In the present study, BiVO4/CuCr2O4 nanocomposites synthesized via a chemical route are applied as photocatalyst for degradation of methylene blue (MB) dye. The photocatalytic activity results indicated substantial MB dye by ∼90% over surface nanocomposite catalyst under visible light illumination. showed which is three times higher compared to that BiVO4. This has been attributed photogenerated electron–hole pair charge separation. prepared photocatalysts were characterized using X-ray...

Abstract Internet of Things (IoT) and Data science have revolutionized the entire technological landscape across globe. Because it, health care ecosystems are adopting cutting‐edge technologies to provide assistive personalized patients. But, this vision is incomplete without adoption data‐focused mechanisms (like machine learning, big data analytics) that can act as enablers early detection treatment patients even admission in hospitals. Recently, there has been an increasing trend...

A typical time series classification issue that has recently received a lot of attention is eye state identification. To classify the states eyes, electroencephalography (EEG), method for detecting human cognition, frequently employed. For first time, depth factorization machine model was used to evaluate an EEG signal, and outcomes were based on user involvement characteristics. The objective this study create trustworthy learning determining states. As there scope improvement while using...

Hybrid electric vehicles (HEVs) represent a significant advancement in automotive technology, bridging the gap between conventional and pure by combining two distinct power sources. This integration enhances car efficiency addresses concerns about high fuel consumption emissions traditional vehicles. The transition to hybrid models reduces harmful petrol emissions, contributing positively environmental sustainability mitigating impacts of global warming. Machine learning (ML) algorithms play...

Cloud computing provides IT Services to the user throughout world according their needs. There is a huge usage of electric power dues accelerating demand for large scale data centres required processing potential, by scientific web operations. To provide high-level computation in distributed system such as clouds an enormous amount energy consumed and handling this applying optimal virtual machine scheme major task. We have defined architectural framework conscious mapping available machines...

Chronic Kidney disease is a significant public health concern across the world, with rising incidence and prevalence, as well negative effects such renal failure, cardiovascular disease, early mortality. A condition where kidney reaches advanced state of loss function. Unfortunately, there no treatment for this condition; but, by detecting it early, possible to halt its growth mitigate harm. As result, recognizing sickness at an stage now major concern. If risk factor chronic can be...

Pattern recognition is one of the major concerns in field machine learning. Appropriate Recognition patterns leads to addressing performance concerns. Machine Learning [ML], a subset Artificial Intelligence [AI] plays an important role process classification, clustering and predictive modeling. This paper focuses on developing novel classification technique classify iris plant order categorize flower pattern. An optimized ensemble model proposed recognize Initially, Decision Tree, OneR,...

IoT is rebuilding and restructuring the nation with technological advancement all set of Pros Cons associated Technology. There has been much talk about `Smart' or `intelligent' cities these days. All around world government organizations, administrators technocrats are working as a team to design an intelligent city that will provide easy better life residents. Smart City Mission, urban renewal retrofitting program by Government India mission develop 100 across country making them citizen...

Mobile Ad Hoc Networks (MANET) are autonomous, infrastructure less and self-configuring networks. MANETs has gained lots of popularity due to on the fly deployment i.e. small network setup time ability provide communication in obstreperous terrains. Major challenges include routing, energy efficiency, topology control, security etc. Primary focus this article is method algorithm ensure significant savings using re-configurable directional antennas. Significant gains can be clinched antenna....

Parallel Processing has been a widely studied field, used and implemented in computational systems. Many different types of topologies processors have their performance analyzed. The processor technology keeps evolving so capability must be utili zed accordingly when employed parallel In this article, new intra-parallel architectures (segmented/heterogeneous) an intelligent co-operative protocol to optimally utilize the components design. More precisely friendship based load balancing...

The wireless sensor networks are prone to various connectivity, coverage and localization issues.All of these three terms related the neighbor formation, connectivity convergence networks.There several existing solutions available against problems.This paper proposes a survey on techniques overcome issues coverage, formation.The surveyed under this novel threedimensional DV-Hop algorithm (NTLDV-HOP), distance vector hop (DV-HOP), Received Signal Strength Indicator (RSSI) correction value...