narrow or expansive farmlands. Some existing challenges are processing by constructing precision-high cropland-wide items...

There are millions of applications uploaded by the developers on daily basis. Without any check and balance users download these applications. Theses duplicated damage trust Google play store can grab confidential information user. is no more provided front end application that define legitimacy application. In this paper, using a Google-play-scraper build dataset with all categories games. Scraping at least 550 each category games in free respectively paid scraper, cumulatively scrape 3600...

The forecast of frost occurrence requires complex decision analysis that uses conditional probabilities. Due to events, the production crops and flowers gets reduced, we must predict this event minimize damages. If prediction results are accurate, then damage caused by can be reduced. In paper, an ensemble learning approach is used detect events with Convolutional Neural Network (CNN). We have get more efficient accurate results. Frost need predicted earlier so farmer take on-time...

Stroke, also known as a cerebrovascular accident, is medical emergency that causes temporary or permanent behavioral dysfunction in people. Sleep deprivation affects our brains variety of ways. The advantages sleep much justify the risks not having enough sleep. (SD) includes factors, including prolonged awake. Neuroimaging investigates SD’s impact on attention, working memory, mood, and hippocampal learning. We analyzed how this data enriches mechanistic understanding these alterations...

Acquiring sensitive information from the user in some malicious web pages which looks like legitimate webpage and they do a kind of criminal activity that is known as phishing electronic world. An attacker can use this or fraud by using such websites, severe risk to users for their personal confidential information. So, field e-banking e-commerce, act makes threat all users. In paper mainly discerning different features legitimate, suspicious websites. These are fed machine learning...

City zones have become increasingly overcrowded as a result of the extensive population widening ratio and swift relocation people from villages. The traffic monitoring process is major issue in these areas due to massive flow on roads. This research proposed cluster-based improved authentication communication scheme for an Intelligent Transportation System Vehicular AdHoc Networks (VANETs). Our primary objective optimize resource sharing vehicular communication. We enhanced reliability,...

Food provenance is one of the most challenging problems that FSC. companies face today. A global supply chain network with multiple operating procedures and asymmetrical food regulations between countries makes end-to-end tracking incidental to industry. Blockchain empowers new kinds distributed applications design. Initially, technology has been embraced in electronic money, yet this tech significantly more promising for different areas loo. In paper, are getting present easily....

Patient wears a heartbeat sensor bracelet and set the settings accordingly. Doctors get notification via different use of technology if patient's is out range to given specific limits monitor heart rate very important for patients because it shows condition there any disease that will be identifiable. Although Electrocardiography (ECG) used check heartbeat, machine rare form. A method could which in sizes shapes are more natural way measure most them available smart straps, smartphone so on....

In a smart city, the use of wireless sensor network is an emerging technology, and it provides many benefits in terms communication, energy, cost. We have focused on energy efficient lighting system. our proposed model we divided street lights usage into three categories: low, moderate high. The light low daylight, when average traffic roads high heavy roads. Street turn vehicle enters passage after sensing its entry within region. deployed system with facility solar panel so that devices...

Agribusiness occupies the lion's share of Pakistan's land. It also supports financial situation. Approximately 62% population lives in rural regions and relies on agriculture for a portion their income. Pakistan is now 5th-largest producer cotton 3rd-largest consumer/manufacturer yarn worldwide. Cotton grown 6.0 million acres by 1.3 country's 5 farmers, or around 15% total cultivated fields are plagued various illnesses that may have devastating effect quality quantity crop. Detection these...

It has been seen that most of the accidents occur due to driver’s fatigue. Drowsiness is a state mind before driver falls asleep, which means could not accomplish his actions, such as vehicular braking, controlling motion, properly. We have built an Internet things–based medical application analyze drowsiness. An architecture proposed and simulation scenario in NS3 WSN tool done. This shows ratio can be majorly reduced. When drowsiness drivers captured, message alert delivered all other...

The world today has become a competitive place, whether it is in sports, entertainment, or the job market. Users need to allocate an extraordinary amount of time for their routine works with little distraction. It truism that all life aspects, aspects life. They found out people generally spend one hour daily front mirror. This paper introduces Interactive Multimedia-futuristic Live Mirror by using concept Artificial Intelligence commercial use as well smart home environment. data collection...

Robots remain the focus of researchers and developers, now they are moving towards IoT based devices mobile robots to take advantage different sensor enables facilities. A robot is a machine capable carrying out complex series actions automatically, especially one programmable by computer. can be controlled human modified its functionality at runtime operator. From past few decades, contributing Robotics. There no end technology, creativity, innovation. The project designed develop using...

The importance of graph analytics cannot be undermined. It has always been a question for the researcher that how to deal with dense graphs. visual is one best sources creating its remarkable, distinct impact in field data science. and big fascinated wide range attention from researchers scientist all over world. By using most advanced tools graph, can lead useful productive results various domains which include life sciences, business, computer engineering so on. Biological represented...

Abstract GSD is a Global software development environment where data are distributed to more than two sites. These sites may be located on national or continental borders. Every year it expands its volume, which has become trend for the business. Because of increasing demand, common type The value offshore increased immensely. According recent predictions, one-quarter US software-related business shifts offshore, including integration and management-related services. helps explore resources...

Flood events pose significant risks to infrastructure and populations worldwide, particularly in Punjab, Pakistan, where critical must remain operational during adverse conditions. This study aims predict flood-prone areas Punjab assess the vulnerability of infrastructures within these zones. We developed a robust Susceptibility Model (FSM) utilizing Maximum Likelihood Classification (MLC) model Analytical Hierarchy Process (AHP) incorporating 11 flood-influencing factors, including...