Due to digitization, a huge volume of data is being generated across several sectors such as healthcare, production, sales, IoT devices, Web, organizations. Machine learning algorithms are used uncover patterns among the attributes this data. Hence, they can be make predictions that by medical practitioners and people at managerial level executive decisions. Not all in datasets important for training machine algorithms. Some might irrelevant some not affect outcome prediction. Ignoring or...

Summary Recently Internet of Things (IoT) is being used in several fields like smart city, agriculture, weather forecasting, grids, waste management, etc. Even though IoT has huge potential applications, there are some areas for improvement. In the current work, we have concentrated on minimizing energy consumption sensors network that will lead to an increase lifetime. this optimize consumption, most appropriate Cluster Head (CH) chosen network. The proposed work makes use a hybrid...

Abstract Human–computer interaction (HCI) and related technologies focus on the implementation of interactive computational systems. The studies in HCI emphasize system use, creation new techniques that support user activities, access to information, ensures seamless communication. use artificial intelligence deep learning-based models has been extensive across various domains yielding state-of-the-art results. In present study, a crow search-based convolution neural networks model...

In this modern world, we are accustomed to a constant stream of data. Major social media sites like Twitter, Facebook, or Quora face huge dilemma as lot these fall victim spam accounts. These accounts made trap unsuspecting genuine users by making them click on malicious links keep posting redundant posts using bots. This can greatly impact the experiences that have sites. A time and research has gone into effective ways detect forms spam. Performing sentiment analysis help us in solving...

Detecting dangerous illnesses connected to the skin organ, particularly malignancy, requires identification of pigmented lesions. Image detection techniques and computer classification capabilities can boost cancer accuracy. The dataset used for this research work is based on HAM10000 which consists 10015 images. proposed has chosen a subset performed augmentation. A model with data augmentation tends learn more distinguishing characteristics features rather than without Involving improve...

The Internet of Things (IoT) is a network numerous devices that are consistent with one another via the internet. Wireless sensor networks (WSN) play an integral part in IoT, which helps to produce seamless data highly influence network’s lifetime. Despite significant applications several challenging issues such as security, energy, load balancing, and storage exist. Energy efficiency considered be vital design IoT-assisted WSN; this accomplished by clustering multi-hop routing techniques....

Nowadays, healthcare is the prime need of every human being in world, and clinical datasets play an important role developing intelligent system for monitoring health people. Mostly, real-world are inherently class imbalanced, also suffer from this imbalance problem, imbalanced distributions pose several issues training classifiers. Consequently, classifiers low accuracy, precision, recall, a high degree misclassification, etc. We performed brief literature review on learning scenario. This...

In today’s world, diabetic retinopathy is a very severe health issue, which affecting many humans of different age groups. Due to the high levels blood sugar, minuscule vessels in retina may get damaged no time and further lead retinal detachment even sometimes glaucoma blindness. If can be diagnosed at early stages, then affected people will not losing their vision also human lives saved. Several machine learning deep methods have been applied on available data sets retinopathy, but they...

Diabetes is the "mother of all diseases" as it affects multiple organs body an individual in some way. Its timely detection and management are critically important. Otherwise, long run, can cause several complications a diabetic. Heart disease one major diabetes.This work proposed Optimal Scrutiny Boosted Graph Convolutional LSTM (O-SBGC-LSTM), SBGC-LSTM enhanced by Eurygaster Optimization Algorithm (EOA) to tune hyperparameters for early prevention diabetes disease. This method not only...

Brain cancer is a rare and deadly disease with slim chance of survival. One the most important tasks for neurologists radiologists to detect brain tumors early. Recent claims have been made that computer-aided diagnosis-based systems can diagnose by employing magnetic resonance imaging (MRI) as supporting technology. We propose transfer learning approaches deep model malignant tumors, such glioblastoma, using MRI scans in this study. This paper presents learning-based approach tumor...

When used in conjunction with the current floorplan and optimization technique circuit design engineering, this research allows for evaluation of parameters that can be to reduce congestion during integrated fabrication. Testing multiple alternative consequences IC will extremely beneficial situation, as demonstrated further below. If importance placement routing concerns is underappreciated, implementation may experience significant nonlinear problems throughout process a result...

Privacy preservation of image data has been a top priority for many applications. The rapid growth technology increased the possibility creating fake images using social media as platform. However, people, including researchers, rely on various purposes. In rural areas, lane have high level importance, this can be used analyzing conditions. is also being forged. To overcome and to improve privacy data, real-time solution proposed in work. methodology assumes input, which are further...

Internet of Things (IoT) and related applications have successfully contributed towards enhancing the value life in this planet. The advanced wireless sensor networks its revolutionary computational capabilities enabled various IoT become next frontier, touching almost all domains life. With enormous progress, energy optimization has also a primary concern with need to attend green technologies. present study focuses on predictions pertinent sustainability battery frameworks marine...

The cry is a loud, high pitched verbal communication of infants. very fundamental frequency and resonance characterize neonatal infant having certain sudden variations. Furthermore, in tiny duration solitary utterance, the signal also possesses both voiced unvoiced features. Mostly, infants communicate with their caretakers through cries, sometimes, it becomes difficult for to comprehend reason behind newborn cry. As result, this research proposes novel work classifying cries under three...

Federated learning still faces many problems from research to technology implementation and the most critical problem is that communication efficiency not high. Therefore, main task of this work improve efficiency, affected by devices, bandwidth, data distribution so on. Our focus on two aspects federated – updates strategy heterogeneity, propose a new framework called TKAGFL, which composed three key factors. Firstly, in response heterogeneity often occurs actual learning, generative...