VANET is a branch of MANETS, where each vehicle node, and wireless router will run. The vehicles are similar to other interact with wide range nodes or establish network. VANETs provide us the infrastructure build new solutions for improving safety comfort drivers passengers. There several routing protocols proposed evaluated VANET's performance. simulator preferred over external experience because it easy, simple, inexpensive. In this paper, we choose AODV protocol, DSDV DSR protocol five...

By 2050, the world’s population will have increased by 34%, to more than 9 billion people, needing a 70% increase in food production. Prepare dishes with fewer ingredients. Therefore, critical goal of manufacturers is production while being ecologically benign. Supply chain systems that do not enable direct farmer-to-consumer connection and rising input costs influence data collection, security, sharing. Constraints on manipulation, single-point failure are unfulfilled due lack centralized...

The Ad-hoc vehicle networks (VANETs) recently stressed communications and networking technologies. VANETs vary from MANETs in tasks, obstacles, system architecture operation. Smart vehicles RSUs communicate through unsafe wireless media. By nature, they are vulnerable to threats that can lead life-threatening circumstances. Due potentially bad impacts, security measures needed recognize these VANET assaults. In this review paper of security, the new approaches summarized by addressing...

Vehicular ad hoc network (VANET) is a subset of mobile (MANET) which it was proposed in the last few years to improve road safety. Many designs were integrated into modern innovation wireless sensor (WSN) with VANET. So, this combination overcomes VANET's breakdown inability identify hazardous conditions on time and maintain communication connectivity low-density area such as rural areas. It called Hybrid Sensor Network (HSVN) nodes are distributed along roadsides have centralized channel...

Automatic freshness classification of fruits and veg-etables is an active area research in the modern era. In order to maintain preserve grade quality fruits, need speed up processing a great urge. The fruit Hog Plum noted have high demand Indian subcontinents. this work we utilized deep learning based techniques for performing on hog fruit. work, four convolutional neural network models viz. ResNet18, MobileNetV2, MobileNetV3-Small, MobileNetV3-Large pre-trained ImageNet dataset which were...

Abstract Recent advances in wireless sensor networks ( WSNs) have inspired various new applications, including target tracking and monitoring of ecosystems. Nevertheless, a large amount data energy consumption WSNs is utilized by communication. However, aggregation techniques can eliminate redundant being transferred back to the base station thereby lessening energy. Security features like integrity, confidentiality accumulation latest great importance if WSN extremely hostile or remote...

Determining the quality of fruit can be very challenging without proper understanding. There are many factors that result in determining and therefore actual taste any given fruit. In this paper we attempt to determine guava on what considered three most important aspects flavour by experts, those being, Colour, Shape texture. All these will determined a scale 1–5. order produce results, using an exceptional deep learning architecture primary dataset curated panel experts who photographed...

In the field of communication, one most thriving and prevalent subject is channel coding. Channel coding generally deals with bandwidth which bit-rate or information storage capacity. It a technical relies heavily on cost. fact, it undeniable that cost crucial element in every system. Nowadays, together latency time also an equally significant factor, especially mobile communication. The objective this paper to analyse compare distinctively three types codes namely, turbo codes, LDBC BCH all...

Diabetes mellitus is a chronic, life-threatening, and complicated condition. Around 1.5 million deaths due to diabetes have been documented, according World Health Organization (WHO) estimation in 2019. In the world of medicine, predicting risk difficult time-consuming task. Many past studies conducted investigate clarify symptoms variables. To solve these persisting issues, however, more critical clinical criteria must be considered. A comparative analysis based on three soft computing...

A coalition of IoT devices, such as the smart houses, health care system, device and many more, can share resources through communication lines. The Internet is integrated with physical world over existing network infrastructure, allowing intelligent devices to data more efficiently. As IOT have specific characteristics having low processing power, limited memory energy, securing access them requires special requirements. Because their complex management access, incredulity due centralized...

VANET is a subset of mobile ad hoc network MANET and it was proposed in the last few years to increase safety value on road. There are many routing protocols as data dissemination method which classified based how they route packet from source destination. In this project, proactive OLSR protocol reactive one AODV evaluated under different traffic scenario using simulator NS-3. The basic common geographical topology crossroad. mobility density differed be high low-density. congestion period...

<span>Vehicular ad-hoc networks (VANETs) technology has been emerged as a critical research area. Being in nature, VANET is type of that created from the concept establishing network cars for specific need or situation. Communication via routing packets over high-speed vehicles challenging task. Vehicles mobility, speed can vary depending on road specification. However, highway, be increase up to 120 – 200 Km/H. Moving at high affect efficiency data delivery. In particular V2I traffic...

Recent advancements in the field of rehabilitation robotics have led to development variety exoskeletons that are used extensively during therapeutic exercises for poststroke patients. These robotic devices meant provide ease and comfort patient undergoing therapy, so controlling these robots effectively is very crucial. Widely control algorithms linear controllers which not much robust efficient as compared non-linear controllers. Since highly nonlinear nature, therefore required can...

Skin cancer is one of the most common cancers worldwide caused by excessive development skin cells. Considering rapid growth use deep learning algorithms for detection, selecting optimal algorithm has become crucial to determining efficiency computer-aided diagnosis (CAD) systems developed healthcare sector. However, a sufficient number criteria and parameters must be considered when an ideal algorithm. A generally accepted method benchmarking models classification unavailable in current...

<p class="Abstract"><span lang="EN-US">Moving is the key to modern life. Most things are in moving such as vehicles and user mobiles, so need for high-speed wireless networks serve high demand of application becomes essential any network design. The use web browsing, online gaming, on-time data exchange like video calls an example means that users a rate fewer error communication links. To satisfy this, increasing bandwidth available each will enhance throughput communication,...

A virtual setting that provides experiences in real-time is introduced through a new field of research called metaverse. Combining the metaverse with healthcare results unique real-space experience enables both patients and physicians to evaluate health their respective engage in-person interactions. The collection technologies includes elements artificial intelligence, reality, augmented Internet Things, more. integration has made it possible focus on patient's more accurate, effective,...

Abstract Lung cancer is one of the most common deadly malignant tumours, with rapid morbidity and death worldwide. Cancer risk prediction a challenging complex task in field healthcare. Many studies have been carried out by researchers to analyse establish lung symptoms factors. However, further improvements are vital required be conducted order overcome persistent challenges. In this study, multi-criteria decision support system for based on web-based survey data has presented realised. The...

Millions of people worldwide suffer from depression. Assessing, treating, and preventing recurrence requires early detection depressive symptoms as depression-related datasets expand machine learning improves, intelligent approaches to detect depression in written material may emerge. This study provides an effective method for identifying texts describing self-perceived by using long short-term memory (LSTM) based recurrent neural networks (RNN). On a huge dataset suicide taken Kaggle with...

Internet of things is the most emergent technology, expanding interconnected device networks day by to enhance ease control and monitoring. IoTs are not covering commercial utility but also providing emergency benefits health care centres too. The extensive number connections over a network challenges huge cost operation management. recent research activity deals with anomaly detection in IoT wide networks. automatic malfunctioning tedious task for researchers. real-world system analysis...

In the Vehicular Ad hoc NETwork (VANET) communications, presence of intersections, vehicles, and obstacles such as buildings may obstruct signal propagation especially in urban areas. Moreover, vehicle's mobility density also cause intermittent inter-vehicle connection due to unpredictable diverse channel conditions. Rate adaptation is key method VANET predict prevailing conditions decide appropriate transmission rate quickly based on status. Although various algorithms using closed open...