The abstract presents a research study focusing on real-time license plate verification, key feature of electronic systems that operate by rapidly identifying and removing identification numbers from vehicle registration in dynamic global environment. leverages the combination artificial intelligence (AI) machine learning (ML) techniques, specifically integration region-based convolutional neural networks (RCNN) advanced RCNN algorithms, to create powerful readily available system. In terms...

In today's digital world filled with information overload, preventing the rampant spread of fake news has become an urgent task. Discover Fake News Prediction System (FNPS), which uses advanced machine learning and technology to provide innovative solutions powerful methodologies. Natural language processing methods. FNPS sophisticated feature engineering from diverse, curated datasets identify underlying patterns in fraudulent content significantly improves ability recognize authenticity....

In this study, we propose a new music recommendation system (MRS) that combines facial expression recognition technology and deep learning algorithms to respond the changing industry environment provide personalized recommendations based on user's emotional state. Our approach includes thorough study of recognition, emotion-based systems, engines, as well detailed presentation MRS design, architecture, engines used. Through extensive experiments, evaluate MRS's ability accurately recognize...

Cancer, a lethal disease stemming from genetic anomalies and biochemical irregularities, presents major global health challenge, with lung colon cancers being significant contributors to morbidity mortality. Timely precise cancer detection is crucial for optimal treatment decisions, machine learning deep techniques offer promising solution expediting this process. In research, pre-trained neural network, specifically AlexNet, was fine-tuned modifications four layers adapt it dataset...

Malaria is a deadly disease which can be spread by the Plasmodium parasites.The existence of malaria identified professional microscopists who examine microscopic blood smear images.But it remains challenge owing to unavailability experts, poor resolution images, and insufficient diagnostic quality.Therefore, image processing machine learning (ML) models employed detection parasites using images.With this motivation, study introduces an optimal based automated parasite classification...

In the current digital context, recommendation algorithms must be used. It has found use in various contexts, including music streaming services and athletics. Athletic systems have received little study attention. Sedentary lifestyles are now primary cause of many flaws a significant portion expenses. Based on user profiles, connections to other users, histories study, we create system suggest daily workout plans athletes. The created uses profiles users temporal processes Adaptive Support...

In computer vision and robotics, reconstructing multi-view 3D images is essential for accurate object representation from 2D data. the first study, optimised weights through Adaptive School of Fish Optimisation are combined with networks to introduce a Residual Network-50 model deep learning-based image reconstruction. On ShapeNet dataset, this method demonstrates superior accuracy (0.993), F-score (0.734), IoU (99.3%). Using Concurrent Excited DenseNet (CED)for feature extraction...

Summary Healthcare organizations are appending advanced scientific tools for processing digital data effectively due to enterprise demands. Among the recent tools, edge computing plays a vital role in aggregation and dissemination of from healthcare monitoring devices. A challenge computing‐based Internet Medical Things (IoMT) systems energy‐efficient devices which turn improves overall lifetime network thus quality system. In years, significant number approaches developed solving energy...

The Cloud system shows its growing functionalities in various industrial applications. safety towards data transfer seems to be a threat where Network Intrusion Detection System (NIDS) is measured as an essential element fulfill security. Recently, Machine Learning (ML) approaches have been used for the construction of intellectual IDS. Most IDS are based on ML techniques either unsupervised or supervised. In supervised learning, NIDS labeled it reduces efficiency reduced model identify...

Due to numerous modern scientific developments and new perceptions, the research on wireless body area networks (WBANs) low power communications, pervasive health monitoring management services are increasingly popular. A major challenge for healthcare is how provide enhanced a growing number of people using limited financial human resources. Pervasive reflected solution many existing problems possible future current services. In simple terms, can be defined as anyone, anytime, anywhere by...