Bioinformatics and Healthcare Integration Disease prediction models have been revolutionized by Big Data. These models, which make use of extensive medical data, predict illnesses before symptoms appear. Deep neural networks are well-known for their ability to increase accuracy extending the network's depth modifying weights through gradient descent. Traditional approaches, however, hindered issues such as instability delayed training. As a substitute, Broad Learning (BL) system is...

The increasing integration of telehealth systems underscores the importance robust and secure methods for patient data management. Traditional authentication methods, such as passwords PINs, are prone to breaches, underscoring need more alternatives. Therefore, there is a alternative approaches that provide enhanced security user convenience. Biometric-based uses individuals unique physical or behavioral characteristics identification, have emerged promising solution. Specifically,...

Abstract It is necessary to study the seismic problem of buildings and structures for various safety reasons. Such as prevent reduce damage caused by earthquakes greatest extent possible, research feasible analysis methods, simulate performance structure under earthquake action computer, keep its design in future action, ensure people's lives property. The based on nonlinear vibration control proposed. SAP2000 software used establish model, foundation isolation floor model a 15-story large...

Alzheimer is an illness that influences the mind and it also causes to degenerate nerve cells specifically engaged with memory scholarly capacities. During conclusion of Alzheimer's Diseases, moral difficulties arise, because there now no issue for patients using pharmaceuticals from restorative preliminaries, which appear be mild movement infection as minor, consequences are rarely severe. In this unique circumstance, examination clinical pictures became, applications, a fundamental...

Abstract Cognitive radio networks have emerged as a promising solution to the growing problem of spectrum scarcity and inefficient utilization. By enabling secondary users opportunistically access underutilized frequency bands while avoiding harmful interference primary users, cognitive offer potential for more efficient dynamic allocation. In this paper, we propose an intelligent approach using fuzzy logic in networks. The key challenge lies sensing, decision-making, channel selection,...

In the field of research on wireless visual sensor networks, human activity recognition (HAR) using consumer electronics is now an emerging area in both academic and industrial sectors, with a diverse range applications. However, implementation HAR through computer vision methods highly challenging electronic devices, due to their limited computational capabilities. This means that mainstream approaches which computationally complex contextual networks variants recurrent neural are used...

Abstract With the technological evolutionary advent, a vision-based approach presents remote measuring for analysis of vibration. The structure vibration test and model parameter identification in detection bridge evaluation occupies important position. to operate safely reliably is ensured, according geological data qixiashan lead-zinc mine engineering actual situation, with aid international mining software Surpac. To build 3D visualization application production are discussed. results...

The Internet of Things (IoT) has demonstrated over the past few decades to be a powerful tool for connecting various medical equipment with in-built sensors and healthcare professionals deliver superior health services that also reach remote areas. In addition reducing costs, increasing access clinical services, enhancing operational effectiveness in industry, it enhanced patient safety. Recent research focused on using EEG assist comprehend brain changes rehabilitation facilities. These...

Abstract The timely diagnosis and identification of apple leaf diseases is essential to prevent the spread ensure sound development industry. Convolutional neural networks (CNNs) have achieved phenomenal success in area disease detection, which can greatly benefit agriculture However, their large size intricate design continue pose a challenge when it comes deploying these models on lightweight devices. Although several successful (e.g., EfficientNets MobileNets) been designed adapt...

ABSTRACT With the rapid development of intelligent transportation systems presents significant opportunities for vehicular ad hoc networks (VANETs) present themselves; yet, these also encounter numerous security challenges. In order to maintain road safety and traffic efficiency, information is usually shared through communication between vehicle nodes or roadside units (RSUs). Vehicle nodes, RSUs, trusted authorities (TAs) constitute majority VANETs. An approach hybrid trust management that...

Abstract Improved Reliability and Low Latency Communication (IRLC) with Augmented Reality (AR) has become an emerging technology in today’s world. To minimize accessory adaptation for Customer Equipment (CE) AR, it may be feasible to offload the AR workload onto onboard devices. Mobile-Edge Computation (MEC) will improve throughput of a CE. MEC caused enormous overhead or communication omissions on wireless media, making difficult choose optimal payload proposition. The proposed system...

Abstract There are an increasing number of Narrow Band IoT devices being manufactured as the technology behind them develops quickly. The high co‐channel interference and signal attenuation seen in edge make it challenging to guarantee service quality these devices. To maximise data rate fairness devices, a multi‐dimensional indoor localisation model is devised, consisting transmission power, scheduling, time slot based on network that employs non‐orthogonal multiple access via relay. Based...

The perception and recognition of objects are essential for meeting consumer needs in the realm technology. Current research exploring association between variations brain activity their prospective application user-friendly brain-machine interfaces (BMIs) has been growing significant momentum. To this end, a novel model is proposing that enhance detection event-related potentials (ERP) from EEG signals, particularly visual object across different subjects, incorporating next generation...

Increased population has led to create the environmental related issues. Zinc Oxide great attention due its application in versatile smart and functional material. In recent paper, we have observed variation shape size for different precursor (0.45 M - Zn acetate dihydrate, nitrate hexahydrate) with aloe vera extract ZnO nanoparticles, data analytics been prepared annealing at 650 ∘C. The solution was analyzed by using simple method. Structural, morphological, optical electrical properties...