This study aims to improve the accuracy of epileptic seizure prediction using cloud-based, real-time electroencephalogram analysis. The goal is build a strong framework that can quickly process (EEG) data, extract relevant features, and use advanced machine learning algorithms predict seizures with high low latency by taking advantage cloud platforms' computing power scalability. main objective provide patients their caregivers timely notifications so they may control epilepsy episodes...

Using the complementary strengths of Bayesian networks, decision trees, artificial neural networks (ANNs), and Markov models, this endeavor intends to completely revamp clinical decision-making. In order provide instantaneous access image-driven insights support systems (CDSS), want create a revolutionary framework that merges these cutting-edge methods with cloud-enabled technologies. The proposed gives comprehensive perspective patient data by merging probabilistic reasoning...

Exploring the video conferencing algorithms for cloud-powered telepsychiatry to improve mental healthcare access. The goal is evaluate and optimise these algorithms' latency, bandwidth utilisation, packet loss, jitter across worldwide locations. To provide a smooth high-quality virtual consultation between patients health providers. Using performance data identify areas development, effort aims lower technological hurdles increase session dependability. Findings will help create strong,...

Breast cancer is the second leading for women in developed countries including India. Many new detection and treatment approaches were developed. The most effective way to reduce breast deaths detect it earlier. frequent occurrence of its serious consequences have attracted world wide attention recent years. Problems such as low rate accuracy poor self-adaptability still exist traditional diagnosis. In order solve these problems, an Ada Boost-SVM classification algorithm, Combined with...

Breast cancer is the second leading for women in developed countries including India.Many new detection and treatment approaches were developed.The most effective way to reduce breast deaths detect it earlier.The frequent occurrence of its serious consequences have attracted worldwide attention recent years.Problems such as low rate accuracy poor self-adaptability still exist traditional diagnosis.In order solve these problems, an Ada Boost-SVM classification algorithm, Combined with k-means...

Multiple uses of Wireless Sensor Networks (WSNs) in the real world would need probable dispersion a large number sensor nodes. The adaptability and flexibility is very difficult traditional WSNs which balancing load technology. Software-defined networking (SDN) good choice because it lets you see what resources are used also set up boundaries. In WSN, highest traffic causes an overflow data queue. As result, important should be lost. Also, node's energy rapidly drained, whole network's...

The quick rise of smartphone malware indicates that cybercriminals are switching from traditional personal computer systems to mobile devices. For adequate security, technology specialists currently creating new anti-malware techniques. This study proposes the use a block chain identify malicious applications. Two internal and external proprietary chains combined create private dual alliance for decision-making process in system. While stores blocks apps existing models, include drawn both...

Wireless sensor networks (WSNs) have become increasingly popular as distributed systems using small, lightweight nodes with limited resources for monitoring environmental conditions or measuring physical parameters. To minimize energy utilization, data aggregation can be employed to reduce the quantity forward base station (BS). solve these issues, a Gray wolf optimization algorithm (GWOA) is proposed enhance in WSN. Increasing network lifetime, node reliability, and throughput selection of...

Wireless Mesh Networks (WMNs) have been widely used in various industries, including industrial control, environmental monitoring, and military operations. The performance of WMNs may be improved with the help an exciting new technique called network coding (NC). In particular, NC is appropriate for WMN since energy supply to fixed backbone often limitless. However, collision a serious issue that negatively impacts network. To solve these issues, Peer (P2P) Information inter-change Network...

Abstract: For the aim of exploring deep undersea world map, a picture high quality without interfering objects is preferred. However, within water, image tends to be hampered by light scattering, water density, and attenuation. effects. Besides, dynamic interference may affect important underwater map. during this paper, we proposed multi-step all-around processing system, especially for images taken in succession enhance quality, remove interference, reconstruct image. The first step...

Internet of Things (IoT) technology has improved ambulance safety and efficiency. In services, Smart PPE (Personal Protective Equipment) improves patient healthcare worker via IoT connectivity. crises, ambulances are vital. However, professionals risk contagious infections physical damage. Though vital, traditional lacks real-time monitoring communication, leaving workers exposed. These issues addressed with using IoT. This novel invention adds sensors communication devices to paramedic EMT...