Abstract The volume of data transferred across communication infrastructures has recently increased due to technological advancements in cloud computing, the Internet Things (IoT), and automobile networks. network systems transmit diverse heterogeneous dispersed environments as technology develops. communications using these networks daily interactions depend on security provide secure reliable information. On other hand, attackers have their efforts render susceptible. An efficient...

Recognition of facial images is one the most challenging research issues in surveillance systems due to different problems including varying pose, expression, illumination, and resolution. The robustness recognition method strongly relies on strength extracted features ability deal with low-quality face images. proficiency learn robust from raw makes deep convolutional neural networks (DCNNs) attractive for recognition. DCNNs use softmax quantifying model confidence a class an input image...

Internet of Things (IoT) devices are widely being used in various smart applications and equipped with cognitive radio (CR) capabilities for dynamic spectrum allocation. Our objectives this work to achieve higher data rates minimize end-to-end routing delays CR-enabled IoT communication order maximize throughput. We propose a reinforcement learning (RL)-based approach the network (CRN)-based environment. The idea is add channel selection decision capability layer packet collisions as well...

The traditional big-data analytical approaches use data clustering as small buckets while providing distributed computation among different child nodes. These bring the issues especially concerning network capacity, specialized tools and applications not capable of being trained in a short period. Furthermore, raw generated through IoT forming big comes with capability producing highly unstructured heterogeneous form data. Such grows into challenging task for real-time analytics. It is...

Diabetes, a chronic metabolic condition characterised by persistently high blood sugar levels, necessitates early detection to mitigate its risks. Inadequate dietary choices can contribute various health complications, emphasising the importance of personalised nutrition interventions. However, real-time selection diets tailored individual nutritional needs is challenging because intricate nature foods and abundance sources. Because diabetes condition, patients with this illness must choose...

In Mobile Ad hoc Network (MANET) enabled Internet of Things (IoT) agricultural field monitoring, sensor devices are automatically connected and form an independent network that serves as a cloud for many services such securing, properly maintaining. Cloud-based in MANET models can prove to be extremely effective way smart functionalities device-to-device information exchange. Security is serious issue with Cloud-MANET-based IoT since nodes scattered, mobile, lacking centralized...

Abstract The growing volume of traffic generates the ultimate challenge on research for control. Vehicle automation is getting closer to reality due massive mobile communication capacity provided by fifth‐generation (5G) wireless sensor networks (WSNs). Nowadays, manually controlling and monitoring vehicles at rush hours becoming difficult safety Thus, present condition requires providing control services devices, which are functioning in real‐time worldwide mode through soft Internet...

The Internet of Things (IoT) is involved in dealing with physical items, gadgets, vehicles, structures, and different things that are inserted into hardware, programming, sensors, system availability, which empowers these items to gather trade information. Improving extraction sensor-based data for energy awareness then annotating it converting semantically enabled form analyzing results the use improved tools applications focus this research. However, as amount real time gets huge, becomes...

The growing popularity of artificial intelligence approaches has led to their application in a wide range engineering fields. most widely used tool, neural networks, can be predict data with high accuracy. An network approach is being effective and accurate thermal conductivity viscosity models for hybrid nanofluid systems. Here, new types correlations relating the thermophysical properties Fly Ash–Cu nanoparticles diameter sized 15.2[Formula: see text]nm which are temperature-dependent...

In Mobile Ad-hoc Network based Internet of things (MANET-IoT), nodes are mobile, infrastructure less, managed and organized by themselves that have important role in many areas such as Computing, Military Sector, Sensor Networks Commercial medical etc. One major problem MANET IoT is security because having not any central administrator also reliable. So, MANET-IoT more defenseless to denial-of-service attacks for-example Blackhole, Wormhole, Gray-hole To compare the performance network under...

Summary Geo‐related data, also known as spatial is represented using a vector used for representing longitude, elevation, and latitude. Specially built systems, well Geographical Information Systems (GIS), made use of such data querying, manipulating, navigation, analyzing. In the current era science needs to involve smart interactive investigation involving Internet Data (IoD) on predicting upcoming changes updates map growing rapidly. To resolve issues concerning real‐time transformation...

Research in era of data representation to contribute and improve key policy involving the assessment learning, training English language competency. Students are required communicate with high level impact using influence. The electronic technology works assess students' questions positively enabling semantics intelligence field concerning education health. Assessing importance complexity statement used a query can save effort needed automate questionnaire system better skill testing...

The collection of raw data is based on sensors embedded in devices or the environment for real-time extraction. Nowadays, Internet Things (IoT) used to support autonomous by reducing human involvement. It hard analyze such data, especially when working with a environment. On using analytics IoT help RDF, many issues can be resolved. Resultant will have better chance quality reforming into semantical annotation. Industrial correspondence through improved induction semantics at large due...

Electronic Assessment (E-Assessment) also known as computer aided assessment for the purposes involving diagnostic, formative or summative examining using data analysis. Digital assessments come commonly from social, academic, and adaptive learning in machine readable forms to deliver scoring function. To achieve real-time smart e-assessment, modeling needs dramatic improvements at level of representation which will improve examinees gain prompt response instantly after attempting exams....

Cognitive Radio Network (CRN) has turn up to solve the issue of spectrum congestion occurred due wide spread usage wireless applications for 6G based Internet Things (IoT) network. The Secondary Users (SUs) are allowed access dynamically frequency channels owned by Primary (PUs). In this paper, we focus matter contention routing in multi hops setup SUs a known destination presence PUs. traffic model is generated on basis Poison Process Markov Model. Every SU requires reduce end-to-end delay...